1. Project title SEAMAN. Spatially resolved Ecosystem ...CVs.pdf · 1. Project title (acronym)...

2. General information on the Coordinator and partners involved

Applicant/ Coordinator – Partner 1 Organization University of Bergen

Organization type: Research institute/ Company/Private/Public

Research Institute, Public

Organization address Museplass 1, 5007 Bergen, Norway

Head of institution Sigmund Grønmo E-mail: [email protected]

Website www.uib.no Country Norway Region Hordaland

Funding organization RCN

Researcher in charge

Family name Schrum First name(s) Corinna

Title Prof. Dr. Gender Female x Male �

Department of the organization

Geophysical Institute Position held in the organization Professor

Phone +47 55582620 Fax +47 55589883

E-mail [email protected]

Web site http://www.uib.no/People/csc064/

Key personnel Corinna Schrum, Ute Daewel, Knut Barthel

1. Project title (acronym)

SEAMAN. Spatially resolved Ecosystem models and their Application to Marine MANagement

Duration of the project: 01/01/2013 - 31/12/2015

Partner 2 Organization name (acronym/full name in English and in original language)

Institute of Marine Research, Bergen, Norway

Havforskningsinstituttet, Bergen, Norge

Organization type: (Research institute/ Company/Private/Public)

Research Institute, public

Organization address Institute of Marine Research, P.O. Box 1870 Nordnes, 5817 Bergen, Norway

Head of institution Tore Nepstad E-mail: [email protected]

Website www.imr.no Country Norway Region Hordaland



Family name Wehde First name(s) Henning

Title Dr. Gender Female � Male X


Research Group Oceanography Position held in the organization Senior Scientist

Phone +47 55238650 Fax +47 55238500


Web site www.imr.no

Key personnel Henning Wehde, Morten Skogen, Geir Huse, Øivind Bergh


Nansen Environmental and Remote Sensing Center (NERSC)


Research Institute, Private

Organization address Thormøhlesgate 47, 5006 Bergen, Norway

Head of institution Peter M. Haugan E-mail: [email protected]

Website www.nersc.no Country Norway Region Hordaland



Family name Samuelsen First name(s) Annette

Title Dr. Gender Female x Male �


Mohn-Sverdrup Center for Global Ocean Studies and Operational Oceanography

Position held in the organization Researcher

Phone +47 55205862 Fax +47 55205801


Web site http://msc.nersc.no/

Key personnel Laurent Bertino, Annette Samuelsen


IFREMER (French Research Institute for the exploitation of the Sea / Institut Francais de Recherche pour l'Exploitation de la Mer)


Research Institute, public

Organization address 155, rue Jean-Jacques Rousseau, 92 138 Issy-les-Moulineaux Cedex

Head of institution Patrick Vincent E-mail: [email protected]

Website www.ifremer.fr Country France Region

Funding organization ANR


Family name Huret First name(s) Martin

Title Dr. Gender Female Male X


RBE

(Biological Resources and Environment) Position held in the organization Researcher

Phone +33 (0)2 98 22 41 36 Fax +33 (0)2 29 00 85 47

E-mail Martin [email protected]

Web site http://annuaire.ifremer.fr/cv/17002/en/

Key personnel

Martin Huret, Pierre Petigas, Franck Dumas, Marc Sourisseau, Hélène De Pontual

Partner 5 Organization University of Iceland


Research Institute, Public

Organization address Institute of Biology, Askja, Sturlugata 7, 101 Reykjavik, Iceland

Head of institution Sigurdur Snorrason E-mail: [email protected]

Website www.hi.is Country Iceland Region Europe

Funding organization RANNIS


Family name Marteinsdottir First name(s) Gudrun

Title Professor Gender Female x Male �


MARCIE at Institute of Biology Position held in the organization

Professor/ Head of MARICE

Phone +354-525-4621 Fax


Web site www.marice.is & www.marice.is/gm

Key personnel

Univ. Iceland: Gudrun Marteinsdottir, Kai Logemann, Bruce MaAdams, Pam Woods

Marine Research Institute: Gudmundur Óskarsson and Kristinn Gudmundsson

Partner 6 Organization Hellenic Centre for Marine Research (HCMR)


Research Centre / Public

Organization address 46,7 km Athens Sounio ave., Mavro Lithari, P.O. Box 712, P.C. 19013 Anavyssos Attica, Greece

Head of institution Prof. Costas Synolakis E-mail: [email protected]

Website www.hcmr.gr Country Greece Region Attica

Funding organization GSRT


Family name Triantafyllou First name(s) George

Title Dr. Gender Female � Male X


Institute of Oceanography Position held in the organization

Research Director

Phone +30-22910 76327 Fax +30-22910 76323


Web site http://www.hcmr.gr/upload_files/File/BIGCV_Ocean_Triantafyllou_GB.pdf

Key personnel

Institute of Oceanography (IO): George Triantafyllou, George Petihakis

Institute of Marine Biological Resources & Inland Waters (IMBR): Stylianos Somarakis, Marianna Giannoulaki, Athanassios Machias

3. Evidence of special competence and references from the applicants and, where applicable, description of the partners preliminary work and results relevant for the projects (including current research projects) The main objectives of the project are:

• To provide new knowledge for a better understanding of the functioning of the marine ecosystem and its spatial-temporal variations to address currently existing challenges in 3-d ecosystem models.

• To develop new and advanced spatially explicit modelling tools capable to resolve the combined influence of multiple ecosystem drivers.

• To advance the 3-d modelling tools into suitable management instruments. Scientists from the project consortium have long experience in developing 3-d coupled physical-biological and biogeochemical models for the marine environment. The participating research groups are running highly complex coupled model systems for different regions of the North Atlantic Ocean (incl. the productive shelves) and the Mediterranean Sea. They have access to a large diversity of modelling tools, covering a wide spectrum of physical, chemical, biogeochemical and biological processes, including complex higher trophic level – food web approaches. The participating research groups are severely involved in various marine management and assessment activities in the frame of national and international projects and mandatory governmental duties at their home institutions. These activities comprise environmental monitoring, fisheries assessment, pollution risk assessments, eutrophication risk assessment, assessing climate change impacts and risk assessment of invasive species. Project partners are involved in a variety of EU-FP7, MarinERA and ERAnet MARIFISH projects. These comprise a.o. the MarinERA project ECODRIVE, the ERAnet MARIFISH project REPRODUCE, and the FP7 projects MEECE, VECTORS SeaDATANET II and MyOcean II. Within these projects a sound research base and complex 3-d modelling tools have been developed, which have been advanced into operational applications. Of particular interest for the advancement of complex model tools is the group members involvement into the EU-FP7 Stages project. Together the group forms a unique consortium to advance spatially explicit marine modelling tools into a marine ecosystem based management approach. Competence and previous work, research groups and key expertise: UiB-GFI: The research group has long experience in developing coupled physical-biological and biogeochemical models for various regional sea systems. The ECOSMO modelling system, the primary modelling tool of the group, consists of a hydrodynamic-sea ice model core and various modules, such as a NPZD-module (Schrum et al., 2006), a carbon-chemistry module (Blackford and Gilbert, 2007), a pollution fate and transport module (Green

et al., 2011) and various Lagrangian egg and early larvae IBMs (statistical and deterministic, a.o. Daewel et al., 2011; Christensen et al., 2007). The group members moreover developed a first approach to link higher trophic IBMs to functional type NPZD models (Daewel et al., 2008). The group has compiled multi-decadal hindcast model simulations and made the model data available to a wider research community (www.wgoofe.org), the ECOSMO tools were utilized by the Norwegian Pollution Assessment Program (Tilførsel). Institute of the Marine research (IMR), Norway. IMR, with about 700 employees and 2500 ship days pr. year, is a national governmental institution under the Ministry of Fisheries in Norway with a brief for ecosystem monitoring and research for better management of marine ecosystems and aquaculture. IMR is involved in a wide spectrum of activities (field and modeling) and disciplines related to ecosystem dynamics (primary/secondary production, HABs, fish larval growth), bio-physical interactions, and climate. IMR hosts the Norwegian Marine Data center. In the present project, the Oceanography research group will play major roles, providing experts in monitoring the Ocean, coupled physical, chemical and biological ocean modelling, on Ecosystem and stock dynamics and General Microbiology NERSC is an independent research foundation affiliated with the UiB that performs oceanographic research. Within ocean modelling NERSC developed the TOPAZ system which provides forecasts and reanalyses of physical and biogeochemical parameters in the North Atlantic and Arctic (Bertino and Lisæter, 2008). Annette Samuelsen has worked with coupled physical-biological modelling (Hansen and Samuelsen, 2009; Samuelsen et al., 2009), for more than 10 years. Her research has been focused on how physical ocean dynamics influences and shapes the marine ecosystem (Samuelsen et al., 2012; Hansen et al., 2010). For the past few years she has worked on developing the biogeochemical part of the forecast-system in MyOcean. Laurent Bertino is the Research Director, Mohn-Sverdrup Center and expert in charge of the TOPAZ operational system with 15 years of experience in data assimilation and marine environmental statistics (Bertino et al., 2003). He currently leads the eVITA-EnKF grant from the RCN for multidisciplinary applications of data assimilation and the Arctic Marine Forecasting Center in the European MyOcean II project. IFREMER is a public body, the French research organisation with an entirely maritime remit. Ifremer personnel involved in the project are from several Ifremer units: STH (Sciences and Technology for Fisheries), EMH (Ecology and Models for Fisheries) and DYNECO, working together for many years now in interdisciplinary studies, related to integrated ecosystem approaches and modelling in french coastal waters. Dyneco has been developing a coupled physical-biological modelling system ECO-MARS3D (Lazure and Dumas, 2008; Huret et al., 2012) in the Bay of Biscay and English Channel region, which is running in operational mode (www.previmer.org). Recently, a long term hindcast run of this model was performed. Several larval fish IBM have now been coupled to this model (Huret et al., 2010; Rochette and Huret, 2011) and an extension to full life cycle modelling is under development. In addition, the group has strong expertise in data collection and management (fields studies, acoustics, individual markers), as well as in spatial and temporal analysis with statistics in relation with fisheries management (Petitgas and Poulard, 2009) and ecosystem monitoring (Woillez et al., 2009). University of Iceland: The MARICE research group at the University of Iceland is an international group of professors, post docs and PhD students that have focused on a variety of topics ranging from construction of hydrodynamic models for the Icelandic/North Atlantic region to ecological and behavioural physiology of many marine fish and invertebrate species. Much of the ongoing work focuses on Atlantic cod as a model species, because of its national and international economic importance (see http://www.marice.is). In addition to MARICE personnel, scientists at the Marine Research Institute (www.hafro.is) will also participate and provide their expertise and data through a collaborative agreement that has been made between MARICE and the MRI. One of the new post docs to be hired in this project will be positioned at the Institute. The Hellenic Centre for Marine Research (HCMR) is a governmental research organization operating under the auspices of the General Secretariat of Research and

Technology (Ministry of Development). It has the mandate to promote basic research in all fields of aquatic environment and to deliver comprehensive scientific and technical support to the public. It is now composed by the following three Institutes: Oceanography, Marine Biological Resources & Inland Waters, Marine Biology, Genetics & Aquaculture. The project contribution will be provided by staff from the Institute of Oceanography (IO) and the Institute of Marine Biological Resources & Inland Waters (IMBR). The IO has significant experience in Operational Oceanography and the development of ecosystem models. It is the institution responsible for the further development and implementation of the IBM for the Mediterranean. The IMBR is a major Fisheries Institute of the Mediterranean Sea specialized in numerous aspects of Fisheries Ecology and Management. It is the Institution responsible for the collection and management of fisheries data in Greece, for carrying out the direct surveys, including acoustic and egg production (DEPM) surveys for small pelagic fish and for producing assessments of the stocks.

4. Project description 4.1. Background and present state of art in the field

The North Atlantic region is rich in natural resources and contains a number of diverse habitats. Marine resources are utilized a.o. by the sectors of fisheries & aquaculture, tourism, maritime transport, renewable energy and oil and gas exploitation and increasing human activities (offshore and onshore) and climate change impacts put considerable pressures on the marine environment in the North Atlantic and the surrounding shelves. The Mediterranean Sea is characterised as a miniature ocean (Lejeusne et al., 2010) and although generally considered as oligotrophic, it is highly heterogeneous in terms of hydrography, bathymetry and productivity. Moreover, it is a climate transition area and potentially very sensitive to changes in atmospheric forcing (Alcamo et al., 2007).

Both climate change as well as human activities can have a variety of major implications for marine ecosystems and subsequently for individual species. The combined effects of climate induced habitat changes and changes in ecosystem dynamics would alter fish migration pattern or larval drift routes (Drinkwater et al., 2009; Daewel et al., 2011) and hence, impact the risk to be exposed to direct anthropogenic stressors like fisheries, oil spills or other pollutants. Climatic changes would moreover also alter eutrophication risks and impact on productivity and structuring of the marine ecosystem. All these factors influence the potential habitat of a species and could impact survival and growth rates (e.g. Friedland and Todd, 2012). Recent studies (Rijnsdorp et al., 2009; Petitgas et al., 2012) have shown that climate change has major impacts on species distribution and hence, the fish population of an ecosystem including the potential risk for non-indigenous species to enter an ecosystem. A better understanding on the relationship between these two variables – climate change and invasive species – is crucial because they are among the most critical pressures to biodiversity. One particular prominent example for an invasive species, which is of special interest in both North Atlantic and the Mediterranean Sea, is the ctenophore Mnemiopsis leidyi. Being a polymorphic species with wide tolerance to environmental factors and high phenotypic variability (reviewed in Javidpour, 2006), it has been included in the IUCN’s list of 100 "World's Worst" invaders. Deeper knowledge of the variability of Mnemiopsis leidyi habitats in the Mediterranean and the North Atlantic under climate change scenarios and its potential implication for the targeted ecosystems is of crucial importance.

Environmental, social and economic interests often form an area of conflict and sustainable management of marine resources is becoming increasingly important and has been implemented in EU policies and governance strategies such as the Marine Strategy Framework Directive (2008). However, sustainable management of the marine environment and its resources requires a deep understanding of the physical, biogeochemical, and biological processes, their interaction and synergies and impacts on the marine ecosystem. Only with this understanding it is possible to build predictive ecosystem based management models that are able to combine and integrate the major stressors and their environmental impacts. The integrative approach to management of the marine ecosystem implies to develop challenging new tools and approaches that deal with the complexity of interactive processes to evaluate trade-offs by simulating scenarios of management plans. SEAMAN proposes to develop and apply coupled physical-biological spatially explicit models to address this challenge.

Ecosystem models are getting increasingly important to manage the challenges of natural conservation, sustainable use and economic exploitation. They are useful to understand marine ecosystem dynamics, disentangle the impact of various ecosystem drivers and form a powerful tool to evaluate different management options in complex systems. A variety of modelling tools, operating on different levels of complexity, are currently used and/or are under development to address European and national policies. 3-d NPZD models are used for application for eutrophication assessments carried out under the auspices of OSPAR or HELCOM and are getting moreover increasingly applied in the frame of the pollution monitoring programmes, such as the TILFØRSEL programme of the

Norwegian Climate and pollution Agency (e.g. Green et al., 2011). However, uncertainties related to process formulations of growth, respiration, mortality and regenerative production as well as the uncertainties related to the zooplankton compartment form major sources for uncertainties in state of the art NPZD models (Arhonditsis and Brett, 2004; Radach and Moll, 2006). These uncertainties are responsible for large model spread in eutrophication management scenarios and risk assessments as it was illustrated by the BONUS project ECOSUPPORT (Meier et al., 2012). Such uncertainties currently limit the applicability of these models to eutrophication management problems significantly. The increasingly complex models require observational data for parameterization and validation and the employment of new observations appropriate to validate process rates, such as primary production and the transfer between trophic levels is increasingly required to reduce uncertainties in the models. New observation strategies to calibrate and parameterise the key zooplankton component in ecosystem models are now currently developed from a combination of in-situ video or laser profiles (Underwater Vision profiler and Laser Optical Plankton Counter instruments) and acoustics (multi-frequency echo-sounders prospection and in-situ profiles). These are potentially powerful to determine coarse taxonomic and size composition, and to characterise the spatial and temporal patterns of large planktonic groups at mesoscale.

Dynamic marine ecosystem models have been identified as potentially powerful tools in the frame of recent EU research projects (e.g. RECLAIM, UNCOVER, BECAUSE, PROTECT) to support fisheries management related questions by providing environmental data, lower trophic level productivity and larvae survival. Mostly, this has been undertaken with non-dynamic models for testing scenarios, and the response of the ecosystem to changes in effort and spatio-temporal area closures (e.g. Dinmore et al., 2003; Hiddink et al., 2006; Zeller, 2004). However, they are limited in their immediate applicability to consideration of ecosystem effects of fishing through the lack of detailed representation of higher components of the food web (Robinson and Frid, 2003). A key bottleneck for the development of an integrative ecosystem based management strategy is formed by the lacking trophic coupling in these models and the conceptual challenges related to these (Rose et al., 2010), such as how to incorporate species specific models in functional type ecosystem and environmental models, how to address fish behaviour and how to integrate environmental changes and fish behaviour in fish stock assessments. For addressing higher trophic variability, little has been done so far to incorporate these in spatial explicit approaches and consensus on how to build a more complex system is still lacking. Recently, spatial explicit approaches have been applied to resolve recruitment dynamics for different species via employing 3-d complex IBMs (e.g. Daewel et al., 2008; Daewel et al., 2011), generally tailored for addressing particular processes such as bottom-up control or food limitation. However, their lacking life cycle closure and one-way coupling limit their usefulness for combined direct anthropogenic and climatic impacts scenario projections, such as those recently carried out as part of the EU FP7-MEECE project for various regional European Seas (www.meece.eu).

Moreover, the lack in dynamic closure on higher trophics forms an important limitation for the predictive potential of lower trophic level ecosystem models in climate impact studies. It limits generally their applicability for an integrative ecosystem based approach to marine management (Cury et al., 2005), as required in the Maritime Policy, and the evaluation of conflicting management mandates such as flourishing fisheries, substantially reduced eutrophication or rebuilding seal or seabird populations. Further limitations for an integrative ecosystem approach to management are due to challenges related to the integration of invasive alien species into 3-d ecosystem models, that may form strong competitors for valuable species, and by the lacking coupling of marine pollution models to higher trophic impact models in current state of the art models. 4.2. Scientific objectives with detailed account of their relationship to the call

topic The project will address the following scientific objectives:

• Improve current understanding and develop the observational base to calibrate primary production and regenerated production in marine ecosystem models.

• Develop the knowledge base to translate zooplankton biomass into size structured prey information and develop the size spectra approach (Daewel et al., 2008) further.

• Develop an understanding of fish behaviour in relation to environmental conditions to be used in stock assessment and spatial explicit higher trophic models.

• Overcome conceptual challenges related to trophic coupling in ecosystem modelling by 1. Development of a consistent 3d ecosystem model that includes lower trophic

levels and fish dynamics to assess environmental impacts on habitat changes and general migration strategies for fish.

2. Further develop existing species specific IBMs with special emphasis on the coupling to NPZD model. This includes bottom-up (size-based zooplankton model) as well as top-down (predation) feedback mechanisms.

• Advance the understanding of climatic induced variations in habitats and their implications for fisheries management.

• Develop the understanding of processes related to invasion of alien species and translate this understanding into theoretical generic modelling tools to be integrated and fully coupled to 3-d ecosystem models.

• Integrated state of the art understanding of bio-accumulation of pollutants (Brooks et al., 2012) into coupled NPZD-fish models for specific target species.

• Advance the knowledge base on the risk of spatial variations in exposure to pollutants by theoretical case study simulations.

• Advance the understanding of risks related to the spreading of key invasive alien species by applying the new and advanced model tools to this problem

With these scientific objectives we are addressing specifically the theme A:

“Ecosystem approach and ecosystem models for the North Atlantic Ocean” of the call by (i) closing research gaps and improve theoretical methods to calibrate primary production and internal recycling in lower trophic level models, (ii) addressing existing challenges in the coupling between lower and higher trophic levels, (iii) developing of theoretical modelling tools into fully coupled, spatially resolved coherent modelling instruments and finally, (iv) integrate pollution and invasive species into these spatially explicit models to make them capable to be applied to the concept of ecosystem based management. The project will develop models, which are able to integrate eutrophication, acidification, climate, fisheries, pollution and invasive species risks at an appropriate spatial resolution. These models will be calibrated and validated in different type of ecosystems of the Atlantic and the Mediterranean case studies within the project objectives.

The new and innovative modelling tools which we will develop, allow resolving and tracking the interactions of physical, biological, chemical and biogeochemical processes throughout the food chain and assessing the respective feedback mechanism. Moreover, these models allow for the first time to resolve their spatial and temporal variations induced by variations in environmental and climate conditions. Subsequently, we will combine new observational datasets and modelling tools and demonstrate their applicability to specifically address research and management questions related to theme A, also including research and management questions to the call topic B: “Risk assessment of invasive alien species-changes in marine biodiversity”. Here, the objectives are related to both, climate change impacts and ecosystem response to direct anthropogenic drivers from land based and offshore activities as well as fisheries. We will emphasize specifically on eutrophication impacts, climate impacts on habitat changes, climate and environmental impacts on the spreading of invasive alien species and impacts of anthropogenic pollutions on fish.

Habitats are by definition spatially explicit, and vary seasonally and throughout the species life cycle. These variations can hardly be resolved by box model approaches or observations alone, since these are too scarce to allow a correct representation of habitat

variations. Thus, we will link observations and environmental data to understand the dynamics of habitat variability, the underlying processes, define relevant indicators and construct spatially-explicit habitat maps for target species within each region. The spatio-temporal analysis of series of habitat maps will be analysed to evidence major changes in the patterns and a monitoring procedure will be developed to alert on changes in conditions of importance for biological functions, connectivity and life cycle closure. Suitable/unsuitable conditions will be evidenced for growth, reproduction and connectivity for a range of species and essential habitats mapped. Specifically, we will focus on species like anchovy that is recently expanding towards the North Sea ecosystem and the invasive ctenophore Mnemiopsis ledyi in the Mediterranean Sea, the North and Baltic Sea, including the English Channel that are supported by climate induced changes in ecosystem properties and species composition of targeted ecosystems.

Pollutions and oil spills are known to limit fish recruitment success and understanding and projecting bio-accumulation of harmful substances in fish is highly relevant for fisheries management. Here, the objective is to assess the risk of fish early life stages to be impacted by oil-spills by combining oil-spill simulations and reanalysis data with spatially-explicit IBMs and data on fish recruitment. The aim is to map potential risk areas in the northern North Sea and North Aegean Sea and to assess climate impacts on the latter using case studies and climate projections. Secondly, potential implications and bio-accumulation of harmful pollutions (e.g. mercury) will be assessed by combining the newly developed coupled LTL-HTL models with pollution simulations. Here, the inter-trophic link is specifically crucial since bio-accumulation propagates through the food-chain.

Our approach, referring to “the ecosystem based approach”, integrates ecosystems function and its dynamics. By defining environmentally dependent habitat properties for populations, assessing the risk for alien invasive species and understanding impacts and risks of pollutions and oil-spill for ecosystems we contribute to move towards a sustainable management of marine living resources and improve understanding on how human activities impact on marine ecosystems, which is specifically addressing the call topic A. The complementary development and assessment in different ecosystems of the North-Atlantic and the Mediterranean Sea provides thereby the opportunity to define common and area specific ecosystem characteristics. The improved knowledge on ecosystem change and potential stressors will be essential to provide support to the underlying management principle set out in the Marine Strategy Framework Directive (MSFD) and in the Reform of the Common Fisheries Policy (CFP). These results will be communicated through the 7 FRP EU project 308473 STAGES – Science and Technology advancing Governance of Good Environmental Status - in which IMR is a partner.

4.3. Expected results with scientific, economic, societal and/or environmental impacts The project will deliver new and improved methods and modelling tools to address and advance the marine ecosystem based management. The specific results of the project are:

• A new data base on observational based primary production estimates; • A new and expended data base of phyto- and zooplankton size spectra data; • A new database compiled from historic fish data and construction of seasonally

resolved habitat maps. • Construction of hydrodynamic and biogeochemical information systems • New and improved coupled higher- and lower trophic level models, (both IBM and

Eulerian approaches) addressing key challenges such as fish behaviour and trophic interactions.

• New spatial explicit model tools, comprising NPZD-Fish, IBM-NPZD and habitat modelling, to be applied to marine management related questions such as the risk assessment of invasive alien species, pollution risk assessment and fisheries assessment.

• Comparative single case studies for selected key species

The project will significantly advance the science on a number of currently open or yet

not addressed research questions. Firstly, by the data gathered and compiled in WP1 and their application in WP3, it will allow for a better and process oriented calibration of lower trophic level models. Current models have been calibrated basically against nutrient data by getting nutrient cycles right. This implies that different sets of parameterisations of growth-mortality-sinking speed-and mineralization rates can provide optimal correlations between modelled and observed nutrients and hence the models allow only very limited quantitative conclusions about underlying processes. This uncertainty will, by uncertain primary and secondary production rates and consequently biomasses, impact on higher trophic level modelling and limit the potential for coupling of lower and higher trophic level coupling.

WP2 will combine data sets on fish distribution with hydrodynamic and biogeochemical information and advance them into spatially and seasonally resolved habitat maps. These products will advance the understanding of fish behaviour and fish migration strategies and develop the knowledge base for spatially resolved fish modelling within the project and beyond. The coupling between higher and lower trophic levels performed in WP3 and the provided information of fish spatial-temporal distribution and behaviour integrates the trophic interactions and fish behaviour strategies into these models. Herewith, one of the key challenges in marine ecosystem modelling (Rose et al., 2010) is addressed and a new generation of ecosystem models will be developed.

These developments will have significant impact beyond the pure scientific one: They allow for application of spatially resolved marine ecosystem models to marine management and open for completely new and advanced approaches in marine management. The newly developed modelling tools will be applied within WP2 and WP6 to reduce uncertainty in fisheries management by allowing for improved prediction of fish stock spatial distributions and habitats, spatially explicit aspects needed for implementing the conservation principles of the ecosystem approach. The idea is an improved assessment of spatial distribution of the stock and its total size. The Hydrodynamic Information System (HISA) aims moreover to reconstruct behavioural pattern of species, which opens, if this will be successful, the door to short term or even seasonal forecasts of fish distributions.

Within WP4 & WP6 we will further advance methods developed in WP2 and WP3 and exemplary apply them to the assessment of expanding species like anchovy or alien invasive species like Mnemiopsis leidyi, and to assess climatic induced habitat changes and the risk of massive development of invasive species. This will form an important step forward in risk assessment and for the first time, apply an integrative spatially resolved risk assessment. This method moreover opens for later integration of climate and climate change information and opens for future predictions by e.g. using the climate information from e.g. decadal prediction products (Keenlyside and Ba, 2010) as currently provided in the frame of the 5th IPCC assessment report. Although the quality of these predictions still is open and subject to further research, first results are encouraging and the decadal predictions seem to be particularly skilful in the North Atlantic region.

In the frame of WP5 & WP6, spatially and temporally resolved information on pollution and toxic substances will be integrated by means of coupled lower and higher trophic level modelling. This opens for the first time for modelling pollution impacts to fish individuals, based on their individual history of exposure to pollutants. This is advancing a completely new scientific field and allows the development of theoretical approaches on bio-accumulation into a spatial dimension. Such a link has not yet been established and is novel. The established methods could open new ways to understand and explain observational findings of elevated pollutant concentrations and varying levels of harmful pollutants in fish (such as reported by Nilsen et al., 2010). It moreover advances current pollutant assessment models and develops the knowledge base for marine ecosystem management on the base of integrative and spatially resolved modelling methods. It therefore opens up for pollution risk assessments based on a new class of models and will contribute new and advanced knowledge to environmental policy decision making in the public sector for marine nations.

The project will perform comparative approaches for the North Atlantic and Mediterranean. It will therefore provide new insights to similarities and differences in both seas and allow for an expansion of purely regional approaches to the benefits of both scientific and societal communities in the both regions. 4.4. Added value of transnational collaboration

The project brings together experts from different countries in Europe, focusing on different parts of the ecosystem from the physical environment, to plankton, fish, invasive species and pollutants. This broad level of expertise would not have been possible outside an international collaboration. The collaboration allows to share forces and competences to raise the modelling tools to a higher level and a more widely applicability as will be demonstrated by different case studies in pollution, invasive species and fisheries management. The transnational collaboration avoids (uncontrolled) overlap in research foci, while stimulating (controlled) complementary and parallel research.

The project will facilitate exchange and transfer of modelling tools and allow for supporting the implementation of existing modelling tools to the complementary regions. The application of similar methodologies to other regions will allow for inter-comparison of habitat availability and their evolution and generate the development of new and advanced ideas. Because the developed models are highly complex, complementary modelling methodologies may also help validating results and trends over a given region and facilitate model ensemble approaches.

Similar methodologies applied in other regions will allow inter-comparison of habitat availability and their evolution. Because the developed models are highly complex, complementary modelling methodologies may also help validating results and trends over a given region. Moreover, some research questions, such as geographic shifts of invasive species are related to slow processes that can only be observed and understood at large geographic scales, for which international collaboration is mandatory (e.g. sharing observational data).

The transnational collaboration facilitates moreover the development of a unified methodological base for marine ecosystem management in Europe, with particular focus to spatially resolved integrative approaches. The transnational collaboration brings together national and regional perspectives at an early developmental stage, broadens the perspective and thereby leads to the development of more comprehensive modelling and management tools.

Close integration of the project with scientific and educational networks (e.g. the Nordic Master Programme in Ecosystems and Climate: http://www.uib.no/studyprogramme/JMAMN-MCLI and the Nordic network Climate impact on fish, fishery industry and management in the Nordic Seas: http://www.imr.no/cliffima/en ) will increase the impact of the project and advance the development of the national competences in the field. This will be addressed by integrating the new research in current educational activities such as developing Master and PhD projects.

4.5. Workplan, schedule and division of work packages between the partners, including lists of deliverables and milestones

The project workplan is structured into 6 work packages WP1-WP6. The participating partners will collaborate within all work packages. To ensure lively trans-national collaboration, each of the work packages will comprise research tasks and model developments from different key regions in the North Atlantic and/or comparative study elements with the Mediterranean region. The work packages are inter-linked, WP1 & WP2 provide input to WP3, WP2 & WP3 develop methods, which will be used in WP4-WP6. WP6 will summarise and finally assess the usefulness of the proposed new methods and define persisting research gaps and future research needs, Figure 1 visualizes the information flow between the WPs.

WP1 Lead team/scientist, participating teams/scientists

Bottom up controls in marine ecosystems

Wehde (IMR), Sourisseau (Ifremer), Marteinsdottir (UI), Gudmundsson (MRI), Barthel (UiB), Samuelsen (NERSC)

Rationale: The application of the ecosystem approach needs the improvement of the existing knowledge about the processes influencing the bottom up control marine ecosystem of the Atlantic and Mediterranean Seas. The understanding of the marine ecosystems is not possible without the knowledge of primary production, while the often used biomass (chlorophyll-a) approach is not a good measure of primary production, due to the high turnover rates. Also, to scale up to higher trophic levels, primary production is, for most fish species, to be converted to secondary production. And for correct energy transfer to different species or different life stages of species, plankton food has to be differentiated based on both size and quality. Within this work package we will focus on the improvement of the ecosystem model parameterizations by the use of innovative observational methodologies. The outcome, represented in 3D indices of temporal and spatial variation in primary and secondary production will provide an essential link into WP2 to assist in explaining distribution and abundance of pelagic and demersal fish species and will display the relevance to the assessment of eutrophication risks. Objective: To improve the ecosystem model predictions by use of improved parameterizations obtained by innovative observation methodologies. Key research targets/tasks: T1.1: Improvement of Primary Production parameterization: An improved area dependant PP parameterisation will be developed via the analysis of different observational methodologies. For the Atlantic region we will conduct Observations with the fast repetition rate fluorometry (FRRF) during a cross Atlantic survey in May/June 2013 and on the fixed transects regularly conducted by the IMR. For the Mediterranean automated measurements are conducted in the framework of POSEIDON will be completed with monthly extended in-situ samplings. Satellite images will be used for the model validation and in-situ comparison. The results will be compared with other methodologies like the oxygen anomaly method for deriving PP. To account for specific processes impacting the PP as light availability we will make use of remote sensing products of Suspended Particulate Matter (SPM) to constrain surface turbidity. Sensitivity to climatological vs. observed inter-annual variability forcing will be assessed to estimate approximation when satellite data was not available (prior to 1998) and as well available nutrient observations such as described by Dähnke et al., (2010) T1.2 Long term estimates of primary and secondary production: Archived plankton data from the PG-NAPES and the MRI surveys will be mapped into a 4D presence/absence grid for the Mid and North Atlantic regions. Selected time periods representing environmental changes critical for the case studies (WP6) will also be mapped based on remote sensing data. These will be compared to the historical data and attempts made to evaluate gaps in data representations. T1.3: Compilation and analysis of available plankton size-spectra biomass from in-situ sampling: Assembly and conduction of in-situ size-spectra biomass observations to support the habitat definition in WP2 and the size-resolved models developed/improved within WP3. A database of size-spectra biomass of zooplankton is available for the Bay of Biscay (Laser Optical Plankton Counter). New observation strategies will be tested from a combination of video (Underwater Video Profiler; Picheral et al., 2010), acoustics (multi-frequency echo sounders prospection and in-situ profiles) and LOPC, in its potential to determine the coarse taxonomic and size composition of sound scattering layers and characterise the spatial and temporal patterns of large planktonic groups at mesoscale. Monthly size-spectra biomass observations of zooplankton are conducted since 2010 at the POSEIDON E1-M3A and are expected to continue throughout the project lifetime. Mesozooplankton samples collected during early summer from 2003 to 2008 in the North Aegean Sea will be

analysed in terms of size-spectra. T1.4: Assess the potential of deriving a zooplankton typology from acoustics and derive maps of zooplankton categories and size class based on survey data: Multi-frequency echo sounders operated in the Bay of Biscay provide on one hand high resolution continuous data on zooplanktonic sound scattering layers at mesoscale. On the other hand, hydro stations and plankton net tows provide detailed information on the taxonomic composition of zooplankton at very small scale. Combination en route acoustic and punctual station data will enable determination the coarse taxonomic and size composition of sound scattering layers and characterise the spatial and temporal patterns of large planktonic groups at mesoscale. Milestones: M1.1: Observational data set available for use. M1.2: Comparison of observational methodologies conducted. M1.3: Improved model parameterisations developed. Deliverables: D1.1: Report describing the Observational data set D1.2: Manuscript on results of findings comparing the different observation methodologies D1.3: Manuscripts on application of improved parameterisation

WP2 Lead team/scientist, participating

teams/scientists Fish behaviour in response to environmental controls

Marteindottir(UI), Somarakis & Giannoulaki (HCMR), Óskarsson (MRI), Petitgas, Huret (IFREMER)

Rationale: To be able to monitor fish stocks and predict their responses to changes in the surrounding physical and biotic environment we need to improve our understanding of how fish select their habitat and how rapidly they respond to any changes that occur, on a daily, seasonal and annual bases. To do so, we propose to construct a data assimilated modelling world that integrates three-dimensional information on ocean conditions (currents, density, temperature, thermal fronts, nutrients and plankton) with probability fields that describe the existence and behavior of key fish species. In short, the idea is to use all available data on ocean physics, environment and catch of living organisms in the past to understand how target species have responded to changes in climate and fishing effort. Based on this knowledge and together with improved in situ data recordings, the intention is to be able to use this modeling world to a) provide forecasts on ocean conditions and hydrodynamics, b) create probability functions of species presence/magnitude at each location and time c) describe and forecast distribution, behavior and the general response of target stocks to changes in ocean conditions, cumulative fisheries impacts, size of competing or prey stocks. Objective: Construct a three dimensional data assimilated modelling world that describes the ocean physics and the living organisms that can be used to answer key questions on fish distribution, climate change and fisheries monitoring/management. Key research targets/tasks: T2.1: Construct and evaluate a Hydrodynamic Information System (HISA) for target areas. In the Icelandic/mid and north Atlantic regions this system will be based on CODE (www.marice.is/code) and in the Aegean Sea (Eastern Mediterranean Sea) this system will be based on an existing coupled hydrodynamic and biogeochemical model (POM-ERSEM). In the Bay of Biscay Channel area, it will be based on the coupled modelling system ECOMARS. The HISA systems will contain 4-dimensional information on ocean conditions hindcasted back to 1980 in the Atlantic region and 2003 in the Mediterranean. T2.2: Assemble archived data and information on fish behaviour: All current and past information on distribution of target species (NA: herring, capelin, cod and mackerel, anchovy, sardine, seabass; Medit: selected pelagic species) will be assembled from log books, surveys and archived data bases (ICES WG PGNAPE, NorExChange networks),

VMS products and individual markers when available. The outputs will consist of a database on target species that includes when possible information on species presence, absence, abundance, time, location, trajectories ocean and species depth as well as environmental information (temperature) and ecological information (zooplankton density) when available. T2.3: Create probability maps of species presence and integrate into HISA: The aim is to create a probability function for species presence, size and age composition and life history stage in each square mile of the targeted areas. These functions will be integrated into the HISA, thus allowing us to explain changes in distribution, abundance or migration of target species in respond to changes in the surrounding environment (see WP6 for case studies). T.2.4: Develop generic modules of fish movement that can be dynamically coupled to a physical-biogechemical model (external forcing to the individual) and a physiological model (internal state of the individual). The movement module will be based on decision rules, both deterministic and stochastic, depending on time of the year and acting across different spatio-temporal scales. Movements will be conditioned by the individual physiological state, and based on environment based habitats maps delivered by T2.3. T.2.5: Evaluate the outputs from the HISA by forecasting distribution of key species and compare it to current or past data from survey or catch statistics. T.2.6: Outputs for Case studies in WP6.The HISA will be used to create outputs of forecasted environment and stock distribution/abundance to be used in WP3, 4 and 6. Milestones: M2.1: Construction of the Hydrodynamic Information Systems and assemble archived data for the study areas. M2.2: Model evaluation, uncertainty assessment and production of habitat suitability maps for the target species. M2.3: Create outputs for WP3, WP4 and WP6 Set climate change scenarios for each study area and obtain forecasts. Deliverables: D2.1: Hindcast data fro HISA back to 1980 (North Atlantic) and 2003 (Mediterranean). D2.2: Spatially and temporally resolved probability functions for target species and areas integrated into HISA. D2.3: Hind- and forecasted environment and stock distribution/abundance to be used in WPs 3, 4 and 6.


Interactive coupling of fish and 3-d lower trophic level models

Huret (Ifremer), Daewel (UiB) Schrum (UiB), Huse (IMR), Skogen (IMR), Somarakis (HCMR)

Rationale: Ecosystem models are useful tools to understand marine ecosystem dynamics and relevant processes on the one hand, and to support environmental and fisheries management decisions on the other hand. To integrate both direct and indirect impacts of climate and anthropogenic stressors the dynamic inter-trophic (fish-prey and fish-top predator) coupling becomes indispensable, together with the integration of the spatial dynamics of species at different scales (as evidenced in WP2). In WP3 we will advance spatially explicit ecosystem modelling by incorporating these different dimensions (trophic, spatial and temporal). We will follow two different developmental strategies: Firstly, we will develop and implement a holistic formulation for fish and eventually higher trophic levels into an existing NPZD model by defining and parameterizing respective functional groups. Secondly, we will develop and implement species specific IBMs (early life stages and life cycle models). Those tools will then be used in WP 4,5,6 to address specific research (see above) and management questions. Objective: -Development and application of a consistent 3d ecosystem model that includes lower

trophic levels and fish dynamics to assess environmental impacts on habitat changes and general migration strategies for fish. -Development and application of species specific IBMs encompassing growth, reproduction and movement with special emphasis on the coupling to the NPZD model. Key research targets/tasks: T3.1: Model Development

3.1.1. Include general formulations (functional groups) for fish (and eventually higher trophic levels) into an NPZD model. Developmental region: North and Baltic Sea with subsequent application to other key areas (e.g. Norwegian Sea)). 3.1.2. Implementation and coupling of IBMs to NPZD models (key regions/key species) North and Baltic: cod, anchovy; Bay of Biscay & English Channel: small pelagics (sprat, anchovy) and seabass; Mediterranean Sea: anchovy. 3.1.3. Development of a dynamic size-based zooplankton model and coupling to a lower trophic level NPZD model. 3.1.4 Apply fish migration strategies (as defined in WP2) to the modelling approaches (IBM, NPZD-HTL model) (case studies)

T3.2: Model Validation Validation of the models at individual scale (for IBMs) based on individual life traits, and at the population scale (both IBMs and NPZD-Fish models), based on distribution and recruitment.

T3.3 Evaluation of modelling strategies Summarize the lessons learned from the model development with a special emphasis on benefits and limitation associated with the choice of a modelling approach.

Milestones: M3.1: Coupled models are constructed M3.2: Coupled models are evaluated M3.3: Exchange fish modules to WP4-6 and partners for regional inter-comparison Deliverables: D3.1: Coupled models description for each case studies. D3.2: Manuscripts proposing simulations with coupled models and validation D3.3: Generic fish modules for transfer to other WPs and between regions.


Climate driven and human induced changes in species distribution

Somarakis (HCMR), Daewel(UiB), Schrum (UiB), Huret(Ifremer), Marteinsdottir (UI), Oskarsson (MRI)

Rationale: Habitats are environmentally defined areas in which a certain species lives. Usually, habitats are determined by the physical and ecological properties required to support species survival, spawning and recruitment success. Thus, habitats are not static but change in dependence of species adaptation, developmental stage and environmental variability. The variability in species-specific habitats does not only affect the species itself but might have fundamental impact on species compositions and ecosystem dynamics. Here, a change in environmental properties might lead to the decline of indigenous species and will likewise open an ecological niche for non-indigenous (alien) invasive species that can enduringly change, or harm, the respective ecosystem. In WP4 we will utilize the newly developed methods to a) assess and understand underlying processes and environmental factors impacting spatio-temporal changes in species specific habitats. b) utilize the new modelling tools to simulate habitat connectivity pattern and adapt fish migration strategies and understand their inter-annual variability, c) simulate the variability habitats for known alien invasive species and its potential implication for the targeted ecosystem and d) assess the risk for the ecosystems to be exposed to alien invasive species. Objective:

-Understand processes impacting habitat variability emphasizing specifically climate change impacts by simulating and analysing habitats on a long term hindcast -Reconstruct and understand habitat connectivity pattern and fish migration strategies -Assess ecosystem risks for alien invasive species Key research targets/tasks: T4.1 Using spatially explicit bioenergetics IBMs or the HISA (developed in WP2) to identify climatic induced habitat changes for key target species in the different regions (anchovy, cod, mackerel). T4.2 Risk assessment for the ctenophore invasive species (Mnemiopsis leydi) in the Mediterranean, the North Sea and the Baltic Sea. T4.2.1 Develop a Mnemiopsis leidyi module to be implemented in the relevant models for North Sea, Baltic Sea and Mediterranean Sea T4.2.2 Hindcast potential Mnemiopsis leidyi distributions in key regions to understand environmental impacts, the role of climate change and to assess the ecosystem risk for alien invasive species. Milestones: M4.1: Mnemiopsis leidyi modules developed to implement in ecosystem models in key regions M4.2: Hindcast of potential Mnemiopsis leidyi distributions in key regions. M4.3: Hindcast of habitat changes for key species. Deliverables: D4.1: Manuscripts on Mnemiopsis leidyi modules. D4.2: Assessing the risk of Mnemiopsis leidyi as derived from model simulations. D4.3: Historic assessment of habitat changes for key species (cod, anchovy) from model simulations.

WP5 Lead team/scientist, participating

teams/scientists Pollution and climate stress on fish Samuelsen (NERSC), Schrum (UiB),

Skogen (IMR), George Triantafyllou (HCMR)

Rationale: A major risk of pollution is connected to oil drilling and transport of crude oil. As technology progresses and the need for energy rises, this exploitation will move into new areas. Other pollutants are released through river, directly from land, from ship traffic and offshore activities. Additionally pollutants may enter through the atmosphere, advection from adjacent ocean regions and released from sea ice. Most commercial fish species spawn in coastal areas where the pollutants are often most concentrated, these are therefore more exposed to pollution. Previous studies have shown that larvae are especially vulnerable to pollutants and specifically to oil spills, since they may mistake the oil droplets for food particles. Pollutants have different effect, for example hormone-imitating substances such as pesticides may influence sexual maturation, or they accumulate with every trophic level and may cause birth defects and nerve damage to top predators including humans, dolphins and sea birds (as e.g. mercury). In this work package we will employ the ecosystem modelling tools for four case studies involving environmental stressor: (1) Assessing the risk of an oil spill impacting fish recruitment and (2) bio-accumulation of mercury in cod (3) Effect of an hypothetical oil spill on the anchovy recruitment in the Kavalan Gulf in the Aegean Sea (4) A hypothetical climate scenario to investigate the fish population in relation, to changing climate, river input in relation to the oil spill scenarios. Data and Models: - Climatological probability maps for oil spill trajectories in the northern North Sea. - An off-line IBM for fish larvae and a contaminant module implemented in the NORWECOM.E2E framework. - A model for the spread and bio-accumulation of mercury in the ECOSMO framework using

a coupled NPZD- IBM-cod model. - An IBM for anchovy, as part of an end-to-end model representing the northern Aegean ecosystem. The model describes the full life cycle, growth and migration pattern and spatiotemporal abundance of European anchovy (Engraulis encrasicolus). - Future climate scenario wind and river forcing for the N. Aegan Sea. Objective: Study the effect of key pollutants on the recruitment and development of fish by using and advancing the tools developed in WP2 and WP3. Key research targets/tasks: T5.1: Utilize a climatology of oil spill risk in the Northern part of the North Sea together with an individual based model for larvae drift. Combining these two products will enable us to explore the risk of a spill impacting the fish recruitment. The methods developed will be general and can applied to new regions if or when oil-exploration moves into new territories T5.2: Investigate risks of overlap between the oil spill and larvae distribution under different weather pattern. T5.3: Linking an earlier developed model for the fate and transport of mercury in the marine environment and lower trophic level to the individual based model for cod. T5.4: Investigate possible oil trajectories and significant concentrations of oil in the water column of the N. Aegean area, and map these vs. spawning and recruitment areas. T5.5: Investigate the impact of an oil spill to the lower trophic groups and their effect to the eggs/larvae/fish populations (in the N. Aegean) T5.6: Study of the impact of climatic forcing and changing river nutrient inputs on the N. Aegean productivity and the fish populations in relation to the oil spill scenarios. Milestones: M5.1: Risk maps for oil-spill and high mercury concentrations integrated with the IBM modelling system (North Sea/Baltic Sea). M5.2: Oil spill model of the N Aegan Sea integrated with the IBM for anchovy M5.3: Integrate climate scenarios, eutrophication scenarios and oil spill risk assessment. Deliverables: D5.1: Manuscripts on the effect of oil spills and mercury on the fish recruitment. D5.2: Manuscript on the impact of an oil spill to the LTL groups and ichthyoplankton. D5.3: Manuscript on climatic and eutrophication effects on the N. Aegean productivity and the fish populations in relation to the oil spill scenarios.

WP6

Lead team/scientist, participating teams/scientists

New management tools, case study applications

Schrum (UiB ), Petitgas (IFREMER), all

Rationale: 4-d marine model systems provide environmental and ecosystem information in great detail in space and time and produce thereby large data bases. A sufficient large enough spatial and temporal resolution is essential to resolve the spatially incoherent interaction between the physical-chemical, bio-geochemical and biological compartments and to avoid aliasing due to insufficient observational sampling. However, these TerraBytes of data are unsuitable for management purposes and to gain knowledge from these, the information inherent in these data has to be condensed and extracted. On the other hand the Marine Strategy Framework Directive (MSFD) sets out a high level framework to describe the good environmental status of marine regions. These indicators are quite general and it is not obvious how to extract information from high resolution models to serve the MSFD. Here we aim to advance the tools and data bases developed in WP1-WP5 into management relevant indicators. To demonstrate capacity of a new method/tool benchmarking is essential, either by scenario, hindcast or uncertainty scenario simulations and the predictive capacity of the selected indicator need to be assessed. Finally, we will ensure the communication of indicators and case study results through the networking activities of the STAGES project, which will have the possibility to facilitate MSFD-related research to relevant stakeholders. Here we will demonstrate the capabilities of the new tools in a number of 6 case studies:

1. Assessment of eutrophication risks vs fish productivity under different climate scenarios. 2. Develop stock size indicators from HISA for different climate scenarios. 3. Use a Life-cycle IBM to derive a recruitment index for Anchovy in the North Sea and the Mediterranean. Elaborate the proposal for a spatial and ecosystem management scheme in the Bay of Biscay with respect to the applicability to North Sea and the Mediterranean. 4. Develop a risk indicator for Mnemiopsis leidyi in the North Sea, Baltic Sea and Mediterranean 5. Develop pollution risk indicators for different fish species and key pollutants. 6. Forecast distribution of capelin and Mackerel in Mid-Atlantic waters by HISA, compare to survey results. Objective:

• Development of indicators for target species in response to environmental and human induced impacts including climate change.

• Development of indicators to forecast fish behaviour for target species. • Assessment of target species in case study areas. • Solutions and management advice for target species in case study areas.

Key research targets/tasks: T6.1: Creation of indicator time series from Eulerian ecosystem models for different regional case studies. T6.2: Creation of indicator time series from Lagrangian IBM models for specific case studies and risk and management assessments. T6.3: Assessment of predictive capacities for the state of the marine environment. T6.4: Final project conclusion on the management capacity for developed methods, transfer of indicators to stakeholder via the different channels including the project STAGES. Milestones: M6.1: Environmental indicator time series extracted for the different regions. M6.2: Indicator time series from IBM and habitat models for the different regions. M6.3: Assessment of predictive capacities for the developed methods and marine indicators. M6.4: Probability distribution maps of capelin and mackerel in Mid Atlantic waters Deliverables: D6.1: Manuscripts on environmental indicators and their predictive capacity in key regions. D6.2: Manuscripts on IBMs and habitat model based indicators. D6.3: Report on assessment of predictive capacities of models, methods and indicators. D6.4: Forecasted distributions of capelin and mackerel in Mid Atlantic waters during three periods of variable behaviour together with comparison to annual survey results.

Work packages (WP) No. Title Leader Description

1 Bottom up controls in marine ecosystems

IMR (Wehde) Assembly and compilation of new data sets

2 Fish behaviour in response to environmental controls

UI (Marteindottir)

Development of new methods to resolve spatial

3 Interactive coupling of fish and 3-d lower trophic level models

IFREMER (Huret)

Develop coupling methods for higher- and lower trophic level couplings in 3-d models.

4 Climate driven and human induced changes in species distribution

HCMR (Somarakis)

Provide case study applications to assess the risks of introduced alien species and climate induced habitat changes

5 Pollution and climate stress on fish

NERSC (Samuelsen)

Provide case study applications to combine pollution data and fish exposure to pollution to assess pollution risks

6 New management tools, case study applications

UiB (Schrum)/IFREMER (Petitgas)

Provide a tool box of new methods and derived indicators

Deliverables WP no. No. Title Due month

1 D1.1 Report on Observational data set

M18/ M36

1 D1.2 Manuscript on results of findings comparing the different observation methodologies

M18

1 D1.3 Manuscripts on application of improved parameterisation

M24/ M36

2 D2.1 Hindcast outputs of HISA M20

2 D2.2 Probability functions f. target species M24

2 D2.3 Stock distribution hindcast/forecast M24

3 D3.1 Coupled models description for each case studies

M26

3 D3.2 Manuscripts on coupled models and validation

M28

3 D3.3 Generic fish modules for transfer to WP4&5

M24

4 D4.1 Mnemiopsis leidyi. modules implemented.

M18

4 D4.2 Mnemiopsis leidyi. risk assessment, manuscript

M26

4 D4.3 Modelled habitat changes for key species, manus.

M30

5 D5.1 Pollution effects on fish recruitment, manus.

M18

5 D5.2 Pollution effects on ichthyoplankton, manus,

M24

5 D5.3 Climatic & eutrophication impacts vs. oil spill scenarios in the N. Aegean, manus.

M30

6 D6.1 Manuscripts on environmental indicators M24

6 D6.2 Manuscripts on higher trophic indicators M34

6 D6.3 Report on assessment of predictive capacities

M36

6 D6.4 Forecasted distributions of capelin and mackerel in Mid Atlantic waters

M36

Milestones WP no. No. Title Due month

1 M1.1 Observational data set available for use M12/M36

1 M1.2 Comparison of observational methodologies conducted

M18

1 M1.3 Improved model parameterisations developed

M24

2 M2.1 Construction of the HIS and data assembly

M18

2 M2.2 Model evaluation &uncertainty assessment

M24

2 M2.3 Create output information f. WP3, WP4 and WP6

M24

3 M3.1 Coupled models are constructed M24

3 M3.2 Coupled models are evaluated M26

3 M3.3 Exchange fish modules to WP4-6 M24

4 M4.1 Mnemiopsis leidyi modules developed M18

4 M4.2 Hindcast of potential Mnemiopsis leidyi distributions

M24

4 M4.3 Hindcast of habitat changes for key species.

M30

5 M5.1 Risk maps for oil-spill and mercury impacts

M12

5 M5.2 Oil spill model of the N Aegan Sea integrated with the IBM for anchovy

M18

5 M5.3 Future climate modelling scenarios available.

M24

6 M6.1 Environmental indicator time series M24

6 M6.2 Indicator time series for IBM and habitat models

M33

6 M6.3 Assessment of predictive capacities M36

6 M6.4 Probability distribution maps of capelin and mackerel in Mid Atlantic waters

M30

Estimated person months per work package and task WP 1 WP 2 WP 3 WP 4 WP 5 WP 6 Total Partner 1: UiB C. Schrum, U.Daewel, K. Barthel

3 2 10 5 5 5 30

Partner 2: IMR H. Wehde, M. Skogen, G. Huse Ø. Berg

6.5 3 5 3 17.5

Partner 3: NERSC A. Samuelsen, L. Bertino

7 3 16 4 30

Partner 4: IFREMER M. Huret, P. Petitgas, H. De Pontual, M. Sourisseau, F. Dumas

31 24 24 12 15 106

Partner 5: UI GM, GÓ, KG, KL, BM, PW, two new Post Docs

30 34 21 85

Partner 6 : HCMR G. Triantafyllou, G. Petihakis S. Somarakis, M. Giannoulaki, A. Machias

20.8 21.1 21.4 22 19.6 19.9 124.8

Total 98.3 84.1 58.4 39 45.6 67.9 393.3

4.6. Exploitation plan of future project results

The IMR, the IFREMER and HCMR have the national responsibilities to collect management relevant data including regular surveys and model simulations. The new tools and data sets, will within the project duration be included into management relevant tools, such as the NORWECOM E2E model system of the IMR, the ECO-MARS3D and the PREVIMER, the oceanography operational system of IFREMER and the POSEIDON system of HCMR. This will ensure that the methods developed will be explored and used further in national future management context, such as the Fisheries Assessments or national assessments according to the Marine Strategy Framework Directive.

IMR and NERSC are part of the Arctic Marine Forecasting Centre in MyOcean II and the participation in this project opens up the possibility for adding pollution modules to the operational forecasting system, these could be used both as regular monitoring tool or in case of special pollution events. Larvae drift is already planned to be a part of the forecasting system, but more sophisticated higher-trophic level models, as developed within this project, can also be employed as the system develops.

Also, the 2 participating universities UI and UiB are involved in national marine assessments, UI takes part in the fisheries assessment and UiB is involved in pollution assessment of the Norwegian Climate and Pollution Agency (KLIF), together with IMR. UI and UiB run together a Joint Nordic Master Programme in Marine Ecosystems and Climate (together with the Universities of Faroe Islands and Aarhus University), through this programme it is moreover ensured that the new developments are further explored on an academic level and that they find their way into education.

The modelled time series will generally be made public and data will be distributed using existing infrastructure at the institutes. Metadata and links will be conveyed using the ICES WGOOFE website. Moreover, data distribution is planned over existing data portals of the EuroGOOS Regional Alliances to ensure sustainability of the data provision. 4.7. Dissemination plan of results to practitioners and policy (seminars, publications, etc)

The project participants have already established strong links to ICES-ACOM (Advisory Committee) relevant working groups. These links will be maintained and the ICES working group structure will be used continuously during the duration of the project and project participants will contribute to frame it. During the course of the project we will ensure active participation in all relevant working groups and ensure presentations from the project at their meetings.

All project participants are currently active contributors to ICES, as national delegates or work group (chair invited) members (a.o. WGNIOSE; WGOOFE and WGIPEM) and frequent workshop participants. Through their active and supportive participation in work groups and workshops, it is ensured that project results, model tools and data sets created are further disseminated and explored to the European marine community and disseminated to the ICES advisory committee (ACOM). Indicator products from WP6 to help fisheries management will be distributed via WGINOSE (Working Group on Integrated Assessments of the North Sea), WGOOFE (Working group Operational Oceanographic Products for Fisheries and the Environment) and WGIPEM (Working Group on Integrative, Physical–biological, and Ecosystem Modelling). ICES WGOOFE (http://www.wgoofe.org/) supports the distribution of operational model and observational based products for fisheries scientists and marine management purpose (Berx et al., 2011). This channel has been used before by project partners to distribute their model data, hydrodynamic indicators and observational based data products.

For the North Sea system, WGINOSE (Working Group on Integrated Assessments of the North Sea) is of relevance too and the project coordinator and project partners are

regular contributors here. The working group “WGINOSE aims at conducting and further developing Integrated Ecosystem Assessments for the North Sea, as a step towards implementing the ecosystem approach”. The final goal is the development of the scientific basis and the tools for implementing a full IEA (Integrated ecosystem approach). The group meets regularly and exchanges management relevant model and observational data and particularly forces the development and distribution of indicator time series. Similarly, for the Bay of Biscay – IBIROOS areas, WGEAWES (Working Group on Ecosystem assessment of western European shelves) is of relevance to the project. It aims at developing an integrated assessment of the western European waters. Project partner Ifremer co-chairs this group and will enhance application of SEAMAN developments in that eco-region.

Modelling tools developed will be integrated within larger platforms including fisheries behaviour and economics (ex. ISIS-FISH, Mahévas and Pelletier, 2004). At the national level, dissemination will be assessed towards fisheries organizations, in particular in France to those in charge of designing a management plan for seabass, which is now also assessed at the European level within WGNEW (Working Group on NEW species). The developed tools and data will be useful in the framework of the national strategy for the creation and management of marine protected areas. Moreover these products will be further explored via WGIPEM. This ICES working group aims at bringing together experts from integrative, physical-biological and ecosystem modelling.

The participants have moreover established links to HELCOM and OSPAR and the project participants will actively participate and convey their methods and case study assessments to OSPAR and HELCOM.

Finally, the present project SEAMAN will use the project EU-FP7 project STAGES – Science and technology Advancing Governance of Good Environmental Status to facilitate knowledge and results to relevant stakeholders at national and European level. It is anticipated that SEAMAN will contribute significantly to the knowledge base and the science-policy interface generated by STAGES and thus use the channels explored by STAGES to disseminate the project results and developments. 4.8 Ethics, environment, recruitment, gender balance, gender perspective

There are no specific ethical issues related to the project. Results of SEAMAN will lead to a better understanding of marine environmental threats and thus increase the knowledge base for improving environmental conditions.

SEAMAN will, by female leadership and good gender balance in the research team and leader structure, positively contribute to make female scientist more visible in the research community and to overcome underrepresentation of women in natural science. We will adhere to this approach and will take specific actions to recruit excellent women researchers for the postdoc position by advertising in dedicated women Science networks (such as the Nordic Woman in Physics Network: www.norwip.org, and the international Earth Science Women Network: www.sage.wisc.edu/eswn). References Alcamo, J., M. Flörke, and M. Märker 2007. Future long-term changes in global water

resources driven by socio-economic and climatic changes. Hydrological Sciences Journal, 52(2): 247-275.

Arhonditsis, G. B., and M. T. Brett. 2004. Evaluation of the current state of mechanistic aquatic biogeochemical modeling. Marine Ecology Progress Series, 271: 13-26.

Bertino, L., and K. A. Lisæter 2008. The TOPAZ monitoring and prediction system for the Atlantic and Arctic Oceans. Journal of Operational Oceanography, 1: 15–18.

Bertino L., G. Evensen, and H. Wackernagel 2003. Sequential Data Assimilation Techniques in Oceanography. Internatational Statistical Review, 71(2): 223-241.

Berx, B., M. Dickey-Collas, M. D. Skogen, Y. H. De Roeck, H. Klein, R. Barciela, R. M. Forster, E. Dombrowsky, M. Huret, M. R. Payne, Y. Sagarminaga, and C. Schrum 2011.

Does operational oceanography address the needs of fisheries and applied environmental scientists? Oceanography, 24(1): 166-171.

Blackford, J., and F. Gilbert 2007. pH variability and CO2 induced acidification in the North Sea. Journal of Marine Systems, 64(1-4): 229-241.

Brooks, M. L., E. Fleishman, L. R. Brown, P.W. Lehman, I. Werner, N. Scholz, C. Mitchelmore, J.R. Lovvorn, M. L. Johnson, D. Schlenk, S. van Drunick, J. I. Drever, D. M. Stoms, A. E. Parker, R. Dugdale 2012. Life histories, salinity zones, and sublethal contributions of contaminants to pelagic fish declines illustrated with a case study of san francisco estuary, california, USA. Estuaries and Coasts, 35(2): 603-621.

Christensen, A., U. Daewel, H. Jensen, H. Mosegaard, M. St. John, and Schrum, C. 2007. Hydrodynamic backtracking of fish larvae by individual-based modelling. Marine Ecology Progress Series, 347(2006), 221-232.

Cury, P., C. Mullon, S. Garcia, and L. Shannon. 2005. Viability theory for an ecosystem approach to fisheries. ICES Journal of Marine Science 62(3): 577-584.

Daewel, U., M. A. Peck, and C. Schrum 2011. Life history strategy and impacts of environmental variability on early life stages of two marine fishes in the North Sea: an individual-based modelling approach. Canadian Journal of Fisheries and Aquatic Science, 68: 426-443.

Daewel, U., M. A. Peck, C. Schrum, and M. St John. 2008. How to best include the effects of climate-driven forcing on prey fields in larval fish individual-based models. Journal Plankton Research, 30(1): 1-5.

Dähnke, K., K. Emeis, A. Johannsen, and B. Nagel 2010. Stable isotope composition and turnover of nitrate in the German Bight. Marine Ecology Progress Series, 408: 7-18.

Dinmore, T. A., D. E. Duplisea, B. D. Rackham, D. L. Maxwell, and S. Jennings 2003. Impact of a large-scale area closure on patterns of fishing disturbance and the consequences for benthic communities. Science, 3139: 371-380.

Drinkwater, K.F. 2009. Comparison of the response of Atlantic cod (Gadus morhua) in the high-latitude regions of the North Atlantic during the warm periods of the 1920s–1960s and the 1990s–2000s. Deep-Sea Research II, 56: 2087-2096.

Friedland, K. D., and C. D. Todd 2012. Changes in northwest atlantic arctic and subarctic conditions and the growth response of atlantic salmon. Polar Biology, 35(4): 593-609.

Green, N.W., Heldal H.E., Måge A., W. Aas, T. Gafvert, C.Schrum, S.Boitsov, K.Breivik. M. Iosjpe, E. Yakushev, M. Skogen. T. Høgåsen, S. Eckhard, A.B.Christiansen, K.L.Daae, D.Durand, E.Debolskaya, 2011. Tilførselsprogrammet 2010. Overvåking av tilførsler og miljøtilstand i Nordsjøen. Klima- og forurensningsdirektoratet (Klif), Rapport TA 2810/2011. NIVA rapport 6187-2011. ISBN 978-82-577-577-5992-3 IPCS 1992

Hansen, C., and A. Samuelsen 2009. Influence of horizontal model grid resolution on the simulated primary production in an embedded primary production model in the Norwegian Sea. Journal of Marine Systems, 75: 236-244.

Hansen, C., E. Kvaleberg, and A. Samuelsen 2010. Anticyclonic eddies in the Norwegian Sea; their generation, evolution and impact on primary production. Deep Sea Research Part I: Oceanographic Research Papers, 57, 1079-1091.

Hiddink, J. G., T. Hutton, S. Jennings, and M. J. Kaiser 2006. Predicting the effects of area closures and fishing effort restrictions on the production, biomass, and species richness of benthic invertebrate communities. ICES Journal of Marine Science, 63(5): 822-830.

Huret M., M. Sourisseau, P. Petitgas, C. Struski, F. Léger, and P. Lazure 2012. A multi-decadal hindcast of a physical-biogeochemical model and derived oceanographic indices in the Bay of Biscay. Journal of Marine Systems. In Press

Huret, M., P. Petitgas, and M. Woillez 2010. Dispersal kernels and their drivers captured with a hydrodynamic model and spatial indices: A case study on anchovy (Engraulis encrasicolus) early life stages in the Bay of Biscay. Progress in Oceanography, 87: 6-17.

Javidpour, J. 2006. First record of Mnemiopsis leidyi A. Agassiz 1865 in the Baltic Sea. Aquatic Invasions, 1(4): 299-302.

Keenlyside, N. S., and Jin Ba 2010. Prospects for decadal climate prediction. Wiley Interdisciplinary Reviews Climate Change, 1(5): 627-635.

Lazure P., and F. Dumas 2008. An external-internal mode coupling for a 3D hydrodynamical model for applications at regional scale (MARS). Advances in Water Resources. 31: 233-250.

Lejeusne, C., P. Chevaldonne, C. Pergent-martini, C.F. Boudouresque, and T. Pérez 2010. Climate change effects on a miniature ocean: the highly diverse, highly impacted Mediterranean Sea. Trends in Ecology and Evolution, 25(4): 250-260.

Mahévas, S., and D. Pelletier 2004. ISIS-Fish, a generic and spatially explicit simulation tool for evaluating the impact of management measures on fisheries dynamics. Ecological Modelling,171(1-2): 65-84.

Meier, H. E. M., R. Hordoir, H. C. Andersson, C. Dietrich, K. Eilola, B. G. Gustafsson, A. Hoeglund, and S. Schimanke, 2012. Modeling the combined impact of changing climate and changing nutrient loads to the Baltic Sea environment in an ensemble of transient simulations for 1961-2099. Climate Dynamics, DOI: 10.1007/s00382-012-1339-7.

Nilsen, T. O., L. O. E. Ebbesson, O. G. Kverneland, F. Kroglund, B. Finstad, and S. O Stefansson 2010. Effects of acidic water and aluminum exposure on gill Na(+), K(+)-ATPase alpha-subunit isoforms, enzyme activity, physiology and return rates in Atlantic salmon (Salmo salar L.). Aquatic toxicology Amsterdam Netherlands, 97(3): 250-259.

Petitgas, P., J. Alheit, M.A. Peck, K. Raab, X. Irigoien, M. Huret, J. Van Der Kooij, T. Pohlmann, C. Wagner, I. Zarraonaindia, and M. Dickey-Collas 2012. Anchovy population expansion in the North Sea. Marine Ecology Progress Series, 444: 1-13.

Petitgas, P., and J.-C. Poulard 2009. A multivariate indicator to monitor changes in spatial patterns of age-structured fish populations. Aquatic Living Resources, 22(2): 165-171.

Picheral, M., Guidi L., Stemmann L., Karl D.M., Iddaoud G. and Gorsky G. 2010. The Underwater Vision profiler 5: An advanced instrument for high spatial resolution studies of particle size spectra and zooplankton. Limnol. Oceanogr. Methods 8, 462-473.

Radach, G., and A. Moll 2006. Review of three-dimensional ecological modelling related to the North Sea shelf system. Part II: model validation and data needs. Oceanography and Marine Biology: An annual review, 44: 1-60.

Rijnsdorp, A. D., M.A. Peck, G.H. Engelhard, C. Mo, and J.K. Pinnegar 2009. Resolving the effect of climate change on fish populations. ICES Journal of Marine Science. 66(7): 1570-1583.

Robinson, L.A., and C. L. J. Frid 2003. Dynamic ecosystem models and the evaluation of ecosystem effects of fishing: can we make meaningful predictions? Aquatic Conservation Marine and Freshwater Ecosystems,13(1): 5-20.

Rochette, S., and M. Huret 2011. A biophysical model to analyse the inlfuence of larval supply on fish recruitment: Application to a coastal and estuarine nursery-dependent flatfish population. Flatfish Symposium 2011, 5-10 Novembre 2011, IJmuiden, NL

Rose K.A , J. I. Allen, Y. Artioli, M. Barange, J. Blackford, F. Carlotti, R. Cropp, U. Daewel, K. Edwards, K. Flynn, S. L. Hill, R. HilleRisLambers, G. Huse, S. Mackinson, B. Megrey, A. Moll, R. R, B. Salihoglu, C. Schrum, L. Shannon, Y.-J. Shin, S. Lan Smith, C. Smith, C. Solidoro, M. St. John, M. Zhou, 2010. End-To-End Models for the Analysis of Marine Ecosystems: Challenges, Issues, and Next Steps. Marine and Coastal Fisheries: Dynamics, Management, and Ecosystem Science, 2: 115-130.

Samuelsen, A., G. Huse, and C. Hansen 2009. Shelf recruitment of Calanus finmarchicus off the west coast of Norway: role of physical processes and timing of diapause termination. Marine Ecology Progress Series, 386: 163–180.

Samuelsen, A., S. S. Hjøllo, J. A. Johannessen, and M. Patel 2012. Particle aggregation in anticyclonic eddies and implications for distribution of biomass. submitted to Ocean Science.

Schrum, C., I. Alekseeva, and M. St. John 2006. Development of a coupled physical – biological ecosystem model ECOSMO Part I  : Model description and validation for the North Sea. Journal of Marine Systems, 61: 79-99.

Woillez, M., J. Rivoirard, and P. Petitgas 2009. Notes on Survey-Based Spatial Indicators for Monitoring Fish Populations. Aquatic Living Resources, 22:155-164

Zeller, D. 2004. Modelling spatial closures and fishing effort restrictions in the Faroe Islands marine ecosystem. Ecological Modelling, 172(2-4): 403-420.

5. Description of project management SEAMAN is organised around 5 topical work packages and one synthesis WP, each

lead by 1- 2 key scientists and contributors from different project partners. Annual project meetings and annual work package meetings will ensure close cooperation and exchange of modules and data among the partner and WPs. The work package meetings will be arranged together with the annual project meetings, in conjunction of ICES working groups or the ICES annual science conference to minimize travel time.

The project is lead by a steering group consisting of the WP leader group and the project coordinator. The steering group will ensure a smooth performance of the project and in time passing of information and tool development between the WPs. The information flow between the WPs is sketched in Figure 1.

The project will generate observational data, model data and data products. The data are handled by the partner institutions. Observational data will be transferred to national and international data centres like the Norwegian Marine Data Centre (NMD) and ICES data centre. Model data will be archived using local and national resources and infrastructures. Data products will be made freely available to the research community via ICES WGOOFE and the local partner institutions. User friendly and easy access will be ensured and methodological information will be provided. The project will follow an open data policy and provide data and model tools for open access to the community.

Figure 1: Communication between the WPs

WP2 WP1

WP3

WP4 WP5

WP6

Observations & Methods

Case studies

Indicator definition

6. Financial plan of the project

Total Costs per partner and requested funding budget (in EURO) Partner A - Total

costs/expenses1

B - Requested funding budget

C- Own funding Funding rate (B/A)

Partner 1 322 000 262 000 60 000 81 %

Partner 2 394 250 244 000 150 250 62 %

Partner 3 401 000 244 000 157 000 61 %

Partner 4 642 540 280 000 362 540 44 %

Partner 5 240 543 204 461 36 081 85%

Partner 6 399 849 399 849 0 100%

Total 2 400 182 1 634 310 765 871 68 % 1 Total costs/expenses comprise costs or expenses for personnel, travelling, consumables, equipment, overhead (if applicable) etc.; the cost calculation has to be based for each partner on its national/regional funding rules; for questions, please contact your national/regional funding organisation

Breakdown and justification of costs per partner (in Euro)

Partner Eligible costs (in Euro) Justification

Partner 1

Personnel 292 625 Researcher Ute Daewel, 24 months &6 months own contribution

Travel 24 000 3 travels to project meetings & 3 travels to conferences per year

Consumables

Equipment

Subcontracting

Other 5375 Manuscript submission and other related costs

Overheads

Partner 2

Personnel 318850 17,5 person months researcher

Travel 25400 6 meetings (partners + conferences) 1 Research Cruise

Consumables

Equipment

Subcontracting

Other 50000 Ship time Research vessel, own contribution

Overheads

Partner 3 Personnel 227 000 18 person months researcher Annette

Samuelsen and 12 person months researcher Laurent Bertino

Travel 18 000 1 meeting with partners + 1 conference pr year

Consumables

Equipment

Subcontracting

Other

Overheads 156 000

Partner 4 Personnel 202 740 Key personnel part time & part funding of 2 postdoc + 1 PhD.

Travel 30 000 5 travel missions per year for project meetings, conference and Working groups (2000€ each)

Consumables 4000

Equipment 80 000 1 UVP (Underwater Vision profiler) , and 3 Laptops

Subcontracting

Other 4000 Manuscript submission and other expenses

Overheads 321 800

Partner 5 Personnel 203 506 Key personnel part time and 2 years new Post Doc1, three years new Post Doc 2

Travel 27 777 To annual meetings and conferences

Consumables 5 555

Equipment 3 703 Two laptops

Subcontracting

Other

Overheads na

Partner 6 Personnel 299849 HCMR personnel, 2 postdocs (36+2.4 months), 1 MSc (24 months)

Travel 50000 For 3 years, 2 persons in five international

travels about 1600 € each, 3 national travels of 500 € each.

Consumables 4000

Equipment 40000 Environmental Sensors

Subcontracting

Other 6000 Expenses for phyloxenia and audit

Overheads 0

7. Sharing of work and cooperation with external organisations contributing to the project (if applicable)

The project will receive support by the Nordic network: Climate impact on fish, fishery industry and management in the Nordic Seas (http://www.imr.no/cliffima/en). The network will provide travel funds to the project. This will contribute to a wider distribution of the project ideas and results in the scientific community.

SEAMAN will use the project EU-FP7 project STAGES – Science and technology Advancing Governance of Good Environmental Status to disseminate knowledge and developments and to communicate with end users. STAGES will identify and synthesize relevant existing EU research results and make them available in a usable format for decision and policy making authorities. STAGES will also develop innovative solutions to achieve an effective collaboration between the broad range of stakeholders necessary to support MSDF implementation, including policy and governance, science, industry and civil society. Moreover, the role and input of MSFD stakeholders will be central to the activities of the project and to the proposals for a science policy interface which will be delivered by STAGES. The communication with STAGES is ensured via the project partner IMR (Øivind Bergh is leading IMRs partner contribution in STAGES).

SEAMAN model developments will actively contribute to the ICES working Groups on Integrated Physical-biological and Ecosystem Modelling (WGIPEM) and Operational Oceanography for Fisheries and Environment (WGOOFE) by developing and showcasing its new tools. The application of SEAMAN modelling tools in regional case studies will contribute to regional ecosystem integrated assessment working groups WGINOSE (North Sea) and WGEAWES (IBIROOS area). Project Partners are already members of these groups. SEAMAN will also develop pro-bono ecosystem advice based on scenarios which, via the above mentioned working groups, will feed into the advisory services of ICES and which will be useful for standardising methodology in relation to MSFD implementation.

CURRICULUM VITAE

Partner I. University of Bergen CORINNA SCHRUM, Professor, Dr. rer. nat. Date and place of birth: 27 June 1962, Germany Present position: Professor, Geophysical Institute, University of Bergen Personal homepage: http://www.uib.no/People/csc064/ Education • Diploma in Oceanography, University of Hamburg, 1990. Thesis: ‘Modellierung barokliner

Instabilitäten an mesoskaligen Fronten.’ • Dr. rer. nat., Department of Geosciences, University of Hamburg, 1994. Thesis: ‘Numerische

Modellierung von thermodynamischen Prozessen in der Deutschen Bucht.’

Research fields Schrum´s primary research in the past 20 yrs was on the functioning of regional marine ecosystems with particular focus to shelf seas and the land-ocean transition zone. Modeling of coupled systems reacting on similar times scales requires imperatively the use of coupled models, available as standard tools only partially. A significant part of Schrum´s research efforts therefore went into the development of such coupled models. Among those were Eulerian NPZD models, coupled biogeochemical-carbon chemistry and ice-ocean pollution models, all those coupled to hydrodynamic-sea ice models. On a species level Schrum supervised the development of several egg and larvae fish IBMs, both statistical growth models and mechanistic larvae feeding and growth models, which were coupled via Lagrangeian particle tracking models to hydrodynamic and NPZD models. Both, a passive egg and larvae transport model and a physical induced organism transport model in marine flows belongs to her achievements. Besides she also contributed to the physical model developments by the development of the first regional coupled atmosphere-ice-ocean model and the first groundwater-sea water model. Schrum guided the compilation of a number of modeling databases and observational based gridded products, which have found their way into a wider research community and are distributed to the users via the ICES working group WGOOFE (www.wgoofe.org). Moreover her developments were utilized in the Norwegian Pollution Assessment Program (Tilførsel). Schrum has co-authored 56 reviewed research papers (peer reviewed international journals, book contributions, thesis and reports; h-index16, hi10-index 23 (google scholar citation database), and h-index 13 (web of knowledge)) and a variety of published reports and project reports. A considerable number of these were truly interdisciplinary and cross-disciplinary research contributions.

Employment and working history Since 2006 Professor, Geophysical Institute, University of Bergen Since 2012 Senior Scientist II, Nansen Environmental and Remote Sensing Centre (NERSC) 2008-2010 Researcher II, Norwegian Water Research Institute (NIVA) 2004-2006 Senior Scientist, Danish Institute of Fisheries Research, Denmark 1997-2004 Assistant Professor (German Wissenschaftliche Assistentin) Institute of

Oceanography, University of Hamburg. 1990-1997 Scientist, Institute of Oceanography, U Hamburg 1989-1990 Research Assoc., Bundesamt für Seeschifffahrt und Hydrographie, Hamburg Pregnancy and maternal leaves: 1984-86; 1988-89; 1991-93; 2000; 2001-02; 2002; 2004

Research projects • Principal investigator in 7 national German (DFG, BMBF) and Norwegian (Research council

of Norway, Norwegian Climate and Pollution Authority) projects • Principal investigator in 6 EU (FP6 and FP7, ESA, ERAnet) research projects • Coordinator for 2 international research projects (EU-INTAS,NATO- SfP) • Coordinator for Joint Nordic Master in Marine Ecosystem and Climate, Master program,

development funded by the Nordic Council of Ministers • Contributor and participant in a number of national (German and Norwegian) and European

research projects (FP6 and INCO-COPERNICUS) Teaching experience During the last 15 years, Schrum has contributed to higher education as responsible lecturer for a number of obligatory and key lectures for different master, bachelor and Ph. d. programs at the Universities of Bergen and Hamburg, Germany and to several summer schools. She supervised a number of master (6) and Phd (6) students. Schrum was involved into the planning of study programs at the Universities of Bergen and Hamburg. In 2007 Schrum lead an international consortium, which received funding from the Nordic Council of Ministers to coordinate the development of one of the first Joint Nordic Master programs (Marine Ecosystems and Climate). Schrum serves as coordinator of this program on behalf of the University of Bergen since it has been established as a joint master program of Universities from Norway, Island, Denmark and Faroe Islands in 2009.

Leadership and board experience • Research group leader, Coastal and Small Scale Oceanography, GFI (July 2008-Dec 2011)

and Oceanography group (since January 2012). • Deputy institute leader, University of Bergen, Geophysical Institute (Oct 2009-March 2010). • Program coordinator and study board leader, Nordic Master Program in Ecosystems and

Climate, Joint Master Program (since Feb. 2009). • Coordination of research projects, responsibility of institutes contributions as PI. • Institutes & center board member, Institute of Oceanography, University of Hamburg,

Germany (1997- 2002), Geophysical Institute, University of Bergen, Norway (since 2009). • Advisory board member, KLIWAS-Climate Change and Water Ways Program of the German

Department of Transportation (since 2009, ongoing, http://www.kliwas.de).

Evaluation, assessments and reviews Review of scientific publications for dvs international journals, a.o: Climate Dynamics, Climate Research, Continental Shelf Research, Fisheries Oceanography, Geophysical Research Letters, Journal of Geophysical Research, Journal of Marine Systems, Journal of Physical Oceanography, Journal of Plankton Research, Nature, Progress in Oceanography, Tellus.

Review of research proposals and projects for: European Union, MISTRA & FORMAS, Sweden, Canadian Research Foundation, US National Science Foundation, University of Hamburg, Germany, NRAC eInfrastructure, Norway, Technical Scientific Council Germany (Wissenschaftsrat), Helmholtz Association, Germany

International working groups and responsibilities: • Review board member, UK Climate projections (http://ukclimateprojections.defra.gov.uk/)

and review of Climate Report Metropol Region Hamburg, Germany • Scientific Steering Committee member (SSC) 2nd International Symposium on “Effects of

Climate Change on the World’s Oceans”, May 14-18, 2012, in Yeosu (Korea). • Lead author, North Sea Climate Change Impact Assessment, NOSCCA (ongoing). • Contributing author, Climate Change Impact Assessment for the Baltic Sea, BACC (2008). • Ocean Scope, SCORE Working group, ICES Working groups: WGPBI, WGOOFE,

WGNIOSE (chair invited and national delegate nomination), dvs international ICES workshops.

UTE DAEWEL, Dr. rer. nat. Date and place of birth: 13 March 1979, Germany Present position: Postdoc, Geophysical Institute, University of Bergen Education • Diploma in Oceanography, University of Hamburg, 2004. Thesis: “Numerical Simulation of

brown shrimp (Crangon crangon) development and drift in the German Bight“

• Dr. rer. nat., Department of Geosciences, University of Hamburg, 2008. Thesis: ”Investigating the impact of abiotic and biotic environmental factors on life cycle dynamics and vital rates of marine organisms in the North Sea using biophysical models.”

Research fields

Daewels main research interests are focused on investigating bio-physical interactions effecting different trophic levels of the ecosystem by developing and utilizing relevant coupled model systems. Thus she was specifically involved in the development of a spatially explicit Individual Based Model (IBM) for early life stages of Atlantic cod and sprat in the North Sea and a Lagrangian transport model. Using this modeling tools Daewel worked on a number of research questions including: i) impact of environmental (and climate) variables on fish early life stages; ii) impacts of prey size spectrum and life cycle strategies for larval fish survival; iii) Impacts of turbulence and small-scale physical forcing on transport and behaviour of larval fish and crustaceans. During the last years she was employed in the EU FP7 project MEECE wherein she was working on the 3d ecosystem model ECOSMO with the specific purpose on improving and enhancing the biological prameterization to make the model applicable to a wider range of ecosystems. Her main interests associated with this work are on impacts of environmental forcing on long term ecosystem dynamics and the carbon-cycle.

Employment and working history

Jan 2008 – ongoing Postdoc position at the Geophysical Institute, University of Bergen, Norway

Jan 2005 – Dec 2008 Scientist position (and PhD-student) at the University of Hamburg, Germany

2002 – 2004 Employment as Student Assistant, University of Hamburg, Germany Pregnancy and maternal leaves: 2007; 2011

Academic award “Best New Scientist-Award” at the 2005 ICES Annual Science Conference, Aberdeen, Scotland

Peer-reviewed publications

• Daewel, U., Schrum, C., Temming, A. (2011) Towards a more complete understanding of the life cycle of brown shrimp (Crangon crangon): modelling passive larvae and juvenile transport in combination with physically forced vertical juvenile migration. Fisheries Oceanography 20:479-496.

• Daewel, U., Peck, M.A., Schrum, C. (2011) Life history strategy and impacts of environmental variability on early life stages of two marine fishes in the North Sea: an individual-based modelling approach. Can. J. Fish. Aquat. Sci. 68: 426-443.

• Rose, K.A., Allen, J.I., Artioli, Y., Barange, M., Blackford, J., Carlotti, F., Cropp, R., Daewel, U., Flynn, K., Hill, S., Hille Ris Lambers, R., Huse, G., Mackinson, S., Megrey, B.A., Moll, A., Rivkin, R., Salihoglu, B., Schrum, C., Shannon, L., Shin, Y., Smith, L., Smith, C., Soldoro, C., St John, M., Zhou, M. (2010) End-To-End Models for the Analysis

of Marine Ecosystems: Challenges, Issues, and Next Steps. Marine and Coastal Fisheries 2:115-130.

• Kühn, W., Peck, M.A., Hinrichsen, H.-H., Daewel, U., Moll, A., Pohlmann, T., Stegert, C., Tamm, S. (2008). Spatial and temporal changes in the habitat suitability of the German Bight (southern North Sea) for larval sprat: An IBM approach using size-structured prey fields. J. Mar. Sys. 74, 1-2, 329-342.

• Daewel, U., Peck, M.A., Kühn, W., St. John, M.A., Alekseeva, I., and Schrum, C. (2008) Coupling ecosystem and individual-based models to simulate the influence of climate variability on potential growth and survival of larval sprat in the North Sea. Fisheries Oceanography 17(5):333–351.

• Daewel, U., Peck, M.A., Schrum, C., St. John, M.A. (2008) How best to include the effects of climate-driven forcing on prey fields in larval fish individual-based models. Journal of Plankton Research 30(1):1–5.

• Peck M.A., and Daewel, U. (2007) Physiologically based limits to food consumption, and individual-based modeling of foraging and growth of larval fishes. Mar. Ecol. Prog. Ser. 347: 171–183.

• Christensen, A., Daewel, U., Jensen, H., Mosegaard, H., St. John, M.A., Schrum, C. (2007) Hydrodynamic backtracking of fish larvae by individual-based modelling. Mar. Ecol. Prog. Ser. 347: 221–232.

KNUT BARTHEL, Dr. Scient.

Born:

1953 March 17

Education:

1980: University of Oslo, Cand.Real..

1985: University of Bergen Dr.Scient..

Relevant work experience: 1991-present: Geophysical Institute, University of Bergen, Associate professor.

1987-91: Nansen Environmental and Remote Sensing Center, Bergen, Senior scientist.

1985-86: Max-Planck-Institut für Meteorologie, Hamburg, Scientist.

Recent Publications:

Barthel, K., H.G. Gade, and C. K. Sandal, 2004: A Mechanical Energy Budget for the North Sea.

Cont. Shelf. Res., 24, 167-181.

Barthel, K., R. Rosland, and C.N. Thai, Modelling the circulation on the continental shelf of the province Khanh Hoa in Vietnam. Journal of Marine Systems, Vol. 77, No. 1-2, pp. 89-113, doi 10.1016/j.jmarsys.2008.11.010, 2009.

Barthel, K., U. Daewel, D. Pushpadas, C. Schrum, H. Wehde, and M. Årthun,

Resolving frontal structures: On the computational costs and pay-off using a less diffusive but

computational more expensive advection scheme submitted to Ocean Dynamics, 2012

Key qualifications:

Numerical modelling in oceanography.

Remote sensing of geophysical variables.

Planetary boundary layer and air-sea interaction.

Sea surface gravity waves.

Teaching:

Numerical modeling

Wind generated surface waves

Estuarine and fjord circulation

Duties

Member of the Institute’s Master Program Board

Partner II. Nansen Environmental and Remote Sensing Center (NERSC)

ANNETTE SAMUELSEN, Ph.D. Date of birth: 22. October 1975 Nationality: Norwegian

Present position: Researcher, Mohn-Sverdrup Center, Nansen Environmental and Remote Sensing Center

Degrees: Ph.D. (2005), Department of Oceanography (Physical Oceanography), Florida State University, Tallahassee, Florida, USA.

Experience in directing research: Co-supervisor for Cecilie Hansen (Ph.D. completed in 2008) and work-package leader for NFR-funded HAVKYST project AcuSat (2009-2011). Work-package leader in EU-funded project INDO-MARECLIM (2011-present).

Research activities and fields of interest: To use coupled physical-biological models to study the interaction between physical ocean processes and the marine ecosystem on lower trophic levels. I am particularly interested in the influence of mesoscale variability, such as eddies and fronts, on the ecosystem. I this work biogeochemical models as well as passive particle tracking studies and individual based models are applied. Currently I am working on the EU-funded project GreenSeas where I am running a biogeochemical model in the North Atlantic, the model results will be compared to a new database based on satellite and in-situ measurements that is being developed in the project. In addition I am involved in the large European project MyOcean2 where a coupled physical-biological model for the North Atlantic and the Arctic is implemented for operational use. During MyOcean2 a larvae drift model will be added to the modeling system and made part of the operational system. Academic and professional publications 2006-2011: Simon, E., Samuelsen, A., Bertino, L., and Dumont, D., 2012. Estimation of positive sum-to-one

constrained zooplankton grazing preferences with the DEnKF: a twin experiment, Ocean Sci. Discuss., 9, 1085-1121, doi:10.5194/osd-9-1085-2012, 2012.

Samuelsen, A., Hjøllo, S. S., Johannessen, J. A., and Patel, R., 2012. Particle aggregation in anticyclonic eddies and implications for distribution of biomass, Ocean Sci. Discuss., 9, 187-213, doi:10.5194/osd-9-187-2012.

Godø, O.R., Samuelsen, A., Macaulay, G.J., Patel, R., Hjøllo, S.S., Horne, J., Kaartvedt, S., Johannessen, J.A., 2012. Mesoscale Eddies Are Oases for Higher Trophic Marine Life. PLoS ONE 7, e30161.

Samuelsen, A. and L. Bertino. 2011. Arctic Ocean ecosystem modeling in MyOcean. Mercator Ocean Quarterly Newsletter, 40, 36-44.

George, M.S., Bertino, L., Johannessen, O.M. and Samuelsen, A., 2010. Validation of a hybrid coordinate ocean model for the Indian Ocean. Journal of Operational Oceanography, 3(2): 25-38.

Hansen, C., Kvaleberg, E. and Samuelsen, A., 2010. Anticyclonic eddies in the Norwegian Sea; their generation, evolution and impact on primary production. Deep-Sea Research Part I-Oceanographic Research Papers, 57(9): 1079-1091.

Gierach M. M, B. Subrahmanyam, A. Samuelsen, and K. Ueyoshi. 2009. Source Hurricane-driven alteration in plankton community size structure in the Gulf of Mexico: A modeling study. Geophysical Research Letters, 36, L07604.

Samuelsen A., G. Huse, C. Hansen, 2009. Shelf recruitment of Calanus finmarchicus on the west coast of Norway: role of physical processes and diapause termination. Marine Ecology Progress Series 386: 163-180.

Samuelsen, A, L. Bertino, and C. Hansen. 2009. Impact of data assimilation of physical variables on the spring bloom from TOPAZ operational runs in the North Atlantic, Ocean Sci., 5, 635-647

Hansen, C. and Samuelsen A. Samuelsen. 2009. Influence of horizontal grid resolution on a coupled physical-ecosystem model in the Norwegian Sea. Journal of Marine Systems, 75 (1-2): 236-244.

Samuelsen, A. and J. J. O'Brien, 2008. Wind-induced cross-shelf flux of water masses and organic matter at the Gulf of Tehuantepec. Deep Sea Research Part I: Oceanographic Research Papers, 55(3): 221-246.

LAURENT BERTINO Born: 05 June 1975 Nationality: French Present position: Research Director, Nansen Environmental and Remote Sensing Center, Bergen, Norway. Academic degrees: Doctor in Geostatistics from the Ecole des Mines de Paris, France, in 2001. Work experience: Ten years of experience in data assimilation and operational ocean forecasting. LB has been responsible for the development and operations of the TOPAZ monitoring system since January 2003. LB is co-leading the multidisciplinary project “forecasting non-linear systems with the Ensemble Kalman Filter and related data assimilation methods” of the Research Council of Norway eVITA programme together with Dr. Geir Evensen for the period 2007-2012 (budget 20 MNOK, 2.5 MEUR). LB is involved in European projects with the coordination of the second half of the TOPAZ project (EC-FP5, 2001-2003) and the management of NERSC activities in the integrated project MERSEA (2004-2008) and presently leads the Arctic Marine Forecasting Center of the MyOcean and MyOcean2 FP7 projects. He has also managed projects oriented to the oil and gas industry with two successful 20-years hindcast of ocean currents in the South China Sea and three hindcasts of hurricane-induced ocean currents in the Gulf of Mexico (hurricanes Ivan, Andrew and Lili). He is also regularly invited at the Institute of Atmospheric Physics of the Chinese Academy of Science in Beijing, P.R. China, to assist students working with ocean modeling and data assimilation and is a member of the board of the Nansen Environmental Research Center of India (NERCI). Fields of interest and present research activities LB’s fields of interest are data assimilation methods, ocean modelling and generally statistics applied to environmental problems. Membership in academic and professional committees, scientific review work: • Member of GODAE-OceanView Science Team (Global Ocean Data Assimilation

Experiment) and the ET-OOFS (Expert Team on Operational Ocean Forecasting Systems, under JCOMM) 2009-present.

Supervision Daily supervision: Mary Swapna George (NERCI/NERSC). Previous students:

• Main PhD adviser for F. Counillon (NERSC, 2005-2008) and I. Keghouche (NERSC, 2005-2010

• Main MSc adviser for K. Dale (2005-2006), B. Backeberg (2006-2007), G. Zangana (2008-2009), V. Vionnet (2008-2009).

Selected academic publications 2008-present Simon, E and Bertino, L. 2012. Gaussian anamorphosis extension of the DEnKF for combined

state parameter estimation: application to a 1D ocean ecosystem model. Journal of Marine Systems. Vol.: 89. p.: 18

Xie, J, Counillon, F, Zhu, J, Bertino, L. 2011. An eddy resolving tidal-driven model of the South China Sea assimilating along-track SLA data using the EnOI. Ocean Science. 5. Vol.: 7. p.: 609 - 627

Milutinovic S. and L. Bertino, 2011. Assessment and Propagation of Uncertainties in Input Terms through an Ocean-Colour-Based Model of Primary Productivity. Remote Sensing of Environment 115 pp. 1906-1917. doi: 10.1016/j.rse.2011.03.013.

Dumont D., A. Kohout, L. Bertino, 2011. A wave-based model for the marginal ice zone including a floe breaking parameterization, Journal of Geophysical Research – Oceans, 116(C04001), pp. 12.

Chauris, H, Karoui, I, Garreau, P, Wackernagel, H, Craneguy, P, Bertino, L . 2011. The circlet transform: A robust tool for detecting features with circular shapes. Computers & Geosciences. Vol.: 37. No.: 3, pp. 331-342.

George, MS, Bertino L, Johannessen OM, Samuelsen A . 2010 . Validation of a hybrid coordinate ocean model for the Indian Ocean. Journal of Operational Oceanography . Vol.: 3

Keghouche, I, Counillon F, Bertino L. 2010. Modeling dynamics and thermodynamics of icebergs in the Barents Sea from 1987 to 2005. J. Geophys. Res., 115(C12062), doi:10.1029/2010JC006165.

Backeberg B., Bertino L. and Johannessen J. A., 2009. Evaluating two numerical advection schemes in HYCOM for eddy-resolving modelling of the Agulhas Current, Ocean Science, 5(2)

Counillon F. and Bertino L., 2009. High resolution ensemble forecasting for the Gulf of Mexico eddies and fronts, Ocean Dynamics, 59(1).

Hernandez F., Bertino L., Brassington G., Chassignet E., Cummings J., Davidson F., Drévillon M., Garric G., Kamachi M., Lellouche J.-M., Mahdon R., Martin M. J., Ratsimandresy A. and Regnier C., Validation and intercomparison studies within GODAE, Oceanography, GODAE Special issue feature, 22(3), 2009

Cummings J., Bertino L., Brasseur P., Fukumori I., Kamachi M., Martin M.J., Mogensen K., Oke P., Testut C. E., Verron J. and Weaver A., Ocean data assimilation systems for Godae, Oceanography Godae special issue feature, 22(3), 2009

Samuelsen, A, Bertino L, Hansen C : Impact of data assimilation of physical variables on the spring bloom from TOPAZ operational runs in the North Atlantic. Ocean Science vol. 5, 2009.

Simon E. and Bertino L., Application of the Gaussian anamorphosis to assimilation in a 3-D coupled physical-ecosystem model of the North Atlantic with the EnKF: a twin experiment. Ocean Science, Vol. 5, November 2009

Keghouche I., L. Bertino, K. A. Lisæter: Parameterization of an iceberg drift model in the Barents Sea. Journal of Atmospheric and Oceanic Technology. 26(10), pp. 2216-2227, 2009. ISSN: 0739-0572.

Bertino L. and Lisæter K. A., The TOPAZ monitoring and prediction system for the Atlantic and Arctic Oceans, Journal of operational oceanography, 1(2), 2008

Backeberg B., Johannessen J. A., Bertino L. and Reason C. J., The greater Agulhas Current system: An integrated study of its mesoscale variability, Journal of operational oceanography, 1(1), 2008

Partner III. Institute of Marine Research, Bergen, Norway HENNING WEHDE, Dr. rer. nat. Date of birth: April, 10, 1969 Citizenship; German Present position: Senior researcher, Institute of Marine Research Academic degree: Dr rer. Nat. (Phd equivalent) 2001 Professional experience: Fifthteen years working experience in aspects of physical and coupling the physical to biological and operational oceanography. Experience includes: Oceanographic field work and data analysis: Collection and analysis of current and hydrographic observations Planning and execution of oceanographic field campaigns Development of methods for analysis and presentation of hydrographic observations Field studies in the North Sea, Baltic Sea, Norwegian Sea, Greenland Sea, Improvement of so called Ferrybox systems Modeling: numerical modeling of open oceanic convection numerical modeling of small scale circulation in fjords numerical modeling of regional circulation validation of numerical models Coupling of physical to biological models Project management and administrative responsibilities: Co-coordination EU FP5 project FerryBox PI for the institutes in EU FP6: ECOOP,

EU FP7: MyOcean, Jerico (Wp lead), Sensorfish and MyOcean II Coordination Norwegian Research Council projects: FerrySim, Fjordmix and Impact. Coordination Projects other Funding agencies: PhytoSim,

PI for the Institutes: Repparfjord, Tilførselsprogramm fase III, Salmon Scientific leadership: Chair North West Shelf Operational Oceanography System (NOOS); Steering Group since 2007, Member in the Management Committee of COST Action SMOS Member of the National Advisory Group for Earth Observations, GMES and GEO (Norway) IMR contact point for EEA/EIONET Employment history: 02.’97 –04. ‘03 Research Scientist Institute of Oceanography University of

Hamburg, Germany 04.’03 – 04.’06 Research Scientist GKSS Research Centre Geesthacht, Germany 04.’06 – 10.’09 Research Scientist, Norwegian Institute for Water Research,

Norway 11.’09 – akt Senior Scientist, Institute of Marine Research, Bergen, Norway Referee: Review of scientific publications for: Journal of Marine Systems, Ecological Modelling, Deutsche Meteorologische Zeitschrift, Ocean Science Review of research proposals for the Research Council of Norway Review of research proposals for the International Association for the promotion of co-operation with scientists from the New Independent States of the former Soviet Union (INTAS) Expert for PhD thesis and Diploma thesis, faculty Geosciences, University Hamburg

Selected publications: Backhaus, JO, Wehde, H, Nøst Hegseth, E, Kämpf, J (1999): ’Phyto-convection’: the role of

oceanic convection in primary production. Mar Ecol Prog Ser 189, 77-92. Wehde H, Backhaus, JO (2000): The fate of Lagrangian tracers in oceanic convective

conditions: on the influence of oceanic convection in primary production. Nonlinear Analysis: RWA 1, 3-21

Wehde, H, Backhaus, JO, Nøst Hegseth, E (2001) The Influence of Oceanic Convection in Primary Production. Ecological Modelling 138, 115-126.

Wehde, H (2001): Phytokonvektion im offenen Ozean – Feldexperimente und numerische Prozessstudien -, Dissertation, Berichte aus dem Zentrum für Meeres- und Klimaforschung, Reihe B, Nr. 38, 144 pp.

Ivanov, LI, Backhaus, JO, Oszoy, E, Wehde, H, (2001): Convection in the Black Sea during cold winters. J. Mar. Syst., 31/1-3, 65-76.

Backhaus J.O., E. Nøst Hegseth, H. Wehde, X. Irigoien, K. Hatten, and K. Logemann (2003): Convection and primary production in winter. Mar Ecol Prog Ser 251, 1-14.

Wehde, H. (2003): On the Influence of mixed-layer depth variations on primary production Hydrobiological Variability in the ICES Area 1990-1999. ICES Marine Science Symposia series, Vol 219, 393-395.

Schiller, H., H. L. Krasemann, and H. Wehde, (2003): Application of Autoassoziative NN’s for Monitoring and for Model Inversion. 2nd IEEE Workshop on Advanced Environmental Sensing and Monitoring Technology. 29-33.

Romeiser, R., S. Ufermann, A. Androssov, H. Wehde, L. Mitnik, S. Kern, and A. Rubino, (2004): On the remote sensing of oceanic and atmospheric convection in the Greenland Sea by synthetic aperture radar. J Geophys. Res. Vol. 109, C03004, doi:10.1029/2003JC001975.

Mills, D.K, J M Rees, S Malcolm, C J Fox, M Edwards, R Laane, P Bot, H Ridderinkhof, F Colijn, W Petersen, F Schroeder, Henning Wehde, J Johanneson, E Svendsen, and B Hackett, (2006): Towards a European Marine Ecosystem Observatory (EMECO). IMAREST publications. ISBN 1902536541.

Hydes, D. J., C. P. Bargeron, B. A. Kelly-Gerrein, H. Wehde, W. Peterersen, S. Kaitala, V. Flemming, K. Sorensen, J. Magnusson, I. Lips, U. Lips, (2007): Comparison of eutrophication processes and effects in different European marine areas based on the results of the EU FP-5 FerryBox Project. In: European Operational Oceanography: Present and Future, eds. H. Dahlin, N. C. Flemming and S. Petersson. Proceedings of the 4th EuroGOOS Conference, Brest, France, 6-9 June 2005, 101-107.

Wehde, H., F. Schroeder, F. Colijn, U. Callies, S. Reinke, W. Petersen, C. Schrum, A. Plüß, and D. Mills, (2007): FerryBox observations in the Southern North Sea- Application of numerical models for improving the significance of the FerryBox data-. In: European Operational Oceanography: Present and Future, eds. H. Dahlin, N. C. Flemming and S. Petersson. Proceedings of the 4th EuroGOOS Conference, Brest, France, 6-9 June 2005, 169-173.

Petersen, W., H. Wehde, H. Krasemann, F. Colijn, and F. Schroeder (2008): FerryBox and MERIS - Assessment of Coastal and Shelf Sea Ecosystems by Combining In-situ and Remote Sensed Data. Estuarine Coastal and Shelf Science, Vol 77, Issue 2, 296-307.

Hydes, D., Kelly-Gerreyn, B., Colijn, F., Petersen, W., Schroeder, F., Mills, D., Durand, D., Wehde, H., Sørensen, K. and Morrison, G., (2010). "The Way Forward in Developing and Integrating Ferrybox Technologies" in Proceedings of OceanObs’09: Sustained Ocean Observations and Information for Society (Vol. 2), Venice, Italy, 21-25 September 2009, Hall, J., Harrison, D.E. & Stammer, D., Eds., ESA Publication WPP-306, doi:10.5270/OceanObs09.cwp.46

Hackett, B, L, Bertino, L.-A. Breivik, D. Durand and H. Wehde, (2012): Monitoring and Forecasting the Arctic Ocean: Norway and MyOcean. Submitted

MORTEN DAHLBERG SKOGEN, Dr. Scient. Date of birth: September 4, 1962 Martial status: Married, 2 children (1998, 2001) Citizenship: Norwegian Education 1987 : Cand. Scient, Informatics, Numerical Analysis, Univ. of Bergen (UiB), Norway 1992 : Dr. Scient, Informatics, Numerical Analysis, UiB. 1998 : Scientist 1110 qualified 2004 : Scientist 1183 (full professor) qualified Employment 1988-92 : Research Assistent, Dept. of Informatics, UiB. 1993 : Lecturer "Numerical linaer algebra", Dept. of Informatics, UiB. 1995 : Lecturer "Numerical methods", Dept. of Informatics, UiB. 1999 : Paternal leave (8 months) 2002 : Paternal leave (4 months) 1992-p.t : Scientist, Institute of Marine Research, Bergen Peer review articles (international journals) last 5 years : 1 Stenseth, N.C., Jorde, P.E., Chan, K.-S., Knutsen, H., Andre, C. Skogen, M.D., & Lekve, K.

(2006). Ecological and genetic impact of Atlantic cod larval drift in the Skagerrak, Proceedings of the Royal Society of London Series B: Biological Sciences 273(1590):1085-1092.

2 Lekve, K., Bag_ien, E., Dahl, E., Edvardsen, B., Skogen, M.D. & Stenseth, N.C. (2006). Environmental forcing as a main determinant of bloom dynamics of the Chrysochromulina algae Proceedings of the Royal Society of London Series B: Biological Sciences 273(1605): 3047-3055.

3 Skogen, M.D., Budgell, W.P & Rey, F. (2007). Interannual variability of the Nordic Seas primary production. ICES J.Marine Science, 64:889-898.; doi: 10.1093/icesjms/fsm063

4 Budgell, W.P, Oliveira, A. & Skogen, M.D. (2007). Scalar advection schemes for ocean modelling on unstructured triangular grids. Ocean dynamics, 57(4-5):339-361.; doi: 10.1007/s10236- 007-0111-8

5 Svendsen E., M. Skogen, P. Budgell, G. Huse, J.E. Stiansen, B. Ådlandsvik, F. Vikebø, L. Asplin, S. Sundby (2007). An Ecosystem Modeling Approach to Predicting Cod Recruitment. Deep-Sea Research II, 54:2810-2821.

6 Leterme, S.C., Pingree, R.D., Skogen, M.D., Seuront, L., Reid, P.C. & Attrill, M.J. (2008). Decadal fluctuations in North Atlantic water inflow in the North Sea between 1958-2003: impact on temperature and phytoplankton populations. Oceanologia, 50(1): 59-72.

7 Huse, G., Salthaug, A. and Skogen, M.D. (2008). Indications of a negative impact of herring on recruitment of Norway pout. ICES J.Mar.Sci, doi: 10.1093/icesjms/fsn074

8 Skogen, M.D. and Mathisen, L.R. (2009). Long term effects of reduced nutrient inputs to the North Sea. Estuarine Coastal and Shelf Science, 82:433-442, doi: 10.1016/j.ecss.2009.02.006.

9 Johansen, G.O., God_e, O.R., Skogen, M.D. and Torkelsen, T. (2009). Using acoustic technology to improve the modelling of the transportation and distribution of juvenile gadoids in the Barents Sea. ICES J.Marine Science, 66:1048-1054, doi: 10.1093/icesjms/fsp081.

10 Hjøllo, S.S., Skogen, M.D. & Svendsen, E. (2009). Exploring currents and heat within the North Sea using a numerical model. J.Mar.Systems, 78:180-192, doi: 10.1016/j.jmarsys.2009.06.001

11 Skogen, M.D., Eknes, M., Asplin, L. & Sandvik, A.D. (2009). Modelling the environmental effects of fish farming in a Norwegian fjord. Aquaculture, 298(1-2):70-75

12 Lynam, C.P., Attrill, M.J. and Skogen, M.D. (2010). Climatic and oceanic influences on the abundance of gelatinous zooplankton in the North Sea. Journal of the Marine Biological Association of the U.K., 90(6):1153-1159. doi:10.1017/S0025315409990488.

13 Lenhart, H.J., Mills, D.K., Baretta-Bekker, H., van Leeuwen, S.M., van der Molen, J., Baretta, J.W., Blaas, M., Desmit, X., Kühn, W., Lacroix, G., Los, H.J., Menesguen, A., Neves, R., Proctor, R., Ruardij, P., Skogen, M.D., Vanhoutte-Brunier, A., Villars, M.T. & Wakelin, S.L. (2010). Predicting the consequences of nutrient reduction on the eutrophication status of the North Sea. Journal of Marine systems, 81:148-170, doi: 10.1016/j.jmarsys.2009.12.014

14 Almroth, E. & Skogen, M.D. (2010). A North Sea and Baltic Sea model ensemble eutrophication assessment. Ambio 39:59-69, doi:10.1007/s13280-009-0006-7.

15 Myrberg, K., Ryabchenko, V., Isaev, A., Vankevich, R., Andrejev, O., Bendtsen, J., Erich- sen, A., Funkquist, L., Inkala, A., Neelov, I., Rasmus, K., Rodriguez, M., Raudsepp, U., Passenko, J., Soderkvist, J., Sokolov, A., Kuosa, H., Anderson, T., Lehmann, A., Skogen, M.D.(2010). Validation of three-dimensional hydrodynamic models of the Gulf of Finland. Boreal Env. Res,15:453-479.

16 B. Berx, M. Dickey-Collas, M. D. Skogen, Y.-H. De Roeck, H. Klein, R. Barciela Fernandez, R. Foster, E. Dombrowsky, M. Huret, M. Payne, Y. Sagarminaga, C. Schrum (2011). Does operational oceanography address the needs of fisheries and applied environmental scientists? Oceanography, 24(1):166-171.

17 Skogen, M.D., Drinkwater, K., Hjøllo, S.S & Schrum, C. (2011). North Sea sensitivity to atmospheric forcing. J.Mar.Systems., 85:106-114. http://dx.doi.org/10.1016/j.jmarsys.2010.12.008

18 Harrison, W.G., Børsheim, K.Y., Li, W.K.W., Maillet, G.L., Pepin, P., Sakshaug, E., Skogen, M.D. & Yeats, P.A. Phytoplankton production and growth regulation in the sub-arctic north Atlantic: A comparativ study of the Labrador Sea, Newfoundland shelf and Nordic Seas. Accepted for publication in Progress in Oceanography

19 Utne, K.R, Hjøllo, S.S., Huse, G. & Skogen, M.D. Annual consumption of Calanus finmarchicus by planktivorous fish in the Norwegian Sea estimated from a fully couple 3D model system. Accepted for publication in Marine Biology Research

20 Hjøllo, S.S., Huse, G., Skogen, M.D. & Melle, W.. Modeling secondary production in the Norwegian Sea with a fully coupled physical/primary production/Individual-Based Calanus finmarchicus model system. Accepted for publication in Marine Biology Research

21 Knutsen, H., Jorde, P.E., Bergstad, O.A., Skogen, M.D. Population genetic structure in a deepwater fish Coryphaenoides rupestris: patterns and processes Accepted Marine Ecology Progress Series

GEIR HUSE, Dr. Scient. Date of birth: June 11, 1969 Nationality: Norwegian. Present position: Head of research Programme at the Institute of Marine Research. Academic degree: Dr. scient. (PhD equivalent) 1998. Field of research: I have worked extensively in developing and utilizing individual based models, in particular utilizing novel adaptive techniques to incorporate behavioural and life history decisions into individual based models. Spatial fish ecology has been another key interest area where I have worked on several problems related to horizontal distribution and migration in fishes both in relation to stock demography, predator-prey interactions and oceanographic processes. Part of my work has also been centred on the ecology of the Barents Sea capelin. Recently much work has been devoted to develop zooplankton models and end to end ecosystem models. Scientific leadership: Head of the Research Programme Ecosystem and Stock Dynamics at the Institute of Marine Research since 2007 (responsible for about 35 projects and an annual budget of 100 mill. NOK). Reviewer for 13 different journals and 8 different international funding bodies. Opponent for 3 PhD candidates. Invited international talks: 8. Co-author on 4 book chapters. Leadership of 3 NFR projects and co-leader of a WP an ongoing EU project. Contributed to 7 successful EU projects and many NFR projects.

Teaching and supervision: Fulfilled supervision of 2 PhD student and 2 master students. Taught introductory course in Population genetics at University courses on Svalbard during 2001-2003.

International peer-review publications: 48

International research visits: o 2001: Humboldt State University, Arcata, CA. 1 month with Dr. Steve Railsback. o 1997: Leicester University, England. 3 months with Professor Paul JB Hart.

Publications (2006-2011): 1. Huse G, Utne KR, Fernö A. 2012. Vertical distribution of herring and blue whiting in the

Norwegian Sea. Marine Biology Research 2. Søiland H, Huse G. 2012. Using RAFOS floats to simulate overwinter transport of

Calanus finmarchicus in the Norwegian Sea. Marine Biology Research. 3. Utne KR, Huse G. 2012. Estimating the horizontal and temporal overlap of pelagic fish

distribution in the Norwegian Sea using individual based modeling. Marine Biology Research.

4. Utne KR, Huse G, Ottersen G, Holst JC, Zabavnikov V, Jacobsen JA, Óskarsson GJ, Nøttestad L. 2012. Horizontal distribution and overlap of planktivorous fish stocks in the Norwegian Sea during summers 1995-2006. Marine Biology Research.

5. Utne KR, Hjøllo SS, Huse G, Skogen M. 2012b. Estimating consumption of Calanus finmarchicus by planktivorous fish in the Norwegian Sea using a fully coupled 3D model system. Marine Biology Research.

6. Huse, G, Jens Christian Holst, Kjell Utne, Leif Nøttestad, Webjørn Melle, Aril Slotte, Geir Ottersen, Tom Fenchel & Franz Uiblein 2012. Effects of interactions between fish populations on ecosystem dynamics in the Norwegian Sea –results of the INFERNO project. Marine Biology Research

7. Hjøllo SS, Huse G, Skogen MD, Melle W. 2012. Modeling secondary production in the Norwegian Sea with a fully coupled physical/primary production/Individual-Based Calanus finmarchicus model system. Marine Biology Research 00:00-00.

8. Bailey KM, Ciannelli L, Hunsicker M, Rindorf A, Neuenfeldt S, Möllmann C, Guichard F, Huse G (2010) Comparative analysis of marine ecosystems: workshop on predator-prey interactions. Biol Lett 6:579-581

9. Fiksen Ø, Jørgensen C, Kristiansen T, Vikebø F, Huse G (2007) Linking behavioural ecology and oceanography: larval behaviour determines growth, mortality and dispersal. Mar Ecol Prog Ser 347:195-205

10. Grimm V, Berger U, Bastiansen F, Eliassen S, Ginot V, Giske J, Goss-Custard J, Grand T, Heinz S, Huse G, Huth A, Jepsen JU, Jørgensen C, Mooij WM, Müller B, Pe’er G, Piou C, Railsback SF, Robbins AM, Robbins MM, Rossmanith E, Rüger N, Strand E, Souissi S, Stillmann RA, Vabø R, Visser U, DeAngelis DL (2006) A standard protocol for describing individual-based and agent-based models. Ecological Modelling 198:115-126

11. Huse G (2008) Book review: Individual-based Modeling and Ecology. Fish Fish 9:215-216

12. Huse G, Ellingsen IH (2008) Capelin migrations and climate change - a modelling analysis. Clim Change 87:177-191

13. Huse G, Fiksen Ø (2010) Modelling encounter rates and distribution of mobile predators and prey. Prog Oceanogr 84:93-104

14. Huse G, Holst JC, Fernö A (2010) Establishment of new wintering areas in herring co-occurs with peaks in the ‘first time/repeat spawner’ ratio. Mar Ecol Prog Ser 409:189-198

15. Huse G, Salthaug A, Skogen MD (2008) Indications of a negative impact of herring on recruitment of Norway pout. ICES J Mar Sci 65:906-911

16. Huse G, Utne KR, Fernø A (In press.) Vertical distribution of herring and blue whiting in the Norwegian Sea. Mar Biol Res

17. Kempf A, Dingsør GE, Huse G, Floeter J, Temming A (2010) The importance of overlap - predicting North Sea cod recovery with a multi species fisheries assessment model. ICES J Mar Sci 67:00-00

18. Kristiansen T, Vikebo F, Sundby S, Huse G, Fiksen O (2009) Modeling growth of larval cod (Gadus morhua) in large-scale seasonal and latitudinal environmental gradients. Deep-Sea Research Part Ii-Topical Studies in Oceanography 56:2001-2011

19. Ottersen G, Kim S, Huse G, Polovina JJ, Stenseth NC (2010) Major pathways by which climate may force marine fish populations. Journal of Marine Systems 79:343-360

20. Petitgas P, Secor D, McQuinn I, Huse G, Lo N (2010) Stock collapses and their recovery: mechanisms that establish and maintain life-cycle closure in space and time. ICES J Mar Sci 67:00-00

ØIVIND BERGH, Dr. Scient.

Present position: Principal Scientist (Forsker 1183), Institute of Marine Research, Bergen, Norway Address (work): Havforskningsinstituttet, postboks 1870 Nordnes, 5817 Bergen

Telephone: (+47) 48036706 (cell); (+47) 55236370 (office) E-mail: [email protected]

Born: Bergen, Norway, 1962, Norwegian citizen. Family: Married, two children, born 1999 and 2001. Academic degrees 2005: Project management – Master programme (30 ECTS credits) Norwegian Business School (Handelshøyskolen BI) 1996: Dr. scient. in General microbiology, Dept. Microbiology, Universitety of Bergen 1988: Cand. scient. in General Microbiology, Dept. Microbiology, University of Bergen 1985: Cand. mag. Faculty of Science, University of Bergen Academic award The John Martin Award 2011, from the American Society for Limnology and Oceanography, awarded to Bergh et al. 1989 Nature 340 (6233) 467-468 Relevant employments: May 2005-September 2011: Adjunct Professor (Professor II) in Fish Bacteriology. Dept.

Biology, University of Bergen, Norway. Jan 2004-sept. 2008: Head of Research Group “Fish Health and Disease” (From 2007:

“Health”) May 1997 - Dec.2004 Research Programme Manager, Fish Health and Biotechnology (from

2001: Health of Fish and Bivalves) at the Institute of Marine Research. Jan 1994- Apr. 1997 Scientist Institute of marine Research, Austevoll Aquaculture Research

Station Sept.1992 - December 1993 Scientist employed by the foundation UNIFOB, Austevoll

Aquaculture Research Station Sept. 1989 – Aug.1992: Research Fellow, Dept. Microbiology, University of Bergen

Referee/external expert evaluator • External expert evaluator, 5th and 7th framework programme, the European Commission,

Brussels • NOKUT external expert committe for evaluation of the application for accreditation of

PhD program in Aquaculture, at the University College of Bodø (2008-09) • The Norwegian Science committe for Food Safety Committe for Risk Assessment for

use of non-hygienized food. 2007 • PhD opponent Norwegian Veterinary College (2003, 2010), Technical University of

Denmark (2010) • Competence evaluation for principal Scientist (Forsker 1183) Norwegian Institute for

public health (2010), NIFES, Norway (2012). • About 15-20 Referee assignments/year in various scientific journals including PLOS

One, Aquaculture International (Editorial Board member 2001-2006), Applied and Environmental Microbiology, Journal of Applied Microbiology, Diseases of Aquatic Organisms, Microbial Ecology, Journal of Fish Diseases, ISRN Veterinary Science (Editorial Board member since 2010), Aquaculture and others.

Research interests: Bergh started his carrier as a microbial ecologist investigating interactions between fish larvae and their viral and bacterial symbionts, the diseases and the synergies caused by these relationships. This led to his PhD (1996) on the ecological relations between bacteria and larvae

of Atlantic halibut. From then he broadened his research into the ecological relations between aquaculture and fisheries in general, still with disease interactions as main field of work, from 2010 onwards with VHS-virus as the main experimental model. He presently (from 2010) coordinates the EU (7FP) project COEXIST – interactions in coastal waters: A roadmap to sustainable integration of aquaculture and fisheries, He also presently participates in the EU projects MERMAID, Aqua-tnet3, and SENSORFISH, and from summer 2012 STAGES, covering various biological, ecological and socio-economic aspects of improving integration of aquaculture with fisheries, renewable energy production and environmental protection.

Some key publications

• Bergh, Ø., Børsheim, K.Y., Bratbak, G. and Heldal, M. 1989. High abundance of viruses found in aquatic environments. Nature, 340 (6233) 467-468.

• Bergh, Ø., Hansen, G.H. and Taxt, R.E. 1992. Experimental infection of eggs and yolk sac larvae of halibut, Hippoglossus hippoglossus L. Journal of Fish Diseases 15:379-391.

• Bergh, Ø., Naas, K.E. and Harboe, T. 1994. Shift in the intestinal microflora of Atlantic halibut (Hippoglossus hippoglossus) larvae during first feeding. Canadian Journal of Fisheries and Aquatic Sciences 51(8):1899-1903.

• Bergh, Ø. , Vikanes, L., Makridis, P., Skjermo, J., Knappskog, D.H. and Rødseth, O.M. (2001). Uptake and processing of a Vibrio anguillarum bacterin in Artemia franciscana measured by ELISA and immunohistochemistry. Fish and Shellfish Immunology 11(1):15-22.

• Bergh, Ø., Nilsen, F. and Samuelsen, O.B. (2001) Diseases, prophylaxis and treatment of the Atlantic halibut, Hippoglossus hippoglossus: a review. Diseases of Aquatic Organisms 48:57-74.

• Bergh, Ø. 2007. The dual myths of the healthy wild fish and the unhealthy farmed fish. Diseases of Aquatic Organisms, 75:169-164.

• Sandlund N, Bergh Ø 2008. Screening and characterisation of potentially pathogenic bacteria associated with Atlantic cod Gadus morhua larvae: Bath challenge trials using a multidish system. Diseases of Aquatic Organisms, 81:203-217

• Bergh Ø. 2008. Bacterial diseases of fish. Pp. 239-278 in: Eiras J, Segner H, Wahli T and Kapoor B (editors) Fish Diseases. Science Publishers Inc New Hampshire USA.

• Bergh Ø., Nerland AH. 2008. Improving disease immunity to reduce antibiotic use in farmed fish. In Lie Ø. (ed) Improving farmed fish quality and safety. Pp. 183-198. Woodhead publishing, Cambridge UK.

• Johansen, L-H, Jensen I, Mikkelsen H, Bjørn P-A, Jansen P, Bergh Ø. 2011. Disease interaction and pathogens exchange between wild and farmed fish populations with special reference to Norway. Aquaculture, 315:167-186

• Macpherson H.L., Bergh Ø., Birkbeck T.H. 2012. An aerolysin-like enterotoxin from Vibrio splendidus may be involved in intestinal tract damage and mortalities in turbot, Scophthalmus maximus (L.) and cod, Gadus morhua L., larvae. Journal of Fish Diseases 35:153-167.

In total about 75 refereed articles in journals and 15 book chapters, available at request.

Partner IV. IFREMER (French Research Institute for the exploitation of the Sea / Institut Francais de Recherche pour l'Exploitation de la Mer)

MARTIN HURET Date and place of birth: 13 Oct. 1977, France Present position: Research Scientist, STH/LBH, Ifremer Brest Homepage: http://annuaire.ifremer.fr/cv/17002/en/ Degrees : Ph.D. (2005) in physical-biological Oceanography at Université Paul Sabatier, Toulouse, France.

Research fields : Dr Martin Huret is working on the modelling of the dynamics of marine systems, with focus on physical and biological interactions. He was first involved in primary production modelling with coupled physical-biogeochemical models, focusing on the parameter optimisation from ocean color satellite data. He is since 2007 at Ifremer, involved in fisheries oceanography activities with connection to operational oceanography, with a focus on IBM of ichtyoplankton transport and survival and their coupling to hydrodynamic and lower trophic level models. Within the EU FP6 project RECLAIM he coordinated a long term hindcast run of a coupled physical-biogeochemical model and climate projection scenarios for Ifremer, and their use as forcing conditions to fish IBM and habitat models. Recently within the Reproduce project he is developing a full life cycle model for anchovy in the Bay of Biscay for studying connectivity patterns throughout the different life stages.

Employment and working history Since 2011 Research Scientist, STH/LBH, IFREMER, Brest, France 2007-2011 Research Scientist, EMH, IFREMER, Nantes, France 2005-2006 Postdoc position, University of Massachussetts, New Bedford, and University of

New-Hampsire, Durham, USA. 2001-2005 PhD. LEGOS, Toulouse, and IFREMER, Brest, France

Research projects · Ifremer's coordinator for EU FP6 UNCOVER Project · Contributor in several EU projects (RECLAIM, UNCOVER, FACTS, VECTORS) · WP leader in the ERANET Marifish project Reproduce. · Member of ICES Working groups WGOOFE, former WGPBI and new WGIPEM.

Supervision MSc students, 2 postdocs (P. Vandromme, L. Baulier)

Evaluation, assessments and reviews Review of scientific publications for dvs international journals, a.o: J. of Marine Systems, Fisheries Oceanography, MEPS, Limnology and Oceanography, J. Plankton Research, Marine Biology

Relevant publications: Huret Martin, Sourisseau Marc, Petitgas Pierre, Struski Caroline, Léger Fabien, Lazure Pascal

(2012). A multi-decadal hindcast of a physical-biogeochemical model and derived oceanographic indices in the Bay of Biscay. Journal of Marine Systems. In Press.

Rochette Sebastien, Huret Martin, Rivot Etienne, Le Pape Olivier. ((2012).Coupling hydrodynamic and individual-based models to simulate long-term larval supply to

coastal nursery areas. Fisheries Oceanography, in press. Petitgas Pierre, Alheit Juergen, Peck Myron A., Raab Kristina, Irigoien Xabier, Huret Martin, Van

Der Kooij Jeroen, Pohlmann Thomas, Wagner Carola, Zarraonaindia Iratxe, Dickey-Collas Mark (2012). Anchovy population expansion in the North Sea. Marine Ecology-progress Series, 444, 1-13.

Hinrichsen Hans-Harald, Dickey-Collas Mark, Huret Martin, Peck Myron A., Vikebo Frode B. (2011). Evaluating the suitability of coupled biophysical models for fishery management. ICES Journal of Marine Science, 68(7), 1478-1487.

Chassot Emmanuel, Bonhommeau Sylvain, Reygondeau Gabriel, Nieto Karen, Polovina Jeffrey J., Huret Martin, Dulvy Nicholas K., Demarcq Herve (2011). Satellite remote sensing for an ecosystem approach to fisheries management. Ices Journal Of Marine Science, 68(4), 651-666.

Huret Martin, Petitgas Pierre, Woillez Mathieu (2010). Dispersal kernels and their drivers captured with a hydrodynamic model and spatial indices: A case study on anchovy (Engraulis encrasicolus) early life stages in the Bay of Biscay. Progress In Oceanography, 87(1-4), 6-17.

Woillez Mathieu, Petitgas Pierre, Huret Martin, Struski Caroline, Leger Fabien (2010). Statistical monitoring of spatial patterns of environmental indices for integrated ecosystem assessment: Application to the Bay of Biscay pelagic zone. Progress In Oceanography, 87(1-4), 83-93.

Lett Christophe, Ayata Sakina-Dorothee, Huret Martin, Irisson Jean-Olivier (2010). Biophysical modelling to investigate the effects of climate change on marine population dispersal and connectivity. Progress In Oceanography, 87(1-4), 106-113.

Brasseur Pierre, Gruber Nicolas, Barciela Rosa, Brander Keith, Doron Maeva, El Moussaoui Abdelali, Hobday Alistair J., Huret Martin, Kremeur Anne-Sophie, Lehodey Patrik, Matear Richard, Moulin Cyril, Murtugudde Raghu, Senina Inna, Svendsen Einar (2009). Integrating Biogeochemistry and Ecology Into Ocean Data Assimilation Systems. Oceanography, 22(3), 206-215.

Huret Martin, Runge J, Chen Claude, Cowles G, Xu Q, Pringle J (2007). Dispersal modeling of fish early life stages: sensitivity with application to Atlantic cod in the western Gulf of Maine. Marine Ecology Progress Series, 347, 261-274.

Huret Martin, Gohin Francis, Delmas Daniel, Lunven Michel, Garcon Veronique (2007). Use of SeaWiFS data for light availability and parameter estimation of a phytoplankton production model of the Bay of Biscay. Journal of Marine Systems, 65(1-4), 509-531.

Huret Martin, Dadou Isabelle, Dumas Franck, Lazure Pascal, Garcon Veronique (2005). Coupling physical and biogeochemical processes in the Rio de la Plata plume. Continental Shelf Research, 25(5-6), 629-653.

PIERRE PETITGAS, Research Scientist Date and place of birth: 24 April 1962, France Present position: Head of research unit Ecology and Models for Fisheries (EMH), Ifremer, Nantes Homepage: http://annuaire.ifremer.fr/cv/16488/ Degrees : PhD. (1991) in Geostatistics, Ecole des Mines de Paris HDR (Professorship) (2010) Spatial organisation of marine populations, Université Pierre et Marie Curie, Paris

Research fields : Dr. Petitgas is a senior scientist, specialist of mapping spatial distributions of pelagic fish populations and their spatial relationships with abiotic and biotic environments. He has developed methods for analyzing spatial aggregation patterns. Within the EU project Fisboat he has developed monitoring schemes for spatial indicators derived from surveys and also from operational oceanography products. He has coordinated 2 EU projects and was involved in 4 others and coordinates Ifremer's participation to the running EU Mari-Fish project Reproduce. He chaired the ICES Living Resources Committee and several ICES expert groups, including the steering group on ecosystem functions. He is member of the Science Committee of ICES and delegate for France. At national level, he coordinated the pelagic component of the Bay of Biscay national program PNEC-Gascogne. He is involved in the Biscay spring pelagic ecosystem survey series and in the across compartment analysis with other teams at regional scale He is head of the Research Unit on Ecology and Models at IFREMER in Nantes.

Employment and working history Since 1998 Research Scientist, EMH, FREMER, Nantes 1992-1998 Research Scientist, IRD, Paris, Dakar, Montpellier 1987-1991 PhD and research assistant, Ecole des Mines de Paris

Research projects • Project coordinator: EU FAIR project CLUSTER , coordinator EU FP6 project FISBOAT • Ifremer coordinator and WP leader: EU FP6 project RECLAIM, EU MariFish project

REPRODUCE • Contributor in several EU FP6 projects : UNCOVER, FACTS, VECTORS • Involvement in ICES: Chair of SGRESP, WGLESP, WKTEST, WKANSARNS, SSGFE,

SSGEF, member of WGIPEM, WGFAST, WGACEGG, member of SCICOM, Delegate for FRANCE

Supervision MSc students (yearly), postdocs (4), PhD (2)

Evaluation, assessments and reviews Review of scientific publications for dvs international journals, a.o: Fisheries Oceanography, MEPS, ICES JMS, Scientia Marina, Fisheries Research

Relevant publications: 2012

Huret Martin, Sourisseau Marc, Petitgas Pierre, Struski Caroline, Léger Fabien, Lazure Pascal (2012). A multi-decadal hindcast of a physical-biogeochemical model and derived oceanographic indices in the Bay of Biscay. Journal of Marine Systems. In Press.

Petitgas Pierre, Alheit Juergen, Peck Myron A., Raab Kristina, Irigoien Xabier, Huret Martin, Van Der Kooij Jeroen, Pohlmann Thomas, Wagner Carola, Zarraonaindia Iratxe, Dickey-Collas Mark

(2012). Anchovy population expansion in the North Sea. Marine Ecology-progress Series, 444, 1-13. 2011 Marquis, E., Nathalie Niquil, N., Vézina 3, A., Petitgas, P. and Dupuy, C. 2011. Influence of planktonic foodweb structure on a system’s capacity to support pelagic production: an inverse analysis approach. ICES Journal of Marine Science, 68: 803–812. Petitgas, P., Doray, M., Massé, J. and Grellier, P. 2011. Spatially explicit estimation of fish length histograms, with application to anchovy habitats in the Bay of Biscay. ICES Journal of Marine Science, 68: 2086–2095. Planque, B., Loots, C., Petitgas, P., Linstrøm, U. and Vaz, S. 2011. Understanding what controls the spatial distribution of fish populations using a multi-model approach. Fisheries Oceanography, 20: 1-17. 2010 Huret, M., Petitgas, P. and Woillez, M. 2010. Dispersal kernels and their drivers captured with a hydrodynamic model and spatial indices: A case study on anchovy (Engraulis encrasicolus) early life stages in the Bay of Biscay. Progress in Oceanography, 87: 6-17. Lehuta, S., Mahevas, S., Petitgas, P. and Pelletier, D. 2010. Combining sensitivity and uncertainty analysis to evaluate the impact of management measures with ISIS–Fish: marine protected areas for the Bay of Biscay anchovy (Engraulis encrasicolus) fishery. ICES Journal of Marine Science, 67: 1063–1075 Petitgas, P., Secor, D., McQuinn, I., Huse, G. and Lo, N. 2010. Stock collapses and their recovery: mechanisms that establish and maintain life-cycle closure in space and time. ICES Journal of Marine Science, 67: 1841-1848. Woillez, M., Petitgas, P., Huret, M., Struski, C. and Léger, F. 2010. Statistical monitoring of spatial patterns of environmental indices for integrated ecosystem assessment: Application to the Bay of Biscay pelagic zone. Progress in Oceanography, 87: 83–93. 2009 Cotter, J., Petitgas, P., Abella, A., Apostolaki, P., Mesnil, B., Politou, C.-Y., Rivoirard, J., Rochet, M.-J., Spedicato, M.-T., Trenkel, V. and Woillez, M. 2009. Towards an ecosystem approach to fisheries management (EAFM) when surveys provide the main source of information. Aquatic Living Resources, 22: 243–254. Mesnil, B. and Petitgas, P. 2009. Detection of changes in time-series of indicators using CUSUM control charts. Aquatic Living Resources, 22: 187–192. Pecquerie, L., Petitgas, P. and Kooijman, S. 2009. Modeling fish growth and reproduction in the context of the Dynamic Energy Budget theory to predict environmental impact on anchovy spawning duration. Journal of Sea Research, 62: 93–105. Petitgas, P. 2009. The CUSUM out-of-control table to monitor changes in fish stock status using many indicators. Aquatic Living Resources, 22: 201–206. Petitgas, P. 2009. Geostatistics and their applications to fisheries survey data: a history of ideas, 1990–2007. Computers in Fisheries Research. B. Megrey and E. Moksness. Dordrecht, Springer Science+Business Media B.V.: 191-224. Petitgas, P. and Poulard, J.-C. 2009. A multivariate indicator to monitor changes in spatial patterns of age-structured fish populations. Aquatic Living Resources, 22: 165–171. Woillez, M., Rivoirard, J. and Petitgas, P. 2009. Notes on survey-based spatial indicators for monitoring fish populations. Aquatic Living Resources, 22: 155-164. Woillez, M., Rivoirard, J. and Petitgas, P. 2009. Using min/max autocorrelation factors of survey-based indicators to follow the evolution of fish stocks in time. Aquatic Living Resources, 22: 193–200.

MARC SOURISSEAU Born: 05/12/1975 in Djibouti (Republic of Djibouti). 36 years old. Nationality: French. Actual position: Researcher, 2007-present Scientific activities: Plankton observation and modeling in coastal waters. IFREMER, Océanographie et dynamique des écosystèmes (ODE), Laboratoire DYNECO/Pelagos. Dr. M. Sourisseau is involved in the pelagic ecosystem modeling and has a background in plankton modeling and observation (population dynamic and vertical behaviour). He participates to the development of biogeochemical and IBM models to study plankton dynamics. He has coupled an ecosystem model for the operational coastal oceanography program (http://www.previmer.org/) and is involved in several international projects (EASYCO-Interreg IV; REPRODUCE ERA-net; FP7-ASIMUTH) on the operational biogeochemical models along the Atlantic Coast. He also participated to the Interrreg IIIB project FINAL on Alexandrium minutum modeling and is now involved into an ANR project (Paralex) dealing of the dinoflagellate species successions in relation to their pathogen dynamics in coastal waters.

Professional experience Maurice-Lamontagne Institut, Fisheries and Ocean Canada. 2006-2007. Post-doctorat. 3D

modelling of the toxic algae growth (Alexandrium tamarense) in the Saint-Lawrence Gulf. Advisors : Dr M. Starr and Dr Saucier.

Univ. Quebec (ISMER), Canada. 2003-2005. Post-doctoral researcher. Krill aggregation study in the Saint-Lawrence system : 3D modelling and acoustic measurements. 2 years of Financial support from the CRSNG. Advisors : Dr. Y. Simard and Dr Saucier.

Univ. Paris VI., France, Ph.D. 2002 Size structure study of the copepod community : measurements of size structure with an OPC and populations dynamic modelling (support from the Research Ministery) – Advisor: Pr. F. Carlotti.

Publications (last five years) Schultes S., Sourisseau M., Le Masson E., Lunven M. and Marie L. 2012. Influence of physical

forcing on mesozooplankton communities at the Ushant tidal front. J. Mar. Syst., in press. Huret M, Sourisseau M, Petitgas P., Struski C., Léger F. and Lazure P. 2012. A multidecadal

hindcast of a physical-biogeochemical model and derived oceanographic indices in the Bay of Biscay. J. Mar. Syst. in press.

Sourisseau M., Duhaut P, Gentien P., 2010. Sensitivity of an host-parasite dynamic to the physical environment. ICES CM2010/ N:08,1960 1-24.

Chapelle A., Labry C., Sourisseau M., Le breton C., Youenou A., Crassous M.P. 2010. Alexandrium minutum growth controlled by phosphorus. An applied model. J. Mar. Res., 2010.

Simard Y. and Sourisseau M. 2009. Diel changes in acoustic and catch estimates of krill biomass. ICES. J. Mar. Scienc. 66: 1318-1325.

Sourisseau M., Simard Y, Saucier FJ. 2008. Krill diel vertical migration fine dynamics, noctural overturns, and their roles for aggregation in stratified flows. Can. J. Fish. Aquat. Sci. 65:574-587.

Sourisseau M. and Carlotti F. 2006. Spatial distribution of zooplankton size spectra on the French continental shelf of the Bay of Biscay during spring 2000 and 2001. Journal of Geophysical Research – Oceans. 111:C05S09.

Trainees Total postdoctoral trainees : 3; total undergraduate students : 3; Total graduate student : 1.

FRANCK DUMAS (DYNECO) is a researcher at Department Dyneco (coastal environment dynamics) at IFREMER Education 1993 : engineer « Ecole Nationale Supérieure des Techniques Avancées » Professional employment 1997-now : Researcher at Department of environment dynamics) at Ifremer. 1994-1997 : Study engineer as subcontrator for SHOM (french hydrographic service) Scientific commitments - Manager of the research and developments of the project PREVIMER (www.previmer.org). The goal of this project is to built up a prototype of operational system that give a picture in real time of the state of the coastal oceanic environnement over the french metropolitan ZEE (Mediterranean sea, Bay of Biscay, English Channel). It encompasses circulation, waves, sedimentology and biochemestry. It is based on numerical models, observations and data assimilation. - Task Leader within ANR (Agence Nationale de la Recherche) project COMODO (2011-2014) which gathers the french community of coastal ocean modellers. - Work package leader for European concerted action dedicated to european model intercomparison (NOMADS II 1998-2001) : - Coordinator of a network for coastal ocean modelling in the coastal Ifremer stations. - Several survey at sea as a scientific director - Member of scientific committees : invited member of the MERCATOR-CORIOLIS scientific board PUBLICATIONS G. Reverdin, L. Marié, P. Lazure, F. d’Ovidio, J. Boutin, P. Testor, N. Martin, A. Lourenco, F. Gaillard, A. Lavin, C. Rodriguez, R. Somavilla, J. Mader, A. Rubio, P. Blouch, J. Rolland, Y. Bozec, G. Charria3, F. Batifoulier, F. Dumas, S. Louazel, J. Chanut,(2012). Fresh water from the Bay of Biscay shelves in 2009. Journal of marine systems.

Bennis A.C., Ardhuin F., Dumas F., (2012). On the vertical structure of adiabatic wave forcing for the ocean circulation. Part I: Theory and practical implementation. Ocean modelling. Muller H., Blanke B., Dumas F. and Mariette V. (2010). Identification of typical scenarios for the surface Lagrangian residual circulation in the Iroise Sea. Journal of geophysical research, 115, C07008, doi:10.1029/2009JC005834. Lazure P., Garnier V., Dumas F., Herry C., Chifflet M., (2009). Development of a hydrodynamic model of the Bay of Biscay: Validation of hydrology. Continental Shelf Research. 29, 985-997. Lazure P., and Dumas F., (2008). An external–internal mode coupling for a 3D hydrodynamical model for applications at regional scale (MARS). Advances in Water Resources, 31(2), 233-250. N. Bruneau, P. Bonneton, R. Pedreros, F. Dumas and D. Idier, (2007). A new morphodynamic modelling platform: Application to characteristic sandy systems of the Aquitanian Coast, France. Journal of Coastal Research, 50, 932-936. Bailly du Bois P., Dumas F. (2005). Fast hydrodynamic model for medium and long term dispersion in seawater in the English Channel and southern North Sea, qualitative and quantitative validation by radionuclide tracers. Ocean modelling, 9, 169-210. Delhez E., Damm P., De Goede E., de Kok J., Dumas F., Gerritsen H., Jones J., Ozer J., Polhmann T., Rasch P., Skogen M., Proctor R. (2004). Variability of shelf seas hydrodynamic models : lessons from NOMADS2. Journal of Marine Systems, 45, 39-53.

Further key persons: Hélène de Pontual (STH): Dr. de Pontual is a senior scientist, specialist of sclerochrohology. Her interests generally focus on individual markers in ecology. She has coordinated 1 EU project and has been involved in 5 others. She coordinates an ongoing tagging programs on seabass in the English Channel and Bay of Biscay area. She has directed several PhDs and postdoctorates, and is currently the director of a PhD. on E2E modelling on seabass.

Partner V. University of Iceland

GUÐRÚN MARTEINSDÓTTIR, PHD

Marine Academic Research in Iceland, Institute of Biology, University of Iceland, Askja, Sturlugata 7, 101 Reykjavik, Iceland Phone: +354-525-4621; Email: [email protected]; Web sites: http://www.marice.is/gm , http://www.marice.is, http://www.marine.is

Education: Ph.D., Dept. Biological Sciences, Rutgers University, New Brunswick, New Jersey, USA. 1991. Dissertation: Early life history variation of the mummichog (Fundulus heteroclitus): Egg size variation and its significance in reproduction and survival of eggs and larvae. M.S., Dept. Biological Sciences, Rutgers University, New Brunswick, New Jersey, USA. 1984. Dissertation: Electrophoretic and Morphological Variation in Icelandic Charr (Salvelinus alpinus). B.S., Dept. Science and Engineering, University of Iceland, Reykjavík, Iceland. 1979. Academic Honors and Research Grants: Leathem Fund, Rutgers University, 1983, 1984, 1985, 1986. Russel Fund, Rutgers University, 1985. Raney Award, The Amer. Soc. of Ichthyologists and Herpetologists,1985. The American-Scandinavian Foundation, 1985. NATO Science Fellowship, 1985. Lerner-Gray Fund for Marine Research of the American Museum of Natural History, 1986. New Jersey, Marine Science Consortium, Minigrant, 1986. New Jersey State Mosquito Control Commission, 1986. Summer Fellowship, Little Egg Inlet Marine Field Station, Rutgers University, 1986. Icelandic Science Council, 1989, 1990, 1991 Best Newcomer Award, ICES 1995 Icelandic Research Council, 1993, 1994, 1995, 1996, 1999-2002, 2002, 2003, 2001-2005 The Technology Development Fund 2010-2011, 2011-2013 The Icelandic Research Fund 2006-2008 The Ministry of Fisheries Research fund 2007-2009, 2008-2010, 2011-2014 Specific funding from the Ministry of Fisheries, annually during 1994-2003, 2007 European Commission, 1996-1997 (4FP), 1999-2001 (5FP: STEREO), 2001-2005 (5Fp:

METACOD), 2005-2008 (6FP: FISHACE), 2006-2007 (6FP: GENIMPACT), 2007-2009 (7FP: FINE).

Ministry of Fisheries, AVS 2002, 2003, 2005, 2005, 2006-2008, 2007, 2010-2011 University of Iceland, Research Fund 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011 Landsvirkjun, the Energy Power Dev. 2011-2013 Pálmason Nature Fund 2011 Norden Top Level Research Initiative 2011-2014 Enterpreneurs SME grants 2007, 2010, 2011, 2011 Positions held Since 2001 Professor of fisheries sciences, Department of Biology, University of Iceland. 1991-2001 Research Scientist, Marine Research Institute of Iceland 1989-1990 Research Scientist, Institute of Freshwater Fisheries, Iceland 1987-1988 Editorial Assistant, EVOLUTION, International Journal of Organic Evolution.

1987 Teaching Assistant, Dept. Biological Sciences, Rutgers University, NJ, USA. 1983-1986 Graduate Assistant, Center for Coastal and Env. Sci., Rutgers University, NJ,

USA 1978-1979 Research Assistant. Dept. Biol. Univ. Iceland Key notes 2008 - Effects of fishing on inter- and intra-stock variation of marine resources. Fisheries for

Global Welfare and Environment, 5th World Fisheries Congress 2008, Yokohama, Japan 2007 - Has man learned to manage cod? IMR/PINRO Symposium, Polar Environment Centre,

TromsØ, 21-23 August, 2007 2005 - The importance of sub-stock units in spawning and stock structure of cod at Iceland. MRI

40th Anniversary Symposium Reykjavík, 7. November 2005 2004 - Gain and productivity of the cod fishery in Iceland. Inst. Biology, Anniversary

Symposium in Reykjavik, 19.-20. November, 2004. 2004 - The effect of climate variability on growth, maturity and recruitment. ICES symposium on

the influence of climate change on north Atlantic fish stocks. Bergen, Norway 11.-14. May 2004.

2003 –Can we improve stock-recruitment relationships by including maternal effects. 27th Annual Larval Fish Conference. 20-23. August, 2003, Santa Cruz, California, USA

Research Group (www.marice.is) Dr. Kai Logemann Ocean modeling; Dr. Bruce McAdams Ecological modeling Dr. Pam Woods Fisheries modeling; 6 PhD students and 6 MS students Peer Reviewed Publications since 2010 (total 53 ISI) Heather, P. and G. Marteinsdottir. 2012. Moult cycle of the decapod Nephrops norvegicus

(Linnaeus, 1758.): description of stages and sequential changes in haemolymph protein and haemocyanin. Mar. Biol. Res. In press

McAdam, B.J., Grabowski T.B., Marteinsdottir, G. 2012 "Testing for differences in spatial distributions from individual based data". Fisheries Research. Accepted for publication pending revision.

McAdam, B. J., T.B. Grabowski and G. Marteinsdottir. 2012. Identification of stock subunits using morphological markers. Fish Res. In press

Pampoulie, C., A. K. Danielsdottir, V. Thorsteinsson, E. Hjorleifsson, G. Marteinsdottir and Ruzzante. 2012. The composition of adult overwintering and juvenile aggregations of Atlantic cod (Gadus morhua L.) around Iceland using neutral and functional markers: a statistical challenge. Can. J. Fish. Aquat. Sci. 69:1-14.

Grabowski, T., V. Thorsteinsson, B. J. McAdam, and G. Marteinsdóttir. 2011. Evidence of Segregated Spawning in a Single Marine Fish Stock: Sympatric Divergence of Ecotypes in Icelandic Cod? PLOS One 6(3): 1-9

Jakobsdottir, K. B., H. Pardoe, Á. Magnússon, H. Björnsson, C. Pampoulie, D. E. Ruzzante and G. Marteinsdottir. 2011. Historical changes in genotypic frequencies at the Pantophysin locus in Atlantic cod (Gadus morhua) in Icelandic waters: evidence of fisheries-induced selection? Evolutionary Applications 4:562-573

Thorisson, K., I. G. Jónsdóttir, G. Marteinsdottir and S. E. Campana. 2010. The use of otolith chemistry to determine the juvenile source of spawning cod in Icelandic waters. ICES Journal of Marine Science; doi:10.1093/icesjms/fsq1XX

Thorsen, A., P. R. Witthames, G. Marteinsdóttir, R D.M. Nash, O. S. Kjesbua. 2010. Fecundity and growth of Atlantic cod (Gadus morhua L.) along a latitudinal gradient. Fisheries Research 104 (2010) 45-55.

BRUCE JAMES McADAMS, Ph.D. 86 Ravenswood Avenue Edinburgh EH16 5SQ Phone: 0131 258 4801 / 07941 217 947 E-mail: [email protected] Qualifications: M.Sc. with Distinction (Ecology) University of Aberdeen (2005), Ph.D. (Computer Science) University of Edinburgh (2002), Bsc 1st Class Hons (Computer Science) University of Edinburgh (1997). Experience

• Postdoctoral Research Fellow (from April 2008) • MARICE group, The University of Iceland CodMorph Project (From May 2011) • Diversity in Icelandic cod and its Consequences Project (From May 2011) • Individual based modelling of cod behaviour Project (Apr 2008-2011) • Postdoctoral Research Fellow (2006-2008) The University of Aberdeen • Computer modeller for the Understanding the Mechanisms of Fish Stock Recovery • (UNCOVER) framework 6 project. • Research Assistant (2005-2006) • The University of Aberdeen • M.Sc. Ecology (2004-2005) The University of Aberdeen Graduated with Distinction • Robert Gordon University, Aberdeen • Ph.D. Informatics, Computer Science (1997-2001) The University of Edinburgh • Computer Science Teaching Assistant (1997-2001) The University of Edinburgh • B.Sc. (Hons) Computer Science (1993-1997) The University of Edinburgh 1st Class

Honours Publications McAdam, B.J., Grabowski T.B., Marteinsdottir, G. 2012 "Testing for differences in spatial

distributions from individual based data". Fisheries Research. Accepted for publication pending revision.

McAdam, B. J., T.B. Grabowski and G. Marteinsdottir. 2012. Identification of stock subunits using morphological markers. Fish Res. In press

Timothy B. Grabowski, Vilhjálmur Thorsteinsson, Bruce J. McAdam, Guðrún Marteinsdóttir. 2011. Evidence of Segregated Spawning in a Single Marine Fish Stock: Sympatric Divergence of Ecotypes in Icelandic Cod?. PloS ONE 6(3):e17528.

McAdam, B. J., Timothy B. Grabowski, Guðrún Marteinsdóttir. 2010. Testing for differences in spatial distributions from telemetry data. Conference Paper, ICES Annual Science Conference, Nantes, France

Timothy B. Grabowski, Bruce J. McAdam, Kai Logemann, Vilhjálmur Thorsteinsson, and Guðrún Marteinsdóttir. 2010. Lunacy in Atlantic cod: Assessing the timing of spawning in Atlantic cod using electronic data storage tags and ocean models. Conference Paper, ICES Annual Science Conference, Nantes, France

Björn Gunnarsson, Jonas P. Jonasson and Bruce J. McAdam. 2010. Variation in hatch date distributions, settlement and growth of juvenile plaice (Pleuronectes platessa L.) in Icelandic waters. Sea Research 64:61-67.

Research 104 (2010) 45-55.

KAI LOGEMANN, Dr. rer. nat. Address: Baldursgata 13 kj.

ISL-101 Reykjavik, Iceland Telephone: ++354 552 0485 (home)

++354 525 5229 (office) ++354 89 777 57 (mobile)

Email: [email protected] Date of birth: 20th December 1966 Nationality: German

Career History Since Aug. 28. 2006 Post Doctoral fellow (physical oceanography, numerical ocean modelling)

at the University of Iceland, Reykjavik. 1st February 2007 Successful oral defence of the PhD thesis "Modelling the warming of the

Greenland Sea's bottom water" at the University of Hamburg. Feb. 1999 - Jul. 2006 Scientist at the Institute of Oceanography, University of Hamburg, within three research projects: Aug. 2002 - Jul. 2006 EU-METACOD: numerical modelling of the North Atlantic's circulation

focusing on Icelandic and Scottish shelf seas. Further development of CODE mainly concentrated on grid cell organisation, parametrization of turbulence and higher order advection algorithms. Analysing the paths and origins of Atlantic, Arctic and Polar waters flowing through Denmark Strait.

Jul. 2000 - Jul. 2002 ARKTIEF: Modelling the North Atlantic's circulation with focus on bottom

boundary processes in the deep Greenland Sea and the related vertical heat and salt fluxes. Development of a numerical ocean model (CODE) including adaptive mesh refinement on Cartesian coordinates.

Sep. 2001 - Oct. 2001 Chief scientist aboard RV Lance during the research cruise "Lance-21-

2001" in the Greenland and Norwegian Sea. Feb. 1999 - Jun. 2000 EU-STEREO: numerical modelling of the north-eastern North Atlantic's

circulation (with HAMSOM). Development of a statistical tool (SNAC) which computes probable flow fields relating to air pressure records of surrounding airports.

Education Oct. 1992 - Dec. 1998 University of Hamburg, Department of Geosciences

Studies of oceanography (main subject), meteorology, geophysics (solid earth) and fluid dynamics

Dec. 1998 Graduation as "Diplom-Ozeanograph" Grade "sehr gut" (= "very good").

Diploma thesis: "The Development of a Numerical Model of the Arctic Ocean"

Oct. 1988 - Oct. 1990 University of Hamburg, Department of Physics Studies of physics and mathematics

Aug. 1977 - May 1986 Abitur (A-levels). Detlefsen-Gymnasium (Grammar School), Glückstadt. Main subjects: physics and mathematics Grade 2.5 ("good")

List of Publications Grotefendt, K., K. Logemann, D. Quadfasel und S. Ronski (1998): Is the Arctic Ocean warming?

Journal of Geophysical Research, Vol. 103, No. C12, pp. 27.679-27.687. Logemann, K. (1998): Entwicklung eines numerischen Modells des Arktischen Ozeans. Diploma

Thesis, Institute of Oceanography, University of Hamburg, pp. 128. Backhaus, J. O., E. Nøst Hegseth, H. Wehde, K. Hatten, K. Logemann, H. Nedderhut und C.

Arndt (1999): Cruise Report: Phyto-Convection, Technical Report 1-00, Zentrum für Meeres- und Klimaforschung, University of Hamburg.

Logemann, K. (2001): Investigations of the Hydrography in the Greenland Sea. Report of Cruise

# 21-2001 of RV 'LANCE'. Institute of Oceanography, University of Hamburg, pp. 22. Backhaus, J.O., E. Nøst Hegseth, H. Wehde, X. Irigoien, K. Hatten und K. Logemann (2003):

Convection and primary production in winter. Marine Ecology Progress Series, Vol. 251, 1-14.

Logemann, K., J.O. Backhaus und I.H. Harms (2004): SNAC: a statistical emulator of the north-

east Atlantic circulation. Ocean Modelling, 7, 94-110. Logemann, K. und I. Harms (2006): High resolution modelling of the North Icelandic Irminger

Current (NIIC). Ocean Science, 2, 291-304. Brickman, D., G. Marteinsdottir, K. Logemann und I. Harms (2007): Drift probabilities for Icelandic

cod larvae. ICES Journal of Marine Science, 64, 49-59. Logemann, K (2007): Modelluntersuchung zur Erwärmung des Bodenwassers der Grönlandsee

(Modelling the warming of the Greenland Sea bottom water). PhD thesis, Institute of Oceanography, University of Hamburg, pp. 183.

Logemann, K., Ólafsson, J. & Marteinsdóttir, G. 2010. The ocean model CODE and its

application to Icelandic waters. MARICE E-report MER-10-2010 (www.marice.is/ereports.htm)

Guðmundur J. Óskarsson, Dr.

Research scientist, The Marine Research Institute, Reykjavik, Iceland

Born 05.01.1969, Iceland.

Education:

Dalhousie University, Halifax, Canada, Oceanography Department (PhD) 1999-2005.

University of Bergen, Norway, (Cand. Sci.) 1996-1998.

University of Iceland, Biology (BS-Honors) 1995-1996

University of Iceland, Biology (BS) 1991-1995.

Research: Research scientist at the Marine Research Institute 2005-2012: Stock assessment, biology and life history of herring and other pelagic fish.

International collaboration/networks: EURO-BASIN (http://www.globec.org/index.php?id=252) supported by EU seventh framework programme (2011-2014). HERMIX (Stock identification and increased value of Northeast Atlantic herring), Nordic network supported by AG-Fisk (2009-2012). IN EX FISH (Incorporating extrinsic drivers into fisheries management), an EU funded international research project (FP6 2004-SSP-4; finished in 2009).

Publications during the last 10 years: Utne, K.R. Huse G., Ottersen G., Holst J.C., Zabavnikov V., Jacobsen J.A., Óskarsson G.J.,

and Nøttestad L. 2012. Horizontal distribution and overlap of planktivorous fish stocks in the Norwegian Sea during summers 1995-2006. Marine Biology Research. 8 (5-6): 420-441.

Astthorsson, O. S., Valdimarsson H., Gudmundsdottir, A., Óskarsson, G. J. 2012. Climate related variations in the distribution and abundance of mackerel (Scomber scombrus) in Icelandic waters. ICES Journal of Marine Science. In Print.

Óskarsson, G.J. and Sveinn Sveinbjörnsson, S. 2011. The diet composition of Atlantic mackerel in Icelandic waters during the summer 2009 and 2010. Hafrannsóknir, 158: 62-67.

Óskarsson G.J. and C.T. Taggart 2010. Variation in reproductive potential and influence on Icelandic herring recruitment. Fisheries Oceanography. 19: 412–426.

Óskarsson, G.J. and Pálsson, J. 2009. Plausible causes for the Ichthyophonus outbreak in the Icelandic summer-spawning herring. Hafrannsóknir, 145: 48-53.

Óskarsson, G.J. and Taggart, C.T. 2009. Spawning time variation in Icelandic summer-spawning herring (Clupea harengus L.). Canadian Journal of Fisheries and Aquatic Science 66: 1666–1681.

Óskarsson, G.J., Gudmundsdottir, A., and Sigurdsson, T. 2009. Variation in spatial distribution and migration of Icelandic summer-spawning herring. ICES Journal of Marine Science, 66: 1762-1767.

Óskarsson, G.J. 2008. Variation in body condition, fat content and growth rate of Icelandic summer-spawning herring (Clupea harengus L.). Journal of Fish Biology 72: 2655–2676

Guðmundsdóttir, Á., G.J. Óskarsson, and S. Sveinbjörnsson 2007. Estimating year-class strength of Icelandic summer-spawning herring on the basis of two survey methods. ICES Journal of Marine Science, 64: 1182–1190.

Óskarsson, G.J. and Taggart, C.T. 2006. Fecundity variation in Icelandic summer-spawning herring and implications for reproductive potential. ICES J. Mar. Sci. 63: 493-503.

Óskarsson, G.J., Kjesbu, O.S., Slotte, A. 2002. Predictions of realised fecundity and spawning time in Norwegian spring-spawning herring (Clupea harengus). Journal of Sea Research 48: 59-79.

PAMELA J. WOODS, Ph. D. [email protected]

EDUCATION: 2011, Ph.D., Department of Biology, University of Iceland, Reykjavik, in conjunction with the

School of Aquatic and Fishery Sciences, University of Washington. Thesis: Ecological diversity in the polymorphic fish Arctic charr Salvelinus alpinus. Advisors: Dr. Sigurđur S. Snorrason & Dr. Skúli Skúlason (University of Iceland); Dr. Thomas P. Quinn (University of Washington)

2005, M.S., School of Aquatic and Fishery Sciences, University of Washington, Seattle, WA Thesis: Geographic variation in the shiner perch Cymatogaster aggregata Gibbons (Teleostei: Embiotocidae): analyses of shape in the body and lower pharyngeal jaw. Advisor: Dr. T.W. Pietsch

2001, B.A., Biology with a specialization in Marine Science, Boston University, Boston, MA. POSITIONS: 2012 - present, Post-doctoral researcher for NorMER NCoE, University of Iceland. 2011, Recipient of Rannis scholarship for graduate studies, University of Iceland. 2009 - 2010, Recipient of scholarships for graduate studies, University of Washington. 2008, 100%, Early-Stage Research for FishACE, a European Research Training Network. 2007, 100%, Research Fish Biologist for a study of Atka Mackeral fecundity, FIT, REFM,

NMFS, NOAA, Seattle, Washington. 2007, 100%, Scientist for Gulf of Alaska Groundfish Surveys, 2nd leg aboard the Sea Storm and

4th leg aboard the Gladiator, RACE, NMFS, NOAA, Seattle, Washington. 2007, 100%, Teaching Assistant for Development and Ecology of Visual Systems in Marine

Organisms with Lyle Britt and Dr. Ellis Loew, Friday Harbor Laboratories, Friday Harbor, Washington.

2006, 100%, Marine Mammal Observer for LGL Alaska Research Associates, Anchorage, Alaska.

2005-2006, 100%, Fulbright Scholar, under Dr. Ole Seehausen, Eawag Centre of Ecology, Evolution and Biogeochemistry, Kastanienbaum, Switzerland & Institute of Zoology, University of Bern, Bern, Switzerland

2004-2005, 50%,Research Assistant for Ichthyoplankton Lab, FOCI, NMFS, NOAA, Seattle, Washington.

2003-2004, 50%, Research Assistant as Fish ID Trainer for the Alaskan Observer Program, REFM, NMFS, NOAA, Seattle, Washington.

2004-2005, 25%, Teaching Assistant for Research Proposal Writing for Graduate Students (FISH 521) with Dr. T.W. Pietsch, University of Washington (Winter quarter), Seattle, Washington.

2002-2003, 50%, Teaching Assistant for Biology of Fishes (FISH 311) with Dr. T.W. Pietsch, University of Washington (Winter quarter), Seattle, Washington.

2000, 50%, Research Assistant for Boston University Stable Isotope Laboratory with Robert Michener, Seattle, Washington.

PUBLICATIONS AND SUBMITTED MANUSCRIPTS: Woods, P.J., Skúlason, S., Snorrason, SS., Kristjánsson, B.K., Dieckmann, U., Brännström, Å.,

Ingimarsson, F., Malmquist, H. 2011. Variability in diet of Arctic charr Salvelinus alpinus and potential effects on ecosystem processes among subarctic lakes. (submitted Feb. 2012 to Freshwater Biology)

Woods, P.J., Skúlason, S., Snorrason, S.S., Kristjánsson, B.K., and Quinn, T.P. 2012. Intraspecific diversity in Arctic charr Salvelinus alpinus as it varies across the Icelandic

Askja, Sturlugata 7 Háskóli Íslands

101 Reykjavík, ICELAND S: ++354.894.0342

University of Washington Box 355020

School of Aquatic and Fishery Sciences Seattle, WA, 98105, USA

T: ++1.206.221.6832

landscape: I. Detection using mixture models. (submitted April 2012 to Ecology and Evolution)

Woods, P.J., Quinn, T.P. , Young, D., Skúlason, S., and Snorrason, S.S. 2012. Resource polymorphism and diversity of Arctic charr Salvelinus alpinus in a series of isolated lakes in southwestern Alaska. (to be submitted to Journal of Fish Biology March 2012)

Woods, P.J., Skúlason, S., Snorrason, S.S., Kristjánsson, B.K., and Quinn, T.P. 2012. Intraspecific diversity in Arctic charr Salvelinus alpinus as it varies across the Icelandic landscape: II. Comparisons with lake environment. (submitted April 2012 to Ecology and Evolution)

Woods, P. J., 2010. Geographic variation in lower pharyngeal jaw morphology in the Shiner Perch Cymatogaster aggregata (Embiotocidae, Teleostei). Environmental Biology of Fishes 88: 153 – 168.

Woods, P. J., Müller, R., and Seehausen, O. 2009. Intergenomic epistasis causes asynchronous hatch times in whitefish hybrids, but only when parental ecotypes differ. Journal of Evolutionary Biology 22: 2305-2319.

McDermott, S.F., Canino, M., Hillgruber, N., Cooper, D., Spies, I., Guthridge, J.L., Atkinson, S., Ianelli, J.N., Woods, P. 2008. Reproductive Ecology of Atka Mackerel Pleurogrammus monopterygius in Alaska. North Pacific Research Board Final Report, Project 522. Pp. 1- 161.

Woods, P. J. 2007. Complexity in a marine species: dependence of ontogenetic allometry on habitat and life stage in the shiner perch Cymatogaster aggregata Gibbons (Teleostei: Embiotocidae). Journal of Evolutionary Biology 20: 1783 – 1798.

MANUSCRIPTS IN PREPARATION: Woods, P.J., Quinn, T.P. , Young, D., Skúlason, S., and Snorrason, S.S. 2012. Subarctic food

webs in Alaska versus Iceland. (to be submitted October 2012) Woods, P.J., Quinn, T.P. , Young, D., Skúlason, S., and Snorrason, S.S. 2012. Intraspecific

means for lengthening food chains. (to be submitted October 2012)

Partner VI. Hellenic Centre for Marine Research (HCMR) GEORGE TRIANTAFYLLOU Research Director Institute of Oceanography, Hellenic Centre for Marine Research (HCMR)

Contact Address Hellenic Centre for Marine Research Tel: +30 22910 76327 Institute of Oceanography Mob: +30 697 8844256 P.O. BOX 712 Fax: +30 22910 76323 Anavissos 19013, Greece E-mail: [email protected] Nationality: Greek Languages: Greek (Native language), English (high professional level)

Education • 1982: B.Sc, National and Kapodistrian University of Athens, School of Sciences, Faculty of

Mathematics. • 1988: M.Sc, National and Kapodistrian University of Athens, School of Sciences, “Study of

the eigen-oscillations of marine basins using numerical models”. • 1990: Ph.D, Aristotle University of Thessaloniki (AUTh), Polytechnic School, Civil

Engineering Dept., Div. of Hydraulics and Environmental Engineering, “Properties and local structure of the attractor of a marine dynamical systems”.

Professional Experience / Work History • 1992-94: Faculty / Academic Staff, Research Associate (programme BCS-9207943), funded

by NSF (National Science Foundation), University of Wisconsin-Milwaukee, Department of Geosciences.

• 1995-00: Participation and coordination of research projects, Marine Dynamics and Numerical Simulations Laboratory, Institute of Marine Biology of Crete.

• 2000-03: Associate Researcher, Head of Physics Dept., Institute of Marine Biology of Crete. • 2003-08: Senior Researcher, Ecosystems Simulations and Data Assimilation, Institute of

Oceanography, Hellenic Centre for Marine Research. • 2009-today: Research Director, Ecosystems Simulations and Data Assimilation, Institute of

Oceanography, Hellenic Centre for Marine Research.

Research Interests Data assimilation and operational marine ecosystems modeling. -Marine ecosystem management. -Nonlinear prediction. -Climate dynamics.-Environmental impact assessment.-Study of aquatic ecosystems.-Coastal ecosystems management.-Development and application of ecological models.-Study of ecosystems under the effect of climatic changes.-Development and application of bio-energetic and fish population dynamics models.-Development and application of individual based models (IBM).

Selected and ongoing projects 1998: MFSPP -Mediterranean Forecasting System Pilot Project, (DG XII.MAS 3-CT98-0171, 1998-2001) -1999: MEDNET -Mediterranean Model Networking and Archiving Program (DG XII MAS 3- CT 98-0189, 1999-2001) -2001: COST-IMPACT -Costing the Impact of Demersal Fishing on Marine Ecosystem Processes and Biodiversity (EU FP5 QoL: Q5RS-2001-00993,

1/12/2001-30/11/2004) -2003: MFSTEP -Mediterranean Forecasting System – Towards Environmental Protection ( EU EVK3-CT-2002-00075, 1/3/2003-28/2/2006)-2003: AEGEAN -Development of operational system and methodologies for defining the environmentally, legitimately and socio-economically optimal tanker routing through the Aegean Sea for Caspian oil re-transportation to the Mediterranean (in Greek) (FP 41).-2005: POSEIDON II -A Second Generation Monitoring and Forecasting System for the Eastern Mediterranean. (Financial Mechanism of the European Economic Area - EFTA and Greek Ministry of National Economy, 2005-2007)-2005: EUR-OCEANS -European Network of excellence for Ocean Ecosystem Analysis (FP6-511106 - Global change and ecosystems, Network of Excellence)-2006: INSEA -Data Integration System for Eutrophication Assessment in Coastal Waters (EU-FP6, SST4-CT-2005-012336, 2006-2008)-2006: SESAME -Southern European Seas: Assessing and Modelling Ecosystem Changes (EU-FP6, GOCE-2006-036949, 2006-2010)-2007: ECOOP -European Coastal-shelf Sea Operational and forecasting system ( EU-FP7(2007-2013), 2007-2009)-2006: AQUA-PLANNER - Environmental Impacts Evaluation System for Aquaculture (INTERREG-III A GREECE-CYPRUS 2000-2020, 2006-2008)-2007: SARDONE -Improving assessment and management of small pelagic species in the Mediterranean (EU-FP6-44294, 2007-2010)-2009: MEECE -Marine Ecosystem Evolution in a Changing Environment (EU-FP7, 212085, 2008-12)-2009: REPROdUCE – Understanding recruitment processes using coupled biophysical models of the pelagic ecosystem (EU-FP6,ERA-NET, WP8 MARIFISH, 2009-2012) -2012: OPEC – Operational Ecology (EU-FP7, SPA.2011.1.5-03 R&D to enhance future GMES applications in the Marine and Atmosphere areas, 2012-2015)-

Selected Publications

• Petihakis, G. I., Triantafyllou, G. N. and C. G. Koutitas, 2001: Prediction and Prevention of Oil Contamination and Monitoring of the Benthic Structure and Related Fisheries in Connection with the Pollution Impact. Systems Analysis Modelling Simulation, Vol. 41(1), 169-197.

• Pollani A., Triantafyllou G., Petihakis G., Nittis K, Dounas C. and C. Koutitas, 2001: The Poseidon Operational Tool for the Prediction of Floating Pollutant Transport, Marine Pollution Bulletin, Vol. 43(7-12), 270-278.

• Triantafyllou, G., Hoteit, I., Korres, G., and G. Petihakis, 2005: Ecosystem modeling and data assimilation of physical-biogeochemical processes in shelf and regional areas of the Mediterranean Sea. Applied Numerical Analysis Computational Mathematics, 2, 262-280.

• Korres, G., Hoteit, I., and G. Triantafyllou, 2007: Data Assimilation into a Princeton Ocean Model of the Mediterranean Sea using advanced Kalman filters, Journal of Marine Systems, 65 (1-4), 84-104.

• Triantafyllou, G., Korres, G., Hoteit, I., Petihakis, G., and A.C. Banks, 2007. Assimilation of ocean colour data into a Biochemical Flux Model of the Eastern Mediterranean Sea. Ocean Science, 3(3), 397-410.

• Korres, G., Nittis, K., Hoteit, I., and G. Triantafyllou, 2009: A high resolution data assimilation system for the Aegean Sea hydrodynamics. Journal of Marine Systems, 77, 325–340.

• Petihakis, G., Triantafyllou, G., Tsiaras, K., Korres, G., Pollani, A., and I. Hoteit, 2009. Eastern Mediterranean biogeochemical flux model – Simulations of the pelagic ecosystem. Ocean Science, 5, 29-46.

• Politikos, D.V, Triantafyllou, G., Petihakis, G.,Tsiaras, K., Somarakis, S., Shin-Ichi, I., and B.A. Megrey, 2011: Application of a bioenergetics growth model for European anchovy (Engraulis encrasicolus) linked with a lower trophic level ecosystem model. Hydrobiologia, 670, 141–163.

GEORGE PETIHAKIS Birth Date: 20 Μay 1965 Place of Birth: Sitia, Crete, Greece Working Address: Hellenic Centre for Marine Research (HCMR)

P.O. Box 2214 GR71003 Heraklion, Crete Tel \ Fax: Office: 281 0337755 E-Mail: [email protected] Marital Status: Married Language: Greek (mother), English (fluently) 1. Education

• Royal Holloway and Bedford new College University of London Bsc Ecology

• Polytechnic South West (Plymouth) Msc Applied Fish Biology

• University of Thessaly PhD «Hydrodynamic and Ecological Simulation of the Ecosystem of Pagasitikos» 2. Research Activities - Interests

During the last twenty years George Petihakis was actively involved in a number of research activities in Institute of Marine Biology of Crete and in Hellenic Centre for Marine Research in the field of marine science. His primary area of expertise is monitoring/observation of the marine environment and ecological modelling. In the framework of MFSPP, MFSTEP, POSEIDON II, EuroSITES and JERICO projects he contributed in the development of the M3A marine observing station in East Mediterranean for which he is responsible for the operation and maintenance. He has been leading the development of a calibration facility at HCMR in close collaboration with all major European calibration labs. As ecosystem modeller he has extensively used collected and processed data in the tuning and validation of ecosystem models for Cretan Sea, East Mediterranean and Mediterranean Basin. He has been actively involved in the development of models for the transport of pollutants such as oil spills, domestic sewage and fish farm effluents. 3. Selected and on going projects

MATER (1996 – 1999), Mass Transfer and Ecosystem Response, MATER. Ecological Models and Process Studies, Ecological Modelling of the Aegean Sea, EU MAST – MAS3-CT96-0051. - COST-IMPACT (2001 – 2004), Costing the Impact of Demersal Fishing on Marine Ecosystem Processes and Biodiversity, EU FP5 QoL: Q5RS-2001-00993. -MFSPP (1998 – 2001), Mediterranean ocean Forecasting System: Pilot Project, DG XII.MAS 3-CT98-0171. -MFSTEP (2003 – 2006), Mediterranean ocean Forecasting System: Toward Environmental Predictions, EU EVK3-CT-2002-00075. -EUR-OCEANS, European Network of excellence FP6 - Global change and ecosystems Contract number 511106EUR-OCEANS.-INSEA (2006 – 2009), Data Integration System for Eutrophication Assessment in Coastal Waters FP6-2003-SPACE-1 SST4-CT-2005-012336. -AQUA-PLANNER (2006 – 2008), Environmental Impact Assessment Tools for Aquaculture – INTERREG III. -MEECE (2007 – 2011), Marine Ecosystem Evolution in a Changing Environment, FP7 Theme 2. -POSEIDON II (2005 – 2008), Monitoring, Forecasting and Information System for the Greek Seas, Financial Mechanism of the European Economic Area – EFTA. -EuroSITES (2007 – 2011), Integration and enhancement of key existing European deep-ocean observatories, FP7. -MedEX (2009 – 2011), Inter-basin exchange in the changing Mediterranean Sea: Impact on the ecosystems in the vicinity of the Straits connecting the Mediterranean Sea with the adjacent Basins. MarinERA. -MedEcos (2009 – 2011), Decadal scale Variability of the Mediterranean Ecosystem. MarinERA. -REPROdUCE (2009 – 2012), Understanding recruitment processes using coupled biophysical models of the pelagic ecosystem. EU-FP6,ERA-NET, WP8 MARIFISH -JERICO (2011 – 2015), Towards A Joint European Research Infrastructure Network For Coastal Observatories. FP7 - INFRA-2010-

1.1.20. -EVAGORAS (2011 – 2013), Supercomputer with grid logic for ecological, biological and medical data and algorithms. Cross-Border Cooperation Programme Greece - Cyprus 2011-2013 (INTERREG). -OPEC (2012 – 2014), Operational Ecology: Ecosystem Forecast Products to Enhance Marine GMES Applications. Collaborative Projects, SPA.2011.1.5-03 R&D to enhance future GMES applications in the Marine and Atmosphere areas.

Selected publications Petihakis G. I., Triantafyllou G. N. and C. G. Koutitas, 2001. Prediction and prevention of oil

contamination and monitoring of the benthic structure and related fisheries in connection with the pollution impact. Systems Analysis Modelling Simulation, 41(1), 169-197.

Pollani A., Triantafyllou G., Petihakis G., Nittis K, Dounas C. and C. Koutitas, 2001. The POSEIDON operational tool for the prediction of floating pollutant transport. Marine Pollution Bulletin, 43(7-12), 270-278.

Petihakis G., Triantafyllou G., Allen J. I., Hoteit I. and C. Dounas, 2002. Modelling the Spatial and Temporal Variability of the Cretan Sea Ecosystem. Journal of Marine Systems 36(3-4), 173-196

Nittis K., Tziavos C., Thanos I., Drakopoulos P., Cardin, V., Gacic M., Petihakis G. and R. Basana, 2003. The Mediterranean Moored Multi-sensor Array (M3A): System Development and Initial Results. Annales Geophysicae, Vol.21, pp 75-87.

Triantafyllou G., Korres G., Hoteit I., Petihakis G. and A. C. Banks, 2007: Data Assimilation of Biophysical Observations into the Eastern Mediterranean Biogeochemical Flux Model. Ocean Science, 3, 397-410.

Petihakis G., Smith C.J., Triantafyllou G., Sourlantzis G., Papadopoulou K.-N., Pollani A., and G. Korres, 2007: Scenario testing of fisheries management strategies using a high resolution ERSEM-POM ecosystem model. ICES Journal of Marine Science, 64, 1627-1640.

Petihakis G., Triantafyllou G., Tsiaras, K., Korres G., Pollani, A. and I. Hoteit, 2009: Eastern Mediterranean Biogeochemical Flux Model. Simulations of the Pelagic Ecosystem. Ocean Science, 5, 29-46.

Politikos, D., Triantafyllou G., Petihakis G., Tsiaras, K., Somarakis, S., Ito, S.I. and B. Megrey, 2010: Application of a bioenergetics growth model for European anchovy (Engraulis encrasicolus) linked with a lower trophic level ecosystem model. Hydrobiologia 670, 141-163.

STYLIANOS SOMARAKIS Born: August 19, 1968 (Greece) Nationality: Greek Gender: Male Family: Married (1999) to Eleni Maraveya, two children Current position: Principal Researcher, Institute of Marine Biological Resources & Inland waters, Hellenic Centre for Marine Research (HCMR), Crete, Greece Education: • Ph.D. in Fisheries Ecology (1999) University of Crete, Dept. of Biology • M.Sc. in Marine Biology (1993) University of Crete, Dept. of Biology • Graduated (1991) from University of Crete, Dept. of Biology

Languages: Greek: Mother tongue English: Very good understanding, speaking and writing French: Very good understanding, good speaking and writing

Employment: • 2008 – present: Principal Researcher, Institute of Marine Biological Resources, Hellenic

Centre for Marine Research (HCMR), Crete, Greece • April, 2007 – December, 2007: Assistant Professor, Dept. of Biology, University of Crete • June, 2002 – April 2007: Lecturer, Dept. of Biology, University of Patras • June, 1995 – June, 2002: Research Associate, Institute of Marine Biology of Crete, Dept. of

Fisheries

Research interests: Fish biology • Development, age and growth, otolith microstructure • Systematics of eggs, larvae, juveniles and adults • Reproduction (patterns of oocyte development, fecundity, spawning frequency) • Stomach content analysis and feeding ecology • Life history strategies

Ecosystem Oceanography • Distribution and abundance • Structure and diversity of species assemblages • Effects of oceanographic and climatic variability • Habitat modelling • Ecosystem modelling

Fisheries Assessment and Management • Collection, management and analysis of fisheries data • Fish population dynamics and stock assessment • Ecosystem effects of fisheries • Ecological indicators and socioeconomic component in fisheries management

Member-/Leadership in Scientific Committees and Working Groups: • 2002 – 2003: Member, Scientific, Technical and Economic Committee for Fisheries

(STECF) – Sub Group on the Mediterranean Sea (SGMED) • 2005 – 2008: Chair, Working Group on small pelagics, General Fisheries Council for the

Mediterranean (GFCM), Scientific Advisory Committee, Sub-Committee on Stock Assessment

• 2003 – present: Member, Scientific, Technical and Economic Committee for Fisheries (STECF)

• 2007-present: Leader of the Working Group ‘WG1: Identifying the causes and consequences of variation in stock reproductive potential’ of the Pan-European Action

‘FRESH: Fish Reproduction and Fisheries’ - European Cooperation in the field of Scientific and Technical Research - COST Action FA0601

• 2008-present: Leader of NAFO-WGRP, ToR2: ‘Explore and investigate the potential effects of changes in water temperature and food supply on reproductive success in selected marine species and stocks’. North Atlantic Fisheries Organization (NAFO) - Working Group on Reproductive Potential (WGRP)

Other activities in 2012: • Contributing Editor of the Journal Marine Ecology Progress Series • Member of the Editorial Board of the Journal Scientia Marina • Guest Editor in the Special Issue of the Journal Fisheries Research: ‘Εgg production

Methods in Marine Fisheries’ • Acting as reviewer in numerous Scientific Journals • Participation in the MSc program: ‘Environmental Biology – Management of terrestrial and

marine biological resources’ of the Biology Department, University of Crete, Greece. Responsible for the MSc course: ‘Fish Population Dynamics and Management of Fisheries Resources’

• Currently supervising 2 PhD and 3 MSc Theses

Selected Research projects/actions: During the last 20 years, Dr Somarakis has participated in 39 Research projects/actions. He was Coordinator, Scientific responsible or Workpackage leader in 19 projects, including the following: • ANREC: Association of Physical and Biological processes acting on Recruitment and post-

recruitment of anchovy (Q5RS-2002-01216) • Investigation on the temporal variability of zooplanktonic communities in the Northern

Aegean Sea within the framework of climatic changes and human activities. European Social Fund (ESF), Operational Program for Educational and Vocational Training II (EPEAEK II)

• FRESH: Fish Reproduction and Fisheries (COST Action FA0601). European Cooperation in the field of Scientific and Technical Research - COST Office

• SARDONE: Improving assessment and management of small pelagic species in the Mediterranean (FP6-44294)

• CLIMAFISH: Influence of climate on small pelagic fish biology, distribution and population dynamics

• Thematic program created within the European Union network MARIFISH (ERA-NET) • REPROdUCE: understanding REcruitment PROcesses Using Coupled biophysical models

of the pelagic Ecosystem. European MARIFISH project (ERA-NET)

Selected publications: Dr Somarakis has published 68 articles in peer-reviewed Journals, 4 chapters in Books and 70 articles in Conference Proceedings. Recent papers include the following: • Somarakis S., Nikolioudakis N. 2007. Oceanographic habitat, growth and mortality of larval

anchovy (Engraulis encrasicolous) in the northern Aegean Sea (eastern Mediterranean). Marine Biology 152: 1143-1158.

• Mantzouni I., Somarakis S., Moutopoulos D.K., Kallianiotis A., Koutsikopoulos C. 2007. Periodic, spatially structured matrix model for the study of anchovy (Engraulis encrasicolus) population dynamics in N Aegean Sea (E. Mediterranean). Ecol. Modelling 208: 367-377.

• Schismenou E., Giannoulaki M., Valavanis V.D., Somarakis S. 2008. Modeling and predicting potential spawning habitat of anchovy (Engraulis encrasicolus) and round sardinella (Sardinella aurita) based on satellite environmental information. Hydrobiol. 612: 201-214.

• Politikos D.V., Triantafyllou G., Petihakis G., Tsiaras K., Somarakis S., Ito S.-I., Megrey B.A. 2011. Application of a bioenergetics growth model for European anchovy (Engraulis encrasicolus) linked with a lower trophic level ecosystem model. Hydrobiol. 670: 141-163.

• Nikolioudakis N., Isari S., Pitta P., Somarakis S. 2012. Diet of sardine Sardina pilchardus: an ‘end-to-end’ field study. Marine Ecology Progress Series 453:173-188.

Dr MARIANNA GIANNOULAKI holds a Masters degree in Marine Biology and a PhD degree in Fisheries Ecology. Currently, she holds a position of Principal Researcher in the Institute of Marine Biological Resources and Inland Waters. Her scientific background and research interests are multidisciplinary focusing on population dynamics of small pelagic fish, physical/biological interactions in marine ecosystems, fisheries acoustics, spatial analysis techniques, determination of essential fish habitat and habitat suitability modelling, food web modelling as well as stock assessment modelling techniques. She is an active member of the acoustic surveys and the acoustic data analysis for the estimation of pelagic fish stocks biomass off the Greek coast. She has a high level of expertise on spatial analysis techniques, predominantly geostatistics and generalised additive models. In the last 10 years she has been involved in the implementation or the coordination of 19 National and European research projects related to fisheries assessment and essential fish habitats which have led to collaborative work with scientists in most Mediterranean countries. She has been the scientific coordinator of the “AcousMed” project that concerns the harmonization of historical acoustic surveys in the Mediterranean Sea and presently coordinates the pan-Mediterranean EU Project “MEDISEH: ‘Mediterranean Sensitive Habitats’.

She is a member of the Working Group for Stock Assessment of the GENERAL FISHERIES COMMISSION FOR THE MEDITERRANEAN SCIENTIFIC ADVISORY COMMITTEE (GFCM), the Working Group on the Mediterranean of the Scientific, Technical and Economic Committee for Fisheries (STECF) and the Steering Committee of the Pan Mediterranean Acoustic Survey (MEDIAS). In the last 10 years she has been participated in several courses and expert working groups focusing on acoustics and stock assessment. During this time she has published over 20 peer reviewed papers and contributed to over 50 non-peer reviewed papers, working documents and contract reports. She regularly reviews papers for a range of journals.

She intends to focus her future research on the assessment of climate and anthropogenic impacts on marine ecosystems and the essential fish habitat focusing in particularly on the interactions between small pelagic populations and climate change.

Selected Peer Reviewed Publications since 2003 • Tsagarakis K., Giannoulaki, M., Somarakis, S., Machias A. 2012. Variability in positional, energetic and morphometric descriptors of European anchovy (Engraulis encrasicolus) schools related to patterns of diurnal vertical migration. Marine Ecology Progress Series. 446: 243–258. (2012) • Colloca, F., Cardinale, M., Maynou, F., Giannoulaki, M., Scarcella, G., Jenko, K., Bellido, J.M., Fiorentino F. Rebuilding Mediterranean fisheries: toward a new paradigm for ecological sustainability in single species population models. Fish and Fisheries. doi: 10.1111/j.1467-2979.2011.00453.x. (2011) • Trenkel, V.M., Ressler P.H., Jech, M., Giannoulaki, M., Taylor C. Underwater acoustics for ecosystem-based management: state of the science and proposals for ecosystem indicators. Marine Ecology Progress Series. 442:285-301 (2011) • Tugores MP, Giannoulaki M, Iglesias M, Bonanno A, Ticina V, Leonori I, Machias A, Tsagarakis K, Diaz N, Giráldez, Patti B, De Felice A, Basilone G, and Valavanis V., Habitat suitability modeling for sardine (Sardina pilchardus) in a highly diverse ecosystem: the Mediterranean Sea. Marine Ecology Progress 443: 181-205. (2011). • Antonakakis K., Giannoulaki M., Machias A., Somarakis S, Sanchez S., Ibaibarriaga L. and Uriarte A., Assessment of the sardine (Sardina pilchardus Walbaum, 1792) fishery in the eastern Mediterranean basin (North Aegean Sea). Mediterranean Marine Science, 12 (2): 333-357. (2011). • Giannoulaki M., Pyrounaki M. M., Liorzou B., Leonori I., Valavanis D. V., Tsagarakis K Bigot J.L., Roos D., De Felice A., Campanella F., Somarakis S., Arneri E., and Machias A., Habitat suitability modelling for sardine (Sardina pilchardus) juveniles in the Mediterranean Sea. Fisheries Oceanography, 20(5): 367-382 (2011)

• Somarakis S., Schismenou E., Siapatis A., Giannoulaki M., Kallianiotis A. and Machias A., High variability in the Daily Egg Production Method parameters of an eastern Mediterranean anchovy stock: Influence of environmental factors; fish condition and population density. Fisheries Research, 117-118: 12-21. (2010) • Tsagarakis K., Coll M., Giannoulaki M., Somarakis S., Papaconstantinou C., and Machias A., Food-web traits of the North Aegean Sea ecosystem (Eastern Mediterranean) and comparison with other Mediterranean ecosystems. Estuarine Coastal and Shelf Science, 88, 233-248. (2010). • Siapatis A., Giannoulaki M., Valavanis V.D., Palialexis A., Schismenou E., Machias A., and Somarakis S., Modelling potential habitat of the invasive ctenophore Mnemiopsis leidyi in Aegean Sea . Hydrobiologia, 612, 281-295. (2008) • Giannoulaki M., Valavanis V.D., Palialexis A., Tsagarakis K., Machias A., Somarakis S., and Papaconstantinou C., Modelling the presence of anchovy Engraulis encrasicolus in the Aegean Sea during early summer, based on satellite environmental data. Hydrobiologia, 612, 225-240. (2008). • Tsagarakis K., Machias A., Somarakis S, Giannoulaki M., Palialexis A., and Valavanis V.D., Habitat discrimination of juvenile sardines in the Aegean Sea using remotely sensed environmental data. Hydrobiologia, 612, 215-223. (2008) • Schismenou E., Giannoulaki M., Valavanis V.D., and Somarakis S., Modeling and predicting potential spawning habitat of anchovy (Engraulis encrasicolus) and round sardinella (Sardinella aurita) based on satellite environmental information. Hydrobiologia, 612, 201-214. (2008). • Tsagarakis, K., A. Machias, M. Giannoulaki, S. Somarakis and Karakassis, I., Seasonal and temporal trends in metrics of fish community for otter-trawl discards in a Mediterranean ecosystem. ICES J. Mar. Sci, 65, 539-550. (2008) • Machias, A., M. Giannoulaki, S. Somarakis, C.D. Maravelias, C. Neofitou, D. Koutsoubas, K.N. Papadopoulou, and Karakassis I., Fish farming effects on local fisheries landings in oligotrophic seas. Aquaculture, vol. 261, 809-816. (2006) • Karakassis I., Machias A., Pitta P., Papadopoulou N., Smith C.J., Apostolaki E., Giannoulaki M., Koutsoubas D., and Somarakis S., Cross community congruence patterns in marine ecosystems: does the part reflect the whole? Marine Ecology Progress Series, vol. 310: 47-54. (2006). • Giannoulaki M., A. Machias, C. Koutsikopoulos, and Somarakis S., The effect of coastal topography on the spatial structure of anchovy and sardine. ICES Journal of Marine Science, vol. 63 (4): 650-662. (2006). • Machias A, Karakassis I, Giannoulaki M, Papadopoulou KN, Smith CJ, and Somarakis S., Response of demersal fish communities to the presence of fish farms. Marine Ecology Progress Series, 288: 241-250. (2005). • Giannoulaki M., A. Machias, S. Somarakis and Karakassis I., Wild fish spatial structure in response to presence of fish farms. Journal of Marine Biological Association of the United Kingdom, 85: 1271-1277. (2005). • Pitta P., Apostolaki E.T., Giannoulaki M., and Karakassis I., Mesoscale changes in the water column in response to fish farming zones in three coastal areas in the Eastern Mediterranean Sea. Estuarine Coastal and Shelf Science, 65: 501-512. (2005). • Giannoulaki M., A. Machias, S. Somarakis and Tsimenides N., The spatial distribution of anchovy and sardine in the northern Aegean Sea in relation to hydrographic regimes. Belgian Journal of Zoology. 135(2): 151-156. (2004). • Giannoulaki M., A. Machias, C. Koutsikopoulos, J. Haralabous, S. Somarakis and Tsimenides N., Effect of coastal topography on the spatial structure of small pelagic fish populations. Marine Ecology Progress Series, 265: 243-253. (2003).

Dr ATHANASSIOS MACHIAS holds a Masters degree in Marine Biology and a PhD in Fisheries Ecology. Currently, he holds a position of Research Director in the Institute of Marine Biological Resources of HCMR. He has a long experience in Mediterranean fisheries and his research focuses mainly on the assessment & management, biology (age & growth, feeding) and ecology of small pelagic fish (anchovy and sardine). From 2007 to 2009, he was the Coordinator of the pan-Mediterranean Acoustic Survey (MEDIAS). He is a member of the General Fisheries Council for the Mediterranean (Sub-Committee on Stock Assessment) and of other National and International Committees. In the last 15 years, he has been coordinator in 12 European and 7 National projects on fisheries biology and assessment of small pelagic fishes, including SARDONE (Improving assessment and management of small pelagic species in the Mediterranean, STREP project, SSP8, Contract No 044294) along with a series of European projects regarding acoustic surveys for stock assessment of small pelagic fish in the Greek Seas. Moreover he has been involved in the implementation another 19 national and international research programmes which have led to collaborative work with scientists in most Mediterranean countries. He has supervised more than 30 MSc students and 2 PhD students. He has published more than 45 papers in peer-reviewed International Journals. Selected Peer Reviewed Publications since 2005 • Tsagarakis K., Vassilopoulou, V., Kallianiotis, A., Machias, A. In Press. Discards of the purse seine fishery targeting small pelagic fish in the Eastern Mediterranean Sea. Scientia Marina. • Tsagarakis K., M. Giannoulaki, S. Somarakis, A. Machias. 2012. Variability in positional, energetic and morphometric descriptors of European anchovy Engraulis encrasicolus schools related to patterns of diurnal vertical migration. Marine Ecology Progress Series, 446: 243–258. • Tugores MP, Giannoulaki M, Iglesias M, Bonanno A, Ticina V, Leonori I, Machias A, Tsagarakis K, Diaz N, Giráldez, Patti B, De Felice A, Basilone G, and Valavanis V., Habitat suitability modeling for sardine (Sardina pilchardus) in a highly diverse ecosystem: the Mediterranean Sea. Marine Ecology Progress Series DOI: 10.3354/meps09366. (2011). • Giannoulaki M., Pyrounaki M. M., Liorzou B., Leonori I., Valavanis D. V., Tsagarakis K Bigot J.L., Roos D., De Felice A., Campanella F., Somarakis S., Arneri E., and Machias A., Habitat suitability modelling for sardine (Sardina pilchardus) juveniles in the Mediterranean Sea. Fisheries Oceanography, 20(5): 367-382 (2011) • Antonakakis K., M. Giannoulaki, A. Machias, S. Somarakis, S. Sanchez, L. Ibaibarriaga and A. Uriarte. 2011. Assessment of the sardine (Sardina pilchardus Walbaum, 1792) fishery in the eastern Mediterranean basin (North Aegean Sea). Mediterranean Marine Science: 12(2): 333-357 • • Somarakis, S., Schismenou, E., Siapatis, A., Giannoulaki, M., Kallianiotis, A., Machias, A. 2012. High variability in the Daily Egg Production Method parameters of an eastern Mediterranean anchovy stock: Influence of environmental factors, fish condition and population density. Fisheries Research, 117-118: 12-21 • Giannoulaki M, M. M. Pyrounaki, B. Liorzou, I. Leonori, V. Valavanis, K. Tsagarakis, J. L. Bigot, D. Roos, A. De Felice, F. Campanella, S. Somarakis, E. Arneri, and A. Machias. 2011. Habitat suitability modelling for sardine juveniles (Sardina pilchardus) in the Mediterranean Sea. Fish. Oceanogr. 20:5, 367–382 • Somarakis S., S. Isari and A. Machias. 2011. Larval fish assemblages in coastal waters of central Greece: reflections of topographic and oceanographic heterogeneity. Scientia Marina 75(3), 605-618 • K. Tsagarakis, M. Coll, M. Giannoulaki, S. Somarakis, C. Papaconstantinou, A. Machias. 2010. Food-web traits of the North Aegean Sea ecosystem (Eastern Mediterranean) and comparison with other Mediterranean ecosystems. Estuarine, Coastal and Shelf Science, 88, 233-248. • Siapatis, A., Giannoulaki, M., Valavanis, V.D., Palialexis, A., Schismenou, E., Machias, A., Somarakis, S., 2008, Modelling potential habitat of the invasive ctenophore Mnemiopsis leidyi inVi Aegean Sea. Hydrobiologia 612 (1), 281-295.

• Tsagarakis, K., Machias, A., Somarakis, S., Giannoulaki, M., Palialexis, A., Valavanis, V.D., 2008. Habitat discrimination of juvenile sardines in the Aegean Sea using remotely sensed environmental data. Hydrobiologia 612 (1), 215-223. • Giannoulaki, M., Valavanis, V.D., Palialexis, A., Tsagarakis, K., Machias, A., Somarakis, S., Papaconstantinou, C. 2008. Modelling the presence of anchovy Engraulis encrasicolus in the Aegean Sea during early summer, based on satellite environmental data. Hydrobiologia 612 (1), 225-240. • K.Tsagarakis, A. Machias, M. Giannoulaki, S. Somarakis, I. Karakassis. 2008. Trends in metrics of fish community for bottom trawl discards in a Mediterranean ecosystem. Submitted in ICES Journal of Marine Science, 65: 559 - 550 • Machias A, Stergiou KI, Somarakis S, Karpouzu VS, Kapantagakis A. 2008. Trends in trawl and purse seine catch rates in the north-eastern Mediterranean. 9(1), 49-65. • Stergiou, K., Machias, A., Somarakis, S. and Kapantagakis, A. 2007. Multivariate analysis of fisheries catch per day in Greek waters. In: Zeller, D. and Pauly, D. (eds.) Reconstruction of marine fisheries catches for key countries and regions (1950-2005). Fisheries Centre, University of British Columbia; Fisheries Centre Research Reports 15(2): 139-148 • Ganias K., S. Somarakis, C. Koutsikopoulos, A. Machias. 2007. Factors affecting the spawning period of sardine in two highly oligotrophic Seas. Marine Biology, 151(4), 1559-1569. • Machias A., M. Giannoulaki, S. Somarakis, C.D. Maravelias, C. Neofitou, D. Koutsoubas, K.N. Papadopoulou and I. Karakassis. 2006. Fish farming effects on local fisheries landings in oligotrophic seas Aquaculture 261 (2): 809-816 • Somarakis S, Tsianis D., Machias A, Stergiou K. 2006. An overview of biological data related to anchovy and sardine stocks in Greek waters. Fisheries Centre Research Reports 14(4): 56-64 • Somarakis, S., Ganias, K., Siapatis, A. Koutsikopoulos, C., Machias, A., and Papaconstantinou, C. 2006 Spawning habitat and daily egg production of sardine in the eastern Mediterranean. Fisheries Oceanography 15 (4): 281-292. • Giannoulaki M., Machias A., Koutsikopoulos C. and Somarakis S. 2006. The effect of coastal topography on the spatial structure of anchovy and sardine. ICES Journal of Marine Science, 63(4): 650-662. • Karakassis I., A. Machias, P. Pitta, K. N. Papadopoulou, C. J. Smith, E. T. Apostolaki, M. Giannoulaki, D. Koutsoubas, S. Somarakis. 2006. Cross-community congruence of patterns in a marine ecosystem: Do the parts reflect the whole? Marine Ecology Progress Series. 310: 47-54 • Giannoulaki M, Machias A, Somarakis S, Tsimenides N. 2005. The spatial distribution of anchovy and sardine in the northern Aegean Sea in relation to hydrographic regimes. Belgian Journal of Zoology 135 (2): 151-156. • Machias A., I. Karakassis, S. Somarakis, M. Giannoulaki, KN Papadopoulou, C. Smith. 2005. The response of demersal fish communities to the presence of fish farms. Marine Ecology Progress Series. 288: 241-250. • Giannoulaki M., Machias A., Somarakis S., and I. Karakassis. 2005. Wild fish spatial structure in response to presence of fish farms. J. Mar. Biol. Ass. UK. 85: 1271-1277. • Papandroulakis N., Suquet M., Spedicato M.T., Machias A., Fauvel C. and Divanach P. 2004. Feeding rates, growth performance and gametogenesis of wreckfish (Polyprion americanus) kept in captivity. Aquaculture International: 12 (4-5): 395-407.

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