Rosa Meehan

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Rosa Meehan

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Rosa Meehan. Goal Develop an Arctic Animal Telemetry Network Purpose Increase coastal and ocean observation Facilitate data access Enhance collaboration Enable broadly synthetic studies - PowerPoint PPT Presentation

Transcript of Rosa Meehan

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Rosa Meehan

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Goal• Develop an Arctic Animal Telemetry Network

Purpose• Increase coastal and ocean observation• Facilitate data access• Enhance collaboration• Enable broadly synthetic studies

• Not just a data archive or a simple display of animal tracks – specifically incorporate animal location and behavior into spatially and temporally related databases that allow coordinated and collaborative investigations across disciplines

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Developing Science Questions• Gather info and knowledge on similar networks• Determine goals of participants and stakeholders

Challenge: define what biological ocean observing data will best meet the needs of multiple users

Science questions• Animal-centric questions• Oceanographic questions (that could benefit from animal-borne

sensor data)

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What do stakeholders care about?

• Marine Operations• Support safe shipping and energy development, and improved spill response and

search and rescue operation

• Coastal and Offshore Hazards• Improve ability to forecast and address changing storm and ice conditions, and their

impacts on coastal communities

• Ecosystems, Fisheries and Water Quality• Contribute to integrated ecosystem assessments with sustained monitoring of key

biological, chemical and physical variables

• Climate Variability and Change• Track changing ocean conditions over time, especially ocean acidification, sea level

rise, temperature, salinity, ad sea ice

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Preliminary animal-centric question listCollaborative/synthetic questions:

• Overlapping distribution and migration paths?

• Note that for some animals we lack basic information.

• Need seasonal components (e.g., ice movements) and long-term components (related to climate change and associated effects on ice and oceanography)

• What habitats are important (e.g., hot spots, shared migratory corridors, niche partitioning)?

• What environmental variables are predictive?

• Population Changes; Habitat Loss and Shifts; Changes in Timing of Migration & Reproduction; Food Web Impacts

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Additional discussion topics

• Potential to use all types of animal data (aerial survey, acoustics, etc.)

• Geographic scope

• Desire to move beyond data repository/spontaneous syntheses to fund and implement large-scale collaborative project with additional tag deployments and support for broadly synthetic analyses that reach across species and disciplines

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Additional discussion topics (from Josh)• Objective/Mission

• Objectives of this effort? Match/differ from National IOOS ATN objectives?

• Prioritize objectives – to assist in allocation of limited resources (time and

money)

• Tangible end products

• Scale/Scope

• geographic boundaries

• temporal range

• taxa of interest

• Data Contribution

• Participants?

• Actions to encourage participation?

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Additional discussion topics (from Josh)• Data Ownership and Sharing

• Existing models for data ownership and sharing? Establish a custom model?

• Federal or state agency participation may be impacted by existing rules, regulations, polices, laws and other red tape related to release of government data

• Funding and Allocation of Time

• Funding sources (external and agency internal)

• Target time frame

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Additional discussion topics (from Phillip)• Data goals for Arctic ATN?

• simplify data management, reduce cost, manage and improve quality?

• Use existing - or innovate, develop new data design and methods, data

research?

• synergize by working together? rather than just save effort, do you want to

work together in order to build greater-than-sum data capabilities?

• goal or requirement to make data public widely? or just share internally

with the group? or not a driver for sharing outside the individual program?

• enhance data life cycle: path from origination to application to archiving.

Security - data life cycle repeatable and reliable.

• modeling goals: new kinds? drivers? external demand for data/model

output? internal goals for models for research questions? modeling

technologies known, or in research? Modelers? - scientists? students?

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Additional discussion topics (from Phillip)• Program questions

• research vs operational: distinction is between known, repeatable tasks

suitable for standard procedures, vs activities dominated by innovation and

not yet standardizable

• If strong research component, are there operational aspects that are

repeatable, and suitable for standardization?

• activities built around single institution, or multiple? Single funder or

bundled? How do funding dynamics influence data decisions?

• Goals for a regional group:

• opportunities for common practices, cost saving, skill specialization, joint

problem-solving, joint products

• Is goal just to have a support community - some sharing of insights and

skills, but not necessarily research and product collaboration?

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International

• Shared animal populations• Long history of collaboration• Need to tackle constraints on sharing information

RussiaAlaska Canada

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Courtesy of Chad Jay and Tony Fishbach, USGS Alaska Science Centerhttp://alaska.usgs.gov/science/biology/walrus/index.htmlJay, C. V., Fischbach, A.S., Kochnev, A.A., 2012. Walrus areas of use in the Chukchi Sea during sparse sea ice cover, journal article, Marine Ecology Progress Series, 466, doi: 10.3354/meps10057.

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https://www.erma.unh.edu/arctic/erma.html#x=-165.88256&y=69.48068&z=5&layers=13439+12921+13333+12920

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