Soil and Water Conservation Modeling: MODELING SUMMIT SUMMARY COMMENTS Dennis Ojima Natural Resource...
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Transcript of Soil and Water Conservation Modeling: MODELING SUMMIT SUMMARY COMMENTS Dennis Ojima Natural Resource...
Soil and Water Conservation Soil and Water Conservation Modeling:Modeling:
MODELING SUMMIT MODELING SUMMIT SUMMARY COMMENTSSUMMARY COMMENTS
Dennis OjimaDennis OjimaNatural Resource Ecology LaboratoryNatural Resource Ecology Laboratory
COLORADO STATE UNIVERSITYCOLORADO STATE UNIVERSITY
31 MARCH 201131 MARCH 2011
Denver, CODenver, CO
Ecosystem Services Ecosystem Services and Societyand Society
• Soil and water conservation goals are central to social well-being and to reducing environmental degradation
• Needed for reducing perverse outcomes or unintended consequences
• Assessment tools for scenario analyses of management options and policy decisions
• Interdisciplinary efforts needed for joint social science – biophysical science to make a difference
CHALLENGES and NEEDSCHALLENGES and NEEDSOF OF
Model Development, Inter-Model Development, Inter-comparison, Integration, and comparison, Integration, and
InterpretationInterpretation• Multiple Stresses• Interactive Sectors• Increasing Human Pressures
– (e.g., bioenergy, conservation, food production, water usage and sources, energy production, etc)
• Information Exchange to Multiple Publics– Scientist within and across disciplines– Managers– Policy Makers– Public at Large
GHG
VOC, NOx O3
SOCIAL-ECOLOGICAL SYSTEM
Advancing Modeling Advancing Modeling ApproachesApproachesWHY NOW?WHY NOW?
• Grand Challenges facing Environmental Sciences
– Land Use; Water Resources, Climate change; Biodiversity; Biogeochemical cycles; Infectious disease; Invasive species
• New Observational Systems• New Cyber Infrastructure Developments• Development of Data-Model Fusion
Techniques
NEON: A continental research platform designed to provide the capacity to forecast future states of ecological systems for the advancement of science and the benefit of society
Nat
ion
al E
colo
gic
al O
bse
rvat
ory
Net
wo
rk (
NE
ON
)
Novel infrastructure that:
• allows scientists to observe the previously unobservable
• scale from m2 to continent
• evaluate fundamental theory at regional to continental scale
• enables a new forecasting and predictive capacity for ecology
• takes advantage of new and evolving in situ sensing technologies
• couples human and natural systems
Multi-sensor/Multi-scale Modeling Framework
Nemani et al., 2003, EOM White & Nemani, 2004, CJRS
FROM PETABYTE TO SOUNDBYTE
Integrated Earth System Approach
Linking earth systemcomponents togetherprovides a frameworkto analyze interactionsof land use and environmental changes.
Analysis provides ananalytical tool to guide new policy and understanding of changesto the social-environmentalsystem
• Collect data from digital libraries, laboratories, and observation
• Analyze the data with models run on the grid
• Visualize and share data over the Web
• Publish results in a digital library
Changing How Science is Done
• SCIENCE BASED: Developing and testing theory and models requires integration of complex in situ process data with large gridded data sets.
• MULTI-SCALED: Required data are multi-scale, many formats, originating in multiple disciplines.
• AGILE: Rapid prototyping and development cycle to maximize user control of information systems, implies incorporating existing state-of-the-art components rather than de novo development
• USER-DRIVEN: Data systems must allow user-driven, knowledge-based querying of multiple data types
Information Technology for Soil and Water Analysis
Modeling ApplicationsModeling Applications
•Understanding•Evaluation•Scaling•Integration•Synthesis•Forecasting
COMMUNICATION COMMUNICATION &TRANSLATION&TRANSLATIONCOLLABORATIONCOLLABORATIONEDUCATION &EDUCATION &
TRAINING TRAINING
THANK YOUCOMMENTS?