soil and water conservation modeling: modeling summit summary comments dennis ojima natural resource...
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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
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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
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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
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GHG
VOC, NOx O3
SOCIAL-ECOLOGICAL SYSTEM
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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
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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
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Multi-sensor/Multi-scale Modeling Framework
Nemani et al., 2003, EOM White & Nemani, 2004, CJRS
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FROM PETABYTE TO SOUNDBYTE
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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
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• 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
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• 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
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Modeling ApplicationsModeling Applications
•Understanding•Evaluation•Scaling•Integration•Synthesis•Forecasting
COMMUNICATION COMMUNICATION &TRANSLATION&TRANSLATIONCOLLABORATIONCOLLABORATIONEDUCATION &EDUCATION &
TRAINING TRAINING
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THANK YOUCOMMENTS?
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