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Modeling Complex Interactions of Overlapping River and Road Networks in a Changing Landscape

Modeling Complex Interactions of Overlapping River and Road Networks in a Changing Landscape. Programmatic overview Hypothesis Preliminary findings. NSF BIOCOMPLEXITY IN THE ENVIRONMENT FY 2003 SPECIAL COMPETITION DYNAMICS OF COUPLED NATURAL AND HUMAN SYSTEMS LARGE RESEARCH PROPOSALS.

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Modeling Complex Interactions of Overlapping River and Road Networks in a Changing Landscape

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  1. Modeling Complex Interactions of Overlapping River and Road Networks in a Changing Landscape Programmatic overview Hypothesis Preliminary findings

  2. NSF BIOCOMPLEXITY IN THE ENVIRONMENT FY 2003 SPECIAL COMPETITIONDYNAMICS OF COUPLED NATURAL AND HUMAN SYSTEMSLARGE RESEARCH PROPOSALS • 249 Biocomplexity proposals • 74 Coupled Natural & Human systems • 6 “High priority” funding (8%)

  3. NSF Emphasis • Integrate different disciplines • Apply modern technology • Data acquisition • Remote sensing, DNA…. • Information management • Public access to data, monitoring • 5 year rule • Public relevance • Pure vs applied science

  4. Solution RFP’s for Integrated Research Proposals • Multidisciplinary research teams focused on broad proposals • Environmental Molecular Science Institutes • Chemists & environmental scientists & industry • Biocomplexity • Complex biological interactions over range of spatial and temporal scales • Beyond biodiversity; interactions

  5. Successful proposals must • Address the inherent complexity and highly coupled nature of relevant natural and human systems as well as their interactions • Describe plans for the work of interdisciplinary teams from the natural, social, mathematical sciences, engineering, and education • Whose coordinated work will enhance theoretical understanding

  6. Projects must include • Quantitative approaches or advanced conceptual models • Specific plans for education • Graduate students • Road seminar • K-12 education program

  7. Evaluation Criteria • Strength of the collaborations planned and degree of interdisciplinary • Effectiveness of the group organization and management plan • Value to education in these topical areas • Strength of the dissemination plans • Extent, effectiveness, and long-term potential of collaborations with industries, national laboratories, and comparable research centers abroad, when appropriate.

  8. Our main overarching hypothesis is that an integrated individual-based model will more accurately predict environmental effects than any single physical, biotic or social model by reducing unexplained variation.

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