EARLY HEARING DETECTION AND INTERVENTION VIRTUAL CONFERENCE
MARCH 2-5, 2021
(Virtually the same conference, without elevators, airplane tickets, or hotel room keys)
5/22/2018 | 11:15 AM - 11:30 AM | HOW INTERDISCIPLINARY APPROACHES TO BIG DATA ANALYTICS CAN STRENGTHEN THE ROLE OF SCIENCE IN DAM DECISIONS | 310 A
HOW INTERDISCIPLINARY APPROACHES TO BIG DATA ANALYTICS CAN STRENGTHEN THE ROLE OF SCIENCE IN DAM DECISIONS
We outline an approach to help understand and resolve many social-ecological conflicts and uncertainties of dams based on our experiences on a sustainability science research project supported in part by a $6 million NSF grant. Our approach emphasizes the integrative use of big data and numerical models, and crafting usable knowledge through collaborations between > 25 biophysical and social scientists as well as engagement with diverse stakeholders. We draw upon a wide array of data sources to examine trade-offs between multiple ecosystem services, such as hydropower, fish passage, recreation, and water supply, that are valued by stakeholders and impacted by dam decisions at multiple spatial scales. Based on model results, we find numerous opportunities to restore historic diadromous fish habitat while minimizing reductions in other important ecosystem services such as water supply or hydropower. Also, incorporating a greater diversity of dam decision alternatives at watershed scales can lead to improvements for all services. However, careful consideration is needed to match the decision-making scale to social-ecological scales, simultaneously capturing the benefits of watershed-scale ecosystem connectivity and the utility of local ecosystem services for stakeholders.
- Fish
- Hydropower
- Connectivity
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Presenters/Authors
Samuel Roy
(), Senator George J. Mitchell Center for Sustainability Solutions, University of Maine, samuel.g.roy@maine.edu;
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Emi Uchida
(), University of Rhode Island, euchida@uri.edu;
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Karen Wilson
(), University of Southern Maine, karen.wilson@maine.edu;
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Shantel Neptune
(), University of Maine, shantel.neptune@maine.edu;
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Arthur Gold
(), University of Rhode Island, agold@uri.edu;
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Kevin Gardner
(), University of New Hampshire, Kevin.Gardner@unh.edu;
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Sharon Klein
(), University of Maine, sharon.klein@maine.edu;
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Emma Fox
(), University of Maine, emma.fox@maine.edu;
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Sean Smith
(), University of Maine, sean.m.smith@maine.edu;
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Joseph Zydlewski
(), USGS, University of Maine, josephz@maine.edu;
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David Hart
(), Mitchell Center for Sustainability Solutions, University of Maine, Orono, ME, USA, david.hart@umit.maine.edu;
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