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Reducing adverse impacts of Amazon hydropower expansion.
Flecker, Alexander S; Shi, Qinru; Almeida, Rafael M; Angarita, Héctor; Gomes-Selman, Jonathan M; García-Villacorta, Roosevelt; Sethi, Suresh A; Thomas, Steven A; Poff, N LeRoy; Forsberg, Bruce R; Heilpern, Sebastian A; Hamilton, Stephen K; Abad, Jorge D; Anderson, Elizabeth P; Barros, Nathan; Bernal, Isabel Carolina; Bernstein, Richard; Cañas, Carlos M; Dangles, Olivier; Encalada, Andrea C; Fleischmann, Ayan S; Goulding, Michael; Higgins, Jonathan; Jézéquel, Céline; Larson, Erin I; McIntyre, Peter B; Melack, John M; Montoya, Mariana; Oberdorff, Thierry; Paiva, Rodrigo; Perez, Guillaume; Rappazzo, Brendan H; Steinschneider, Scott; Torres, Sandra; Varese, Mariana; Walter, M Todd; Wu, Xiaojian; Xue, Yexiang; Zapata-Ríos, Xavier E; Gomes, Carla P.
Afiliação
  • Flecker AS; Department of Ecology and Evolutionary Biology, Cornell University, Ithaca, NY 14853, USA.
  • Shi Q; Institute for Computational Sustainability, Cornell University, Ithaca, NY 14853, USA.
  • Almeida RM; Department of Ecology and Evolutionary Biology, Cornell University, Ithaca, NY 14853, USA.
  • Angarita H; Department of Natural Resources and the Environment, Cornell University, Ithaca, NY 14853, USA.
  • Gomes-Selman JM; Northern Andes and South Central America Conservation Program, The Nature Conservancy, Bogotá 110231, Colombia.
  • García-Villacorta R; Stockholm Environment Institute Latin America, Bogotá 110231, Colombia.
  • Sethi SA; Department of Biology, Stanford University, Palo Alto, CA 94305, USA.
  • Thomas SA; Department of Computer Science, Stanford University, Palo Alto, CA 94305, USA.
  • Poff NL; Department of Ecology and Evolutionary Biology, Cornell University, Ithaca, NY 14853, USA.
  • Forsberg BR; Centro Peruano para la Biodiversidad y Conservación, Iquitos 16001, Perú.
  • Heilpern SA; Department of Natural Resources and the Environment, Cornell University, Ithaca, NY 14853, USA.
  • Hamilton SK; School of Natural Resources, University of Nebraska, Lincoln, NE 68583, USA.
  • Abad JD; Department of Biology, Colorado State University, Fort Collins, CO 80523, USA.
  • Anderson EP; Institute for Applied Ecology, University of Canberra, Bruce, ACT 2617, Australia.
  • Barros N; National Institute of Amazonian Research, Manaus 69060-001, Brazil.
  • Bernal IC; Vermont Department of Environmental Conservation, Montpelier, VT 05620, USA.
  • Bernstein R; Department of Natural Resources and the Environment, Cornell University, Ithaca, NY 14853, USA.
  • Cañas CM; Department of Ecology, Evolution and Environmental Biology, Columbia University, New York, NY 10027, USA.
  • Dangles O; W.K. Kellogg Biological Station and Department of Integrative Biology, Michigan State University, Hickory Corners, MI 49060, USA.
  • Encalada AC; Cary Institute of Ecosystem Studies, Millbrook, NY 12545, USA.
  • Fleischmann AS; Centro de Investigación y Tecnología del Agua, Universidad de Ingeniería y Tecnología, Lima 15063, Peru.
  • Goulding M; Department of Earth and Environment and Institute of Environment, Florida International University, Miami, FL 33199, USA.
  • Higgins J; Department of Biology, Federal University of Juiz de Fora, Juiz de Fora 36036-900, Brazil.
  • Jézéquel C; Departamento de Geología, Escuela Politecnica Nacional, Quito 170525, Ecuador.
  • Larson EI; Institute for Computational Sustainability, Cornell University, Ithaca, NY 14853, USA.
  • McIntyre PB; Department of Computer Science, Cornell University, Ithaca, NY 14853, USA.
  • Melack JM; Wildlife Conservation Society Peru, Lima 15048, Peru.
  • Montoya M; Centre d'Ecologie Fonctionnelle et Evolutive, Université de Montpellier, UMR 5175, CNRS, Université Paul Valéry Montpellier, EPHE, IRD, F-34293 Montpellier, France.
  • Oberdorff T; Laboratorio de Ecología Acuática, Instituto BIOSFERA, Universidad San Francisco de Quito, Quito 170150, Ecuador.
  • Paiva R; Institute of Hydraulic Research, Federal University of Rio Grande do Sul, Porto Alegre 91501-970, Brazil.
  • Perez G; Wildlife Conservation Society, New York, NY 10460, USA.
  • Rappazzo BH; The Nature Conservancy, Arlington, VA 22203 USA.
  • Steinschneider S; UMR EDB (Laboratoire Évolution et Diversité Biologique), CNRS 5174, IRD253, UPS, F-31062 Toulouse, France.
  • Torres S; Department of Ecology and Evolutionary Biology, Cornell University, Ithaca, NY 14853, USA.
  • Varese M; Institute for Culture and Environment, Alaska Pacific University, Anchorage, AK 99508, USA.
  • Walter MT; Department of Natural Resources and the Environment, Cornell University, Ithaca, NY 14853, USA.
  • Wu X; Bren School of Environmental Science and Management, University of California at Santa Barbara, Santa Barbara, CA 93106, USA.
  • Xue Y; Wildlife Conservation Society Peru, Lima 15048, Peru.
  • Zapata-Ríos XE; UMR EDB (Laboratoire Évolution et Diversité Biologique), CNRS 5174, IRD253, UPS, F-31062 Toulouse, France.
  • Gomes CP; Institute of Hydraulic Research, Federal University of Rio Grande do Sul, Porto Alegre 91501-970, Brazil.
Science ; 375(6582): 753-760, 2022 02 18.
Article em En | MEDLINE | ID: mdl-35175810
Proposed hydropower dams at more than 350 sites throughout the Amazon require strategic evaluation of trade-offs between the numerous ecosystem services provided by Earth's largest and most biodiverse river basin. These services are spatially variable, hence collective impacts of newly built dams depend strongly on their configuration. We use multiobjective optimization to identify portfolios of sites that simultaneously minimize impacts on river flow, river connectivity, sediment transport, fish diversity, and greenhouse gas emissions while achieving energy production goals. We find that uncoordinated, dam-by-dam hydropower expansion has resulted in forgone ecosystem service benefits. Minimizing further damage from hydropower development requires considering diverse environmental impacts across the entire basin, as well as cooperation among Amazonian nations. Our findings offer a transferable model for the evaluation of hydropower expansion in transboundary basins.

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article