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Reducing greenhouse gas emissions of Amazon hydropower with strategic dam planning.
Almeida, Rafael M; Shi, Qinru; Gomes-Selman, Jonathan M; Wu, Xiaojian; Xue, Yexiang; Angarita, Hector; Barros, Nathan; Forsberg, Bruce R; García-Villacorta, Roosevelt; Hamilton, Stephen K; Melack, John M; Montoya, Mariana; Perez, Guillaume; Sethi, Suresh A; Gomes, Carla P; Flecker, Alexander S.
Afiliación
  • Almeida RM; Department of Ecology and Evolutionary Biology, Cornell University, Ithaca, NY, 14853, USA. rafaelmalmeida2@gmail.com.
  • Shi Q; Cornell University, Institute for Computational Sustainability, Ithaca, NY, 14853, USA.
  • Gomes-Selman JM; Department of Computer Science, Stanford University, Palo Alto, CA, 94305, USA.
  • Wu X; Cornell University, Institute for Computational Sustainability, Ithaca, NY, 14853, USA.
  • Xue Y; Microsoft AI & Research, Sunnyvale, CA, USA.
  • Angarita H; Cornell University, Institute for Computational Sustainability, Ithaca, NY, 14853, USA.
  • Barros N; Department of Computer Science, Purdue University, West Lafayette, IN, USA.
  • Forsberg BR; Stockholm Environment Institute Latin America, Bogota, 110231, Colombia.
  • García-Villacorta R; Department of Biology, Federal University of Juiz de Fora, Juiz de Fora, 36036-900, Brazil.
  • Hamilton SK; National Institute of Amazonian Research (INPA), Manaus, 69060-001, Brazil.
  • Melack JM; Department of Ecology and Evolutionary Biology, Cornell University, Ithaca, NY, 14853, USA.
  • Montoya M; W.K. Kellogg Biological Station and Department of Integrative Biology, Michigan State University, Hickory Corners, MI, 49060, USA.
  • Perez G; Cary Institute of Ecosystem Studies, Millbrook, NY, 12545, USA.
  • Sethi SA; Bren School of Environmental Science and Management, University of California at Santa Barbara, Santa Barbara, CA, 93106, USA.
  • Gomes CP; Wildlife Conservation Society Peru, Lima, 15048, Peru.
  • Flecker AS; Cornell University, Institute for Computational Sustainability, Ithaca, NY, 14853, USA.
Nat Commun ; 10(1): 4281, 2019 09 19.
Article en En | MEDLINE | ID: mdl-31537792

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Nat Commun Asunto de la revista: BIOLOGIA / CIENCIA Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Nat Commun Asunto de la revista: BIOLOGIA / CIENCIA Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos
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