Your browser doesn't support javascript.
loading
Greenhouse Gas Emissions from Reservoir Water Surfaces: A New Global Synthesis.
Deemer, Bridget R; Harrison, John A; Li, Siyue; Beaulieu, Jake J; DelSontro, Tonya; Barros, Nathan; Bezerra-Neto, José F; Powers, Stephen M; Dos Santos, Marco A; Vonk, J Arie.
Afiliação
  • Deemer BR; School of the Environment at Washington State University, in Vancouver.
  • Harrison JA; School of the Environment at Washington State University, in Vancouver.
  • Li S; Chongqing Institute of Green and Intelligent Technology at the Chinese Academy of Sciences, in Chongqing, China.
  • Beaulieu JJ; US Environmental Protection Agency's Office of Research and Development and National Risk Management Research Laboratory, in Cincinnati, Ohio.
  • DelSontro T; Department of Biological Sciences at the University of Québec at Montréal, in Canada, and was formerly at the Swiss Federal Institute of Aquatic Science and Technology (Eawag), Kastanienbaum, Switzerland.
  • Barros N; Institute of Biological Sciences at the Federal University of Juiz de Fora, in Minas Gerais, Brazil.
  • Bezerra-Neto JF; Institute of Biological Sciences at the Federal University of Minas Gerais, in Belo Horizonte, Minas Gerais, Brazil.
  • Powers SM; School of the Environment and the Center for Environmental Research, Education, and Outreach at Washington State University, in Pullman.
  • Dos Santos MA; Energy Planning Program, COPPE, and Centro de Tecnologia at the Federal University of Rio de Janeiro, in Brazil.
  • Vonk JA; Department of Aquatic Environmental Ecology of the Institute for Biodiversity and Ecosystem Dynamics at the University of Amsterdam, in The Netherlands.
Bioscience ; 66(11): 949-964, 2016 Nov 01.
Article em En | MEDLINE | ID: mdl-32801383
Palavras-chave
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2016 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2016 Tipo de documento: Article