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Do dynamic global vegetation models capture the seasonality of carbon fluxes in the Amazon basin? A data-model intercomparison.
Restrepo-Coupe, Natalia; Levine, Naomi M; Christoffersen, Bradley O; Albert, Loren P; Wu, Jin; Costa, Marcos H; Galbraith, David; Imbuzeiro, Hewlley; Martins, Giordane; da Araujo, Alessandro C; Malhi, Yadvinder S; Zeng, Xubin; Moorcroft, Paul; Saleska, Scott R.
Affiliation
  • Restrepo-Coupe N; Plant Functional Biology and Climate Change Cluster, University of Technology Sydney, Sydney, NSW, Australia.
  • Levine NM; Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ, USA.
  • Christoffersen BO; Department of Biological Sciences, University of Southern California, Los Angeles, CA, USA.
  • Albert LP; Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA, USA.
  • Wu J; Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ, USA.
  • Costa MH; Earth and Environmental Sciences Division, Los Alamos National Laboratory, Los Alamos, NM, USA.
  • Galbraith D; Department of Atmospheric Sciences, University of Arizona, Tucson, AZ, USA.
  • Imbuzeiro H; Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ, USA.
  • Martins G; Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ, USA.
  • da Araujo AC; Biological, Environmental & Climate Sciences Department, Brookhaven National Lab, Upton, NY, USA.
  • Malhi YS; Department of Agricultural Engineering, Federal University of Vicosa, Vicosa, Brazil.
  • Zeng X; School of Geography, University of Leeds, Leeds, UK.
  • Moorcroft P; Department of Agricultural Engineering, Federal University of Vicosa, Vicosa, Brazil.
  • Saleska SR; Instituto Nacional de Pesquisas da Amazônia (INPA), Manaus, Brazil.
Glob Chang Biol ; 23(1): 191-208, 2017 01.
Article in En | MEDLINE | ID: mdl-27436068
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Climate Change / Forests / Carbon Cycle Type of study: Prognostic_studies Country/Region as subject: America do sul / Brasil Language: En Journal: Glob Chang Biol Year: 2017 Type: Article Affiliation country: Australia
Fulltext
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PubMed Links
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Climate Change / Forests / Carbon Cycle Type of study: Prognostic_studies Country/Region as subject: America do sul / Brasil Language: En Journal: Glob Chang Biol Year: 2017 Type: Article Affiliation country: Australia