Improving predictions of tropical forest response to climate change through integration of field studies and ecosystem modeling.

Feng, Xiaohui; Uriarte, María; González, Grizelle; Reed, Sasha; Thompson, Jill; Zimmerman, Jess K; Murphy, Lora

Feng, Xiaohui; Uriarte, María; González, Grizelle; Reed, Sasha; Thompson, Jill; Zimmerman, Jess K; Murphy, Lora.

Afiliação

Feng X; Department of Ecology, Evolution & Environmental Biology, Columbia University, New York, NY, USA.
Uriarte M; Department of Ecology, Evolution & Environmental Biology, Columbia University, New York, NY, USA.
González G; International Institute of Tropical Forestry, United States Department of Agriculture Forest Service, Río Piedras, Puerto Rico.
Reed S; Southwest Biological Science Center, U.S. Geological Survey, Moab, UT, USA.
Thompson J; Department of Environmental Science, University of Puerto Rico, San Juan, Puerto Rico.
Zimmerman JK; Department of Environmental Science, University of Puerto Rico, San Juan, Puerto Rico.
Murphy L; Department of Ecology, Evolution & Environmental Biology, Columbia University, New York, NY, USA.

Glob Chang Biol ; 24(1): e213-e232, 2018 Jan.

Article em En | MEDLINE | ID: mdl-28804989

Assuntos

Mudança Climática; Florestas; Modelos Biológicos; Clima Tropical; Teorema de Bayes; Biomassa; Carbono; Ciclo do Carbono; Folhas de Planta; Porto Rico

Palavras-chave

GPP; NPP; carbon flux; climate change; ecosystem demography model; sensitivity analysis; tropical forest; variance decomposition

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Clima Tropical / Mudança Climática / Florestas / Modelos Biológicos Tipo de estudo: Prognostic_studies / Risk_factors_studies País/Região como assunto: Caribe / Puerto rico Idioma: En Revista: Glob Chang Biol Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Estados Unidos País de publicação: Reino Unido

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