A mid-century ecological forecast with partitioned uncertainty predicts increases in loblolly pine forest productivity.

Thomas, R Quinn; Jersild, Annika L; Brooks, Evan B; Thomas, Valerie A; Wynne, Randolph H

Thomas, R Quinn; Jersild, Annika L; Brooks, Evan B; Thomas, Valerie A; Wynne, Randolph H.

Afiliação

Thomas RQ; Department of Forest Resources and Environmental Conservation, Virginia Tech, Blacksburg, Virginia, 24061, USA.
Jersild AL; Department of Forest Resources and Environmental Conservation, Virginia Tech, Blacksburg, Virginia, 24061, USA.
Brooks EB; Department of Forest Resources and Environmental Conservation, Virginia Tech, Blacksburg, Virginia, 24061, USA.
Thomas VA; Department of Forest Resources and Environmental Conservation, Virginia Tech, Blacksburg, Virginia, 24061, USA.
Wynne RH; Department of Forest Resources and Environmental Conservation, Virginia Tech, Blacksburg, Virginia, 24061, USA.

Ecol Appl ; 28(6): 1503-1519, 2018 09.

Article em En | MEDLINE | ID: mdl-29999562

Assuntos

Biomassa; Mudança Climática; Florestas; Modelos Teóricos; Pinus taeda/crescimento & desenvolvimento; Previsões; Sudeste dos Estados Unidos; Incerteza

Palavras-chave

Pinus taeda; carbon cycling; climate change; ecological forecasting; forest productivity; hierarchical Bayesian modeling; uncertainty

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Mudança Climática / Florestas / Biomassa / Pinus taeda / Modelos Teóricos Tipo de estudo: Prognostic_studies / Risk_factors_studies País como assunto: America do norte Idioma: En Ano de publicação: 2018 Tipo de documento: Article

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