A hierarchical, multivariate meta-analysis approach to synthesising global change experiments.

Ogle, Kiona; Liu, Yao; Vicca, Sara; Bahn, Michael

Ogle, Kiona; Liu, Yao; Vicca, Sara; Bahn, Michael.

Afiliación

Ogle K; School of Informatics, Computing, and Cyber Systems, Northern Arizona University, Flagstaff, AZ, 86011, USA.
Liu Y; Environmental Sciences Division and Climate Change Science Institute, Oak Ridge National Laboratory, Oak Ridge, TN, 37831, USA.
Vicca S; Department of Geography and Environmental Sciences, Northumbria University, Newcastle upon Tyne, NE1 8ST, UK.
Bahn M; Department of Biology, University of Antwerp, Wilrijk, 2610, Belgium.

New Phytol ; 231(6): 2382-2394, 2021 09.

Article en En | MEDLINE | ID: mdl-34137037

Asunto(s)

Cambio Climático; Ecosistema; Teorema de Bayes; Dióxido de Carbono; Suelo

Palabras clave

Bayesian meta-analysis; climate warming; elevated CO2; global change experiments; hierarchical model; incomplete reporting; multivariate meta-analysis

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Cambio Climático / Ecosistema Tipo de estudio: Prognostic_studies / Systematic_reviews Idioma: En Revista: New Phytol Asunto de la revista: BOTANICA Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos

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