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Has the Impact of Rising CO(2) on Plants been Exaggerated by Meta-Analysis of Free Air CO(2) Enrichment Studies?

Meta-analysis is extensively used to synthesize the results of free air CO(2) enrichment (FACE) studies to produce an average effect size, which is then used to model likely plant response to rising [CO(2)]. The efficacy of meta-analysis is reliant upon the use of data that characterizes the range o...

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Detalles Bibliográficos
Autores principales: Haworth, Matthew, Hoshika, Yasutomo, Killi, Dilek
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4971589/
https://www.ncbi.nlm.nih.gov/pubmed/27536310
http://dx.doi.org/10.3389/fpls.2016.01153
Descripción
Sumario:Meta-analysis is extensively used to synthesize the results of free air CO(2) enrichment (FACE) studies to produce an average effect size, which is then used to model likely plant response to rising [CO(2)]. The efficacy of meta-analysis is reliant upon the use of data that characterizes the range of responses to a given factor. Previous meta-analyses of the effect of FACE on plants have not incorporated the potential impact of reporting bias in skewing data. By replicating the methodology of these meta-analytic studies, we demonstrate that meta-analysis of FACE has likely exaggerated the effect size of elevated [CO(2)] on plants by 20 to 40%; having significant implications for predictions of food security and vegetation response to climate change. Incorporation of the impact of reporting bias did not affect the significance or the direction of the [CO(2)] effect.