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<datestamp>2018-01-11</datestamp>
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<publisher>HAL CCSD</publisher>
<title lang=en>Pan-Tropical Analysis of Climate Effects on Seasonal Tree Growth</title>
<creator>Wagner, Fabien</creator>
<creator>Rossi, Vivien</creator>
<creator>Aubry-Kientz, Melaine</creator>
<creator>Bonal, Damien</creator>
<creator>Dalitz, Helmut</creator>
<creator>Gliniars, Robert</creator>
<creator>Stahl, Clement</creator>
<creator>Trabucco, Antonio</creator>
<creator>Herault, Bruno</creator>
<contributor>Remote Sensing Div, Sao Jose Dos Campos ; Instituto Nacional de Pesquisas Espaciais (INPE)</contributor>
<contributor>Ecologie des forêts de Guyane (ECOFOG) ; Centre de Coopération Internationale en Recherche Agronomique pour le Développement (CIRAD) - Institut National de la Recherche Agronomique (INRA) - Université des Antilles et de la Guyane (UAG) - AgroParisTech - Centre National de la Recherche Scientifique (CNRS)</contributor>
<contributor>UR Biens & Serv Ecosyst Forestiers Trop ; Centre de Coopération Internationale en Recherche Agronomique pour le Développement (CIRAD)</contributor>
<contributor>UMI Modelisat Math & Informat Syst Complexes ; Université de Yaoundé</contributor>
<contributor>Ecologie et Ecophysiologie Forestières (EEF) ; Institut National de la Recherche Agronomique (INRA) - Université de Lorraine (UL)</contributor>
<contributor>Inst Bot ; University of Hohenheim</contributor>
<contributor>UMR Syst Elevage Milieux Mediterraneens & Trop ; Centre de Coopération Internationale en Recherche Agronomique pour le Développement (CIRAD)</contributor>
<contributor>Euromediterranean Center for Climate Change (CMCC)</contributor>
<contributor>Div Forest Nat & Landscape ; Université Catholique de Louvain (UCL)</contributor>
<contributor>Climfor (Fondation pour la Recherche sur la Biodiversite); Guyasim (European structural fundings, PO-Feder); Fapesp (Fundacao de Amparo a Pesquisa do Estado de Sao Paulo) [13/14520-6]; Agence Nationale de la Recherche (CEBA) [ANR-10-LABX-0025]</contributor>
<source>ISSN: 1932-6203</source>
<source>PLoS ONE</source>
<publisher>Public Library of Science</publisher>
<identifier>hal-01268529</identifier>
<identifier>https://hal.archives-ouvertes.fr/hal-01268529</identifier>
<identifier>https://hal.archives-ouvertes.fr/hal-01268529/document</identifier>
<identifier>https://hal.archives-ouvertes.fr/hal-01268529/file/journal.pone.0092337.PDF</identifier>
<source>https://hal.archives-ouvertes.fr/hal-01268529</source>
<source>PLoS ONE, Public Library of Science, 2014, 9 (3), 〈10.1371/journal.pone.0092337〉</source>
<identifier>DOI : 10.1371/journal.pone.0092337</identifier>
<relation>info:eu-repo/semantics/altIdentifier/doi/10.1371/journal.pone.0092337</relation>
<identifier>PRODINRA : 259504</identifier>
<language>en</language>
<subject lang=en>RAIN-FOREST TREE</subject>
<subject lang=en>SEMI-DECIDUOUS FOREST</subject>
<subject lang=en>AMAZON FOREST</subject>
<subject lang=en>CARBON DYNAMICS</subject>
<subject lang=en>FRENCH-GUIANA</subject>
<subject lang=en>DRY SEASON</subject>
<subject lang=en>INTERANNUAL VARIABILITY</subject>
<subject lang=en>ARAUCARIA-ANGUSTIFOLIA</subject>
<subject lang=en>EXPERIMENTAL DROUGHT</subject>
<subject lang=en>DENDROMETER BANDS</subject>
<subject>[SDV] Life Sciences [q-bio]</subject>
<type>info:eu-repo/semantics/article</type>
<type>Journal articles</type>
<description lang=en>Climate models predict a range of changes in tropical forest regions, including increased average temperatures, decreased total precipitation, reduced soil moisture and alterations in seasonal climate variations. These changes are directly related to the increase in anthropogenic greenhouse gas concentrations, primarily CO2. Assessing seasonal forest growth responses to climate is of utmost importance because woody tissues, produced by photosynthesis from atmospheric CO2, water and light, constitute the main component of carbon sequestration in the forest ecosystem. In this paper, we combine intra-annual tree growth measurements from published tree growth data and the corresponding monthly climate data for 25 pan-tropical forest sites. This meta-analysis is designed to find the shared climate drivers of tree growth and their relative importance across pan-tropical forests in order to improve carbon uptake models in a global change context. Tree growth reveals significant intra-annual seasonality at seasonally dry sites or in wet tropical forests. Of the overall variation in tree growth, 28.7% was explained by the site effect, i.e. the tree growth average per site. The best predictive model included four climate variables: precipitation, solar radiation (estimated with extrasolar radiation reaching the atmosphere), temperature amplitude and relative soil water content. This model explained more than 50% of the tree growth variations across tropical forests. Precipitation and solar radiation are the main seasonal drivers of tree growth, causing 19.8% and 16.3% of the tree growth variations. Both have a significant positive association with tree growth. These findings suggest that forest productivity due to tropical tree growth will be reduced in the future if climate extremes, such as droughts, become more frequent.</description>
<date>2014</date>
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