author = "Wagner, Fabien Hubert and Rossi, Vivien and Aubry-Kientz, 
                         M{\'e}laine and Bonal, Damien and Dalitz, Helmut and Gliniars, 
                         Robert and Stahl, Cl{\'e}ment and Trabucco, Antonio and 
                         H{\'e}rault, Bruno",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and 
                         {Universit{\'e} de Yaound{\'e}} and {Universit{\'e} des 
                         Antilles et de la Guyane} and INRA, Champenoux, France and 
                         {University of Hohenheim} and {University of Hohenheim} and Cirad, 
                         UMR 93 ‘‘Ecologie des Foreˆ ts de Guyane,’’ Kourou, France and 
                         Euro-Mediterranean Centre for Climate Change, Sassari, Italy; 
                         Division of Forest, Nature, and Landscape, KU Leuven, Leuven, 
                         Belgium and Cirad, UMR 93 Ecologie des For{\^e}ts de Guyane, 
                         Kourou, France",
                title = "Pan-tropical analysis of climate effects on seasonal tree growth",
              journal = "PLoS One",
                 year = "2014",
               volume = "9",
               number = "3",
                pages = "15pp",
                month = "Mar.",
             keywords = "climate, tropical forest, tree growth.",
             abstract = "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.",
                  doi = "10.1371/journal.pone.0092337",
                  url = "http://dx.doi.org/10.1371/journal.pone.0092337",
                 issn = "1932-6203",
                label = "scopus 2014-05 WagnerRABDGSTH:2014:PaAnCl",
             language = "en",
           targetfile = "journal.pone.0092337.pdf",
        urlaccessdate = "26 nov. 2020"