@Article{WagnerRABDGSTH:2014:PaAnCl,
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 = "27 abr. 2024"
}