@Article{Aubry-Kientz_etal2019,
author="Aubry-Kientz, M.
and Rossi, V.
and Cornu, G.
and Wagner, F.
and Herault, B.",
title="Temperature rising would slow down tropical forest dynamic in the Guiana Shield",
journal="Scientific Reports",
year="2019",
publisher="Nature Publishing Group",
volume="9",
pages="10235",
optkeywords="article",
optkeywords="biomass",
optkeywords="climate change",
optkeywords="controlled study",
optkeywords="diagnostic test accuracy study",
optkeywords="driver",
optkeywords="human",
optkeywords="joint",
optkeywords="mortality rate",
optkeywords="precipitation",
optkeywords="prediction",
optkeywords="sensitivity analysis",
optkeywords="simulation",
optkeywords="statistics",
optkeywords="tree growth",
optkeywords="tropical rain forest",
optkeywords="water stress",
abstract="Increasing evidence shows that the functioning of the tropical forest biome is intimately related to the climate variability with some variables such as annual precipitation, temperature or seasonal water stress identified as key drivers of ecosystem dynamics. How tropical tree communities will respond to the future climate change is hard to predict primarily because several demographic processes act together to shape the forest ecosystem general behavior. To overcome this limitation, we used a joint individual-based model to simulate, over the next century, a tropical forest community experiencing the climate change expected in the Guiana Shield. The model is climate dependent: temperature, precipitation and water stress are used as predictors of the joint growth and mortality rates. We ran simulations for the next century using predictions of the IPCC 5AR, building three different climate scenarios (optimistic RCP2.6, intermediate, pessimistic RCP8.5) and a control (current climate). The basal area, above-ground fresh biomass, quadratic diameter, tree growth and mortality rates were then computed as summary statistics to characterize the resulting forest ecosystem. Whatever the scenario, all ecosystem process and structure variables exhibited decreasing values as compared to the control. A sensitivity analysis identified the temperature as the strongest climate driver of this behavior, highlighting a possible temperature-driven drop of 40\% in average forest growth. This conclusion is alarming, as temperature rises have been consensually predicted by all climate scenarios of the IPCC 5AR. Our study highlights the potential slow-down danger that tropical forests will face in the Guiana Shield during the next century. {\textcopyright} 2019, The Author(s).",
optnote="exported from refbase (http://php.ecofog.gf/refbase/show.php?record=878), last updated on Tue, 20 Aug 2019 14:19:45 -0300",
issn="20452322 (Issn)",
doi="10.1038/s41598-019-46597-8",
opturl="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85069454312&doi=10.1038\%2fs41598-019-46597-8&partnerID=40&md5=6e757707be468ab89294c24e855b9189",
file=":http://php.ecofog.gf/refbase/files/aubry-kientz/2019/878\textit{Aubry-Kientz}etal2019.pdf:PDF"
}