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<identifier>oai:HAL:hal-01032181v1</identifier>
<datestamp>2018-01-11</datestamp>
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<metadata><dc>
<publisher>HAL CCSD</publisher>
<title lang=en>Modeling water availability for trees in tropical forests</title>
<creator>Wagner, Fabien</creator>
<creator>Hérault, Bruno</creator>
<creator>Stahl, Clement</creator>
<creator>Bonal, Damien</creator>
<creator>Rossi, Vivien</creator>
<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>Ecologie et Ecophysiologie Forestières (EEF) ; Institut National de la Recherche Agronomique (INRA) - Université de Lorraine (UL)</contributor>
<contributor>FRB</contributor>
<description> </description>
<source>ISSN: 0168-1923</source>
<source>Agricultural and Forest Meteorology</source>
<publisher>Elsevier Masson</publisher>
<identifier>hal-01032181</identifier>
<identifier>https://hal.archives-ouvertes.fr/hal-01032181</identifier>
<source>https://hal.archives-ouvertes.fr/hal-01032181</source>
<source>Agricultural and Forest Meteorology, Elsevier Masson, 2011, 151 (9), pp.1202-1213. 〈10.1016/j.agrformet.2011.04.012〉</source>
<identifier>DOI : 10.1016/j.agrformet.2011.04.012</identifier>
<relation>info:eu-repo/semantics/altIdentifier/doi/10.1016/j.agrformet.2011.04.012</relation>
<language>en</language>
<subject lang=en>water balance model</subject>
<subject lang=en>amazonian rainforest</subject>
<subject lang=en>time domain reflectometer</subject>
<subject lang=en>bayesian inference</subject>
<subject lang=en>tree drought stress</subject>
<subject>[SDV.SA.SF] Life Sciences [q-bio]/Agricultural sciences/Silviculture, forestry</subject>
<type>info:eu-repo/semantics/article</type>
<type>Journal articles</type>
<description lang=en>Modeling soil water availability for tropical trees is a prerequisite to predicting the future impact of climate change on tropical forests. In this paper we develop a discrete-time deterministic water balance model adapted to tropical rainforest climates, and we validate it on a large dataset that includes micrometeorological and soil parameters along a topographic gradient in a lowland forest of French Guiana. The model computes daily water fluxes (rainfall interception, drainage, tree transpiration and soil plus understorey evapotranspiration) and soil water content using three input variables: daily precipitation, potential evapotranspiration and solar radiation. A novel statistical approach is employed that uses Time Domain Reflectometer (TDR) soil moisture data to estimate water content at permanent wilting point and at field capacity, and root distribution. Inaccuracy of the TDR probes and other sources of uncertainty are taken into account by model calibration through a Bayesian framework. Model daily output includes relative extractable water, REW, i.e. the daily available water standardized by potential available water. The model succeeds in capturing temporal variations in REW regardless of topographic context. The low Root Mean Square Error of Predictions suggests that the model captures the most important drivers of soil water dynamics, i.e. water refilling and root water extraction. Our model thus provides a useful tool to explore the response of tropical forests to climate scenarios of changing rainfall regime and intensity.</description>
<date>2011</date>
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