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The land–atmosphere water flux in the tropics
Authors:JOSHUA B. FISHER  YADVINDER MALHI  DAMIEN BONAL  HUMBERTO R. DA ROCHA  ALESSANDRO C. DE ARAÚJO  MINORU GAMO  MICHAEL L. GOULDEN  TAKASHI HIRANO  ALFREDO R. HUETE  HIROAKI KONDO  TOMO'OMI KUMAGAI  HENRY W. LOESCHER  SCOTT MILLER  ANTONIO D. NOBRE  YANN NOUVELLON  STEVEN F. OBERBAUER  SAMREONG PANUTHAI  OLIVIER ROUPSARD  SCOTT SALESKA  KATSUNORI TANAKA  NOBUAKI TANAKA  KEVIN P. TU  CELSO VON RANDOW
Affiliation:Environmental Change Institute, School of Geography and the Environment, Oxford University, Oxford OX1 3QY, UK,;Ecophysiologie Forestière, INRA Kourou –UMR Ecofog, BP 709, 97387 Kourou cedex, French Guiana,;Instituto de Astronomia, Geofísica e Ciências Atmosféricas, Universidade de São Paulo Rua do Matão 1226, Sao Paulo 05508-900, Brazil,;Instituto Nacional de Pesquisas da Amazônia, Manaus, Amazonas, Brazil,;National Institute of Advanced Industrial Science and Technology, Tsukuba, Ibaraki 305-8569, Japan,;Department of Earth System Science, University of California at Irvine, Irvine, CA 92697-3100, USA,;Graduate School of Agriculture, Hokkaido University, Sapporo 060-8589, Japan,;Department of Soil, Water and Environmental Science, University of Arizona, Tucson, AZ 85721, USA,;Shiiba Research Forest, Kyushu University, Shiiba-son, Miyazaki 883-0402, Japan,;Department of Forest Science, Oregon State University, Corvallis, OR, USA,;State University of New York at Albany, ASRC 251, Albany, NY 12203, USA,;Instituto Nacional de Pesquisas na Amazonia, São Josédos Campos, Sao Paulo 12201-970, Brazil,;CIRAD, Avenue d'Agropolis, 34398 Montpellier Cedex 5, France,;Department of Biological Sciences, Florida International University, Miami, FL, USA,;National Park, Wildlife and Plant Conservation Department, Thailand,;Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ 85721, USA,;Frontier Research Center for Global Change, Japan Agency for Marine-Earth Science &Technology, Yokohama, Kanagawa 236-0001, Japan,;University Forest in Aichi, Graduate School of Agricultural and Life Sciences, The University of Tokyo, 11-44 Goizuka, Seto City, Aichi 489-0031, Japan,;Department of Integrative Biology, University of California at Berkeley, Berkeley, CA 94709, USA,;Instituto Nacional de Pesquisas Espaciais, Cachoeira Paulista, SP 12630-000, Brazil
Abstract:Tropical vegetation is a major source of global land surface evapotranspiration, and can thus play a major role in global hydrological cycles and global atmospheric circulation. Accurate prediction of tropical evapotranspiration is critical to our understanding of these processes under changing climate. We examined the controls on evapotranspiration in tropical vegetation at 21 pan-tropical eddy covariance sites, conducted a comprehensive and systematic evaluation of 13 evapotranspiration models at these sites, and assessed the ability to scale up model estimates of evapotranspiration for the test region of Amazonia. Net radiation was the strongest determinant of evapotranspiration (mean evaporative fraction was 0.72) and explained 87% of the variance in monthly evapotranspiration across the sites. Vapor pressure deficit was the strongest residual predictor (14%), followed by normalized difference vegetation index (9%), precipitation (6%) and wind speed (4%). The radiation-based evapotranspiration models performed best overall for three reasons: (1) the vegetation was largely decoupled from atmospheric turbulent transfer (calculated from Ω decoupling factor), especially at the wetter sites; (2) the resistance-based models were hindered by difficulty in consistently characterizing canopy (and stomatal) resistance in the highly diverse vegetation; (3) the temperature-based models inadequately captured the variability in tropical evapotranspiration. We evaluated the potential to predict regional evapotranspiration for one test region: Amazonia. We estimated an Amazonia-wide evapotranspiration of 1370 mm yr−1, but this value is dependent on assumptions about energy balance closure for the tropical eddy covariance sites; a lower value (1096 mm yr−1) is considered in discussion on the use of flux data to validate and interpolate models.
Keywords:Amazon    eddy covariance    evaporation    evapotranspiration    ISLSCP-II    LBA    model    remote sensing    tropical
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