The land-atmosphere water flux in the tropics

被引:193
作者
Fisher, Joshua B. [1 ]
Malhi, Yadvinder [1 ]
Bonal, Damien [2 ]
Da Rocha, Humberto R. [3 ]
De Araujo, Alessandro C. [4 ]
Gamo, Minoru [5 ]
Goulden, Michael L. [6 ]
Hirano, Takashi [7 ]
Huete, Alfredo R. [8 ]
Kondo, Hiroaki [5 ]
Kumagai, Tomo'Omi [9 ]
Loescher, Henry W. [10 ]
Miller, Scott [11 ]
Nobre, Antonio D. [12 ]
Nouvellon, Yann [14 ]
Oberbauer, Steven F. [15 ]
Panuthai, Samreong [13 ]
Roupsard, Olivier [14 ]
Saleska, Scott [16 ]
Tanaka, Katsunori [17 ]
Tanaka, Nobuaki [18 ]
Tu, Kevin P. [19 ]
Von Randow, Celso [20 ]
机构
[1] Univ Oxford, Environm Change Inst, Sch Geog & Environm, Oxford OX1 3QY, England
[2] INRA, UMR Ecofog, Kourou 97387, French Guiana
[3] Univ Sao Paulo, Inst Astron Geofis & Ciencias Atmosfer, BR-05508900 Sao Paulo, Brazil
[4] Inst Nacl de Pesquisas da Amazonia, Manaus, Amazonas, Brazil
[5] Natl Inst Adv Ind Sci & Technol, Tsukuba, Ibaraki 3058569, Japan
[6] Univ Calif Irvine, Dept Earth Syst Sci, Irvine, CA 92697 USA
[7] Hokkaido Univ, Grad Sch Agr, Sapporo, Hokkaido 0608589, Japan
[8] Univ Arizona, Dept Soil Water & Environm Sci, Tucson, AZ 85721 USA
[9] Kyushu Univ, Miyazaki 8830402, Japan
[10] Oregon State Univ, Dept Forest Sci, Corvallis, OR 97331 USA
[11] SUNY Albany, ASRC 251, Albany, NY 12203 USA
[12] Inst Nacl de Pesquisas da Amazonia, BR-12201970 Sao Paulo, Brazil
[13] Natl Pk Wildlife & Plant Conservat Dept, Bangkok 10900, Thailand
[14] CIRAD, F-34398 Montpellier 5, France
[15] Florida Int Univ, Dept Biol Sci, Miami, FL 33199 USA
[16] Univ Arizona, Dept Ecol & Evolutionary Biol, Tucson, AZ 85721 USA
[17] Japan Agcy Marine Earth Sci & Technol, Frontier Res Ctr Global Change, Kanagawa 2360001, Japan
[18] Univ Tokyo, Univ Forest Aichi, Grad Sch Agr & Life Sci, Seto City, Aichi 4890031, Japan
[19] Univ Calif Berkeley, Dept Integrat Biol, Berkeley, CA 94709 USA
[20] Inst Nacl Pesquisas Espaciais, BR-12630000 Cachoeira Paulista, SP, Brazil
基金
美国国家科学基金会; 英国自然环境研究理事会;
关键词
Amazon; eddy covariance; evaporation; evapotranspiration; ISLSCP-II; LBA; model; remote sensing; tropical; AMAZONIAN RAIN-FOREST; ENERGY-BALANCE; CARBON-DIOXIDE; SEASONAL-VARIATIONS; SOIL-WATER; EVAPOTRANSPIRATION; CLIMATE; TRANSPIRATION; EVAPORATION; DYNAMICS;
D O I
10.1111/j.1365-2486.2008.01813.x
中图分类号
X176 [生物多样性保护];
学科分类号
090705 ;
摘要
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 X 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.
引用
收藏
页码:2694 / 2714
页数:21
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