李香兰等：Estimation of evapotranspiration over the terrestrial ecosystems in China

Estimation of evapotranspiration over the terrestrial ecosystems in China
作者:Li, XL (Li, Xianglan)[ 1,2 ] ; Liang, SL (Liang, Shunlin)[ 1,2,3 ] ; Yuan, WP (Yuan, Wenping)[ 1,2 ] ; Yu, GR (Yu, Guirui)[ 4 ] ; Cheng, X (Cheng, Xiao)[ 1,2 ] ; Chen, Y (Chen, Yang)[ 1,2 ] ; Zhao, TB (Zhao, Tianbao)[ 5 ] ; Feng, JM (Feng, Jinming)[ 2,5 ] ; Ma, ZG (Ma, Zhuguo)[ 5 ] ; Ma, MG (Ma, Mingguo)[ 6 ]  ; Liu, SM (Liu, Shaomin)[ 7 ] ; Chen, JQ (Chen, Jiquan)[ 8 ] ; Shao, CL (Shao, Changliang)[ 9 ] ; Li, SG (Li, Shenggong)[ 10 ] ; Zhang, XD (Zhang, Xudong)[ 11 ] ; Zhang, ZQ (Zhang, Zhiqiang)[ 12 ] ; Sun, G (Sun, Ge)[ 13 ] ; Chen, SP (Chen, Shiping)[ 9 ] ; Ohta, T (Ohta, Takeshi)[ 14 ] ; Varlagin, A (Varlagin, Andrej)[ 15 ] ; Miyata, A (Miyata, Akira)[ 16 ] ; Takagi, K (Takagi, Kentaro)[ 17 ] ; Saiqusa, N (Saiqusa, Nobuko)[ 18 ] ; Kato, T (Kato, Tomomichi)[ 19 ]
ECOHYDROLOGY
卷: 7  期: 1  页: 139-149
DOI: 10.1002/eco.1341
出版年: FEB 2014

摘要
Quantifying regional evapotranspiration (ET) and environmental constraints are particularly important for understanding water and carbon cycles of terrestrial ecosystems. However, a large uncertainty in the regional estimation of ET still remains for the terrestrial ecosystems in China. This study used ET measurements of 34 eddy covariance sites within China and adjacent regions to examine the performance of the revised Remote Sensing-Penman Monteith (RS-PM) model over various ecosystem types including forests, grasslands, wetlands and croplands. No significant systematic error was found in the revised RS-PM model predictions, which explained 61% of the ET variations at all of the validation sites. Regional patterns of ET at a spatial resolution of 10x10km were quantified using a meteorology dataset from 753 meteorological stations, Modern Era Retrospective-analysis for Research and Applications (MERRA) reanalysis products and satellite data such as the Advanced Very High Resolution Radiometer (AVHRR) leaf area index. ET decreased from the southeast of China toward the northwest. Relatively high ET values were found in the southern China such as Yunnan, Hainan, Fujian and Guangdong Provinces, whereas low ET values occurred in northwestern China such as in the Xinjiang autonomous region. On average, the annual ET presented an increasing trend during the 1982-2009, with relatively low ET in 1985, 1993, 1997, 2000 and 2009. We found that the mean annual ET was higher than world average, ranging spatially between 484 and 521 mm yr(-1), with a mean value of 500 mm yr(-1), which accounted for approximately 56-83% of the world's total land-surface ET. Copyright (c) 2012 John Wiley & Sons, Ltd.

通讯作者地址: Liang, SL (通讯作者)
Univ Maryland, Dept Geog, College Pk, MD 20742 USA.
地址:
[ 1 ] Beijing Normal Univ, Chinese Acad Sci, Inst Remote Sensing Applicat, State Key Lab Remote Sensing Sci, Beijing 100875, Peoples R China
[ 2 ] Beijing Normal Univ, Coll Global Change & Earth Syst Sci, Beijing 100875, Peoples R China
[ 3 ] Univ Maryland, Dept Geog, College Pk, MD 20742 USA
[ 4 ] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Synth Res Ctr, Key Lab Ecosyst Network Observat & Modeling,Chine, Beijing 100101, Peoples R China
[ 5 ] Chinese Acad Sci, Inst Atmospher Phys, Key Lab Reg Climate Environm Res Temperate East A, Beijing 100029, Peoples R China
[ 6 ] Chinese Acad Sci, Cold & Arid Reg Environm & Engn Res Inst, Lanzhou 730000, Gansu, Peoples R China
[ 7 ] Beijing Normal Univ, Sch Geog, State Key Lab Remote Sensing Sci, Beijing 100875, Peoples R China
[ 8 ] Univ Toledo, Dept Environm Sci, Toledo, OH 43606 USA
[ 9 ] Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Change, Beijing 100093, Peoples R China
[ 10 ] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
[ 11 ] Chinese Acad Forestry, Inst Forestry Res, Beijing 100091, Peoples R China
[ 12 ] Beijing Forestry Univ, Coll Soil & Water Conservat, Beijing 100083, Peoples R China
[ 13 ] Eastern Forest Environm Threat Assessment Ctr, Southern Res Stn, Raleigh, NC 27606 USA
[ 14 ] Nagoya Univ, Grad Sch Bioagr Sci, Nagoya, Aichi 4648601, Japan
[ 15 ] Russian Acad Sci, AN Severtsov Inst Ecol & Evolut, Moscow 119071, Russia
[ 16 ] Natl Inst Agroenvironm Sci, Tsukuba, Ibaraki 3058604, Japan
[ 17 ] Hokkaido Univ, Field Sci Ctr Northern Biosphere, Teshio Expt Forest, Teshio 0982943, Japan
[ 18 ] Natl Inst Environm Studies, Ctr Global Environm Res, Tsukuba, Ibaraki 3058506, Japan
[ 19 ] Natl Inst Environm Studies, Tsukuba, Ibaraki 3058569, Japan