Abstract

Abstract. Terrestrial carbon and water cycles are interactively linked at various spatial and temporal scales. Evapotranspiration (ET) plays a key role in the terrestrial water cycle, altering carbon sequestration of terrestrial ecosystems. The study of ET and its response to climate and vegetation changes is critical in China because water availability is a limiting factor for the functioning of terrestrial ecosystems in vast arid and semiarid regions. To constrain uncertainties in ET estimation, the process-based Boreal Ecosystem Productivity Simulator (BEPS) model was employed in conjunction with a newly developed leaf area index (LAI) data set, MODIS land cover, meteorological, and soil data to simulate daily ET and water yield at a spatial resolution of 500 m over China for the period from 2000 to 2010. The spatial and temporal variations of ET and water yield were analyzed. The influences of climatic factors (temperature and precipitation) and vegetation (land cover types and LAI) on these variations were assessed. Validations against ET measured at five ChinaFLUX sites showed that the BEPS model was able to simulate daily and annual ET well at site scales. Simulated annual ET exhibited a distinguishable southeast to northwest decreasing gradient, corresponding to climate conditions and vegetation types. It increased with the increase of LAI in 74% of China's landmass and was positively correlated with temperature in most areas of southwest, south, east, and central China. The correlation between annual ET and precipitation was positive in the arid and semiarid areas of northwest and north China, but negative in the Tibetan Plateau and humid southeast China. The national annual ET varied from 345.5 mm in 2001 to 387.8 mm in 2005, with an average of 369.8 mm during the study period. The overall rate of increase, 1.7 mm yr−1 (R2 = 0.18, p = 0.19), was mainly driven by the increase of total ET in forests. During 2006–2009, precipitation and LAI decreased widely and consequently caused a detectable decrease in national total ET. Annual ET increased over 62.2% of China's landmass, especially in the cropland areas of the southern Haihe River basin, most of the Huaihe River basin, and the southeastern Yangtze River basin. It decreased in parts of northeast, north, northwest, south China, especially in eastern Qinghai-Tibetan Plateau, the south of Yunnan Province, and Hainan Province. Reduction in precipitation and increase in ET caused vast regions in China, especially the regions south of Yangtze River, to experience significant decreases in water yield, while some sporadically distributed areas experienced increases in water yield. This study shows that the terrestrial water cycles in China's terrestrial ecosystems appear to have been intensified by recent climatic variability and human induced vegetation changes.

Highlights

  • The terrestrial hydrological cycle is essential for the functioning and sustainability of earth systems (Hutjes et al, 1998)

  • When data at all sites lumped together, the Boreal Ecosystem Productivity Simulator (BEPS) model explained a significant proportion of the variation (R2 = 0.66, p < 0.0001) in the daily ET (Fig. 4)

  • The BEPS model was employed in conjunction with the newly developed data set of leaf area index (LAI) to simulate ET and water yield in China at a spatial resolution of 500 m, from 2000 to 2010

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Summary

Introduction

The terrestrial hydrological cycle is essential for the functioning and sustainability of earth systems (Hutjes et al, 1998). Accurate estimation of the spatial and temporal variations in ET is critical for better understanding of the interactions between the atmosphere and land surface, and improving water resource management and drought assessment under climate change (Jung et al, 2010; Yuan et al, 2010; Fisher et al, 2011; Yan et al, 2012; Zeng et al, 2012). ET is one of the most difficult components of the terrestrial water cycle to estimate accurately because of land surface heterogeneity and numerous controlling factors, including climate, plant biophysics, soil properties, topography, and others (Dirmeyer et al, 2006; Mu et al, 2007; Yuan et al, 2010)

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