Global patterns and climate drivers of water-use efficiency in   terrestrial ecosystems deduced from satellite-based datasets and carbon   cycle models

doi:10.1111/geb.12411

CORC > 北京大学 > 城市与环境学院

	Global patterns and climate drivers of water-use efficiency in terrestrial ecosystems deduced from satellite-based datasets and carbon cycle models
	Sun, Yan ; Piao, Shilong ; Huang, Mengtian ; Ciais, Philippe ; Zeng, Zhenzhong ; Cheng, Lei ; Li, Xiran ; Zhang, Xinping ; Mao, Jiafu ; Peng, Shushi ; Poulter, Benjamin ; Shi, Xiaoying ; Wang, Xuhui ; Wang, Ying-Ping ; Zeng, Hui
刊名	GLOBAL ECOLOGY AND BIOGEOGRAPHY
	2016
关键词	Climate drivers inherent water-use efficiency process-based model satellite-based datasets transpiration-based water-use efficiency water-use efficiency PLANT FUNCTIONAL TYPES STOMATAL CONDUCTANCE VEGETATION MODEL EDDY COVARIANCE BIOSPHERE MODEL NITROGEN MODIS CO2 EVAPOTRANSPIRATION CANOPY
DOI	10.1111/geb.12411
英文摘要	AimTo investigate how ecosystem water-use efficiency (WUE) varies spatially under different climate conditions, and how spatial variations in WUE differ from those of transpiration-based water-use efficiency (WUEt) and transpiration-based inherent water-use efficiency (IWUEt). LocationGlobal terrestrial ecosystems. MethodsWe investigated spatial patterns of WUE using two datasets of gross primary productivity (GPP) and evapotranspiration (ET) and four biosphere model estimates of GPP and ET. Spatial relationships between WUE and climate variables were further explored through regression analyses. ResultsGlobal WUE estimated by two satellite-based datasets is 1.90.1 and 1.8 +/- 0.6g C m(-2)mm(-1) lower than the simulations from four process-based models (2.0 +/- 0.3g C m(-2)mm(-1)) but comparable within the uncertainty of both approaches. In both satellite-based datasets and process models, precipitation is more strongly associated with spatial gradients of WUE for temperate and tropical regions, but temperature dominates north of 50 degrees N. WUE also increases with increasing solar radiation at high latitudes. The values of WUE from datasets and process-based models are systematically higher in wet regions (with higher GPP) than in dry regions. WUEt shows a lower precipitation sensitivity than WUE, which is contrary to leaf- and plant-level observations. IWUEt, the product of WUEt and water vapour deficit, is found to be rather conservative with spatially increasing precipitation, in agreement with leaf- and plant-level measurements. Main conclusionsWUE, WUEt and IWUEt produce different spatial relationships with climate variables. In dry ecosystems, water losses from evaporation from bare soil, uncorrelated with productivity, tend to make WUE lower than in wetter regions. Yet canopy conductance is intrinsically efficient in those ecosystems and maintains a higher IWUEt. This suggests that the responses of each component flux of evapotranspiration should be analysed separately when investigating regional gradients in WUE, its temporal variability and its trends.; National Natural Science Foundation of China [41530528]; National Basic Research Program of China [2013CB956303]; 111 Project [B14001]; National Youth Top-notch Talent Support Program in China; US Department of Energy (DOE), Office of Science, Biological and Environmental Research; DOE [DE-AC05-00OR22725]; SCI(E); ARTICLE; slpiao@pku.edu.cn; 3; 311-323; 25
语种	英语
内容类型	期刊论文
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/438568]
专题	城市与环境学院
推荐引用方式 GB/T 7714	Sun, Yan,Piao, Shilong,Huang, Mengtian,et al. Global patterns and climate drivers of water-use efficiency in terrestrial ecosystems deduced from satellite-based datasets and carbon cycle models[J]. GLOBAL ECOLOGY AND BIOGEOGRAPHY,2016.
APA	Sun, Yan.,Piao, Shilong.,Huang, Mengtian.,Ciais, Philippe.,Zeng, Zhenzhong.,...&Zeng, Hui.(2016).Global patterns and climate drivers of water-use efficiency in terrestrial ecosystems deduced from satellite-based datasets and carbon cycle models.GLOBAL ECOLOGY AND BIOGEOGRAPHY.
MLA	Sun, Yan,et al."Global patterns and climate drivers of water-use efficiency in terrestrial ecosystems deduced from satellite-based datasets and carbon cycle models".GLOBAL ECOLOGY AND BIOGEOGRAPHY (2016).