Uncertainty in simulating regional gross primary productivity from satellite based models over northern China grassland

doi:10.1016/j.ecolind.2018.01.028

NWIPB OpenIR

	Uncertainty in simulating regional gross primary productivity from satellite based models over northern China grassland
	Jia, Wenxiao 1,2; Liu, Min 2; Wang, Duoduo 2; He, Honglin 3; Shi, Peili 3; Li, Yingnian4 ; Wang, Yanfen 5
	2018-05-01
发表期刊	ECOLOGICAL INDICATORS
ISSN	1470-160X
卷号	88 页码:134-143
文章类型	Article
摘要	Large-scale estimation of regional terrestrial gross primacy production (GPP) can improve our understanding of carbon cycle. However, model based estimates are subject to uncertainty. In this study, eight satellite-based models (i.e. VPM, TG, GR, VI, CFIX, ECLUE, VPRM and MODIS-GPP) were compared for GPP simulation in northern China grassland based on 17 site-year eddy covariance measurements, meteorological data and satellite data. Also, the regional spatial temporal GPP patterns during 2001-2013 in northern China grassland were simulated and their uncertainties were quantified. The results showed that the model simulations exhibited significant correlations with observed GPP across these eight models and R-2 or pseudo R-2 ranged between 0.64 and 0.89 (p < .001), ECLUE model performed best. The annual grassland GPP had been growing in fluctuations from 2001 to 2013, with the averaged value of 241.8 g Cm-2 a(-1). Substantial spatial heterogeneity existed in grassland GPP, increasing from the west to the east. The disparities of satellite-based model structures resulted in the overall 49% relative uncertainty in regional simulation of GPP, which was high in area with arid dry climate. Our study highlighted the uncertainty traced back to model approaches under different environmental stresses (photosynthetically active radiation, soil water content and air temperature). For the accurate simulation of grassland GPP, uncertainty in alpine grassland and arid cold area on regional grassland GPP should be focused.
关键词	Grassland Ecosystem Gpp Chinaflux Lue Model Northern China
WOS标题词	Science & Technology ; Life Sciences & Biomedicine
DOI	10.1016/j.ecolind.2018.01.028
关键词[WOS]	LIGHT USE EFFICIENCY ; PHOTOSYNTHETICALLY ACTIVE RADIATION ; NET PRIMARY PRODUCTIVITY ; ECOSYSTEM EXCHANGE ; FLUX MEASUREMENTS ; CARBON ; BIOMASS ; VEGETATION ; ASSIMILATION ; RESPIRATION
收录类别	SCI
语种	英语
项目资助者	National Natural Science Foundation of China(41201092 ; science and technology projects of China on "Certified carbon budget affected by climate change and related issues"(XDA05050700) ; 41471076)
WOS研究方向	Biodiversity & Conservation ; Environmental Sciences & Ecology
WOS类目	Biodiversity Conservation ; Environmental Sciences
WOS记录号	WOS:000430760800015
出版者	ELSEVIER SCIENCE BV
引用统计	被引频次：21[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://210.75.249.4/handle/363003/13843
专题	中国科学院西北高原生物研究所
通讯作者	Liu, Min
作者单位	1.Peking Univ, Coll Urban & Environm Sci, Beijing 100871, Peoples R China 2.East China Normal Univ, Shanghai Key Lab Urban Ecol Proc & Ecorestorat, Sch Ecol & Environm Sci, Shanghai 200241, Peoples R China 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China 4.Chinese Acad Sci, Northwest Inst Plateau Biol, Xining 810001, Qinghai, Peoples R China 5.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
推荐引用方式 GB/T 7714	Jia, Wenxiao,Liu, Min,Wang, Duoduo,et al. Uncertainty in simulating regional gross primary productivity from satellite based models over northern China grassland[J]. ECOLOGICAL INDICATORS,2018,88:134-143.
APA	Jia, Wenxiao.,Liu, Min.,Wang, Duoduo.,He, Honglin.,Shi, Peili.,...&Wang, Yanfen.(2018).Uncertainty in simulating regional gross primary productivity from satellite based models over northern China grassland.ECOLOGICAL INDICATORS,88,134-143.
MLA	Jia, Wenxiao,et al."Uncertainty in simulating regional gross primary productivity from satellite based models over northern China grassland".ECOLOGICAL INDICATORS 88(2018):134-143.