NWIPB OpenIR
Uncertainty in simulating regional gross primary productivity from satellite based models over northern China grassland
Jia, Wenxiao1,2; Liu, Min2; Wang, Duoduo2; He, Honglin3; Shi, Peili3; Li, Yingnian4; Wang, Yanfen5
2018-05-01
Source PublicationECOLOGICAL INDICATORS
ISSN1470-160X
Volume88Pages:134-143
SubtypeArticle
AbstractLarge-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.
KeywordGrassland Ecosystem Gpp Chinaflux Lue Model Northern China
WOS HeadingsScience & Technology ; Life Sciences & Biomedicine
DOI10.1016/j.ecolind.2018.01.028
WOS KeywordLIGHT USE EFFICIENCY ; PHOTOSYNTHETICALLY ACTIVE RADIATION ; NET PRIMARY PRODUCTIVITY ; ECOSYSTEM EXCHANGE ; FLUX MEASUREMENTS ; CARBON ; BIOMASS ; VEGETATION ; ASSIMILATION ; RESPIRATION
Indexed BySCI
Language英语
Funding OrganizationNational 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 Research AreaBiodiversity & Conservation ; Environmental Sciences & Ecology
WOS SubjectBiodiversity Conservation ; Environmental Sciences
WOS IDWOS:000430760800015
PublisherELSEVIER SCIENCE BV
Citation statistics
Cited Times:1[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://210.75.249.4/handle/363003/13843
Collection中国科学院西北高原生物研究所
Corresponding AuthorLiu, Min
Affiliation1.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
Recommended Citation
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.
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