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 | |
刊名 | ECOLOGICAL INDICATORS
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2018-05-01 | |
卷号 | 88页码:134-143 |
关键词 | Grassland ecosystem GPP ChinaFLUX LUE model Northern China |
ISSN号 | 1470-160X |
DOI | 10.1016/j.ecolind.2018.01.028 |
通讯作者 | Liu, Min(mliu@re.ecnu.edu.cn) |
英文摘要 | 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. |
资助项目 | National Natural Science Foundation of China[41201092] ; National Natural Science Foundation of China[41471076] ; science and technology projects of China on Certified carbon budget affected by climate change and related issues[XDA05050700] |
WOS关键词 | LIGHT USE EFFICIENCY ; PHOTOSYNTHETICALLY ACTIVE RADIATION ; NET PRIMARY PRODUCTIVITY ; ECOSYSTEM EXCHANGE ; FLUX MEASUREMENTS ; CARBON ; BIOMASS ; VEGETATION ; ASSIMILATION ; RESPIRATION |
WOS研究方向 | Biodiversity & Conservation ; Environmental Sciences & Ecology |
语种 | 英语 |
出版者 | ELSEVIER SCIENCE BV |
WOS记录号 | WOS:000430760800015 |
资助机构 | National Natural Science Foundation of China ; science and technology projects of China on Certified carbon budget affected by climate change and related issues |
内容类型 | 期刊论文 |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/55033] ![]() |
专题 | 中国科学院地理科学与资源研究所 |
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. |
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