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Performance of four state-of-the-art GPP products (VPM, MOD17, BESS and PML) for grasslands in drought years

文献类型：期刊论文

作者Pei, Yanyan1; Dong, Jinwei1; Zhang, Yao3; Yang, Jilin1,2; Zhang, Yongqiang4; Jiang, Chongya5; Xiao, Xiangming2
刊名ECOLOGICAL INFORMATICS
出版日期2020-03-01
卷号56页码:12
关键词Gross primary production (GPP) Drought VPM BESS PML MOD17 Light use efficiency model Process-based model
ISSN号1574-9541
DOI10.1016/j.ecoinf.2020.101052
通讯作者Dong, Jinwei(dongjw@igsnrr.ac.cn) ; Xiao, Xiangming(xiangming.xiao@ou.edu)
英文摘要Accurate estimation of gross primary production (GPP) is of significance for understanding the changes of carbon uptake and its responses to extreme climate events like droughts. Emerging new GPP products with higher spatial and temporal resolutions (500-1000 m, 8-day) from the Moderate Resolution Imaging Spectroradiometer (MODIS) Photosynthesis (MOD17), the Vegetation Photosynthesis Model (VPM), the Breathing Earth System Simulator (BESS), and the Penman-Monteith-Leuning (PML) models, provided unprecedented opportunities to understand the spatial and temporal variations of GPP. However, their performances under drought conditions remain obscure. Here we evaluated the performance of these four state-of-the-art GPP products in grasslands, using FLUXNET data as reference. The results showed that all the four models have reasonable accuracies under non-drought years. In drought years, the VPM performed best, followed by the MOD17, PML and BESS, with the RMSEs of 1.67, 1.69, 1.72 and 1.77 gC m(-2) day(-1), respectively. The VPM, BESS and PML overestimated annual GPP by 2%, 13% and 21%, respectively, while MOD17 underestimated annual GPP by 10% in drought years. This varied model performances under drought years could be partially attributed to the differences in quantifying the water stress effects. The water constraint factor in the VPM, which is derived from the Land Surface Water Index (LSWI) and directly indicates the overall water content of leaf, plant stand and soil background, could better capture the vegetation response to water content variation than that in MOD17, PML and BESS, all of which used an atmospheric moisture related indicator (the Vapor Pressure Deficit for MOD17 and PML, and the relative humidity for BESS). This study suggests that water stress factors, which reflect the physiological and ecological characteristics of vegetation itself (e.g., LSWI) rather than atmospheric moisture (e.g., VPD) or other meteorological surrogates, should be further considered in GPP models when applied in drought conditions
WOS关键词GROSS PRIMARY PRODUCTION ; LIGHT-USE EFFICIENCY ; INDUCED CHLOROPHYLL FLUORESCENCE ; TERRESTRIAL GROSS ; CLIMATE EXTREMES ; CARBON-DIOXIDE ; RICE YIELD ; LEAF-AREA ; MODIS ; MODELS
资助项目Chinese Academy of Sciences (CAS), China[XDA19040301]
WOS研究方向Environmental Sciences & Ecology
语种英语
WOS记录号WOS:000519656700005
出版者ELSEVIER
资助机构Chinese Academy of Sciences (CAS), China
源URL[http://ir.igsnrr.ac.cn/handle/311030/133068]  
专题中国科学院地理科学与资源研究所
通讯作者Dong, Jinwei; Xiao, Xiangming
作者单位1.Chinese Acad Sci, Key Lab Land Surface Pattern & Simulat, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
2.Univ Oklahoma, Ctr Spatial Anal, Dept Microbiol & Plant Biol, Norman, OK 73019 USA
3.Columbia Univ, Dept Earth & Environm Engn, New York, NY 10027 USA
4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China
5.Seoul Natl Univ, Dept Landscape Architecture & Rural Syst Engn, Seoul, South Korea
推荐引用方式
GB/T 7714		 Pei, Yanyan,Dong, Jinwei,Zhang, Yao,et al. Performance of four state-of-the-art GPP products (VPM, MOD17, BESS and PML) for grasslands in drought years[J]. ECOLOGICAL INFORMATICS,2020,56:12.
APA Pei, Yanyan.,Dong, Jinwei.,Zhang, Yao.,Yang, Jilin.,Zhang, Yongqiang.,...&Xiao, Xiangming.(2020).Performance of four state-of-the-art GPP products (VPM, MOD17, BESS and PML) for grasslands in drought years.ECOLOGICAL INFORMATICS,56,12.
MLA Pei, Yanyan,et al."Performance of four state-of-the-art GPP products (VPM, MOD17, BESS and PML) for grasslands in drought years".ECOLOGICAL INFORMATICS 56(2020):12.

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来源：地理科学与资源研究所

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