Arid
DOI10.3390/land9090288
Performance of the Remotely-Derived Products in Monitoring Gross Primary Production across Arid and Semi-Arid Ecosystems in Northwest China
Gu, Qing; Zheng, Hui; Yao, Li; Wang, Min; Ma, Mingguo; Wang, Xufeng; Tang, Xuguang
通讯作者Yao, L
来源期刊LAND
EISSN2073-445X
出版年2020
卷号9期号:9
英文摘要As an important component to quantify the carbon budget, accurate evaluation of terrestrial gross primary production (GPP) is crucial for large-scale applications, especially in dryland ecosystems. Based on the in situ data from six flux sites in northwestern China from 2014 to 2016, this study compares seasonal and interannual dynamics of carbon fluxes between these arid and semi-arid ecosystems and the atmosphere. Meanwhile, the reliability of multiple remotely-derived GPP products in representative drylands was examined, including the Breathing Earth System Simulator (BESS), the Moderate Resolution Imaging Spectroradiometer (MODIS) and data derived from the OCO-2 solar-induced chlorophyll fluorescence (GOSIF). The results indicated that the carbon fluxes had clear seasonal patterns, with all ecosystems functioning as carbon sinks. The maize cropland had the highest GPP with 1183 g C m(-2)y(-1). Although the net ecosystem carbon exchange (NEE) in the Tamarix spp. ecosystem was the smallest among these flux sites, it reached 208 g C m(-2)y(-1). Furthermore, distinct advantages of GOSIF GPP (with R-2=0.85-0.98, and RMSE=0.87-2.66 g C m(-2)d(-1)) were found with good performance. However, large underestimations in three GPP products existed during the growing seasons, except in grassland ecosystems. The main reasons can be ascribed to the uncertainties in the key model parameters, including the underestimated light use efficiency of the MODIS GPP, the same coarse land cover product for the BESS and MODIS GPP, the coarse gridded meteorological data, and distribution of C-3 and C-4 plants. Therefore, it still requires more work to accurately quantify the GPP across these dryland ecosystems.
英文关键词carbon management eddy covariance BESS GPP MODIS GPP GOSIF GPP
类型Article
语种英语
开放获取类型gold
收录类别SSCI
WOS记录号WOS:000580301600001
WOS关键词EDDY-COVARIANCE ; CARBON SEQUESTRATION ; FLUX MEASUREMENTS ; USE EFFICIENCY ; PHOTOSYNTHESIS ; ENERGY ; MODEL ; RESPONSES ; EXCHANGE
WOS类目Environmental Studies
WOS研究方向Environmental Sciences & Ecology
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/326951
作者单位[Gu, Qing; Yao, Li; Wang, Min; Ma, Mingguo; Tang, Xuguang] Southwest Univ, Sch Geog Sci, Chongqing Engn Res Ctr Remote Sensing Big Data Ap, Chongqing 400715, Peoples R China; [Gu, Qing; Tang, Xuguang] Chinese Acad Sci, Nanjing Inst Geog & Limnol, Key Lab Watershed Geog Sci, Nanjing 210008, Peoples R China; [Zheng, Hui; Yao, Li] Henan Univ, Key Lab Geospatial Technol Middle & Lower Yellow, Kaifeng 475004, Peoples R China; [Wang, Xufeng] Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Lanzhou 730000, Peoples R China
推荐引用方式
GB/T 7714
Gu, Qing,Zheng, Hui,Yao, Li,et al. Performance of the Remotely-Derived Products in Monitoring Gross Primary Production across Arid and Semi-Arid Ecosystems in Northwest China[J],2020,9(9).
APA Gu, Qing.,Zheng, Hui.,Yao, Li.,Wang, Min.,Ma, Mingguo.,...&Tang, Xuguang.(2020).Performance of the Remotely-Derived Products in Monitoring Gross Primary Production across Arid and Semi-Arid Ecosystems in Northwest China.LAND,9(9).
MLA Gu, Qing,et al."Performance of the Remotely-Derived Products in Monitoring Gross Primary Production across Arid and Semi-Arid Ecosystems in Northwest China".LAND 9.9(2020).
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