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Spatiotemporal patterns and driving factors of gross primary productivity over the Mongolian Plateau steppe in the past 20 years

文献类型： 外文期刊

作者： Ding, Lei 1 ; Li, Zhenwang 2 ; Wang, Xu 4 ; Shen, Beibei 4 ; Xiao, Liujun 5 ; Dong, Gang 6 ; Yu, Lu 7 ; Nandintsetseg, Banzragch 9 ; Shi, Zhou 1 ; Chang, Jinfeng 1 ; Shao, Changliang 4 ;

作者机构： 1.Zhejiang Univ, Coll Environm & Resource Sci, Hangzhou 310058, Peoples R China

2.Yangzhou Univ, Jiangsu Key Lab Crop Genet & Physiol, Jiangsu Key Lab Crop Cultivat & Physiol, Agr Coll, Yangzhou 225009, Peoples R China

3.Yangzhou Univ, Jiangsu Coinnovat Ctr Modern Prod Technol Grain Cr, Yangzhou 225009, Peoples R China

4.Chinese Acad Agr Sci, Inst Agr Resources & Reg Planning, State Key Lab Efficient Utilizat Arid & Semiarid A, Natl Hulunber Grassland Ecosyst Observat & Res Stn, Beijing 100081, Peoples R China

5.Nanjing Agr Univ, Natl Engn & Technol Ctr Informat Agr, Jiangsu Collaborat Innovat Ctr Modern Crop Prod, Key Lab Crop Syst Anal & Decis Making,Minist Agr,M, Nanjing 210095, Jiangsu, Peoples R China

6.Shanxi Univ, Sch Life Sci, Taiyuan 030006, Peoples R China

7.Zhejiang Univ, Sch Publ Affairs, Hangzhou 310058, Peoples R China

8.German Inst Dev & Sustainabil IDOS, D-53113 Bonn, Germany

9.ERDEM Res & Commun Ctr, Ulaanbaatar, Mongolia

10.Istanbul Tech Univ, Eurasia Inst Earth Sci, Istanbul, Turkiye

关键词： Gross primary productivity; Mongolian Plateau; Grassland; Climatic factors; Human activity

期刊名称：SCIENCE OF THE TOTAL ENVIRONMENT （ 影响因子：9.8； 五年影响因子：9.6 ）

ISSN： 0048-9697

年卷期： 2024 年 920 卷

页码：

收录情况： SCI

摘要： The Eurasian steppe is the largest temperate grassland in the world. The grassland of the Mongolian Plateau (MP) represents an important part of the Eurasian steppe with high climatic sensitivity. Gross primary productivity (GPP) is a key indicator of the grassland's production, status and dynamic on the MP. In this study, we calibrated and evaluated the grassland -specific light use efficiency model (GRASS-LUE) against the observed GPP collected from nine eddy covariance flux sites on the MP, and compared the performance with other four GPP products (MOD17, VPM, GLASS and GOSIF). GRASS-LUE with higher R2 (0.91) and lower root mean square error (RMSE = 0.99 gC m- 2 day - 1) showed a better performance compared to the four GPP products in terms of model accuracy and dynamic consistency, especially in typical and desert steppe. The parameters of the GRASS-LUE are more suitable for water -limited grassland could be the reason for its outstanding performance in typical and desert steppe. Mean grassland GPP derived from GRASS-LUE was higher in the east and lower in the west of the MP. Grassland GPP was on average 205 gC m- 2 over the MP between 2001 and 2020 with mean annual total GPP of 322 TgC yr - 1. 30 % of the MP steppe showed a significant GPP increase. Growing season precipitation is the main factor affecting GPP of the MP steppe across regions. Anthropogenic factors (livestock density and population density) had greater effect on GPP than growing season temperature in pastoral counties in IM that take grazing as one of main industries. These findings can inform the status and trend of the productivity of MP steppe

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