Spatiotemporal variations of water productivity for cropland and driving factors over China during 2001-2015

被引:17
|
作者
Yang, Shanshan [1 ]
Zhang, Jiahua [1 ,2 ]
Wang, Jingwen [2 ,3 ]
Zhang, Sha [1 ]
Bai, Yun [1 ]
Shi, Siqi [4 ]
Cao, Dan [2 ,3 ]
机构
[1] Qingdao Univ, Coll Comp Sci & Technol, Res Ctr Remote Sensing Informat & Digital Earth, Qingdao, Peoples R China
[2] Chinese Acad Sci, Aerosp Informat Res Inst, Key Lab Digital Earth Sci, Beijing, Peoples R China
[3] Univ Chinese Acad Sci, Beijing, Peoples R China
[4] Univ Twente, Fac Geoinformat Sci & Earth Observat ITC, NL-7500 AE Enschede, Netherlands
关键词
Water use efficiency (WP); Cropland; Remote sensing-based ecosystem model (BESS); China; Controlling factor; Interannual variability; USE EFFICIENCY; WINTER-WHEAT; LOESS PLATEAU; IRRIGATION DISTRICT; GRAIN PRODUCTION; YIELD; CLIMATE; VARIABILITY; FOOTPRINT; PATTERNS;
D O I
10.1016/j.agwat.2021.107328
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
Croplands play an important role in China's agricultural production and food security. However, the shortage of water resource due to climate change and unsuitable utilization poses heavy pressure on agricultural water use in China. Water productivity (WP), defined as the amount of crop production per unit of water consumption by croplands, provides a useful indicator for quantifying where the water can be used more effectively. To date, the spatiotemporal variations of cropland WP in China and its controlling factors at the interannual scale remain poorly understood. In this study, a remote sensing-based ecosystem model (i.e., Breathing Earth System Simulator, BESS) was applied to quantify and analyze the spatiotemporal variations and driving factors of cropland WP in China during 2001-2015. The results showed cropland WP in China had high spatial heterogeneity, ranging from 0.27 to 3.91gC kg(-1) H2O with an average of 1.86 +/- 0.30 gC kg(-1) H2O. Dry farmland and paddy field differed considerably in WP values across different regions. During 2001-2015, WP of most croplands (88%) exhibited significantly increasing trends, and dry farmland generally had greater increasing trends than paddy field among all regions. Contribution analysis revealed that the spatiotemporal variations of cropland WP during 2001-2015 were mostly attributed to remarkable increase of crop yield (i.e., GPP), except for some croplands in northwestern regions (e.g., GX) where WP variations were regulated by cropland water consumption (i.e., ET). Furthermore, we examined the driving factors of cropland WP interannual varibility (IAV), and found the dominant factor of WP IAV varied greatly between cropland types and regions. Overall, precipitation was the primary driver of cropland WP IAV at the national level, followed by air temperature and solar radiation. Besides, drought also plays a great role in manipulating WP IAV, especially the medium and long-term drought.
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页数:16
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