中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Revisiting global cropland water use efficiency: Insights from satellite remote sensing

文献类型:期刊论文

作者Huang, Lingxiao5,6; Wang, Yizhe5,6; Liu, Meng2,3; Yao, Na4; Yao, Yunjun1; Li, Zhao-Liang2,3
刊名GLOBAL AND PLANETARY CHANGE
出版日期2026-03-01
卷号258页码:105310
关键词Ecosystem Water Use Efficiency Evapotranspiration Gross primary production Global Croplands
ISSN号0921-8181
DOI10.1016/j.gloplacha.2026.105310
产权排序1
文献子类Article
英文摘要Accurately quantifying global cropland water use efficiency [WUE, the ratio of gross primary production (GPP) to evapotranspiration (ET)] and understanding its spatiotemporal dynamics are essential for improving agricultural water management. Although remote sensing (RS)-based WUE estimation has gained increasing attention, its ability to reproduce observed WUE over croplands remains poorly understood. Consequently, the widespread misapplication of RS-based WUE may lead to biased interpretations of its global spatiotemporal dynamics. Here, we utilized six state-of-the-art RS-based GPP and ET products (PMLv2 GPP and ET, MODIS GPP and ET, VPM GPP, and GLASS GPP) to generate eight WUE estimates through all possible combinations of four GPP and two ET datasets. These estimates were comprehensively evaluated against observations from 20 cropland flux sites by differentiating between C3 and C4 crops. The best-performing WUE was then used to investigate global cropland WUE dynamics from 2001 to 2016, with commonly used RS-based WUE included for comparison. Results showed that the VPM GPP, which explicitly accounts for physiological differences between C3 and C4 crops, performed significantly better than the other GPP products. As a result, GPP(VPM)/ETPMLv2, which to our knowledge, has not been previously documented, achieved the highest accuracy. In contrast, the most widely used GPP(MODIS)/ETMODIS exhibited poor performance (R-2 close to zero) and is therefore not suitable for estimating cropland WUE. From 2001 to 2016, GPP(VPM)/ETPMLv2 had a lower global average WUE (1.64 g C kg(-1) H2O) compared to GPP(MODIS)/ETMODIS (1.73 g C kg(-1) H2O) and GPP(PMLv2)/ETPMLv2 (2.07 g C kg(-1) H2O), and was the only combination showing a statistically significant trend (+0.00669 g C kg(-1) H2O, p < 0.05). Our study contributes by (1) providing a reference for selecting appropriate RS-based products for reliable cropland WUE estimation, (2) refining current understanding of global cropland WUE spatiotemporal dynamics, and (3) informing future advancements in RS-based WUE monitoring.
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WOS关键词GROSS PRIMARY PRODUCTION ; MODIS ; EVAPOTRANSPIRATION ; ECOSYSTEM ; MODEL ; IMPROVEMENTS ; UNCERTAINTY ; DATASETS ; CARBON
WOS研究方向Physical Geography ; Geology
语种英语
WOS记录号WOS:001676924700001
出版者ELSEVIER
源URL[http://ir.igsnrr.ac.cn/handle/311030/221029]  
专题资源与环境信息系统国家重点实验室_外文论文
通讯作者Liu, Meng
作者单位1.Beijing Normal Univ, Fac Geog Sci, State Key Lab Remote Sensing Sci, Beijing 100875, Peoples R China
2.Chinese Acad Agr Sci, Inst Agr Resources & Reg Planning, State Key Lab Efficient Utilizat Arable Land China, Beijing 100081, Peoples R China;
3.Chinese Acad Agr Sci, Inst Agr Resources & Reg Planning, Key Lab Agr Remote Sensing, Minist Agr & Rural Affairs, Beijing 100081, Peoples R China;
4.Minist Agr & Rural Affairs, Inst Rural Dev & Construction, Acad Agr Planning & Engn, Beijing 100125, Peoples R China;
5.Univ Chinese Acad Sci, Beijing 100049, Peoples R China;
6.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China;
推荐引用方式
GB/T 7714
Huang, Lingxiao,Wang, Yizhe,Liu, Meng,et al. Revisiting global cropland water use efficiency: Insights from satellite remote sensing[J]. GLOBAL AND PLANETARY CHANGE,2026,258:105310.
APA Huang, Lingxiao,Wang, Yizhe,Liu, Meng,Yao, Na,Yao, Yunjun,&Li, Zhao-Liang.(2026).Revisiting global cropland water use efficiency: Insights from satellite remote sensing.GLOBAL AND PLANETARY CHANGE,258,105310.
MLA Huang, Lingxiao,et al."Revisiting global cropland water use efficiency: Insights from satellite remote sensing".GLOBAL AND PLANETARY CHANGE 258(2026):105310.

入库方式: OAI收割

来源:地理科学与资源研究所

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