Multi-satellite derived data reveals spatiotemporal dynamics of carbon-water coupling and its drivers in tropical ecosystems
文献类型：期刊论文
| 作者 | Wang, Xiang9; Fu, Zheng9; Ciais, Philippe8; Penuelas, Josep10,11; Xiao, Jingfeng2; Li, Xing3; Luo, Xiangzhong4; Chen, Chi5; Xia, Haoyu9; Zhou, Tao6,7 |
| 刊名 | REMOTE SENSING OF ENVIRONMENT
 |
| 出版日期 | 2026-03-01 |
| 卷号 | 334页码:115242 |
| 关键词 | Climate change Tropical Carbon-water coupling Leaf area |
| ISSN号 | 0034-4257 |
| DOI | 10.1016/j.rse.2026.115242 |
| 产权排序 | 1 |
| 文献子类 | Article |
| 英文摘要 | Climate change has significantly impacted tropical water use efficiency (WUE), defined as the ratio of gross primary productivity (GPP) to evapotranspiration (ET). However, the spatiotemporal dynamics and controlling factors of WUE in these regions-particularly the effects of extreme El Nino events-remain unclear. Using multiple satellite-derived GPP and ET datasets with large-scale observations, here we quantified WUE trends from 2001 to 2020 and assessed the impact of the 2015/16 El Nino drought on WUE in the tropics. Our analysis revealed a significant upward trend in tropical WUE, increasing at a rate of 0.007 f 0.001 g C kg-1 H2O yr-1 (mean f standard deviation), with the largest increase observed in tropical Asia (0.01 f 0.001 g C kg-1 H2O yr-1). Spatially, three independent remote sensing-driven datasets consistently showed a significant WUE increase in 32%-54% of tropical regions, while only 1%-3% experienced a significant decline. Furthermore, tropical ecosystems exhibited a substantial increase in GPP (5.47 f 0.60 g C m-2 yr-1), with the highest growth rate in tropical Asia (11.45 f 0.37 g C m-2 yr-1), whereas ET showed minor changes. This suggests that WUE changes in tropical ecosystems are primarily driven by increases of GPP rather than ET. Further analysis identified leaf area as the dominant factor influencing WUE, GPP, and ET trends across the tropics. We also found that the extreme drought during the 2015/16 El Nino event resulted in a net decrease in WUE (-0.03 f 0.01 g C kg-1 H2O), which transitioned to a net increase (0.04 f 0.01 g C kg-1 H2O) by 2016/17. Compared to satellite-driven results, most land surface models captured the direction of tropical WUE trends but simulated a slower rate of change, with substantial variation in predicted trend intensities among models. This study advances our understanding of tropical ecosystem WUE dynamics and provides critical insights for predicting future WUE changes under ongoing climate change, informing strategies for carbon sequestration and water resource management in vulnerable tropical regions. |
| URL标识 | 查看原文 |
| WOS关键词 | USE EFFICIENCY ; TERRESTRIAL ECOSYSTEMS ; VEGETATION CONTROL ; LEAF-AREA ; CLIMATE ; VARIABILITY ; FOREST ; CYCLE ; EVAPOTRANSPIRATION ; PHOTOSYNTHESIS |
| WOS研究方向 | Environmental Sciences & Ecology ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:001669894000002 |
| 出版者 | ELSEVIER SCIENCE INC |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/220974]  |
| 专题 | 生态系统网络观测与模拟院重点实验室_外文论文 |
| 通讯作者 | Fu, Zheng |
| 作者单位 | 1.Beijing Normal Univ, Coll Water Sci, Beijing 100875, Peoples R China 2.Univ New Hampshire, Inst Study Earth Oceans & Space, Earth Syst Res Ctr, Durham, NH 03824 USA; 3.Sun Yat Sen Univ, Sch Geog & Planning, Guangzhou 510275, Peoples R China; 4.Natl Univ Singapore, Dept Geog, Singapore, Singapore; 5.Rutgers State Univ, Dept Ecol Evolut & Nat Resource, New Brunswick, NJ USA; 6.Minist Ecol & Environm, Satellite Applicat Ctr Ecol & Environm, Beijing 100094, Peoples R China; 7.Minist Ecol & Environm, Key Lab Satellite Remote Sensing, Beijing 100094, Peoples R China; 8.Univ Paris Saclay, Lab Sci Climat & Environm, IPSL, CEA CNRS UVSQ, F-91191 Gif Sur Yvette, France; 9.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China; 10.CREAF CSIC UAB, Global Ecol Unit, CSIC, Barcelona, Catalonia, Spain; |
| 推荐引用方式 GB/T 7714 | Wang, Xiang,Fu, Zheng,Ciais, Philippe,et al. Multi-satellite derived data reveals spatiotemporal dynamics of carbon-water coupling and its drivers in tropical ecosystems[J]. REMOTE SENSING OF ENVIRONMENT,2026,334:115242. |
| APA | Wang, Xiang.,Fu, Zheng.,Ciais, Philippe.,Penuelas, Josep.,Xiao, Jingfeng.,...&Zhang, Fangyue.(2026).Multi-satellite derived data reveals spatiotemporal dynamics of carbon-water coupling and its drivers in tropical ecosystems.REMOTE SENSING OF ENVIRONMENT,334,115242. |
| MLA | Wang, Xiang,et al."Multi-satellite derived data reveals spatiotemporal dynamics of carbon-water coupling and its drivers in tropical ecosystems".REMOTE SENSING OF ENVIRONMENT 334(2026):115242. |
入库方式： OAI收割
来源：地理科学与资源研究所
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