Divergence in global plant carbon use efficiency across data-driven estimates, satellite product, and process-oriented models
文献类型：期刊论文
| 作者 | He, Lei3; Penuelas, Josep2,4; Xiao, Jingfeng5; Tang, Xiaolu6; He, Yue7; Si, Menglin1; Li, Zhao-Liang1,3 |
| 刊名 | ECOLOGICAL INDICATORS
 |
| 出版日期 | 2025-11-01 |
| 卷号 | 180页码:114311 |
| 关键词 | Carbon use efficiency Carbon sequestration Data-driven MODIS DGVMs |
| ISSN号 | 1470-160X |
| DOI | 10.1016/j.ecolind.2025.114311 |
| 产权排序 | 7 |
| 文献子类 | Article |
| 英文摘要 | Plant carbon use efficiency (CUE)-the proportion of net to gross primary productivity (NPP/GPP)-is a critical indicator of terrestrial carbon cycling, yet its global patterns and trends remain uncertain due to challenges in directly measuring carbon flux. Here, we compared global plant CUE estimates using three methods: (1) a datadriven estimate derived from existing GPP, ecosystem respiration and soil heterotrophic respiration datasets (hereafter referred to as data-driven CUE), (2) MODIS satellite product, and (3) dynamic global vegetation models (DGVMs). We found significant spatial and temporal divergences in CUE emerged among the three methods. Specially, the data-driven method showed lower CUE in northern high latitudes and higher CUE in subSaharan Africa, India, and northern Australia, while MODIS and DGVM estimates exhibited opposing patterns. Temporally, MODIS data indicated a global CUE increase during 2001-2012, data-driven method suggested a decline, and most DGVMs showed no significant trend. Machine learning-based spatial attribution showed that mean annual temperature primarily drove spatial CUE variability among the three approaches, with methodspecific relationships. These discrepancies underscore the need to reconcile methodological biases to enhance the accuracy of global plant CUE mapping, thus supporting carbon sequestration strategies under a warming climate. |
| URL标识 | 查看原文 |
| WOS关键词 | NET PRIMARY PRODUCTION ; CONSTANT FRACTION ; FOREST ECOSYSTEM ; RESPIRATION ; TEMPERATURE ; STORAGE ; GROWTH |
| WOS研究方向 | Biodiversity & Conservation ; Environmental Sciences & Ecology |
| 语种 | 英语 |
| WOS记录号 | WOS:001604234600001 |
| 出版者 | ELSEVIER |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/217657]  |
| 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 | Li, Zhao-Liang |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 2.UAB, CSIC, Global Ecol CREAF, Barcelona 08193, Catalonia, Spain; 3.Chinese Acad Agr Sci, Inst Agr Resources & Reg Planning, State Key Lab Efficient Utilizat Arable Land China, Beijing 100081, Peoples R China; 4.CREAF, Barcelona 08193, Catalonia, Spain; 5.Univ New Hampshire, Inst Study Earth Oceans & Space, Earth Syst Res Ctr, Durham, NH 03824 USA; 6.Chengdu Univ Technol, Coll Ecol & Environm, Chengdu 610059, Peoples R China; 7.Peking Univ, Inst Carbon Neutral, Sino French Inst Earth Syst Sci, Coll Urban & Environm Sci, Beijing 100871, Peoples R China; |
| 推荐引用方式 GB/T 7714 | He, Lei,Penuelas, Josep,Xiao, Jingfeng,et al. Divergence in global plant carbon use efficiency across data-driven estimates, satellite product, and process-oriented models[J]. ECOLOGICAL INDICATORS,2025,180:114311. |
| APA | He, Lei.,Penuelas, Josep.,Xiao, Jingfeng.,Tang, Xiaolu.,He, Yue.,...&Li, Zhao-Liang.(2025).Divergence in global plant carbon use efficiency across data-driven estimates, satellite product, and process-oriented models.ECOLOGICAL INDICATORS,180,114311. |
| MLA | He, Lei,et al."Divergence in global plant carbon use efficiency across data-driven estimates, satellite product, and process-oriented models".ECOLOGICAL INDICATORS 180(2025):114311. |
入库方式： OAI收割
来源：地理科学与资源研究所
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