Spatio-temporal variations in global ecosystem respiration and its drivers over the last two decades
文献类型：期刊论文
| 作者 | Li, Chunhui1,4; Yu, Guirui2,3; Han, Lang1,4; Li, Pan1,4; Zhang, Xinru1,4; Liu, Congqiang1,4 |
| 刊名 | ECOLOGICAL INDICATORS
 |
| 出版日期 | 2025-10-01 |
| 卷号 | 179页码:114256 |
| 关键词 | Ecosystem respiration Machine learning Carbon cycles Eddy covariance Temporal dynamics |
| ISSN号 | 1470-160X |
| DOI | 10.1016/j.ecolind.2025.114256 |
| 产权排序 | 3 |
| 文献子类 | Article |
| 英文摘要 | Ecosystem respiration (ER) is a fundamental component of the global carbon cycle, and its accurate estimation is essential for understanding global carbon budgets and climate change. In recent years, machine learning algorithms have been increasingly employed for ER estimation; however, existing ER data products derived from such methods exhibit considerable uncertainties in temporal dynamics. In this study, we reconstructed the time series of ER measurements using eddy covariance flux observations and corresponding driver data, developed ER prediction models annually, and produced a year-by-year global ER dataset (RCS_ER) at 0.05 degrees spatial resolution during 2000-2020. Comparative analyses show that our product consistently outperforms existing global ER datasets in both its overall and year-by-year simulation accuracy. While the spatial distribution of RCS_ER is highly consistent with previous products, it reveals stronger interannual variability and an overall increasing trend over the past two decades, with significant spatial heterogeneity in trend patterns. Partial correlation analysis further indicated that carbon substrates is the dominant driver of ER interannual variability (IAV) in most global regions, while precipitation exerts a more substantial influence than temperature in modulating regional ER dynamics. These findings provide an important data foundation for studying the spatio-temporal variations of terrestrial carbon fluxes and improve our understanding of global carbon cycle processes. |
| URL标识 | 查看原文 |
| WOS关键词 | GROSS PRIMARY PRODUCTION ; LEAF-AREA INDEX ; TERRESTRIAL ECOSYSTEMS ; SOIL RESPIRATION ; ORGANIC-CARBON ; TEMPERATURE-DEPENDENCE ; FLUXNET SITES ; REGRESSION ; FOREST ; PRECIPITATION |
| WOS研究方向 | Biodiversity & Conservation ; Environmental Sciences & Ecology |
| 语种 | 英语 |
| WOS记录号 | WOS:001593169700001 |
| 出版者 | ELSEVIER |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/217516]  |
| 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 | Yu, Guirui; Han, Lang |
| 作者单位 | 1.Tianjin Univ, Inst Surface Earth Syst Sci, Sch Earth Syst Sci, Tianjin 300072, Peoples R China; 2.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China 3.Chinese Acad Sci, Key Lab Ecosyst Network Observat & Modeling, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China; 4.Tianjin Univ, Tianjin Bohai Rim Coastal Earth Crit Zone Natl Obs, Tianjin 300072, Peoples R China; |
| 推荐引用方式 GB/T 7714 | Li, Chunhui,Yu, Guirui,Han, Lang,et al. Spatio-temporal variations in global ecosystem respiration and its drivers over the last two decades[J]. ECOLOGICAL INDICATORS,2025,179:114256. |
| APA | Li, Chunhui,Yu, Guirui,Han, Lang,Li, Pan,Zhang, Xinru,&Liu, Congqiang.(2025).Spatio-temporal variations in global ecosystem respiration and its drivers over the last two decades.ECOLOGICAL INDICATORS,179,114256. |
| MLA | Li, Chunhui,et al."Spatio-temporal variations in global ecosystem respiration and its drivers over the last two decades".ECOLOGICAL INDICATORS 179(2025):114256. |
入库方式： OAI收割
来源：地理科学与资源研究所
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