Drivers of ecosystem soil water stress response revealed by critical soil moisture thresholds
文献类型：期刊论文
| 作者 | Lan, Lihua1,2; Wang, Zhenbo1,2; He, Fei1,2 |
| 刊名 | ECOLOGICAL INFORMATICS
 |
| 出版日期 | 2025-12-01 |
| 卷号 | 92页码:103503 |
| 关键词 | EF-SM coupling method Critical soil moisture thresholds (e crit ) Vegetation types Water stress Ecosystem responses Spatial variation |
| ISSN号 | 1574-9541 |
| DOI | 10.1016/j.ecoinf.2025.103503 |
| 产权排序 | 1 |
| 文献子类 | Article |
| 英文摘要 | Understanding the critical soil moisture threshold (ecrit), defined as the volumetric water content triggering plant water stress, is essential for evaluating ecosystem vulnerability to drought. Based on the estimates of the critical soil moisture threshold (ecrit), slope (S), and maximum evaporation fraction (EFmax) derived from the evaporative fraction-soil moisture (EF-SM) coupling, this study aims to investigate the soil water stress responses of various vegetation types and analyzed the dominant mechanisms driving the spatial variations of ecrit, S, and EFmax. The results showed that among vegetation types, evergreen broadleaf forests demonstrated the greatest resistance to soil water stress, characterized by the highest ecrit(0.43 f 0.036 m3/m3) and lowest S (0.35 f 0.042). In contrast, deciduous broadleaf forests were more sensitive to soil moisture limitations. Beyond forests, closed shrublands, croplands, and grasslands also exhibited high sensitivity to water stress. Notably, open shrublands were the most vulnerable vegetation type overall, with extremely low ecrit (0.21 f 0.053 m3/m3) and the highest S values (1.10 f 0.059) indicating severe water limitation. An analysis of the dominant factors suggests that soil properties serve as the primary determinants of ecritvariation (59 % explained variance), whereas meteorological factors predominantly govern the spatial variation of S (35 % explained variance). The spatial distribution of EFmax is mainly shaped by vegetation characteristics (62 % explained variance). More importantly, the results showed that vegetation physiological traits, such as gross primary productivity, leaf nitrogen content, and vegetation optical depth, further regulate ecritand S likely through mechanisms involving deep root systems, leaf morphology, and transpiration processes. These findings offer valuable insights into the variability of ecosystem's soil water stress responses, providing a robust scientific basis for enhancing water resource management in the context of climate change. |
| URL标识 | 查看原文 |
| WOS关键词 | ATMOSPHERE-VEGETATION SYSTEM ; PLANT-RESPONSES ; DEEP ROOTS ; DROUGHT ; CLIMATE ; MODEL ; TEMPERATURES ; MAXIMUM ; PHOTOSYNTHESIS ; PRODUCTIVITY |
| WOS研究方向 | Environmental Sciences & Ecology |
| 语种 | 英语 |
| WOS记录号 | WOS:001619586400002 |
| 出版者 | ELSEVIER |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/217721]  |
| 专题 | 区域可持续发展分析与模拟院重点实验室_外文论文 |
| 通讯作者 | Wang, Zhenbo |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China; 2.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100190, Peoples R China |
| 推荐引用方式 GB/T 7714 | Lan, Lihua,Wang, Zhenbo,He, Fei. Drivers of ecosystem soil water stress response revealed by critical soil moisture thresholds[J]. ECOLOGICAL INFORMATICS,2025,92:103503. |
| APA | Lan, Lihua,Wang, Zhenbo,&He, Fei.(2025).Drivers of ecosystem soil water stress response revealed by critical soil moisture thresholds.ECOLOGICAL INFORMATICS,92,103503. |
| MLA | Lan, Lihua,et al."Drivers of ecosystem soil water stress response revealed by critical soil moisture thresholds".ECOLOGICAL INFORMATICS 92(2025):103503. |
入库方式： OAI收割
来源：地理科学与资源研究所
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