Adaptive wetland management: Insights from nonlinear dynamics between vegetation and hydrological variables
文献类型：期刊论文
| 作者 | Jing, Haihua2; Liu, Jianwei2; Zhang, Qin1; Wang, Zhenshan2; Pang, XiaoTeng2; Xu, Xinghan2 |
| 刊名 | ECOLOGICAL INDICATORS
 |
| 出版日期 | 2025-08-01 |
| 卷号 | 177页码:113797 |
| 关键词 | Nonlinear response Normalized differnce vegetation index Wetland ecohydrology Generalized additive model Time effect |
| ISSN号 | 1470-160X |
| DOI | 10.1016/j.ecolind.2025.113797 |
| 产权排序 | 2 |
| 文献子类 | Article |
| 英文摘要 | Wetlands provide essential ecosystem services but are increasingly impacted to water scarcity. Understanding the synergistic impacts of multiple hydrological factors on vegetation is crucial for effective wetland management and restoration. This study investigates the nonlinear and asymmetric responses of wetland vegetation, represented by the Normalized Difference Vegetation Index (NDVI), to key hydrological factors: precipitation, inflow, and water depth. Using the NaoLiRiver Wetlands as a case study, we developed a comprehensive framework integrating spatiotemporal image fusion, Generalized Additive Modeling (GAM), and Random Forest analysis to analyze 20 years of remote sensing and hydrological data. Results showed that hydrological factors collectively explained up to 79.4 % of NDVI variation during dry periods, compared to 59.4 % during wet periods. Critical thresholds were identified at 100 mm for precipitation, 75 m3/s for inflow, and 0.6 m for water depth, beyond which NDVI responses began to decline. Time effects, including a 1-month lag and accumulation, were also significant. The Random Forest model further validated the dominance and synergy of hydrological factors. This research not only enhances our understanding of wetland ecohydrology but also offers actionable recommendations for adaptive wetland management in the face of growing climatic challenges. |
| URL标识 | 查看原文 |
| WOS关键词 | SOIL-MOISTURE ; NDVI ; PRODUCTIVITY ; RESPONSES ; WATER |
| WOS研究方向 | Biodiversity & Conservation ; Environmental Sciences & Ecology |
| 语种 | 英语 |
| WOS记录号 | WOS:001523484500001 |
| 出版者 | ELSEVIER |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/215374]  |
| 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 | Liu, Jianwei; Zhang, Qin |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China 2.Dalian Univ Technol, Sch Infrastruct Engn, Dalian 116024, Peoples R China; |
| 推荐引用方式 GB/T 7714 | Jing, Haihua,Liu, Jianwei,Zhang, Qin,et al. Adaptive wetland management: Insights from nonlinear dynamics between vegetation and hydrological variables[J]. ECOLOGICAL INDICATORS,2025,177:113797. |
| APA | Jing, Haihua,Liu, Jianwei,Zhang, Qin,Wang, Zhenshan,Pang, XiaoTeng,&Xu, Xinghan.(2025).Adaptive wetland management: Insights from nonlinear dynamics between vegetation and hydrological variables.ECOLOGICAL INDICATORS,177,113797. |
| MLA | Jing, Haihua,et al."Adaptive wetland management: Insights from nonlinear dynamics between vegetation and hydrological variables".ECOLOGICAL INDICATORS 177(2025):113797. |
入库方式： OAI收割
来源：地理科学与资源研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。