Unveiling hidden dynamics: fine-scale mapping of groundwater-dependent ecosystems using multi-source Earth observations
文献类型：期刊论文
| 作者 | Liang, Yu1,2,3; Cao, Chunyan1,2; Zhu, Xiaoyu1,2; Gao, Sicong4,5; Zhang, Yongqiang3; Ma, Xuanlong1,2,3 |
| 刊名 | INTERNATIONAL JOURNAL OF DIGITAL EARTH
 |
| 出版日期 | 2025-12-31 |
| 卷号 | 18期号:1页码:2528636 |
| 关键词 | Groundwater dependent ecosystems Dryland landsat climate change sustainable development |
| ISSN号 | 1753-8947 |
| DOI | 10.1080/17538947.2025.2528636 |
| 产权排序 | 3 |
| 文献子类 | Article |
| 英文摘要 | Groundwater-dependent ecosystems (GDEs) provide valuable ecosystem services but are threatened by climate change and increased human groundwater use. Sustainable groundwater management requires knowledge of the spatial distribution of GDEs, but this remains a challenge. Here we developed an effective workflow for mapping GDEs and their dependence on groundwater at 30 m resolution over the Hexi Corridor, northwestern China, by integrating multi-source Earth observations. The method integrates seasonal Landsat NDVI and NDWI indices with an unsupervised ISODATA clustering algorithm and groundwater depth datasets to classify GDEs. The accuracy of the mapping results was validated by multiple measurements. Results show that 34.23% of the study area is GDE, mainly in shallow water table and arid regions, making them vulnerable to exploitation. We also found that the rate of decline of the GRACE terrestrial water storage anomaly (TWSA), a satellite proxy for groundwater dynamics, was faster in areas with high GDE occurrence, suggesting that urgent groundwater management actions are needed to avoid the potential loss of valuable services provided by these ecosystems to the human society. While demonstrated in northwestern China, the workflow is adaptable to other global regions, enabling consistent and dynamic monitoring of GDEs. The GDE map has been uploaded to the data repository for free public access:(http://datadryad.org/stash/share/mODbi5SlXI_oeV1E_rWs5SD7eZEz-HfDKgB8JxET-ZA). |
| URL标识 | 查看原文 |
| WOS关键词 | CHLOROPHYLL FLUORESCENCE ; CLIMATE-CHANGE ; HEXI CORRIDOR ; EVAPOTRANSPIRATION ; PATTERNS ; PRODUCT ; FOREST ; SYSTEM ; WATER |
| WOS研究方向 | Physical Geography ; Remote Sensing |
| 语种 | 英语 |
| WOS记录号 | WOS:001528199500001 |
| 出版者 | TAYLOR & FRANCIS LTD |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/215345]  |
| 专题 | 陆地水循环及地表过程院重点实验室_外文论文 |
| 通讯作者 | Ma, Xuanlong |
| 作者单位 | 1.Lanzhou Univ, Ctr Remote Sensing Ecol Environm Cold & Arid Reg, Lanzhou 730000, Gansu, Peoples R China; 2.Lanzhou Univ, Coll Earth & Environm Sci, MoE Key Lab Western Chinas Environm Syst, Lanzhou 730000, Gansu, Peoples R China; 3.Chinese Acad Sci, Key Lab Water Cycle & Related Land Surface Proc, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China; 4.Commonwealth Sci & Ind Res Org CSIRO, Environm, Adelaide, Australia; 5.Univ Canberra, Ctr Appl Water Sci, Canberra, Australia |
| 推荐引用方式 GB/T 7714 | Liang, Yu,Cao, Chunyan,Zhu, Xiaoyu,et al. Unveiling hidden dynamics: fine-scale mapping of groundwater-dependent ecosystems using multi-source Earth observations[J]. INTERNATIONAL JOURNAL OF DIGITAL EARTH,2025,18(1):2528636. |
| APA | Liang, Yu,Cao, Chunyan,Zhu, Xiaoyu,Gao, Sicong,Zhang, Yongqiang,&Ma, Xuanlong.(2025).Unveiling hidden dynamics: fine-scale mapping of groundwater-dependent ecosystems using multi-source Earth observations.INTERNATIONAL JOURNAL OF DIGITAL EARTH,18(1),2528636. |
| MLA | Liang, Yu,et al."Unveiling hidden dynamics: fine-scale mapping of groundwater-dependent ecosystems using multi-source Earth observations".INTERNATIONAL JOURNAL OF DIGITAL EARTH 18.1(2025):2528636. |
入库方式： OAI收割
来源：地理科学与资源研究所
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