Climate warming positively affects hydrological connectivity of typical inland river in arid Central Asia
Hydrological connectivity is crucial for understanding water-ecosystem dynamics, as it serves as a key link between different landscape units. However, the variability of hydrological connectivity in Central Asia remains unexplored, which poses challenges to a comprehensive understanding of ecohydrological processes. This study investigates the spatiotemporal patterns and driving mechanisms of hydrological connectivity in the Tarim River Basin (TRB), Central Asia, from 1990 to 2020, employing a novel approach that integrates remote sensing and reanalysis data. The results indicate an increasing trend in the hydrological connectivity index (HCI), with approximately 60% of the TRB exhibiting significant increases. Climate change exerts the greatest direct (0.59) and total (0.64) effects on HCI, with potential evapotranspiration (19.2%) and temperature (12.6%) being the dominant factors. In mountainous regions, climate change (0.65) is the primary driver, while human activities have a greater impact in the plains (−0.27). These findings offer a new framework for studying ecohydrological processes in arid regions.
Authors
- Gonghuan Fang (ORCID: https://orcid.org/0000-0002-1320-1835)
- Wenjing Huang (ORCID: https://orcid.org/0000-0002-3216-6262)
- Chuanxiu Liu
- Zhu Chenggang
- Zhi Li (ORCID: https://orcid.org/0000-0002-4309-3978)
- Yongchang Liu (ORCID: https://orcid.org/0000-0003-1998-9309)
- Yaning Chen (ORCID: https://orcid.org/0000-0001-6742-1641)
Institutions
- Chinese Academy of Sciences (CN)
- North China University of Water Resources and Electric Power (CN)
- Xinjiang Institute of Ecology and Geography (CN)
- University of Chinese Academy of Sciences (CN)
Publication Details
- Journal
- npj Climate and Atmospheric Science
- Published
- 2024-10-17
- DOI
- https://doi.org/10.1038/s41612-024-00800-4
- Citations
- 29
- Primary Topic
- Transboundary Water Resource Management
- Type
- article
- Field-Weighted Citation Impact
- 32.83
Funders
- Natural Science Foundation of Xinjiang Province