Threat posed by rising lake levels on the Tibetan Plateau: take Qinghai Lake for example
• Develop and validate a theoretical framework to assess changes in plateau lake level and estimate socio-economic losses. • The lake level of Qinghai Lake will rise, which will cause annual economic losses of $1.06 billion between 2020 and 2050. • Propose a dynamic adaptation strategy for the economic and social risks from plateau lake level fluctuations. Climate-driven hydrological variations in the Qinghai-Tibet Plateau lakes demand urgent integration into regional ecological governance frameworks. Despite growing concerns over plateau lake expansion, critical research gaps persist in understanding coupled hydrological-social system dynamics, particularly the absence of robust socio-economic impact assessment models. This paper addresses the global scientific challenge of quantifying hydrological-environmental-economic interdependencies in plateau and alpine lake systems, using Qinghai Lake as a representative case. Through multidisciplinary analysis combining seven decades of limnological monitoring data, we reveal a bimodal water level evolution pattern characterized by the descent and the stable expansion. Our ensemble modeling predicts 2.83 m lake level rise by 2050 under CMIP6 scenario. The socio-economic vulnerability assessment identifies four critical exposure domains: the settlements around the lake, infrastructure, tourist areas and land use, estimating that the annual economic loss will reach as high as $1.06 billion, equivalent to 44.8 % of regional GDP, with cascading effects on ecological migration and sustainable development goals. These findings establish a novel assessment framework for climate-responsive policy formulation in fragile alpine ecosystems while providing methodological advancements in coupled human-water system modeling.
Authors
- Zhizhong Ning
- Chaoyi Liu (ORCID: https://orcid.org/0009-0008-4546-5481)
- Hu Yu
Institutions
- Chinese Academy of Sciences (CN)
- Institute of Geographic Sciences and Natural Resources Research (CN)
- University of Chinese Academy of Sciences (CN)
Publication Details
- Journal
- Ecological Indicators
- Published
- 2025-06-09
- DOI
- https://doi.org/10.1016/j.ecolind.2025.113716
- Citations
- 2
- Primary Topic
- Cryospheric studies and observations
- Type
- article
- Field-Weighted Citation Impact
- 2.60
Funders
- National Natural Science Foundation of China