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.

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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

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article

Threat posed by rising lake levels on the Tibetan Plateau: take Qinghai Lake for example

Zhizhong Ning, Chaoyi Liu, Hu Yu
2 citations
Ecological Indicators
Cryospheric studies and observations
2.60
article

Threat posed by rising lake levels on the Tibetan Plateau: take Qinghai Lake for example

Zhizhong Ning, Chaoyi Liu, Hu Yu
article en
2 citations

Abstract

• 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.

Ecological IndicatorsVol. 176
Chinese Academy of Sciences (CN), Institute of Geographic Sciences and Natural Resources Research (CN), University of Chinese Academy of Sciences (CN)
National Natural Science Foundation of China
Climate action
Openalex Percentile: Top 11%
Cryospheric studies and observations
2.60
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