The DOI matches its Crossref record; 74 of the 74 references it cites were found in a registry or an index.
Satellites reveal widespread decline in global lake water storage
Open accessAbstract
Climate change and human activities increasingly threaten lakes that store 87% of Earth’s liquid surface fresh water. Yet, recent trends and drivers of lake volume change remain largely unknown globally. Here, we analyze the 1972 largest global lakes using three decades of satellite observations, climate data, and hydrologic models, finding statistically significant storage declines for 53% of these water bodies over the period 1992–2020. The net volume loss in natural lakes is largely attributable to climate warming, increasing evaporative demand, and human water consumption, whereas sedimentation dominates storage losses in reservoirs. We estimate that roughly one-quarter of the world’s population resides in a basin of a drying lake, underscoring the necessity of incorporating climate change and sedimentation impacts into sustainable water resources management.
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1 retracted
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Cited by
A Circular Built Environment in the Digital Age
(2024) · Circular Economy and Sustainability · doi:10.1007/978-3-031-39675-5 · Cited by 59
Metadata
- Authors
- Yao, F., Livneh, B., Rajagopalan, B., Wang, J., Crétaux, J.-F., Wada, Y., & Berge-Nguyen, M.
- Venue
- Science
- Published
- 2023-05-19
- Volume
- 380
- Issue
- 6646
- Pages
- 743-749
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W4377013814
- Cited by
- 486
- References
- 74
- FWCI
- 65.09
- Type
- journal article
- Language
- en
- Open access
- green
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- Yao, F., Livneh, B., Rajagopalan, B., Wang, J., Crétaux, J.-F., Wada, Y., & Berge-Nguyen, M. (2023). Satellites reveal widespread decline in global lake water storage. Science. https://doi.org/10.1126/science.abo2812
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
