The DOI matches its Crossref record; 78 of the 78 references it cites were found in a registry or an index.
Predicting long-term dynamics of soil salinity and sodicity on a global scale
Open accessAbstract
Significance: Land degradation due to soil salinization has detrimental impacts on vegetation, crops, and human livelihoods, leading to a need for a methodologically consistent analysis of the variability of different aspects of salt-affected soils. However, previous studies on the soil salinity issue have been primarily spatial and localized, leaving the large-scale spatiotemporal variations of soil salinity widely ignored. To address this gap, we present a globally validated analysis quantifying the long-term variations (40 y) of topsoil salinity at high spatial resolutions using machine-learning techniques. The results have significant implications for agroecological modelling, land assessment, crop growth simulation, and sustainable water management.
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Cites
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High-resolution mapping of global surface water and its long-term changes
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Cited by
Global predictions of primary soil salinization under changing climate in the 21st century
Hassani, A., Azapagic, A., & Shokri, N. (2021) · Nature Communications · doi:10.1038/s41467-021-26907-3 · Cited by 1,021
Self-citationDeveloping climate‐resilient crops: improving plant tolerance to stress combination
Rivero, R. M., Mittler, R., Blumwald, E., & Zandalinas, S. I. (2022) · The Plant Journal · doi:10.1111/tpj.15483 · Cited by 622
Exploring the multiple land degradation pathways across the planet
Prăvălie, R. (2021) · Earth-Science Reviews · doi:10.1016/j.earscirev.2021.103689 · Cited by 322
Remote sensing of soil degradation: Progress and perspective
Wang, J., Zhen, J., Hu, W., Chen, S., Lizaga, I., Zeraatpisheh, M., & Yang, X. (2023) · International Soil and Water Conservation Research · doi:10.1016/j.iswcr.2023.03.002 · Cited by 304
Metadata
- Authors
- Hassani, A., Azapagic, A., & Shokri, N.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2020-12-22
- Volume
- 117
- Issue
- 52
- Pages
- 33017-33027
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W3110295943
- Cited by
- 440
- References
- 78
- FWCI
- 15.31
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Hassani, A., Azapagic, A., & Shokri, N. (2020). Predicting long-term dynamics of soil salinity and sodicity on a global scale. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.2013771117
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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.
