Deciphering spatial pattern and environmental drivers of deep soil moisture security: insights from integrating spatial non-stationarity in large-scale analysis

Tong, Y., Wang, Y., Li, Z. et al. (7 more authors) (2025) Deciphering spatial pattern and environmental drivers of deep soil moisture security: insights from integrating spatial non-stationarity in large-scale analysis. Catena, 261. 109516. ISSN: 0341-8162

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Item Type: Article
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This is an author produced version of an article published in CATENA made available via the University of Leeds Research Outputs Policy under the terms of the Creative Commons Attribution License (CC-BY), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited.

Keywords: Deep soil layer; Soil moisture security; Spatial heterogeneity; Hyper-local GWR; Machine learning
Dates:
  • Accepted: 1 October 2025
  • Published (online): 13 October 2025
  • Published: 31 December 2025
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Environment (Leeds) > School of Geography (Leeds)
Date Deposited: 01 Apr 2026 14:20
Last Modified: 01 Apr 2026 14:22
Published Version: https://www.sciencedirect.com/science/article/pii/...
Status: Published
Publisher: Elsevier
Identification Number: 10.1016/j.catena.2025.109516
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