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Underestimating global land greening: future vegetation changes and their impacts on terrestrial water loss

Chai, Yuanfang; Miao, Chiyuan ORCID: https://orcid.org/0000-0001-6413-7020; Slater, Louise; Ciais, Philippe; Berghuijs, Wouter R.; Chen, Tiexi; Huntingford, Chris ORCID: https://orcid.org/0000-0002-5941-7770. 2025 Underestimating global land greening: future vegetation changes and their impacts on terrestrial water loss. One Earth, 8 (2), 101176. 10.1016/j.oneear.2025.101176

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Abstract/Summary

The growing demand for water presents a significant sustainability challenge. Understanding vegetation changes is crucial, as plants significantly influence water exchange through transpiration. However, global climate models show considerable uncertainty in predicting future vegetation trends ranging from −0.007 to 0.083 m2 m⁻2 decade⁻1, impacting water management. Here, we apply an emergent constraint method to reduce uncertainty in global vegetation projections for the period 2015–2100 from a climate model ensemble (Coupled Model Intercomparison Project Phase 6 [CMIP6]), focusing on the leaf area index (LAI). Our approach reduces uncertainty in global LAI projections by 37.7%–53.1%. We find that this uncertainty is primarily due to incomplete representations of the CO2 fertilization effect. Our results also show that models underestimate future LAI increases by 28.2%–32.1%, leading to underestimated water loss from increased transpiration. These findings improve predictions of future vegetation and transpiration, providing valuable insights for policymakers to adjust water management strategies and better prepare for water-related challenges.

Item Type: Publication - Article
Digital Object Identifier (DOI): 10.1016/j.oneear.2025.101176
UKCEH and CEH Sections/Science Areas: Water and Climate Science (2025-)
ISSN: 2590-3322
NORA Subject Terms: Earth Sciences
Ecology and Environment
Hydrology
Related URLs:
Date made live: 24 Feb 2025 10:46 +0 (UTC)
URI: https://nora.nerc.ac.uk/id/eprint/538948

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