ArticleGlobal change biology2025
Disentangling Effects of Vegetation Structure and Physiology on Land-Atmosphere Coupling.
Article in Global change biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
2 citing papers in PubMed.
- Vegetation browning patterns under compound soil and atmospheric dryness in northern permafrost ecosystems.Nature communications · 2026Article
- Fast response of satellite fluorescence-derived plant physiology to drought stress.Nature communications · 2026Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
Terrestrial vegetation is a key component of the Earth system, regulating the exchange of carbon, water, and energy between land and atmosphere. Vegetation affects soil moisture dynamics by absorbing and transpiring soil water, thus modulating land-atmosphere interactions. Moreover, changes in vegetation structure (e.g., leaf area index) and physiology (e.g., stomatal regulation), due to climate change and forest management, also influence land-atmosphere interactions. However, the relative roles of vegetation structure and physiology in modulating land-atmosphere interactions are not well understood globally. Here, we investigate the contributions of vegetation structure and physiology to the coupling between soil moisture (SM) and vapor pressure deficit (VPD) while also considering the contributions of influential hydro-meteorological variables. We focus on periods when SM is below normal in the growing season to explicitly study the regulation of vegetation on SM-VPD coupling during soil dryness. We use an explainable machine learning approach to quantify and study the sensitivity of SM-VPD coupling to vegetation variables. We find that vegetation structure and physiology exert strong control on SM-VPD coupling in cold and temperate regions in the Northern Hemisphere. Vegetation structure and physiology show similar and predominant negative sensitivity on SM-VPD coupling, with increases of vegetation dynamics leading to stronger negative SM-VPD coupling. Our analysis based on Earth system model simulations reveals that models largely reproduce the effect of vegetation physiology on SM-VPD coupling, but they misrepresent the role of vegetation structure. This way, our results guide model development and highlight that the deeper understanding of the roles of vegetation structure and physiology serves as a prerequisite to more accurate projections of future climate and ecosystems.
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Registered trials
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