ArticleThe New phytologist2020
Stomatal optimization based on xylem hydraulics (SOX) improves land surface model simulation of vegetation responses to climate.
Article in The New phytologist, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.
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Who cites it
24 citing papers in PubMed, 1 synthesis or guideline pooled it, 197 citations in OpenAlex.
- Limited plastic responses in safety traits support greater hydraulic risk under drier conditions.Nature ecology & evolution · 2025Pooled it
- Stomatal Decoupling From Photosynthesis Under High Temperatures Is Consistent With Stomatal Optimisation.Global change biology · 2026Article
- A Simple Stomatal Model That Unifies the Metabolic and Hydraulic Control of Carbon and Water Flux.Global change biology · 2026Article
- Warming climate amplifies vapor pressure deficit limits on gross primary productivity.Nature communications · 2026Article
- Evolutionary trade-offs under stochastic water stress shape xylem vulnerability to drought.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Simulation of citrus foliar gas exchange across diverse meteorological conditions: application of the optimal stomatal regulation method.Frontiers in plant science · 2026Article
- A physically consistent dataset of water-energy-carbon fluxes across the Soil-Plant-Atmosphere Continuum.Scientific data · 2025Article
- Xylem embolism refilling revealed in stems of a weedy grass.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Generalized Stomatal Optimization of Evolutionary Fitness Proxies for Predicting Plant Gas Exchange Under Drought, Heatwaves, and Elevated COGlobal change biology · 2025Article
- PSInet: a new global water potential network.Tree physiology · 2024Article
- Towards accurate monitoring of water content in woody tissue across tropical forests and other biomes.Tree physiology · 2024Article
- Community assembly influences plant trait economic spectra and functional trade-offs at ecosystem scales.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Increased hydraulic risk in assemblages of woody plant species predicts spatial patterns of drought-induced mortality.Nature ecology & evolution · 2023Article
- Anatomical traits related to leaf and branch hydraulic functioning on Amazonian savanna plants.AoB PLANTS · 2023Article
- Global variations in critical drought thresholds that impact vegetation.National science review · 2023Article
- How drought events during the last century have impacted biomass carbon in Amazonian rainforests.Global change biology · 2023Article
- Towards a unified theory of plant photosynthesis and hydraulics.Nature plants · 2022Article
- Divergence of hydraulic traits among tropical forest trees across topographic and vertical environment gradients in Borneo.The New phytologist · 2022Article
- Process-oriented analysis of dominant sources of uncertainty in the land carbon sink.Nature communications · 2022Article
- Towards species-level forecasts of drought-induced tree mortality risk.The New phytologist · 2022Article
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Authors and funding
19 authors at 12 institutions in 8 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Land surface models (LSMs) typically use empirical functions to represent vegetation responses to soil drought. These functions largely neglect recent advances in plant ecophysiology that link xylem hydraulic functioning with stomatal responses to climate. We developed an analytical stomatal optimization model based on xylem hydraulics (SOX) to predict plant responses to drought. Coupling SOX to the Joint UK Land Environment Simulator (JULES) LSM, we conducted a global evaluation of SOX against leaf- and ecosystem-level observations. SOX simulates leaf stomatal conductance responses to climate for woody plants more accurately and parsimoniously than the existing JULES stomatal conductance model. An ecosystem-level evaluation at 70 eddy flux sites shows that SOX decreases the sensitivity of gross primary productivity (GPP) to soil moisture, which improves the model agreement with observations and increases the predicted annual GPP by 30% in relation to JULES. SOX decreases JULES root-mean-square error in GPP by up to 45% in evergreen tropical forests, and can simulate realistic patterns of canopy water potential and soil water dynamics at the studied sites. SOX provides a parsimonious way to incorporate recent advances in plant hydraulics and optimality theory into LSMs, and an alternative to empirical stress factors.
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