Stomatal optimization based on xylem hydraulics (SOX) improves land surface model simulation of vegetation responses to climate
| Autor: | Anna B. Harper, Leonardo Montagnani, Cleiton B. Eller, Peter M. Cox, Maurizio Mencuccini, Bruno H. P. Rosado, Belinda E. Medlyn, Karina Williams, Georg Wohlfahrt, Rafael S. Oliveira, Patrick Meir, Lucy Rowland, Yael Wagner, Tamir Klein, Kathrin Fuchs, Teresa Rosas, Grazielle Sales Teodoro, Ilaíne S. Matos, Stephen Sitch |
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| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
0106 biological sciences
0301 basic medicine Canopy Stomatal conductance Physiology Earth Planet Eddy covariance Climate change Xylem hydraulics Plant Science drought Forests Atmospheric sciences 01 natural sciences 03 medical and health sciences Stomatal optimization stomatal optimization eddy covariance Water content Drought Full Paper Research land‐surface models Vegetation 15. Life on land Evergreen Full Papers Plants xylem hydraulics Land-surface models Droughts 030104 developmental biology climate change 13. Climate action Soil water Environmental science 010606 plant biology & botany |
| Zdroj: | New Phytologist, 226 (6) The New Phytologist Dipòsit Digital de Documents de la UAB Universitat Autònoma de Barcelona New Phytologist Eller, C B, Rowland, L, Mencuccini, M, Rosas, T, Williams, K, Harper, A, Medlyn, B E, Wagner, Y, Klein, T, Teodoro, G S, Oliveira, R S, Matos, I S, Rosado, B H, Fuchs, K, Wohlfahrt, G, Montagnani, L, Meir, P, Sitch, S & Cox, P M 2020, ' Stomatal optimisation based on xylem hydraulics (SOX) improves land surface model simulation of vegetation responses to climate ', New Phytologist . https://doi.org/10.1111/nph.16419 |
| Popis: | Summary 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. See also the Commentary on this article by Anderegg & Venturas, 226: 1535–1538. |
| Databáze: | OpenAIRE |
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