Stomatal optimization based on xylem hydraulics (SOX) improves land surface model simulation of vegetation responses to climate.

Autor: Eller CB; College of Life and Environmental Sciences, University of Exeter, Exeter, EX4 4QF, UK.; Department of Plant Biology, University of Campinas, Campinas, 13083-862, Brazil., Rowland L; College of Life and Environmental Sciences, University of Exeter, Exeter, EX4 4QF, UK., Mencuccini M; CREAF, Bellaterra, 08193, Barcelona, Spain.; ICREA, Pg. Lluís Companys 23, 08010, Barcelona, Spain., Rosas T; CREAF, Bellaterra, 08193, Barcelona, Spain.; ICREA, Pg. Lluís Companys 23, 08010, Barcelona, Spain., Williams K; Met Office Hadley Centre, Fitzroy Road, Exeter, EX1 3PB, UK., Harper A; College of Engineering, Mathematics and Physical Sciences, University of Exeter, Exeter, EX4 4QF, UK., Medlyn BE; Hawkesbury Institute for the Environment, Western Sydney University, Locked Bag 1797, Penrith, NSW, 2751, Australia., Wagner Y; Department of Plant & Environmental Sciences, Weizmann Institute of Science, 76100, Rehovot, Israel., Klein T; Department of Plant & Environmental Sciences, Weizmann Institute of Science, 76100, Rehovot, Israel., Teodoro GS; Institute of Biological Sciences, Federal University of Pará, Belém, 66075-110, Brazil., Oliveira RS; Department of Plant Biology, University of Campinas, Campinas, 13083-862, Brazil., Matos IS; Department of Ecology - IBRAG, Rio de Janeiro State University (UERJ), Rio de Janeiro, 20550-013, Brazil., Rosado BHP; Department of Ecology - IBRAG, Rio de Janeiro State University (UERJ), Rio de Janeiro, 20550-013, Brazil., Fuchs K; Department of Environmental Systems Science, ETH Zurich, Universitätstrasse 2, 8092, Zurich, Switzerland., Wohlfahrt G; Department of Ecology, University of Innsbruck, Innsbruck, 6020, Austria., Montagnani L; Forest Services, Autonomous Province of Bolzano, Via Brennero 6, 39100, Bolzano, Italy., Meir P; Research School of Biology, The Australian National University, Acton, ACT, 2601, Australia.; School of Geosciences, University of Edinburgh, Edinburgh, EH9 3FF, UK., Sitch S; College of Life and Environmental Sciences, University of Exeter, Exeter, EX4 4QF, UK., Cox PM; College of Engineering, Mathematics and Physical Sciences, University of Exeter, Exeter, EX4 4QF, UK.
Jazyk: angličtina
Zdroj: The New phytologist [New Phytol] 2020 Jun; Vol. 226 (6), pp. 1622-1637. Date of Electronic Publication: 2020 Feb 17.
DOI: 10.1111/nph.16419
Abstrakt: 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.
(© 2020 The Authors. New Phytologist © 2020 New Phytologist Trust.)
Databáze: MEDLINE
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