@article{5b9554a45ae84e08bcde13548d7cfe79,
title = "Stomatal optimization based on xylem hydraulics (SOX) improves land surface model simulation of vegetation responses to climate",
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.",
author = "Eller, {Cleiton B.} and Lucy Rowland and Maurizio Mencuccini and Teresa Rosas and Karina Williams and Anna Harper and Medlyn, {Belinda E.} and Yael Wagner and Tamir Klein and Teodoro, {Grazielle S.} and Oliveira, {Rafael S.} and Matos, {Ilaine S.} and Rosado, {Bruno H. P.} and Kathrin Fuchs and Georg Wohlfahrt and Leonardo Montagnani and Patrick Meir and Stephen Sitch and Cox, {Peter M.}",
note = "This research was supported by the Newton Fund through the Met Office Climate Science for Service Partnership Brazil (CSSP Brazil) and an NERC independent fellowship grant NE/N014022/1 to LR. This work used eddy covariance data acquired and shared by the FLUXNET community, including the following networks: AmeriFlux, AfriFlux, AsiaFlux, CarboAfrica, CarboEuropeIP, CarboItaly, CarboMont, ChinaFlux, Fluxnet‐Canada, GreenGrass, ICOS, KoFlux, LBA, NECC, OzFlux‐TERN, TCOS‐Siberia, and USCCC. The ERA‐Interim reanalysis data were provided by ECMWF and processed by LSCE. The FLUXNET eddy covariance data processing and harmonization were carried out by the European Fluxes Database Cluster, AmeriFlux Management Project, and Fluxdata project of FLUXNET, with the support of CDIAC and ICOS Ecosystem Thematic Center, and the OzFlux, ChinaFlux and AsiaFlux offices. Author contributions CBE, LR, MM, SS and PMC led the scientific development of SOX. PMC and CBE derived the analytical solution. CBE evaluated leaf‐level SOX using data provided by LR, PM, MM, TR, BEM, YW, TK, GST, RSO, ISM, BHPR. CBE and KW coded SOX into JULES. KW and AH created a JULES suite used by CBE to evaluate JULES‐SOX against eddy covariance data collected by KF, GW, LM, among other FLUXNET and LBA PIs. All authors contributed to writing the manuscript.",
year = "2020",
month = jun,
doi = "https://doi.org/10.1111/nph.16419",
language = "الإنجليزيّة",
volume = "226",
pages = "1622--1637",
journal = "NEW PHYTOLOGIST",
issn = "0028-646X",
publisher = "Wiley-Blackwell Publishing Ltd",
number = "6",
}