TY - JOUR
T1 - Global diurnal and nocturnal parameters of stomatal conductance in woody plants and major crops
AU - Hoshika, Yasutomo
AU - Osada, Yutaka
AU - de Marco, Alessandra
AU - Peñuelas, Josep
AU - Paoletti, Elena
N1 - Funding Information:
We are grateful for financial support to the LIFE1 project FO3REST (LIFE10 ENV/FR/208), the LIFE1 project MOTTLES (LIFE15 ENV/ IT/000183) and the FP7-Environment project ECLAIRE (282910) of the European Commission, a Grant-in-aid from the Japanese Society for Promotion of Science (Young Scientists B 24780239, and a Postdoctoral fellowship for research abroad). J.P. acknowledges funding from the European Research Council Synergy grant ERC-2013-SyG-610028 IMBALANCE-P, the Spanish Government grants CGL2013-48074-P and CGL2016-79835-P, and the Catalan Government grant SGR 2014-274.
Funding Information:
LIFE1 project FO3REST, Grant/Award Number: LIFE10 ENV/FR/208; LIFE1 project MOTTLES, Grant/Award Number: LIFE15 ENV/IT/000183; ECLAIRE, Grant/ Award Number: 282910; Japanese Society for Promotion of Science, Grant/Award Number: 24780239; European Research Council Synergy, Grant/Award Number: ERC-2013-SyG-610028; Spanish Government, Grant/Award Number: CGL2013-48074-P and CGL2016-79835-P; Catalan Government, Grant/Award Number: SGR 2014-274
Publisher Copyright:
© 2017 John Wiley & Sons Ltd
PY - 2018/2/1
Y1 - 2018/2/1
N2 - Aim: Stomata regulate CO2 uptake, water-vapour loss and uptake of gaseous pollutants. Jarvis-type models that apply multiple-constraint functions are commonly used to estimate stomatal conductance (gs), but most parameters for plant functional types (PFTs) have been estimated using limited information. We refined the data set of key components of the gs response to environmental factors in global PFTs. Location: Global. Time period: Data published in 1973–2015. Major taxa studied: Woody plants and major crops (rice, wheat and maize). Methods: We reviewed 235 publications of field-observed gs for the parameterization of Jarvis-type models in global PFTs. The relationships between stomatal parameters and climatic factors [mean annual air temperature (MAT) and mean annual precipitation (MAP)] were assessed. Results: We found that maximal stomatal conductance (gmax) in global woody plants was correlated with MAP rather than with MAT. The gmax of woody plants on average increased from 0.18 to 0.26 mol/m2/s with an increase in MAP from 0 to 2,000 mm. Models, however, can use a single gmax across major crops (0.44 mol/m2/s). We propose similar stomatal responses to light for C3 crops and woody plants, but C4 crops should use a higher light saturation point of gs. Stomatal sensitivity to vapour-pressure deficit (VPD) was similar across forest PFTs and crops, although desert shrubs had a relatively low sensitivity of stomata to VPD. The optimal temperature for gs increased by 1 °C for every 3.0 °C of MAT. Stomatal sensitivity to predawn water potential was reduced in hot and dry climate. The fraction of nighttime conductance to gmax (0.14 for forest trees, 0.28 for desert shrubs and 0.13 for crops) should be incorporated into the models. Main conclusions: This analysis of global gs data provides a new summary of gs responses and will contribute to modelling studies for plant–atmosphere gas exchange and land-surface energy partitioning.
AB - Aim: Stomata regulate CO2 uptake, water-vapour loss and uptake of gaseous pollutants. Jarvis-type models that apply multiple-constraint functions are commonly used to estimate stomatal conductance (gs), but most parameters for plant functional types (PFTs) have been estimated using limited information. We refined the data set of key components of the gs response to environmental factors in global PFTs. Location: Global. Time period: Data published in 1973–2015. Major taxa studied: Woody plants and major crops (rice, wheat and maize). Methods: We reviewed 235 publications of field-observed gs for the parameterization of Jarvis-type models in global PFTs. The relationships between stomatal parameters and climatic factors [mean annual air temperature (MAT) and mean annual precipitation (MAP)] were assessed. Results: We found that maximal stomatal conductance (gmax) in global woody plants was correlated with MAP rather than with MAT. The gmax of woody plants on average increased from 0.18 to 0.26 mol/m2/s with an increase in MAP from 0 to 2,000 mm. Models, however, can use a single gmax across major crops (0.44 mol/m2/s). We propose similar stomatal responses to light for C3 crops and woody plants, but C4 crops should use a higher light saturation point of gs. Stomatal sensitivity to vapour-pressure deficit (VPD) was similar across forest PFTs and crops, although desert shrubs had a relatively low sensitivity of stomata to VPD. The optimal temperature for gs increased by 1 °C for every 3.0 °C of MAT. Stomatal sensitivity to predawn water potential was reduced in hot and dry climate. The fraction of nighttime conductance to gmax (0.14 for forest trees, 0.28 for desert shrubs and 0.13 for crops) should be incorporated into the models. Main conclusions: This analysis of global gs data provides a new summary of gs responses and will contribute to modelling studies for plant–atmosphere gas exchange and land-surface energy partitioning.
KW - Jarvis-type model
KW - crops
KW - forests
KW - nocturnal stomatal conductance
KW - plant functional types
KW - stomatal conductance
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U2 - 10.1111/geb.12681
DO - 10.1111/geb.12681
M3 - Article
AN - SCOPUS:85037611652
SN - 1466-822X
VL - 27
SP - 257
EP - 275
JO - Global Ecology and Biogeography
JF - Global Ecology and Biogeography
IS - 2
ER -
