Journal
AGRICULTURAL AND FOREST METEOROLOGY
Volume 151, Issue 10, Pages 1370-1384Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/j.agrformet.2011.05.019
Keywords
Gas exchange; Land surface; Mesophyll conductance; Ecosystem modelling; Photosynthetic limitation; Water deficit
Categories
Funding
- Fundacion Ramon Areces (Madrid, Spain)
- Natural Environment Research Council [ncas10009] Funding Source: researchfish
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Coupled photosynthesis-stomatal conductance (A-g(s)) models are commonly used in ecosystem models to represent the exchange rate of CO(2) and H(2)O between vegetation and the atmosphere. The ways these models account for water stress differ greatly among modelling schemes. This study provides insight into the impact of contrasting model configurations of water stress on the simulated leaf-level values of net photosynthesis (A), stomatal conductance (g(s)), the functional relationship among them and their ratio, the intrinsic water use efficiency (A/g(s)), as soil dries. A simple, yet versatile, normalized soil moisture dependent function was used to account for the effects of water stress on g(s). on mesophyll conductance (g(m)) and on the biochemical capacity. Model output was compared to leaf-level values obtained from the literature. The sensitivity analyses emphasized the necessity to combine both stomatal and non-stomatal limitations of A in coupled A-g(s) models to accurately capture the observed functional relationships A vs. g(s) and A/g(s) vs. g(s) in response to drought. Accounting for water stress in coupled A-g(s) models by imposing either stomatal or biochemical limitations of A, as commonly practiced in most ecosystem models, failed to reproduce the observed functional relationship between key leaf gas exchange attributes. A quantitative limitation analysis revealed that the general pattern of C(3) photosynthetic response to water stress may be well represented in coupled A-g(s) models by imposing the highest limitation strength to g(m), then to g(s) and finally to the biochemical capacity. (C) 2011 Elsevier B.V. All rights reserved.
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