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Measuring and modelling stomatal conductance and photosynthesis in mature birch in Sweden

Journal article
Authors Johan Uddling
Marianne Hall
Göran Wallin
Per Erik Karlsson
Published in Agricultural and Forest Meteorology
Volume 132
Issue 1-2
Pages 115-131
ISSN 0168-1923
Publication year 2005
Published at Botanical Institute, Plant Physiology
Department of Environmental Science and Conservation, Applied Environmental Science
Pages 115-131
Language en
Links dx.doi.org/10.1016/j.agrformet.2005...
Keywords betula pendula, modelling, photosynthesis, stomatal conductance, water potential, water-stress, ozone uptake, forest, responses, exposure, leaves, canopies, humidity, capacity, nitrogen
Subject categories Biological Sciences

Abstract

Stomatal conductance (g(s)), net photosynthesis (A(n)) and twig water potential (Psi(t)) were measured in mature silver birch (Betula pendula) during 3 years in southern Sweden. Measurements from 2 years were used to parameterise three different gs models and measurements from a 3rd year were used to validate these models. Two different multiplicative stomatal models were used. In one of these, the gs response function for the water vapour pressure deficit (D) was fixed, while in the other the g, sensitivity to D increased with the accumulated time after sunrise with D above a certain threshold value. Furthermore, one combined stomatal-photosynthesis model (L-model) was used. The L-model was run either by using observations of photosynthesis as input data, or by predicting g(s) and photosynthesis simultaneously from environmental data. The model used to predict photosynthesis was parameterised from measurements of the photosynthetic responses to the photosynthetically active radiation, CO2 and temperature. The stomatal response functions of the L-model were parameterised using observations of photosynthesis as input data in order to make them independent of the performance of the photosynthesis model. The difference in model performance between the two multiplicative models was relatively small. The multiplicative stomatal models and the L-model were similarly successful in predicting g(s) when the L-model was driven by observations of photosynthesis. However, the L-model was considerably less successful when photosynthesis was predicted. Photosynthesis was systematically under- and overestimated at high and low Psi(t), respectively, causing errors in the prediction of g(s). In most situations, measurements of photosynthesis are not available and g(s) must be predicted from environmental data. In such cases, we conclude that the two multiplicative models are more successful in predicting gs in mature silver birch than the combined stomatal-photosynthesis model. (c) 2005 Elsevier B.V. All rights reserved.

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