Seasonal fluctuations and temperature dependence in photosynthetic parameters and stomatal conductance at the leaf scale of Populus euphratica Oliv.
Identifieur interne : 002D20 ( Main/Exploration ); précédent : 002D19; suivant : 002D21Seasonal fluctuations and temperature dependence in photosynthetic parameters and stomatal conductance at the leaf scale of Populus euphratica Oliv.
Auteurs : Gao-Feng Zhu [République populaire de Chine] ; Xin Li ; Yong-Hong Su ; Ling Lu ; Chun-Lin HuangSource :
- Tree physiology [ 1758-4469 ] ; 2011.
Descripteurs français
- KwdFr :
- MESH :
- Wicri :
- geographic : République populaire de Chine.
English descriptors
- KwdEn :
- MESH :
- geographic : China.
- metabolism : Plant Leaves, Plant Stomata, Populus.
- Bayes Theorem, Biological Transport, Models, Biological, Photosynthesis, Seasons, Temperature.
Abstract
A combined model to simulate CO₂ and H₂O gas exchange at the leaf scale was parameterized using data obtained from in situ leaf-scale observations of diurnal and seasonal changes in CO₂ and H₂O gas exchange. The Farquhar et al.-type model of photosynthesis was parameterized by using the Bayesian approach and the Ball et al.-type stomatal conductance model was optimized using the linear least-squares procedure. The results show that the seasonal physiological changes in photosynthetic parameters (e.g., V(cmax25), J(max25), R(d25) and g(m25)) in the biochemical model of photosynthesis and m in the stomatal conductance model should be counted in estimating long-term CO₂ and H₂O gas exchange. Overall, the coupled model successfully reproduced the observed response in net assimilation and transpiration rates.
DOI: 10.1093/treephys/tpr005
PubMed: 21411434
Affiliations:
Links toward previous steps (curation, corpus...)
Le document en format XML
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<author><name sortKey="Zhu, Gao Feng" sort="Zhu, Gao Feng" uniqKey="Zhu G" first="Gao-Feng" last="Zhu">Gao-Feng Zhu</name>
<affiliation wicri:level="1"><nlm:affiliation>Key Laboratory of Western China's Environmental Systems (Ministry of Education), Lanzhou University, Lanzhou, China.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
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<wicri:noRegion>Lanzhou</wicri:noRegion>
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<author><name sortKey="Li, Xin" sort="Li, Xin" uniqKey="Li X" first="Xin" last="Li">Xin Li</name>
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<author><name sortKey="Su, Yong Hong" sort="Su, Yong Hong" uniqKey="Su Y" first="Yong-Hong" last="Su">Yong-Hong Su</name>
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<author><name sortKey="Lu, Ling" sort="Lu, Ling" uniqKey="Lu L" first="Ling" last="Lu">Ling Lu</name>
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<author><name sortKey="Huang, Chun Lin" sort="Huang, Chun Lin" uniqKey="Huang C" first="Chun-Lin" last="Huang">Chun-Lin Huang</name>
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<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Bayes Theorem (MeSH)</term>
<term>Biological Transport (MeSH)</term>
<term>China (MeSH)</term>
<term>Models, Biological (MeSH)</term>
<term>Photosynthesis (MeSH)</term>
<term>Plant Leaves (metabolism)</term>
<term>Plant Stomata (metabolism)</term>
<term>Populus (metabolism)</term>
<term>Seasons (MeSH)</term>
<term>Temperature (MeSH)</term>
</keywords>
<keywords scheme="KwdFr" xml:lang="fr"><term>Chine (MeSH)</term>
<term>Feuilles de plante (métabolisme)</term>
<term>Modèles biologiques (MeSH)</term>
<term>Photosynthèse (MeSH)</term>
<term>Populus (métabolisme)</term>
<term>Saisons (MeSH)</term>
<term>Stomates de plante (métabolisme)</term>
<term>Température (MeSH)</term>
<term>Théorème de Bayes (MeSH)</term>
<term>Transport biologique (MeSH)</term>
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<keywords scheme="MESH" qualifier="métabolisme" xml:lang="fr"><term>Feuilles de plante</term>
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<term>Stomates de plante</term>
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<term>Théorème de Bayes</term>
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<front><div type="abstract" xml:lang="en">A combined model to simulate CO₂ and H₂O gas exchange at the leaf scale was parameterized using data obtained from in situ leaf-scale observations of diurnal and seasonal changes in CO₂ and H₂O gas exchange. The Farquhar et al.-type model of photosynthesis was parameterized by using the Bayesian approach and the Ball et al.-type stomatal conductance model was optimized using the linear least-squares procedure. The results show that the seasonal physiological changes in photosynthetic parameters (e.g., V(cmax25), J(max25), R(d25) and g(m25)) in the biochemical model of photosynthesis and m in the stomatal conductance model should be counted in estimating long-term CO₂ and H₂O gas exchange. Overall, the coupled model successfully reproduced the observed response in net assimilation and transpiration rates.</div>
</front>
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<Title>Tree physiology</Title>
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<Abstract><AbstractText>A combined model to simulate CO₂ and H₂O gas exchange at the leaf scale was parameterized using data obtained from in situ leaf-scale observations of diurnal and seasonal changes in CO₂ and H₂O gas exchange. The Farquhar et al.-type model of photosynthesis was parameterized by using the Bayesian approach and the Ball et al.-type stomatal conductance model was optimized using the linear least-squares procedure. The results show that the seasonal physiological changes in photosynthetic parameters (e.g., V(cmax25), J(max25), R(d25) and g(m25)) in the biochemical model of photosynthesis and m in the stomatal conductance model should be counted in estimating long-term CO₂ and H₂O gas exchange. Overall, the coupled model successfully reproduced the observed response in net assimilation and transpiration rates.</AbstractText>
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