Thermal acclimation of leaf photosynthetic traits in an evergreen
woodland, consistent with the co-ordination hypothesis
woodland, consistent with the co-ordination hypothesis
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Author(s)
Type
Journal Article
Abstract
Ecosystem models commonly assume that key photosynthetic traits, such as carboxylation-capacity measured at a standard temperature, are constant in time. The temperature responses of modelled photosynthetic/respiratory rates then depend entirely on enzyme kinetics. Optimality considerations suggest this assumption may be incorrect. The ‘co-ordination hypothesis’ (that Rubisco- and electron-transport limited rates of photosynthesis are co-limiting under typical daytime conditions) predicts instead that carboxylation (<i>V<sub>cmax</i></sub>) and light-harvesting (<i>J<sub>max</i></sub>) capacities, and mitochondrial respiration in the dark (<i>R<sub>dark</i></sub>), should acclimate so that they increase with growth temperature &ndash; but less steeply than their instantaneous response rates. To explore this hypothesis, photosynthetic measurements were carried out on woody species during the warm and the cool seasons in the semi-arid Great Western Woodlands, Australia, under broadly similar light environments. A consistent linear relationship between <i>V<sub>cmax</i></sub> and <i>J<sub>max</i></sub> was found across species. <i>V<sub>cmax</i></sub>, <i>J<sub>max</i></sub> and <i>R<sub>dark</i></sub> increased with temperature, but values standardized to 25&thinsp;˚C declined. The <i>ci:ca</i> ratio increased slightly with temperature. The leaf <i>N:P</i> ratio was lower in the warm season. The slopes of the relationships of log-transformed <i>V<sub>cmax</i></sub> and <i>J<sub>max</i></sub> to temperature were close to values predicted by the co-ordination hypothesis, but shallower than those predicted by enzyme kinetics.
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Date Issued
2018-06-11
Date Acceptance
2018-05-22
Citation
Biogeosciences, 2018, 15 (11), pp.3461-3474
ISSN
1726-4170
Publisher
Copernicus Publications
Start Page
3461
End Page
3474
Journal / Book Title
Biogeosciences
Volume
15
Issue
11
Copyright Statement
© 2018 Author(s). This work is distributed under the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/).
Subjects
Meteorology & Atmospheric Sciences
Publication Status
Published
Date Publish Online
2018-06-11