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Acclimation and adaptation components of the temperature dependence of plant photosynthesis at the global scale

Journal article
Authors D. P. Kumarathunge
B. E. Medlyn
J. E. Drake
M. G. Tjoelker
M. J. Aspinwall
M. Battaglia
F. J. Cano
K. R. Carter
M. A. Cavaleri
L. A. Cernusak
J. Q. Chambers
K. Y. Crous
M. G. De Kauwe
D. N. Dillaway
E. Dreyer
D. S. Ellsworth
O. Ghannoum
Q. Han
K. Hikosaka
A. M. Jensen
J. W. G. Kelly
E. L. Kruger
L. M. Mercado
Y. Onoda
P. B. Reich
A. Rogers
M. Slot
N. G. Smith
Lasse Tarvainen
D. T. Tissue
H. F. Togashi
E. S. Tribuzy
Johan Uddling
A. Vårhammar
Göran Wallin
J. M. Warren
D. A. Way
Published in New Phytologist
ISSN 0028-646X
Publication year 2019
Published at Department of Biological and Environmental Sciences
Language en
Keywords AC i curves, climate of origin, global vegetation models (GVMs), growth temperature, J max, maximum carboxylation capacity, maximum electron transport rate, V cmax
Subject categories Biological Sciences


The temperature response of photosynthesis is one of the key factors determining predicted responses to warming in global vegetation models (GVMs). The response may vary geographically, owing to genetic adaptation to climate, and temporally, as a result of acclimation to changes in ambient temperature. Our goal was to develop a robust quantitative global model representing acclimation and adaptation of photosynthetic temperature responses. We quantified and modelled key mechanisms responsible for photosynthetic temperature acclimation and adaptation using a global dataset of photosynthetic CO 2 response curves, including data from 141 C 3 species from tropical rainforest to Arctic tundra. We separated temperature acclimation and adaptation processes by considering seasonal and common-garden datasets, respectively. The observed global variation in the temperature optimum of photosynthesis was primarily explained by biochemical limitations to photosynthesis, rather than stomatal conductance or respiration. We found acclimation to growth temperature to be a stronger driver of this variation than adaptation to temperature at climate of origin. We developed a summary model to represent photosynthetic temperature responses and showed that it predicted the observed global variation in optimal temperatures with high accuracy. This novel algorithm should enable improved prediction of the function of global ecosystems in a warming climate. © 2018 The Authors. New Phytologist © 2018 New Phytologist Trust

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