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

Authors :
Kumarathunge DP
Medlyn BE
Drake JE
Tjoelker MG
Aspinwall MJ
Battaglia M
Cano FJ
Carter KR
Cavaleri MA
Cernusak LA
Chambers JQ
Crous KY
De Kauwe MG
Dillaway DN
Dreyer E
Ellsworth DS
Ghannoum O
Han Q
Hikosaka K
Jensen AM
Kelly JWG
Kruger EL
Mercado LM
Onoda Y
Reich PB
Rogers A
Slot M
Smith NG
Tarvainen L
Tissue DT
Togashi HF
Tribuzy ES
Uddling J
VĂ„rhammar A
Wallin G
Warren JM
Way DA
Source :
The New phytologist [New Phytol] 2019 Apr; Vol. 222 (2), pp. 768-784. Date of Electronic Publication: 2019 Feb 08.
Publication Year :
2019

Abstract

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 <subscript>2</subscript> response curves, including data from 141 C <subscript>3</subscript> 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.<br /> (© 2018 The Authors. New Phytologist © 2018 New Phytologist Trust.)

Details

Language :
English
ISSN :
1469-8137
Volume :
222
Issue :
2
Database :
MEDLINE
Journal :
The New phytologist
Publication Type :
Academic Journal
Accession number :
30597597
Full Text :
https://doi.org/10.1111/nph.15668