Acclimation and adaptation components of the temperature dependence of plant photosynthesis at the global scale
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 temperatu...
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ftunivnflorida:oai:digitalcommons.unf.edu:unf_faculty_publications-1918 2023-05-15T15:08:15+02:00 Acclimation and adaptation components of the temperature dependence of plant photosynthesis at the global scale Kumarathunge, Dushan P. Medlyn, Belinda E. Drake, John E. Tjoelker, Mark G. Aspinwall, Michael J. Battaglia, Michael Cano, Francisco J. Carter, Kelsey R. Cavaleri, Molly A. Cernusak, Lucas A. Chambers, Jeffrey Q. Crous, Kristine Y. De Kauwe, Martin G. Dillaway, Dylan N. Dreyer, Erwin Ellsworth, David S. Ghannoum, Oula Han, Qingmin Hikosaka, Kouki Jensen, Anna M. 2019-04-01T07:00:00Z https://digitalcommons.unf.edu/unf_faculty_publications/919 https://doi.org/10.1111/nph.15668 unknown UNF Digital Commons https://digitalcommons.unf.edu/unf_faculty_publications/919 https://doi.org/10.1111/nph.15668 UNF Faculty Publications AC curves i climate of origin global vegetation models (GVMs) growth temperature J max maximum carboxylation capacity maximum electron transport rate V cmax text 2019 ftunivnflorida https://doi.org/10.1111/nph.15668 2022-12-09T07:55:31Z 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. Text Arctic Tundra University of North Florida (UNF): Digital Commons Arctic New Phytologist 222 2 768 784 |
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University of North Florida (UNF): Digital Commons |
op_collection_id |
ftunivnflorida |
language |
unknown |
topic |
AC curves i climate of origin global vegetation models (GVMs) growth temperature J max maximum carboxylation capacity maximum electron transport rate V cmax |
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AC curves i climate of origin global vegetation models (GVMs) growth temperature J max maximum carboxylation capacity maximum electron transport rate V cmax Kumarathunge, Dushan P. Medlyn, Belinda E. Drake, John E. Tjoelker, Mark G. Aspinwall, Michael J. Battaglia, Michael Cano, Francisco J. Carter, Kelsey R. Cavaleri, Molly A. Cernusak, Lucas A. Chambers, Jeffrey Q. Crous, Kristine Y. De Kauwe, Martin G. Dillaway, Dylan N. Dreyer, Erwin Ellsworth, David S. Ghannoum, Oula Han, Qingmin Hikosaka, Kouki Jensen, Anna M. Acclimation and adaptation components of the temperature dependence of plant photosynthesis at the global scale |
topic_facet |
AC curves i climate of origin global vegetation models (GVMs) growth temperature J max maximum carboxylation capacity maximum electron transport rate V cmax |
description |
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. |
format |
Text |
author |
Kumarathunge, Dushan P. Medlyn, Belinda E. Drake, John E. Tjoelker, Mark G. Aspinwall, Michael J. Battaglia, Michael Cano, Francisco J. Carter, Kelsey R. Cavaleri, Molly A. Cernusak, Lucas A. Chambers, Jeffrey Q. Crous, Kristine Y. De Kauwe, Martin G. Dillaway, Dylan N. Dreyer, Erwin Ellsworth, David S. Ghannoum, Oula Han, Qingmin Hikosaka, Kouki Jensen, Anna M. |
author_facet |
Kumarathunge, Dushan P. Medlyn, Belinda E. Drake, John E. Tjoelker, Mark G. Aspinwall, Michael J. Battaglia, Michael Cano, Francisco J. Carter, Kelsey R. Cavaleri, Molly A. Cernusak, Lucas A. Chambers, Jeffrey Q. Crous, Kristine Y. De Kauwe, Martin G. Dillaway, Dylan N. Dreyer, Erwin Ellsworth, David S. Ghannoum, Oula Han, Qingmin Hikosaka, Kouki Jensen, Anna M. |
author_sort |
Kumarathunge, Dushan P. |
title |
Acclimation and adaptation components of the temperature dependence of plant photosynthesis at the global scale |
title_short |
Acclimation and adaptation components of the temperature dependence of plant photosynthesis at the global scale |
title_full |
Acclimation and adaptation components of the temperature dependence of plant photosynthesis at the global scale |
title_fullStr |
Acclimation and adaptation components of the temperature dependence of plant photosynthesis at the global scale |
title_full_unstemmed |
Acclimation and adaptation components of the temperature dependence of plant photosynthesis at the global scale |
title_sort |
acclimation and adaptation components of the temperature dependence of plant photosynthesis at the global scale |
publisher |
UNF Digital Commons |
publishDate |
2019 |
url |
https://digitalcommons.unf.edu/unf_faculty_publications/919 https://doi.org/10.1111/nph.15668 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Tundra |
genre_facet |
Arctic Tundra |
op_source |
UNF Faculty Publications |
op_relation |
https://digitalcommons.unf.edu/unf_faculty_publications/919 https://doi.org/10.1111/nph.15668 |
op_doi |
https://doi.org/10.1111/nph.15668 |
container_title |
New Phytologist |
container_volume |
222 |
container_issue |
2 |
container_start_page |
768 |
op_container_end_page |
784 |
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1766339641769721856 |