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 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.
| Original language | English |
|---|---|
| Pages (from-to) | 768-784 |
| Number of pages | 17 |
| Journal | New Phytologist |
| Volume | 222 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - Apr 2019 |
| Externally published | Yes |
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Kumarathunge, D. P., Medlyn, B. E., Drake, J. E., Tjoelker, M. G., Aspinwall, M. J., Battaglia, M., Cano, F. J., Carter, K. R., Cavaleri, M. A., Cernusak, L. A., Chambers, J. Q., Crous, K. Y., De Kauwe, M. G., Dillaway, D. N., Dreyer, E., Ellsworth, D. S., Ghannoum, O., Han, Q., Hikosaka, K., ... Way, D. A. (2019). Acclimation and adaptation components of the temperature dependence of plant photosynthesis at the global scale. New Phytologist, 222(2), 768-784. https://doi.org/10.1111/nph.15668
Kumarathunge, Dushan P. ; Medlyn, Belinda E. ; Drake, John E. et al. / Acclimation and adaptation components of the temperature dependence of plant photosynthesis at the global scale. In: New Phytologist. 2019 ; Vol. 222, No. 2. pp. 768-784.
@article{b29480d94a064d5e9cdf5625dc50671a,
title = "Acclimation and adaptation components of the temperature dependence of plant photosynthesis at the global scale",
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 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.",
keywords = "AC curves, J, V, climate of origin, global vegetation models (GVMs), growth temperature, maximum carboxylation capacity, maximum electron transport rate",
author = "Kumarathunge, {Dushan P.} and Medlyn, {Belinda E.} and Drake, {John E.} and Tjoelker, {Mark G.} and Aspinwall, {Michael J.} and Michael Battaglia and Cano, {Francisco J.} and Carter, {Kelsey R.} and Cavaleri, {Molly A.} and Cernusak, {Lucas A.} and Chambers, {Jeffrey Q.} and Crous, {Kristine Y.} and {De Kauwe}, {Martin G.} and Dillaway, {Dylan N.} and Erwin Dreyer and Ellsworth, {David S.} and Oula Ghannoum and Qingmin Han and Kouki Hikosaka and Jensen, {Anna M.} and Kelly, {Jeff W.G.} and Kruger, {Eric L.} and Mercado, {Lina M.} and Yusuke Onoda and Reich, {Peter B.} and Alistair Rogers and Martijn Slot and Smith, {Nicholas G.} and Lasse Tarvainen and Tissue, {David T.} and Togashi, {Henrique F.} and Tribuzy, {Edgard S.} and Johan Uddling and Angelica V{\aa}rhammar and G{\"o}ran Wallin and Warren, {Jeffrey M.} and Way, {Danielle A.}",
note = "Publisher Copyright: {\textcopyright} 2018 The Authors. New Phytologist {\textcopyright} 2018 New Phytologist Trust",
year = "2019",
month = apr,
doi = "10.1111/nph.15668",
language = "English",
volume = "222",
pages = "768--784",
journal = "New Phytologist",
issn = "0028-646X",
publisher = "Wiley-Blackwell Publishing Ltd",
number = "2",
}
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, Vårhammar, A, Wallin, G, Warren, JM & Way, DA 2019, 'Acclimation and adaptation components of the temperature dependence of plant photosynthesis at the global scale', New Phytologist, vol. 222, no. 2, pp. 768-784. https://doi.org/10.1111/nph.15668
Acclimation and adaptation components of the temperature dependence of plant photosynthesis at the global scale. / Kumarathunge, Dushan P.; Medlyn, Belinda E.; Drake, John E. et al.
In: New Phytologist, Vol. 222, No. 2, 04.2019, p. 768-784.
Research output: Contribution to journal › Article › peer-review
TY - JOUR
T1 - Acclimation and adaptation components of the temperature dependence of plant photosynthesis at the global scale
AU - Kumarathunge, Dushan P.
AU - Medlyn, Belinda E.
AU - Drake, John E.
AU - Tjoelker, Mark G.
AU - Aspinwall, Michael J.
AU - Battaglia, Michael
AU - Cano, Francisco J.
AU - Carter, Kelsey R.
AU - Cavaleri, Molly A.
AU - Cernusak, Lucas A.
AU - Chambers, Jeffrey Q.
AU - Crous, Kristine Y.
AU - De Kauwe, Martin G.
AU - Dillaway, Dylan N.
AU - Dreyer, Erwin
AU - Ellsworth, David S.
AU - Ghannoum, Oula
AU - Han, Qingmin
AU - Hikosaka, Kouki
AU - Jensen, Anna M.
AU - Kelly, Jeff W.G.
AU - Kruger, Eric L.
AU - Mercado, Lina M.
AU - Onoda, Yusuke
AU - Reich, Peter B.
AU - Rogers, Alistair
AU - Slot, Martijn
AU - Smith, Nicholas G.
AU - Tarvainen, Lasse
AU - Tissue, David T.
AU - Togashi, Henrique F.
AU - Tribuzy, Edgard S.
AU - Uddling, Johan
AU - Vårhammar, Angelica
AU - Wallin, Göran
AU - Warren, Jeffrey M.
AU - Way, Danielle A.
N1 - Publisher Copyright:© 2018 The Authors. New Phytologist © 2018 New Phytologist Trust
PY - 2019/4
Y1 - 2019/4
N2 - 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.
AB - 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.
KW - AC curves
KW - J
KW - V
KW - climate of origin
KW - global vegetation models (GVMs)
KW - growth temperature
KW - maximum carboxylation capacity
KW - maximum electron transport rate
UR - http://www.scopus.com/inward/record.url?scp=85061240700&partnerID=8YFLogxK
U2 - 10.1111/nph.15668
DO - 10.1111/nph.15668
M3 - Article
SN - 0028-646X
VL - 222
SP - 768
EP - 784
JO - New Phytologist
JF - New Phytologist
IS - 2
ER -
Kumarathunge DP, Medlyn BE, Drake JE, Tjoelker MG, Aspinwall MJ, Battaglia M et al. Acclimation and adaptation components of the temperature dependence of plant photosynthesis at the global scale. New Phytologist. 2019 Apr;222(2):768-784. doi: 10.1111/nph.15668
