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231225s2018 xx |||||o 00| ||eng c |
| 024 |
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|a 10.1111/gcb.13924
|2 doi
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|a pubmed25n0921.xml
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|a (DE-627)NLM276606345
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|a (NLM)28991405
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|a DE-627
|b ger
|c DE-627
|e rakwb
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| 041 |
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|a eng
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| 100 |
1 |
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|a Stinziano, Joseph R
|e verfasserin
|4 aut
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| 245 |
1 |
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|a Improving models of photosynthetic thermal acclimation
|b Which parameters are most important and how many should be modified?
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|c 2018
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| 336 |
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|a Text
|b txt
|2 rdacontent
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|a ƒaComputermedien
|b c
|2 rdamedia
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| 338 |
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|a ƒa Online-Ressource
|b cr
|2 rdacarrier
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| 500 |
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|a Date Completed 23.11.2018
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| 500 |
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|a Date Revised 23.11.2018
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|a published: Print-Electronic
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|a Citation Status MEDLINE
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| 520 |
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|a © 2017 John Wiley & Sons Ltd.
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|a Photosynthetic temperature acclimation could strongly affect coupled vegetation-atmosphere feedbacks in the global carbon cycle, especially as the climate warms. Thermal acclimation of photosynthesis can be modelled as changes in the parameters describing the direct effect of temperature on photosynthetic capacity (i.e., activation energy, Ea ; deactivation energy, Hd ; entropy parameter, ΔS) or the basal value of photosynthetic capacity (i.e., photosynthetic capacity measured at 25°C). However, the impact of acclimating these parameters (individually or in combination) on vegetative carbon gain is relatively unexplored. Here we compare the ability of 66 photosynthetic temperature acclimation scenarios to improve the ability of a spatially explicit canopy carbon flux model, MAESTRA, to predict eddy covariance data from a loblolly pine forest. We show that: (1) incorporating seasonal temperature acclimation of basal photosynthetic capacity improves the model's ability to capture seasonal changes in carbon fluxes and outperforms acclimation of other single factors (i.e., Ea or ΔS alone); (2) multifactor scenarios of photosynthetic temperature acclimation provide minimal (if any) improvement in model performance over single factor acclimation scenarios; (3) acclimation of Ea should be restricted to the temperature ranges of the data from which the equations are derived; and (4) model performance is strongly affected by the Hd parameter. We suggest that a renewed effort be made into understanding whether basal photosynthetic capacity, Ea , Hd and ΔS co-acclimate across broad temperature ranges to determine whether and how multifactor thermal acclimation of photosynthesis occurs
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| 650 |
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4 |
|a Journal Article
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| 650 |
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|a Research Support, Non-U.S. Gov't
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| 650 |
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4 |
|a Research Support, U.S. Gov't, Non-P.H.S.
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| 650 |
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4 |
|a Jmax
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| 650 |
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4 |
|a Vcmax
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| 650 |
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4 |
|a Eddy covariance
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| 650 |
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4 |
|a climate change
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| 650 |
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4 |
|a modified Arrhenius equation
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| 650 |
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4 |
|a scaling
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| 650 |
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4 |
|a seasonality
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| 650 |
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4 |
|a temperature
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| 650 |
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7 |
|a Carbon Dioxide
|2 NLM
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| 650 |
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7 |
|a 142M471B3J
|2 NLM
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| 650 |
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|a Carbon
|2 NLM
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| 650 |
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7 |
|a 7440-44-0
|2 NLM
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| 700 |
1 |
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|a Way, Danielle A
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Bauerle, William L
|e verfasserin
|4 aut
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| 773 |
0 |
8 |
|i Enthalten in
|t Global change biology
|d 1999
|g 24(2018), 4 vom: 20. Apr., Seite 1580-1598
|w (DE-627)NLM098239996
|x 1365-2486
|7 nnns
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| 773 |
1 |
8 |
|g volume:24
|g year:2018
|g number:4
|g day:20
|g month:04
|g pages:1580-1598
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| 856 |
4 |
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|u http://dx.doi.org/10.1111/gcb.13924
|3 Volltext
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|a GBV_ILN_350
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|a AR
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|d 24
|j 2018
|e 4
|b 20
|c 04
|h 1580-1598
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