DOI: 10.1111/gcb.13924
Scopus记录号: 2-s2.0-85032798566
论文题名: Improving models of photosynthetic thermal acclimation: Which parameters are most important and how many should be modified?
作者: Stinziano J.R. ; Way D.A. ; Bauerle W.L.
刊名: Global Change Biology
ISSN: 13541013
出版年: 2018
卷: 24, 期: 4 起始页码: 1580
结束页码: 1598
语种: 英语
英文关键词: climate change
; Eddy covariance
; J max
; modified Arrhenius equation
; scaling
; seasonality
; temperature
; V cmax
Scopus关键词: acclimation
; atmosphere-biosphere interaction
; carbon cycle
; climate change
; coniferous forest
; eddy covariance
; photosynthesis
; seasonality
; temperature anomaly
; Pinus taeda
英文摘要: 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., Eaor 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 Eashould be restricted to the temperature ranges of the data from which the equations are derived; and (4) model performance is strongly affected by the Hdparameter. We suggest that a renewed effort be made into understanding whether basal photosynthetic capacity, Ea, Hdand ΔS co-acclimate across broad temperature ranges to determine whether and how multifactor thermal acclimation of photosynthesis occurs. © 2017 John Wiley & Sons Ltd Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/110460
Appears in Collections: 影响、适应和脆弱性 气候变化事实与影响
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作者单位: Department of Biology, The University of Western Ontario, London, ON, Canada; Department of Horticulture and Landscape Architecture, Colorado State University, Fort Collins, CO, United States; Nicholas School of the Environment, Duke University, Durham, NC, United States
Recommended Citation:
Stinziano J.R.,Way D.A.,Bauerle W.L.. Improving models of photosynthetic thermal acclimation: Which parameters are most important and how many should be modified?[J]. Global Change Biology,2018-01-01,24(4)