DOI: 10.1016/j.quascirev.2017.06.027
Scopus记录号: 2-s2.0-85021866813
论文题名: Glacial Amazonia at the canopy-scale: Using a biophysical model to understand forest robustness
作者: Sato H. ; Cowling S.A.
刊名: Quaternary Science Reviews
ISSN: 2773791
出版年: 2017
卷: 171 起始页码: 38
结束页码: 47
语种: 英语
英文关键词: Amazon
; Biodiversity
; Canopy model
; Carbon balance
; Ecophysiology
; Forest resilience
; Last glacial maximum
; Palaeoclimatology
; Palaeoecology
Scopus关键词: Atmospheric temperature
; Biodiversity
; Ecology
; Energy balance
; Forestry
; Amazon
; Canopy model
; Carbon balance
; Ecophysiology
; Forest resilience
; Last Glacial Maximum
; Palaeoclimatology
; Palaeoecology
; Glacial geology
英文摘要: A canopy-scale model (CANOAK) was used to simulate lowland Amazonia during the Last Glacial Maximum. Modeled values of Net Ecosystem Exchange driven by glacial environmental conditions were roughly half the magnitude of modern fluxes. Factorial experiments reveal lowered [CO2] to be the primary cause of reduced carbon fluxes while lowered air temperatures enhance net carbon uptake. LGM temperatures are suggested to be closer to optimal for carbon uptake than modern temperatures, explained through the canopy energy balance. Further analysis of the canopy energy balance and resultant leaf temperature regime provide viable mechanisms to explain enhanced carbon-water relations at lowered temperatures and forest robustness over glaciations. An ecophysiological phenomena known as the ‘cross-over’ point, wherein leaf temperatures sink below air temperature, was reproduced and found to demarcate critical changes in energy balance partitioning. © 2017 Elsevier Ltd 资助项目: AFunding: This research was supported by the Natural Sciences and Engineering Research Council of Canada, Jeanne F. Goulding Fellowship, Centre for Global Change Science (CGCS) at the University of Toronto and a collaborative Dimensions of Biodiversity-BIOTA grant supported by FAPESP (2012/50260-6), NSF and NASA.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/59138
Appears in Collections: 过去全球变化的重建
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作者单位: Department of Earth Sciences, University of Toronto, Canada
Recommended Citation:
Sato H.,Cowling S.A.. Glacial Amazonia at the canopy-scale: Using a biophysical model to understand forest robustness[J]. Quaternary Science Reviews,2017-01-01,171