DOI: 10.1002/2015GB005135
Scopus记录号: 2-s2.0-84958856753
论文题名: Changing Amazon biomass and the role of atmospheric CO2 concentration, climate, and land use
作者: De Almeida Castanho A ; D ; , Galbraith D ; , Zhang K ; , Coe M ; T ; , Costa M ; H ; , Moorcroft P
刊名: Global Biogeochemical Cycles
ISSN: 8866236
出版年: 2016
卷: 30, 期: 1 起始页码: 18
结束页码: 39
语种: 英语
英文关键词: Amazon Basin
; carbon cycle
; climate change
; CO2 fertilization
; dynamic vegetation model
; land use change
Scopus关键词: aboveground biomass
; atmospheric gas
; carbon budget
; carbon dioxide
; climate change
; concentration (composition)
; environmental modeling
; evergreen forest
; extreme event
; heterogeneity
; land use change
; mortality
; vegetation structure
; Amazon Basin
; Amazonia
; Nica
英文摘要: The Amazon tropical evergreen forest is an important component of the global carbon budget. Its forest floristic composition, structure, and function are sensitive to changes in climate, atmospheric composition, and land use. In this study biomass and productivity simulated by three dynamic global vegetation models (Integrated Biosphere Simulator, Ecosystem Demography Biosphere Model, and Joint UK Land Environment Simulator) for the period 1970-2008 are compared with observations from forest plots (Rede Amazõnica de Inventarios Forestales). The spatial variability in biomass and productivity simulated by the DGVMs is low in comparison to the field observations in part because of poor representation of the heterogeneity of vegetation traits within the models. We find that over the last four decades the CO2 fertilization effect dominates a long-term increase in simulated biomass in undisturbed Amazonian forests, while land use change in the south and southeastern Amazonia dominates a reduction in Amazon aboveground biomass, of similar magnitude to the CO2 biomass gain. Climate extremes exert a strong effect on the observed biomass on short time scales, but the models are incapable of reproducing the observed impacts of extreme drought on forest biomass. We find that future improvements in the accuracy of DGVM predictions will require improved representation of four key elements: (1) spatially variable plant traits, (2) soil and nutrients mediated processes, (3) extreme event mortality, and (4) sensitivity to climatic variability. Finally, continued long-term observations and ecosystem-scale experiments (e.g. Free-Air CO2 Enrichment experiments) are essential for a better understanding of the changing dynamics of tropical forests. ©2015. American Geophysical Union. All Rights Reserved. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/77893
Appears in Collections: 气候变化事实与影响
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作者单位: Department of Agricultural Engineering, Universidade Federal Do Ceará, Ceará, Brazil; Woods Hole Research Center, Falmouth, MA, United States; School of Geography, University of Leeds, Leeds, United Kingdom; Cooperative Institute for Mesoscale Meteorological Studies, University of Oklahoma, Norman, OK, United States; Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA, United States; Department of Agricultural Engineering, Universidade Federal de Viçosa, Viçosa, Brazil
Recommended Citation:
De Almeida Castanho A,D,, Galbraith D,et al. Changing Amazon biomass and the role of atmospheric CO2 concentration, climate, and land use[J]. Global Biogeochemical Cycles,2016-01-01,30(1)