DOI: 10.1111/gcb.12152
论文题名: Quantifying variation in forest disturbance, and its effects on aboveground biomass dynamics, across the eastern United States
作者: Vanderwel M.C. ; Coomes D.A. ; Purves D.W.
刊名: Global Change Biology
ISSN: 13541013
出版年: 2013
卷: 19, 期: 5 起始页码: 1504
结束页码: 1517
语种: 英语
英文关键词: CAIN
; Carbon fluxes
; Forest inventory and analysis
; Hierarchical Bayes
; Mortality
; Simulation modeling
; Tree demography
Scopus关键词: aboveground biomass
; carbon balance
; carbon flux
; computer simulation
; demography
; environmental disturbance
; environmental gradient
; forest ecosystem
; forest inventory
; mortality
; spatial variation
; spatiotemporal analysis
; temporal variation
; tree
; article
; biological model
; biomass
; carbon cycle
; ecosystem
; growth, development and aging
; physiology
; population dynamics
; statistics
; tree
; United States
; Biomass
; Carbon Cycle
; Ecosystem
; Models, Biological
; Population Dynamics
; Stochastic Processes
; Trees
; United States
; Atlantic Coast [North America]
; Atlantic Coast [United States]
; Gulf Coast [United States]
; United States
; Hexapoda
英文摘要: The role of tree mortality in the global carbon balance is complicated by strong spatial and temporal heterogeneity that arises from the stochastic nature of carbon loss through disturbance. Characterizing spatio-temporal variation in mortality (including disturbance) and its effects on forest and carbon dynamics is thus essential to understanding the current global forest carbon sink, and to predicting how it will change in future. We analyzed forest inventory data from the eastern United States to estimate plot-level variation in mortality (relative to a long-term background rate for individual trees) for nine distinct forest regions. Disturbances that produced at least a fourfold increase in tree mortality over an approximately 5 year interval were observed in 1-5% of plots in each forest region. The frequency of disturbance was lowest in the northeast, and increased southwards along the Atlantic and Gulf coasts as fire and hurricane disturbances became progressively more common. Across the central and northern parts of the region, natural disturbances appeared to reflect a diffuse combination of wind, insects, disease, and ice storms. By linking estimated covariation in tree growth and mortality over time with a data-constrained forest dynamics model, we simulated the implications of stochastic variation in mortality for long-term aboveground biomass changes across the eastern United States. A geographic gradient in disturbance frequency induced notable differences in biomass dynamics between the least- and most-disturbed regions, with variation in mortality causing the latter to undergo considerably stronger fluctuations in aboveground stand biomass over time. Moreover, regional simulations showed that a given long-term increase in mean mortality rates would support greater aboveground biomass when expressed through disturbance effects compared with background mortality, particularly for early-successional species. The effects of increased tree mortality on carbon stocks and forest composition may thus depend partly on whether future mortality increases are chronic or episodic in nature. © 2013 Blackwell Publishing Ltd.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/62457
Appears in Collections: 影响、适应和脆弱性
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作者单位: Computational Ecology and Environmental Science Group, Microsoft Research, 21 Station Road, Cambridge, CB1 2FB, United Kingdom; Department of Biology, University of Florida, Gainesville, FL, 32611, United States; Forest Ecology and Conservation Group, Department of Plant Sciences, University of Cambridge, Downing Street, Cambridge, CB2 3EA, United Kingdom
Recommended Citation:
Vanderwel M.C.,Coomes D.A.,Purves D.W.. Quantifying variation in forest disturbance, and its effects on aboveground biomass dynamics, across the eastern United States[J]. Global Change Biology,2013-01-01,19(5)