DOI: 10.1111/gcb.14833
论文题名: Testing for changes in biomass dynamics in large-scale forest datasets
作者: Rutishauser E. ; Wright S.J. ; Condit R. ; Hubbell S.P. ; Davies S.J. ; Muller-Landau H.C.
刊名: Global Change Biology
ISSN: 13541013
出版年: 2020
卷: 26, 期: 3 语种: 英语
英文关键词: biomass dynamic
; carbon fluxes
; long-term change
; tropical forests
Scopus关键词: aboveground biomass
; aboveground production
; carbon flux
; data set
; long-term change
; mortality
; tropical forest
; Barro Colorado Island
; Panama Oeste
; Panama [Central America]
英文摘要: Tropical forest responses to climate and atmospheric change are critical to the future of the global carbon budget. Recent studies have reported increases in estimated above-ground biomass (EAGB) stocks, productivity, and mortality in old-growth tropical forests. These increases could reflect a shift in forest functioning due to global change and/or long-lasting recovery from past disturbance. We introduce a novel approach to disentangle the relative contributions of these mechanisms by decomposing changes in whole-plot biomass fluxes into contributions from changes in the distribution of gap-successional stages and changes in fluxes for a given stage. Using 30 years of forest dynamic data at Barro Colorado Island, Panama, we investigated temporal variation in EAGB fluxes as a function of initial EAGB (EAGBi) in 10 × 10 m quadrats. Productivity and mortality fluxes both increased strongly with initial quadrat EAGB. The distribution of EAGB (and thus EAGBi) across quadrats hardly varied over 30 years (and seven censuses). EAGB fluxes as a function of EAGBi varied largely and significantly among census intervals, with notably higher productivity in 1985–1990 associated with recovery from the 1982–1983 El Niño event. Variation in whole-plot fluxes among census intervals was explained overwhelmingly by variation in fluxes as a function of EAGBi, with essentially no contribution from changes in EAGBi distributions. The high observed temporal variation in productivity and mortality suggests that this forest is very sensitive to climate variability. There was no consistent long-term trend in productivity, mortality, or biomass in this forest over 30 years, although the temporal variability in productivity and mortality was so strong that it could well mask a substantial trend. Accurate prediction of future tropical forest carbon budgets will require accounting for disturbance-recovery dynamics and understanding temporal variability in productivity and mortality. © 2019 John Wiley & Sons Ltd Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/158809
Appears in Collections: 气候变化与战略
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作者单位: Smithsonian Tropical Research Institute, Ancon, Panama; Morton Arboretum, Lisle, IL, United States; Department of Ecology and Evolutionary Biology, University of California, Los Angeles, CA, United States; Center for Tropical Forest Science-Forest Global Earth Observatory, Smithsonian Tropical Research Institute, Panama City, Panama; Department of Botany, National Museum of Natural History, Washington, DC, United States
Recommended Citation:
Rutishauser E.,Wright S.J.,Condit R.,et al. Testing for changes in biomass dynamics in large-scale forest datasets[J]. Global Change Biology,2020-01-01,26(3)