DOI: 10.1111/gcb.12375
论文题名: Evidence for strong seasonality in the carbon storage and carbon use efficiency of an Amazonian forest
作者: Rowland L. ; Hill T.C. ; Stahl C. ; Siebicke L. ; Burban B. ; Zaragoza-Castells J. ; Ponton S. ; Bonal D. ; Meir P. ; Williams M.
刊名: Global Change Biology
ISSN: 13541013
出版年: 2014
卷: 20, 期: 3 起始页码: 979
结束页码: 991
语种: 英语
英文关键词: Carbon use efficiency
; DALEC
; Data assimilation
; Ecosystem respiration
; French Guiana
; Seasonal carbon fluxes
; Tropical forest
Scopus关键词: biomass allocation
; carbon cycle
; carbon flux
; carbon sequestration
; data assimilation
; mass balance
; primary production
; respiration
; seasonal variation
; seasonality
; tropical forest
; Amazonia
; French Guiana
; water
; article
; carbon cycle
; carbon use efficiency
; chemistry
; DALEC
; data assimilation
; ecosystem respiration
; French Guiana
; season
; seasonal carbon fluxes
; soil
; theoretical model
; tree
; tropic climate
; tropical rain forest
; carbon use efficiency
; DALEC
; data assimilation
; ecosystem respiration
; French Guiana
; seasonal carbon fluxes
; tropical forest
; Carbon Cycle
; Models, Theoretical
; Seasons
; Soil
; Trees
; Tropical Climate
; Water
英文摘要: The relative contribution of gross primary production and ecosystem respiration to seasonal changes in the net carbon flux of tropical forests remains poorly quantified by both modelling and field studies. We use data assimilation to combine nine ecological time series from an eastern Amazonian forest, with mass balance constraints from an ecosystem carbon cycle model. The resulting analysis quantifies, with uncertainty estimates, the seasonal changes in the net carbon flux of a tropical rainforest which experiences a pronounced dry season. We show that the carbon accumulation in this forest was four times greater in the dry season than in the wet season and that this was accompanied by a 5% increase in the carbon use efficiency. This seasonal response was caused by a dry season increase in gross primary productivity, in response to radiation and a similar magnitude decrease in heterotrophic respiration, in response to drying soils. The analysis also predicts increased carbon allocation to leaves and wood in the wet season, and greater allocation to fine roots in the dry season. This study demonstrates implementation of seasonal variations in parameters better enables models to simulate observed patterns in data. In particular, we highlight the necessity to simulate the seasonal patterns of heterotrophic respiration to accurately simulate the net carbon flux seasonal tropical forest. © 2013 The Authors Global Change Biology Published by John Wiley & Sons Ltd. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/61977
Appears in Collections: 影响、适应和脆弱性
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作者单位: School of Geosciences, University of Edinburgh, Edinburgh, EH9 3JN, United Kingdom; Earth and Environmental Sciences, University of St Andrews, Fife, KY16 9AL, United Kingdom; INRA, UMR-ECOFOG, Kourou, France; INRA, UMR 1137 Ecologie et Ecophysiologie Forestières, Champenoux, 54280, France; Research School of Biology, Division of Plant Sciences, Australian National University, Canberra, ACT, 0200, Australia
Recommended Citation:
Rowland L.,Hill T.C.,Stahl C.,et al. Evidence for strong seasonality in the carbon storage and carbon use efficiency of an Amazonian forest[J]. Global Change Biology,2014-01-01,20(3)