DOI: 10.1016/j.foreco.2013.09.026
Scopus记录号: 2-s2.0-84888138909
论文题名: Temporal carbon dynamics of forests in Washington, US: Implications for ecological theory and carbon management
作者: Raymond C.L. ; McKenzie D.
刊名: Forest Ecology and Management
ISSN: 0378-1127
出版年: 2013
卷: 310 起始页码: 796
结束页码: 811
语种: 英语
英文关键词: Biomass
; Carbon
; Forest management
; Net primary productivity
; Pacific Northwest
Scopus关键词: Anthropogenic disturbance
; Biogeochemical process
; Ecosystem classification
; Forest inventory data
; Net primary productivity
; Pacific Northwest
; Spatial variability
; Temporal dynamics
; Biomass
; C (programming language)
; Carbon
; Digital storage
; Dynamics
; Ecosystems
; Forestry
; age structure
; anthropogenic effect
; bioaccumulation
; biomass
; carbon cycle
; carbon sequestration
; chronosequence
; coniferous forest
; disturbance
; ecological modeling
; empirical analysis
; forest ecosystem
; forest inventory
; net primary production
; riparian vegetation
; temporal analysis
; theoretical study
; vegetation structure
; Biomass
; Carbon
; Ecosystems
; Forest Management
; Forestry
; Okanagan Highlands
; Pacific Ocean
; Pacific Ocean (Northwest)
; United States
; Washington [United States]
; Conium
; Picea sitchensis
; Thuja plicata
; Tsuga heterophylla
英文摘要: We quantified carbon (C) dynamics of forests in Washington, US using theoretical models of C dynamics as a function of forest age. We fit empirical models to chronosequences of forest inventory data at two scales: a coarse-scale ecosystem classification (ecosections) and forest types (potential vegetation) within ecosections. We hypothesized that analysis at the finer scale of forest types would reduce variability, yielding better fitting models. We fit models for three temporal dynamics: accumulation of live biomass, accumulation of dead biomass, and net primary productivity (NPP). We compared fitted model parameters among ecosections and among forest types to determine differences in potential C storage and uptake. Models of live biomass C accumulation and NPP fit the data better at the scale of forest types, suggesting this finer scale is important for reducing variability. Model fit for dead biomass C accumulation depended more on the region than on the scale of analysis. Dead biomass C was highly variable and a relationship with forest age was found only in some forest types of the eastern Cascades and Okanogan Highlands. Indicators of C storage potential differed between forest types and differences were consistent with expectations based on spatial variability in climate. Across the study area, maximum live biomass C varied from 6.5 to 38.6kgCm-2 and the range of ages at which 90% of maximum is reached varied from 57 to 838years. Maximum NPP varied from 0.37 to 0.94kgCm-2yr-1 and the age of maximum NPP varied from 65 to 543yrs. Forests with the greatest C storage potential are wet forests of the western Cascades. Forests with the greatest potential NPP are 65-100-year-old mesic western redcedar-western hemlock forests and riparian forests, although limited data suggest maximum NPP of coastal sitka spruce forests may be even greater. The observed relationship between the ages at which maximum NPP and maximum live biomass are reached for a given forest type suggests that there is a trade-off between managing for maximum live biomass (storage) vs. NPP (uptake) in some forest types but an optimal age for C management in others. The empirical models of C dynamics in this study can be used to quantify the effects of age-class distributions on C storage and NPP for large areas composed of different forest types. Also, the models can be used to test the effects of current or future natural and anthropogenic disturbance regimes on C sequestration, providing an alternative to biogeochemical process models and stand-scale methods. © 2013 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/66282
Appears in Collections: 影响、适应和脆弱性
There are no files associated with this item.
作者单位: School of Forest Resources, University of Washington, Box 352100, Seattle, WA 98195-2100, United States; Pacific Wildland Fire Sciences Lab, Pacific Northwest Research Station, USDA Forest Service, 400 N. 34th St., Suite 201, Seattle, WA 98103, United States
Recommended Citation:
Raymond C.L.,McKenzie D.. Temporal carbon dynamics of forests in Washington, US: Implications for ecological theory and carbon management[J]. Forest Ecology and Management,2013-01-01,310