DOI: 10.1016/j.foreco.2016.03.045
Scopus记录号: 2-s2.0-84965017210
论文题名: Long-term effects of pest-induced tree species change on carbon and nitrogen cycling in northeastern U.S. forests: A modeling analysis
作者: Crowley K.F. ; Lovett G.M. ; Arthur M.A. ; Weathers K.C.
刊名: Forest Ecology and Management
ISSN: 0378-1127
出版年: 2016
卷: 372 起始页码: 269
结束页码: 290
语种: 英语
英文关键词: Carbon
; Forest ecosystem model
; Invasive pests
; Nitrogen
; Northeastern U.S
; Tree species
Scopus关键词: Carbon
; Ecology
; Ecosystems
; Leaching
; Nitrates
; Nitrogen
; Soils
; Acer saccharum marsh
; Forest ecosystem
; Forest productivity
; Hemlock woolly adelgid
; Invasive pests
; Northeastern U.S
; Tree species
; Tree species composition
; Forestry
; carbon cycle
; community composition
; deciduous tree
; ecosystem modeling
; forest ecosystem
; forest floor
; invasive species
; leaching
; long-term change
; nitrogen cycle
; pest species
; soil carbon
; United States
; Acer rubrum
; Acer saccharum
; Adelgidae
; Betula alleghaniensis
; Fagus
; Fagus grandifolia
; Hexapoda
; Phytophthora ramorum
; Quercus rubra
; Tsuga canadensis
英文摘要: Invasive insects and pathogens can cause long-term changes in forest ecosystems by altering tree species composition, which can radically alter forest biogeochemistry. To examine how tree species change may alter long-term carbon (C) and nitrogen (N) cycling in northeastern U.S. forests, we developed a new forest ecosystem model, called Spe-CN, that allows species composition to shift over time. We simulated the effects of species change due to three invaders-beech bark disease (BBD), hemlock woolly adelgid (HWA), and sudden oak death (SOD)-on forest productivity, C storage, and N retention and loss over a 300-year period. The model predicted changes in C and N cycling rates and distribution between vegetation and soils after stands were invaded, with the magnitude, direction, and timing dependent on tree species identity. For a stand in which sugar maple (Acer saccharum Marsh.) replaced American beech (Fagus grandifolia Ehrh.) due to BBD, the model predicted a change from net C loss (-13% after 100 years) to net C storage (+10% after 300 years), as plant C gain (+36%) overtook C loss from soils (-11%) and downed wood (-24%). Following replacement of eastern hemlock (Tsuga canadensis (L.) Carr.) by yellow birch (Betula alleghaniensis Britt.) due to HWA, early loss of forest floor C (-28% after 100 years) was exceeded by gain of plant and downed wood C after 145 years; by 300 years, total C differed little between invaded and un-invaded stands. Where red maple (Acer rubrum L.) replaced red oak (Quercus rubra L.) due to SOD, loss of plant and soil C generated net C loss (-29%) after 100 years that continued thereafter. In contrast to C, for which patterns of storage and loss differed considerably among invasion scenarios, total N was ultimately lower following invasion across all three scenarios. Predicted nitrate leaching was also correspondingly higher in invaded vs. un-invaded stands (+0.3 g m-2 year-1 of N from nitrate), but the leaching increase lagged by nearly 100 years following HWA invasion. Together, these results demonstrate that the effects of pest-induced tree species change on forest C and N cycling vary in magnitude, direction of effect, and timing of response following invasion, depending on the identity of the declining and replacing species, and that species-specific modeling can help elucidate this variation. Future predictions will need to account for tree species change to generate meaningful estimates of C and N storage and loss. © 2016 Elsevier B.V.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/64902
Appears in Collections: 影响、适应和脆弱性
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作者单位: Cary Institute of Ecosystem Studies, Box AB, 2801 Sharon Turnpike, Millbrook, NY, United States; Dept. of Forestry, University of Kentucky, 103 TP Cooper Building, Lexington, KY, United States
Recommended Citation:
Crowley K.F.,Lovett G.M.,Arthur M.A.,et al. Long-term effects of pest-induced tree species change on carbon and nitrogen cycling in northeastern U.S. forests: A modeling analysis[J]. Forest Ecology and Management,2016-01-01,372