DOI: 10.1111/gcb.12392
论文题名: Changes in the structure and function of northern Alaskan ecosystems when considering variable leaf-out times across groupings of species in a dynamic vegetation model
作者: Euskirchen E.S. ; Carman T.B. ; Mcguire A.D.
刊名: Global Change Biology
ISSN: 13541013
出版年: 2014
卷: 20, 期: 3 起始页码: 963
结束页码: 978
语种: 英语
英文关键词: Arctic tundra
; Carbon cycling
; Dynamic vegetation model
; Ecosystem composition
; Ecotonal boreal forest
; Leaf phenology
Scopus关键词: air temperature
; algorithm
; arctic environment
; carbon cycle
; ecosystem approach
; ecosystem dynamics
; leaf
; nitrogen cycle
; phenology
; shrub
; tundra
; vegetation cover
; vegetation dynamics
; Alaska
; United States
; Betula nana
; Carex
; Picea glauca
; Poaceae
; Salix
; algorithm
; arctic tundra
; article
; carbon cycling
; dynamic vegetation model
; ecosystem
; ecosystem composition
; ecotonal boreal forest
; growth, development and aging
; leaf phenology
; plant leaf
; season
; species difference
; temperature
; theoretical model
; United States
; Arctic tundra
; carbon cycling
; dynamic vegetation model
; ecosystem composition
; ecotonal boreal forest
; leaf phenology
; Alaska
; Algorithms
; Ecosystem
; Models, Theoretical
; Plant Leaves
; Seasons
; Species Specificity
; Temperature
英文摘要: The phenology of arctic ecosystems is driven primarily by abiotic forces, with temperature acting as the main determinant of growing season onset and leaf budburst in the spring. However, while the plant species in arctic ecosystems require differing amounts of accumulated heat for leaf-out, dynamic vegetation models simulated over regional to global scales typically assume some average leaf-out for all of the species within an ecosystem. Here, we make use of air temperature records and observations of spring leaf phenology collected across dominant groupings of species (dwarf birch shrubs, willow shrubs, other deciduous shrubs, grasses, sedges, and forbs) in arctic and boreal ecosystems in Alaska. We then parameterize a dynamic vegetation model based on these data for four types of tundra ecosystems (heath tundra, shrub tundra, wet sedge tundra, and tussock tundra), as well as ecotonal boreal white spruce forest, and perform model simulations for the years 1970-2100. Over the course of the model simulations, we found changes in ecosystem composition under this new phenology algorithm compared with simulations with the previous phenology algorithm. These changes were the result of the differential timing of leaf-out, as well as the ability for the groupings of species to compete for nitrogen and light availability. Regionally, there were differences in the trends of the carbon pools and fluxes between the new phenology algorithm and the previous phenology algorithm, although these differences depended on the future climate scenario. These findings indicate the importance of leaf phenology data collection by species and across the various ecosystem types within the highly heterogeneous Arctic landscape, and that dynamic vegetation models should consider variation in leaf-out by groupings of species within these ecosystems to make more accurate projections of future plant distributions and carbon cycling in Arctic regions. © 2013 John Wiley & Sons Ltd. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/61976
Appears in Collections: 影响、适应和脆弱性
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作者单位: Institute of Arctic Biology, University of Alaska Fairbanks, Fairbanks, AK 99775, United States; U.S. Geological Survey, Alaska Cooperative Fish and Wildlife Unit, University of Alaska Fairbanks, Fairbanks, AK 99775, United States
Recommended Citation:
Euskirchen E.S.,Carman T.B.,Mcguire A.D.. Changes in the structure and function of northern Alaskan ecosystems when considering variable leaf-out times across groupings of species in a dynamic vegetation model[J]. Global Change Biology,2014-01-01,20(3)