globalchange  > 影响、适应和脆弱性
DOI: 10.1111/gcb.13208
论文题名:
Predicting tree biomass growth in the temperate-boreal ecotone: Is tree size, age, competition, or climate response most important?
作者: Foster J.R.; Finley A.O.; D'Amato A.W.; Bradford J.B.; Banerjee S.
刊名: Global Change Biology
ISSN: 13541013
出版年: 2016
卷: 22, 期:6
起始页码: 2138
结束页码: 2151
语种: 英语
英文关键词: Annual climate variation ; Bayesian models ; Carbon sequestration ; Dendroecology ; Drought ; Evapotranspiration ; Forest biomass ; Spatial autocorrelation ; Temperature ; Tree growth response
Scopus关键词: age ; biomass ; boreal forest ; carbon sequestration ; climate effect ; competition (ecology) ; dendroecology ; drought ; ecotone ; growth response ; size ; temperate forest ; tree ; Acer saccharum ; Picea glauca ; Quercus rubra ; Acer ; biological model ; biomass ; climate change ; forest ; growth, development and aging ; Minnesota ; oak ; season ; spruce ; temperature ; tree ; Acer ; Biomass ; Climate Change ; Forests ; Minnesota ; Models, Biological ; Picea ; Quercus ; Seasons ; Temperature ; Trees
英文摘要: As global temperatures rise, variation in annual climate is also changing, with unknown consequences for forest biomes. Growing forests have the ability to capture atmospheric CO2 and thereby slow rising CO2 concentrations. Forests' ongoing ability to sequester C depends on how tree communities respond to changes in climate variation. Much of what we know about tree and forest response to climate variation comes from tree-ring records. Yet typical tree-ring datasets and models do not capture the diversity of climate responses that exist within and among trees and species. We address this issue using a model that estimates individual tree response to climate variables while accounting for variation in individuals' size, age, competitive status, and spatially structured latent covariates. Our model allows for inference about variance within and among species. We quantify how variables influence aboveground biomass growth of individual trees from a representative sample of 15 northern or southern tree species growing in a transition zone between boreal and temperate biomes. Individual trees varied in their growth response to fluctuating mean annual temperature and summer moisture stress. The variation among individuals within a species was wider than mean differences among species. The effects of mean temperature and summer moisture stress interacted, such that warm years produced positive responses to summer moisture availability and cool years produced negative responses. As climate models project significant increases in annual temperatures, growth of species like Acer saccharum, Quercus rubra, and Picea glauca will vary more in response to summer moisture stress than in the past. The magnitude of biomass growth variation in response to annual climate was 92-95% smaller than responses to tree size and age. This means that measuring or predicting the physical structure of current and future forests could tell us more about future C dynamics than growth responses related to climate change alone. © 2016 John Wiley & Sons Ltd.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/61393
Appears in Collections:影响、适应和脆弱性

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作者单位: Department of Forest Resources, University of Minnesota, 115 Green Hall, 1530 Cleveland Ave. N., St. Paul, MN, United States; Department of Forestry and Geography, Michigan State University, 126 Natural Resources Building, East Lansing, MI, United States; Rubenstein School of Environment and Natural Resources, University of Vermont, 204E Aiken Center, 81 Carrigan Drive, Burlington, VT, United States; US Geological Survey - Southwest Biological Science Center, Northern Arizona University, Building 20, P.O. Box 5614, Flagstaff, AZ, United States; Department of Biostatistics, UCLA School of Public Health, 254B CHS, Los Angeles, CA, United States

Recommended Citation:
Foster J.R.,Finley A.O.,D'Amato A.W.,et al. Predicting tree biomass growth in the temperate-boreal ecotone: Is tree size, age, competition, or climate response most important?[J]. Global Change Biology,2016-01-01,22(6)
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