DOI: 10.1111/gcb.12565
论文题名: Predicting the responsiveness of soil biodiversity to deforestation: A cross-biome study
作者: Crowther T.W. ; Maynard D.S. ; Leff J.W. ; Oldfield E.E. ; Mcculley R.L. ; Fierer N. ; Bradford M.A.
刊名: Global Change Biology
ISSN: 13541013
出版年: 2014
卷: 20, 期: 9 起始页码: 2983
结束页码: 2994
语种: 英语
英文关键词: Deforestation
; Ecosystem functioning
; Metagenomic sequencing
; Microbial community
; Soil Biodiversity
Scopus关键词: biodiversity
; biome
; community composition
; deforestation
; ecosystem function
; microbial community
; prediction
; soil biota
; soil texture
; vegetation dynamics
; vegetation type
; carbon dioxide
; fatty acid
; soil
; analysis of variance
; biodiversity
; chemistry
; comparative study
; environmental protection
; forest
; genetics
; high throughput sequencing
; metabolism
; microbiology
; microflora
; molecular genetics
; nucleotide sequence
; Puerto Rico
; soil
; species difference
; statistical model
; statistics and numerical data
; United States
; Analysis of Variance
; Base Sequence
; Biodiversity
; Carbon Dioxide
; Conservation of Natural Resources
; Fatty Acids
; Forests
; High-Throughput Nucleotide Sequencing
; Linear Models
; Microbiota
; Molecular Sequence Data
; Puerto Rico
; Soil
; Soil Microbiology
; Species Specificity
; United States
英文摘要: The consequences of deforestation for aboveground biodiversity have been a scientific and political concern for decades. In contrast, despite being a dominant component of biodiversity that is essential to the functioning of ecosystems, the responses of belowground biodiversity to forest removal have received less attention. Single-site studies suggest that soil microbes can be highly responsive to forest removal, but responses are highly variable, with negligible effects in some regions. Using high throughput sequencing, we characterize the effects of deforestation on microbial communities across multiple biomes and explore what determines the vulnerability of microbial communities to this vegetative change. We reveal consistent directional trends in the microbial community response, yet the magnitude of this vegetation effect varied between sites, and was explained strongly by soil texture. In sandy sites, the difference in vegetation type caused shifts in a suite of edaphic characteristics, driving substantial differences in microbial community composition. In contrast, fine-textured soil buffered microbes against these effects and there were minimal differences between communities in forest and grassland soil. These microbial community changes were associated with distinct changes in the microbial catabolic profile, placing community changes in an ecosystem functioning context. The universal nature of these patterns allows us to predict where deforestation will have the strongest effects on soil biodiversity, and how these effects could be mitigated. © 2014 John Wiley & Sons Ltd. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/62199
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 Forestry and Environmental Studies, Yale University, New Haven, CT, 06511, United States; Department of Ecology and Evolutionary Biology, University of Colorado, Boulder, CO, 80309, United States; Department of Plant and Soil Sciences, University of Kentucky, Ag Science Center North, Lexington, KY, 40546, United States
Recommended Citation:
Crowther T.W.,Maynard D.S.,Leff J.W.,et al. Predicting the responsiveness of soil biodiversity to deforestation: A cross-biome study[J]. Global Change Biology,2014-01-01,20(9)