DOI: 10.1111/ele.12691
Scopus记录号: 2-s2.0-84995569479
论文题名: Extrapolating demography with climate, proximity and phylogeny: approach with caution
作者: Coutts S.R. ; Salguero-Gómez R. ; Csergő A.M. ; Buckley Y.M.
刊名: Ecology Letters
ISSN: 1461023X
EISSN: 1461-0248
出版年: 2016
卷: 19, 期: 12 起始页码: 1429
结束页码: 1438
语种: 英语
英文关键词: COMPADRE Plant Matrix Database
; comparative demography
; damping ratio
; elasticity
; matrix population model
; phylogenetic analysis
; population growth rate (λ)
; spatially lagged models
Scopus关键词: classification
; climate
; demography
; ecosystem
; factual database
; genetics
; phylogeny
; plant
; plant physiology
; species difference
; statistical model
; Climate
; Databases, Factual
; Demography
; Ecosystem
; Models, Statistical
; Phylogeny
; Plant Physiological Phenomena
; Plants
; Species Specificity
英文摘要: Plant population responses are key to understanding the effects of threats such as climate change and invasions. However, we lack demographic data for most species, and the data we have are often geographically aggregated. We determined to what extent existing data can be extrapolated to predict population performance across larger sets of species and spatial areas. We used 550 matrix models, across 210 species, sourced from the COMPADRE Plant Matrix Database, to model how climate, geographic proximity and phylogeny predicted population performance. Models including only geographic proximity and phylogeny explained 5–40% of the variation in four key metrics of population performance. However, there was poor extrapolation between species and extrapolation was limited to geographic scales smaller than those at which landscape scale threats typically occur. Thus, demographic information should only be extrapolated with caution. Capturing demography at scales relevant to landscape level threats will require more geographically extensive sampling. © 2016 John Wiley & Sons Ltd/CNRS Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/107690
Appears in Collections: 气候减缓与适应
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作者单位: School of Biological Sciences, Centre for Biodiversity and Conservation Science, The University of Queensland, St Lucia, QLD, Australia; Department of Animal and Plant Sciences, University of Sheffield, Western Bank, Sheffield, United Kingdom; School of Natural Sciences, Zoology, Trinity College Dublin, Dublin 2, Ireland; Evolutionary Demography Laboratory, Max Planck Institute for Demographic Research, Rostock, Germany
Recommended Citation:
Coutts S.R.,Salguero-Gómez R.,Csergő A.M.,et al. Extrapolating demography with climate, proximity and phylogeny: approach with caution[J]. Ecology Letters,2016-01-01,19(12)