globalchange  > 气候减缓与适应
DOI: 10.1111/ele.12892
Scopus记录号: 2-s2.0-85040795746
论文题名:
Interactive life-history traits predict sensitivity of plants and animals to temporal autocorrelation
作者: Paniw M.; Ozgul A.; Salguero-Gómez R.
刊名: Ecology Letters
ISSN: 1461023X
EISSN: 1461-0248
出版年: 2018
卷: 21, 期:2
起始页码: 275
结束页码: 286
语种: 英语
英文关键词: Environmental variation ; fast–slow continuum ; life-history strategy ; matrix population model ; multivariate analysis ; population projections ; reproductive strategy ; seed dormancy ; vital rates
Scopus关键词: Animalia
英文摘要: Temporal autocorrelation in demographic processes is an important aspect of population dynamics, but a comprehensive examination of its effects on different life-history strategies is lacking. We use matrix population models from 454 plant and animal populations to simulate stochastic population growth rates (log λs) under different temporal autocorrelations in demographic rates, using simulated and observed covariation among rates. We then test for differences in sensitivities, or changes of log λs to changes in autocorrelation among two major axes of life-history strategies, obtained from phylogenetically informed principal component analysis: the fast-slow and reproductive-strategy continua. Fast life histories exhibit highest sensitivities to simulated autocorrelation in demographic rates across reproductive strategies. Slow life histories are less sensitive to temporal autocorrelation, but their sensitivities increase among highly iteroparous species. We provide cross-taxonomic evidence that changes in the autocorrelation of environmental variation may affect a wide range of species, depending on complex interactions of life-history strategies. © 2017 John Wiley & Sons Ltd/CNRS
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/107506
Appears in Collections:气候减缓与适应

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作者单位: Department of Evolutionary Biology and Environmental Studies, University of Zurich, Zurich, Switzerland; Department Biology, University of Cadiz, Puerto Real, Spain; Department of Zoology, Oxford University, New Radcliffe House, Radcliffe Observatory Quarter, Woodstock Rd, Oxford, United Kingdom; Department of Animal & Plant Sciences, University of Sheffield, Alfred Denny Building, Western Bank, Sheffield, United Kingdom; Centre for Biodiversity and Conservation Science, University of Queensland, St Lucia, QLD, Australia; Evolutionary Demography Laboratory, Max Plank Institute for Demographic Research, Rostock, Germany

Recommended Citation:
Paniw M.,Ozgul A.,Salguero-Gómez R.. Interactive life-history traits predict sensitivity of plants and animals to temporal autocorrelation[J]. Ecology Letters,2018-01-01,21(2)
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