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DOI	10.1111/ele.12892
	Interactive life-history traits predict sensitivity of plants and animals to temporal autocorrelation
	Paniw M.; Ozgul A.; Salguero-Gómez R.
发表日期	2019
ISSN	1461023X
卷号	21 期号:2
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
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
语种	英语
scopus关键词	Animalia; animal; life history trait; plant; population dynamics; reproduction; Animals; Life History Traits; Plants; Population Dynamics; Reproduction
来源期刊	Ecology Letters
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/121157
作者单位	Department of Evolutionary Biology and Environmental Studies, University of Zurich, Zurich, 8057, Switzerland; Department Biology, University of Cadiz, Puerto Real, 11510, Spain; Department of Zoology, Oxford University, New Radcliffe House, Radcliffe Observatory Quarter, Woodstock Rd, Oxford, OX2 6GG, United Kingdom; Department of Animal & Plant Sciences, University of Sheffield, Alfred Denny Building, Western Bank, Sheffield, S10 2TN, United Kingdom; Centre for Biodiversity and Conservation Science, University of Queensland, St Lucia, QLD 4071, Australia; Evolutionary Demography Laboratory, Max Plank Institute for Demographic Research, Rostock, 18057, Germany
推荐引用方式 GB/T 7714	Paniw M.,Ozgul A.,Salguero-Gómez R.. Interactive life-history traits predict sensitivity of plants and animals to temporal autocorrelation[J],2019,21(2).
APA	Paniw M.,Ozgul A.,&Salguero-Gómez R..(2019).Interactive life-history traits predict sensitivity of plants and animals to temporal autocorrelation.Ecology Letters,21(2).
MLA	Paniw M.,et al."Interactive life-history traits predict sensitivity of plants and animals to temporal autocorrelation".Ecology Letters 21.2(2019).