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DOI10.1111/ele.12789
Moving forward in circles: challenges and opportunities in modelling population cycles
Barraquand F.; Louca S.; Abbott K.C.; Cobbold C.A.; Cordoleani F.; DeAngelis D.L.; Elderd B.D.; Fox J.W.; Greenwood P.; Hilker F.M.; Murray D.L.; Stieha C.R.; Taylor R.A.; Vitense K.; Wolkowicz G.S.K.; Tyson R.C.
发表日期2017
ISSN1461-023X
EISSN1461-0248
卷号20期号:8
英文摘要Population cycling is a widespread phenomenon, observed across a multitude of taxa in both laboratory and natural conditions. Historically, the theory associated with population cycles was tightly linked to pairwise consumer–resource interactions and studied via deterministic models, but current empirical and theoretical research reveals a much richer basis for ecological cycles. Stochasticity and seasonality can modulate or create cyclic behaviour in non-intuitive ways, the high-dimensionality in ecological systems can profoundly influence cycling, and so can demographic structure and eco-evolutionary dynamics. An inclusive theory for population cycles, ranging from ecosystem-level to demographic modelling, grounded in observational or experimental data, is therefore necessary to better understand observed cyclical patterns. In turn, by gaining better insight into the drivers of population cycles, we can begin to understand the causes of cycle gain and loss, how biodiversity interacts with population cycling, and how to effectively manage wildly fluctuating populations, all of which are growing domains of ecological research. © 2017 John Wiley & Sons Ltd/CNRS
英文关键词Chaos; cycle loss; evolution; forcing; mechanistic models; population fluctuations; predator-prey; stochasticity; synchrony
学科领域biodiversity; chaotic dynamics; demography; ecological approach; evolution; inclusive fitness; numerical model; population dynamics; population theory; predator-prey interaction; seasonality; stochasticity; synchrony; animal; biodiversity; ecosystem; evolution; population density; population dynamics; predation; Animals; Biodiversity; Biological Evolution; Ecosystem; Population Density; Population Dynamics; Predatory Behavior
语种英语
scopus关键词biodiversity; chaotic dynamics; demography; ecological approach; evolution; inclusive fitness; numerical model; population dynamics; population theory; predator-prey interaction; seasonality; stochasticity; synchrony; animal; biodiversity; ecosystem; evolution; population density; population dynamics; predation; Animals; Biodiversity; Biological Evolution; Ecosystem; Population Density; Population Dynamics; Predatory Behavior
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/118358
作者单位Department of Arctic and Marine Biology, University of Tromsø, Tromsø, Norway; Integrative and Theoretical Ecology Chair, LabEx COTE, University of Bordeaux, Pessac, France; Institute of Applied Mathematics, University of British Columbia, Vancouver, BC, Canada; Department of Biology, Case Western Reserve University, Cleveland, OH, United States; School of Mathematics and Statistics, University of Glasgow, Glasgow, United Kingdom; Institute of Marine Science, University of California Santa Cruz, Santa Cruz, CA, United States; Southwest Fisheries Science Center, Santa Cruz, CA, United States; US Geological Survey, Wetland and Aquatic Research Center, Gainesville, FL, United States; Department of Biological Sciences, Lousiana State University, Baton Rouge, LA, United States; Department of Biological Sciences, University of Calgary, Calgary, AB, Canada; Department of Mathematics, University of British Columbia, Vancouver, BC, Canada; Institute of Environmental Systems Research, School of Mathematics/Computer...
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Barraquand F.,Louca S.,Abbott K.C.,et al. Moving forward in circles: challenges and opportunities in modelling population cycles[J],2017,20(8).
APA Barraquand F..,Louca S..,Abbott K.C..,Cobbold C.A..,Cordoleani F..,...&Tyson R.C..(2017).Moving forward in circles: challenges and opportunities in modelling population cycles.Ecology Letters,20(8).
MLA Barraquand F.,et al."Moving forward in circles: challenges and opportunities in modelling population cycles".Ecology Letters 20.8(2017).
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