globalchange  > 气候减缓与适应
DOI: 10.1111/ele.12789
Scopus记录号: 2-s2.0-85021270001
论文题名:
Moving forward in circles: challenges and opportunities in modelling population cycles
作者: 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.
刊名: Ecology Letters
ISSN: 1461023X
EISSN: 1461-0248
出版年: 2017
卷: 20, 期:8
起始页码: 1074
结束页码: 1092
语种: 英语
英文关键词: Chaos ; cycle loss ; evolution ; forcing ; mechanistic models ; population fluctuations ; predator-prey ; stochasticity ; synchrony
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
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
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/107582
Appears in Collections:气候减缓与适应

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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 Science, Osnabrück University, Osnabrück, Germany; Integrative Wildlife Conservation Lab, Trent University, Peterborough, ON, Canada; Department of Entomology, Cornell University, Ithaca, NY, United States; Department of Integrative Biology, University of South Florida, Tampa, FL, United States; Department of Fisheries, Wildlife, and Conservation Biology, University of Minnesota, Saint Paul, MN, United States; Department of Mathematics and Statistics, McMaster University, Hamilton, ON, Canada; Department of Mathematics and Statistics, University of British Columbia Okanagan, Kelowna, BC, Canada

Recommended Citation:
Barraquand F.,Louca S.,Abbott K.C.,et al. Moving forward in circles: challenges and opportunities in modelling population cycles[J]. Ecology Letters,2017-01-01,20(8)
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