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  • 1
    Publication Date: 2022-05-25
    Description: Author Posting. © University of Chicago, 2011. This article is posted here by permission of University of Chicago for personal use, not for redistribution. The definitive version was published in American Naturalist 177 (2011): 549-561, doi:10.1086/659628.
    Description: Population models that combine demography and dispersal are important tools for forecasting the spatial spread of biological invasions. Current models describe the dynamics of only one sex (typically females). Such models cannot account for the sex-related biases in dispersal and mating behavior that are typical of many animal species. In this article, we construct a two-sex integrodifference equation model that overcomes these limitations. We derive an explicit formula for the invasion speed from the model and use it to show that sex-biased dispersal may significantly increase or decrease the invasion speed by skewing the operational sex ratio at the invasion’s low-density leading edge. Which of these possible outcomes occurs depends sensitively on complex interactions among the direction of dispersal bias, the magnitude of bias, and the relative contributions of females and males to local population growth.
    Description: This work was supported in part by a Woods Hole Oceanographic Institution Summer Student Fellowship and a National Science Foundation (NSF) Graduate Research Fellowship to A.K.S., USDA grants to T.E.X.M. (CSREES-2007–02270), and NSF grants to M.G.N. (DEB-0235692) and to B.D.I. (DEB-0816838). T.E.X.M. was also supported by the Rice University Huxley Fellowship; M.G.N. also acknowledges support fromthe AndrewW. Mellon Foundation Endowed Fund for Innovative Research.
    Keywords: Integrodifference equations ; Invasion speed ; Mating functions ; Marriage squeeze ; Sex-biased dispersal ; Spatial spread
    Repository Name: Woods Hole Open Access Server
    Type: Article
    Format: application/pdf
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  • 2
    Publication Date: 2022-05-25
    Description: Author Posting. © University of Chicago Press, 2015. This article is posted here by permission of University of Chicago Press for personal use, not for redistribution. The definitive version was published in American Naturalist 186 (2015): 362-375, doi:10.1086/682276.
    Description: Some of the most fundamental quantities in population ecology describe the growth and spread of populations. Population dynamics are often characterized by the annual rate of increase, λ, or the generational rate of increase, R0. Analyses involving R0 have deepened our understanding of disease dynamics and life-history complexities beyond that afforded by analysis of annual growth alone. While range expansion is quantified by the annual spreading speed, a spatial analog of λ, an R0-like expression for the rate of spread is missing. Using integrodifference models, we derive the appropriate generational spreading speed for populations with complex (stage-structured) life histories. The resulting measure, relevant to locations near the expanding edge of a (re)colonizing population, incorporates both local population growth and explicit spatial dispersal rather than solely growth across a population, as is the case for R0. The calculations for generational spreading speed are often simpler than those for annual spreading speed, and analytic or partial analytic solutions can yield insight into the processes that facilitate or slow a population’s spatial spread. We analyze the spatial dynamics of green crabs, sea otters, and teasel as examples to demonstrate the flexibility of our methods and the intuitive insights that they afford.
    Description: Support for this work was provided, in part, by a postdoctoral fellowship (A.W.B.), Discovery Grants (M.K., M.A.L.), and an Accelerator Grant (M.A.L.) from the Natural Sciences and Engineering Research Council of Canada. The material is based on work supported by the US National Science Foundation under grants DEB-1145017 and DEB-1257545 to M.G.N. M.A.L. also received support from the Canada Research Chair program and a Killam Research Fellowship.
    Description: 2016-08-06
    Keywords: Generational spreading speed ; Stage structure ; Invasion speed ; Integrodifference models ; Recolonization ; Net reproductive number ; Graph reduction ; Next-generation operator
    Repository Name: Woods Hole Open Access Server
    Type: Article
    Format: application/pdf
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  • 3
    Publication Date: 2022-05-26
    Description: Author Posting. © The Author(s), 2017. This is the author's version of the work. It is posted here under a nonexclusive, irrevocable, paid-up, worldwide license granted to WHOI. It is made available for personal use, not for redistribution. The definitive version was published in Journal of Animal Ecology 87 (2018): 36-46, doi:10.1111/1365-2656.12658.
    Description: The rate at which a population grows and spreads can depend on individual behaviour and interactions with others. In many species with two sexes, males and females differ in key life history traits (e.g. growth, survival, dispersal), which can scale up to affect population rates of growth and spread. In sexually reproducing species, the mechanics of locating mates and reproducing successfully introduce further complications for predicting the invasion speed (spread rate), as both can change nonlinearly with density. Most models of population spread are based on one sex, or include limited aspects of sex differences. Here we ask whether and how the dynamics of finding mates interact with sex-specific life history traits to influence the rate of population spread. We present a hybrid approach for modelling invasions of populations with two sexes that links individual-level mating behaviour (in an individual based model) to population-level dynamics (in an integrodifference equation model). We find that limiting the amount of time during which individuals can search for mates causes a demographic Allee effect which can slow, delay or even prevent an invasion. Furthermore, any sex-based asymmetries in life history or behaviour (skewed sex ratio, sex-biased dispersal, sex-specific mating behaviours) amplify these effects. In contrast, allowing individuals to mate more than once ameliorates these effects, enabling polygynandrous populations to invade under conditions where monogamously mating populations would fail to establish. We show that details of individuals' mating behaviour can impact the rate of population spread. Based on our results, we propose a stricter definition of a mate-finding Allee effect, which is not met by the commonly used minimum mating function. Our modelling approach, which links individual and population-level dynamics in a single model, may be useful for exploring other aspects of individual behaviour that are thought to impact the rate of population spread.
    Description: This material is based upon work supported by the National Science Foundation under Grant No. OISE-1159097 to AKS and Grant No. DEB-1145017 to MGN.
    Keywords: Integrodifference equations ; Invasion speed ; Mate-finding Allee effect ; Mating functions ; Sex-biased dispersal ; Spatial spread
    Repository Name: Woods Hole Open Access Server
    Type: Preprint
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