Modelling the dynamics of invasion and control of competing green crab genotypes

Kanary, Lisa; Musgrave, Jeffrey; Tyson, Richard V.; Locke, Andrea; Lutscher, Frithjof

doi:10.1007/s12080-014-0226-8

Cited by 20 publications

(24 citation statements)

References 35 publications

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“…Recent developments include modelling competing genotypes of pest species (Kanary et al . ) and calculating more accurate spread speeds for stage‐structured invasives (Bateman et al . ).…”

Section: Extending Mhms: Potential Applications To Global Change Biologymentioning

confidence: 99%

“…IDEs have a long history of use for invasive species. Recent developments include modelling competing genotypes of pest species (Kanary et al 2014) and calculating more accurate spread speeds for stage-structured invasives (Bateman et al 2015). An interesting way to incorporate climate change would be to develop the IDE analogue of the RDE found in Li et al (2014).…”

Section: Extending Mhms: Potential Applications To Global Change Biologymentioning

confidence: 99%

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Moving forward: insights and applications of moving‐habitat models for climate change ecology

et al. 2017

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Summary Predicting and managing species’ responses to climate change is one of the most significant challenges of our time. Tools are needed to address problems associated with novel climatic conditions, biotic interactions and greater climate velocities. We present a spatially explicit moving‐habitat model (MHM) and demonstrate its versatility in tackling critical questions in climate change research, including dispersal in multiple spatial dimensions, population stage structure, interspecific interactions, asymmetric range shifts, Allee effects and the presence of infectious diseases. The model utilizes integrodifference equations to track changes in population density over time in a habitat that is moving. The model is quite flexible and can accommodate variation in demography, dispersal patterns, biotic interaction and stochasticity in the velocity of climate change. The methods provide a general mechanistic understanding of the underlying ecological processes that drive a system. Field data can be readily incorporated into the model to give insight into specific populations of interest and inform management decisions. Synthesis. Moving‐habitat models unite ecological theory, data‐centred modelling and conservation decision support under a single framework. Their ability to generate testable hypotheses, incorporate data and inform best management practices proves that these models provide a valuable framework for climate change biologists.

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Section: Extending Mhms: Potential Applications To Global Change Biologymentioning

confidence: 99%

Section: Extending Mhms: Potential Applications To Global Change Biologymentioning

confidence: 99%

Moving forward: insights and applications of moving‐habitat models for climate change ecology

et al. 2017

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“…Here, we use the concept of generational wave speed to explore the stall of the original C. maenas invasion near Halifax and, on the basis of previously published survival and dispersal estimates, produce an analytical estimate for a notoriously difficult-to-estimate parameter-per-adult larval recruitment. Kanary et al (2014) have presented an alternative IDE model that considers green crab competition; however, we use a simplified model for the purposes of illustration.…”

Section: European Green Crabmentioning

confidence: 99%

Generational Spreading Speed and the Dynamics of Population Range Expansion

Bateman

Neubert

Krkošek

et al. 2015

The American Naturalist

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JSTOR is a not-for-profit service that helps scholars, researchers, and students discover, use, and build upon a wide range of content in a trusted digital archive. We use information technology and tools to increase productivity and facilitate new forms of scholarship. For more information about JSTOR, please contact support@jstor.org.. Online enhancement: appendix.abstract: 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, l, or the generational rate of increase, R 0 . Analyses involving R 0 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 l, an R 0 -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 R 0 . 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.

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“…The species' expansion northward from southern Nova Scotia was found to be associated with a second introduction, from northern Europe, probably Norway, around 1980, rather than being a northward expansion of the original introduction in the early 1800's that was derived from a source in south-central Europe [10,17,18,27,[45][46][47]. A model of the invasion dynamics predicted that the two lineages would overlap only in the neighborhood of the invasion fronts, a region approximately 100-200 km wide [48] but in fact the original and later introductions have extensively interbred, leading to genetic admixture throughout much of the species' northwestern Atlantic range [10,14,17,45,46,49].…”

Section: Northwestern Atlantic Nonindigenous Populationmentioning

confidence: 99%

Life History and Population Dynamics of Green Crabs (Carcinus maenas)

Young

Elliott

2019

Fishes

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Carcinus maenas (the “shore crab” or “European green crab”) is a very proficient invader (considered to be one of the world’s 100 worst invaders by the IUCN) due to its phenotypic plasticity, wide temperature and salinity tolerance, and an extensive omnivorous diet. Native to Atlantic Europe, it has established two well-studied nonindigenous populations in the northwestern Atlantic and northeastern Pacific and less-studied populations in Australia, Argentina and South Africa. Green crabs are eurythermal and euryhaline as adults, but they are limited to temperate coastlines due to more restrictive temperature requirements for breeding and larval development. They cannot tolerate wave-swept open shores so are found in wave-protected sheltered bays, estuaries and harbors. Carcinus maenas has been the subject of numerous papers, with over 1000 published in the past decade. This review provides an up-to-date account of the current published information on the life history and population dynamics of this very important species, including genetic differentiation, habitat preferences, physical parameter tolerances, reproduction and larval development, sizes of crabs, densities of populations, sex ratios, ecosystem dynamics and ecological impacts in the various established global populations of green crabs.

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Modelling the dynamics of invasion and control of competing green crab genotypes

Cited by 20 publications

References 35 publications

Moving forward: insights and applications of moving‐habitat models for climate change ecology

Moving forward: insights and applications of moving‐habitat models for climate change ecology

Generational Spreading Speed and the Dynamics of Population Range Expansion

Life History and Population Dynamics of Green Crabs (Carcinus maenas)

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