Unveiling human-assisted dispersal mechanisms in invasive alien insects: Integration of spatial stochastic simulation and phenology models

Carrasco, L. Román; Mumford, John; MacLeod, Alan; Harwood, Thomas D.; Grabenweger, Giselher; Leach, Adrian; Knight, J. D.; Baker, Richard

doi:10.1016/j.ecolmodel.2010.05.012

Cited by 59 publications

(44 citation statements)

References 26 publications

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“…However, a growth rate of approximately 2 may not be enough to maintain D. v. virgifera populations over the long term with the application of control measures, particularly when the majority of maize fields in a region are rotated. However, population levels and the spread of D. v. virgifera in the USA and Europe do suggest that populations can increase despite rotation and control measures (Carrasco et al 2010). This indicates that an average growth rate of this species is in fact higher than 2.…”

Section: Discussionmentioning

confidence: 96%

Generational growth rate estimates of Diabrotica virgifera virgifera populations (Coleoptera: Chrysomelidae)

et al. 2010

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Modelling population dynamics of the maize pest Diabrotica virgifera virgifera LeConte (western corn rootworm; Coleoptera: Chrysomelidae) requires knowledge on the growth rate (=net reproductive rate) of the species. We investigated the generational (=annual) growth rate of D. v. virgifera in isolated maize fields in southern Hungary and eastern Croatia over several years. The population densities of D. v. virgifera were assessed by absolute counts of emerging adults in 90 gauze cages per study field. Emergence ranged from 1.3 to 30.7 adults per m 2 in continuous maize field sections, and from 0.3 to 5.1 adults per m 2 in adjacent first-year maize sections. The annual growth rates of D. v. virgifera ranged from 0.5 to 13, and averaged in close to 4. These experimentally assessed growth rates could complement growth estimates in population dynamic models, particularly those for forecasting the population growth to economic thresholds or for estimating population build-ups after new introductions of this alien species in Europe. As an example, the determined growth rate was used to estimate that the first documented successful introduction of this species into Europe occurred between 1979 and 1984, which is 8-13 years before the detection of this species and its larval damage in maize fields near Belgrade, Serbia, in 1992.

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Section: Discussionmentioning

confidence: 96%

Generational growth rate estimates of Diabrotica virgifera virgifera populations (Coleoptera: Chrysomelidae)

et al. 2010

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“…When these models do not fit the observed spread pattern because of long distance dispersal, stratified dispersal models that combine long distance jumps with local spread can be used [24], [25]. Some specific spread models have been developed to simulate the potential spread of a species taking into account human-assisted dispersal (e.g., [26]–[30]). These models address details of the life cycle and dispersal mechanisms, and they take considerable time and effort to develop, parameterise and test.…”

Section: Introductionmentioning

confidence: 99%

A Suite of Models to Support the Quantitative Assessment of Spread in Pest Risk Analysis

Robinet¹,

Kehlenbeck

Kriticos

et al. 2012

PLoS ONE

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Pest Risk Analyses (PRAs) are conducted worldwide to decide whether and how exotic plant pests should be regulated to prevent invasion. There is an increasing demand for science-based risk mapping in PRA. Spread plays a key role in determining the potential distribution of pests, but there is no suitable spread modelling tool available for pest risk analysts. Existing models are species specific, biologically and technically complex, and data hungry. Here we present a set of four simple and generic spread models that can be parameterised with limited data. Simulations with these models generate maps of the potential expansion of an invasive species at continental scale. The models have one to three biological parameters. They differ in whether they treat spatial processes implicitly or explicitly, and in whether they consider pest density or pest presence/absence only. The four models represent four complementary perspectives on the process of invasion and, because they have different initial conditions, they can be considered as alternative scenarios. All models take into account habitat distribution and climate. We present an application of each of the four models to the western corn rootworm, Diabrotica virgifera virgifera, using historic data on its spread in Europe. Further tests as proof of concept were conducted with a broad range of taxa (insects, nematodes, plants, and plant pathogens). Pest risk analysts, the intended model users, found the model outputs to be generally credible and useful. The estimation of parameters from data requires insights into population dynamics theory, and this requires guidance. If used appropriately, these generic spread models provide a transparent and objective tool for evaluating the potential spread of pests in PRAs. Further work is needed to validate models, build familiarity in the user community and create a database of species parameters to help realize their potential in PRA practice.

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“…Passive mechanisms can involve natural currents, such as winds or water flows that can sometimes carry individuals over long distances, or human activities, when the initial migrants are for instance introduced with transported goods (Kaňuch et al, 2013). Deciphering between natural and human-aided long-distance dispersal events may be difficult, even though anthropogenic dispersal usually occurs from (and to) urbanised areas or regions with active human transport networks such as large harbours, motorways and railways (Robinet et al, 2009;Carrasco et al, 2010;Kaň uch et al, 2013). Invasive species may colonize distant patches and new environments by long-distance dispersal and/or expand into adjacent habitats by regional diffusion.…”

Section: Introductionmentioning

confidence: 99%

Contrasted invasion processes imprint the genetic structure of an invasive scale insect across southern Europe

2014

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Deciphering the colonization processes by which introduced pests invade new areas is essential to limit the risk of further expansion and/or multiple introductions. We here studied the invasion history of the maritime pine bast scale Matsucoccus feytaudi. This host-specific insect does not cause any damage in its native area, but it devastated maritime pine forests of South-Eastern France where it was detected in the 1960s, and since then reached Italy and Corsica. We used population genetic approaches to infer the populations' recent evolutionary history from microsatellite markers and Approximate Bayesian Computation. Consistent with previous mitochondrial data, we showed that the native range is geographically strongly structured, which is probably due to the patchy distribution of the obligate host and the limited dispersal capacity of the scale. Our results show that the invasion history can be described in three successive steps involving different colonization and dispersal processes. During the mid-XXth century, massive introductions occurred from the Landes planted forest to SouthEastern France, probably due to transportation of infested wood material after World War II. Stepping-stone expansion, consistent with natural dispersal, then allowed M. feytaudi to reach the maritime pine forests of Liguria and Tuscany in Italy. The island of Corsica was accidentally colonized in the 1990s, and the most plausible scenario involves the introduction of a limited number of migrants from the forests of South-Eastern France and Liguria, which is consistent with an aerial dispersal due to the dominant winds that blow in spring in this region.

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Unveiling human-assisted dispersal mechanisms in invasive alien insects: Integration of spatial stochastic simulation and phenology models

Cited by 59 publications

References 26 publications

Generational growth rate estimates of Diabrotica virgifera virgifera populations (Coleoptera: Chrysomelidae)

Generational growth rate estimates of Diabrotica virgifera virgifera populations (Coleoptera: Chrysomelidae)

A Suite of Models to Support the Quantitative Assessment of Spread in Pest Risk Analysis

Contrasted invasion processes imprint the genetic structure of an invasive scale insect across southern Europe

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