Evolution of dispersal in metacommunities of interacting species

Chaianunporn, Thotsapol; Hovestadt, Thomas

doi:10.1111/j.1420-9101.2012.02620.x

Cited by 38 publications

(53 citation statements)

References 71 publications

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“…This mechanism is also applicable to parasitoids, given high attack and dispersal rates (Hochberg and Ives 1999). Predators might also (somewhat surprisingly) induce range expansion of prey species, either by predator‐induced dispersal enhancing colonization into empty patches (Weisser et al 1999, Prakash and De Roos 2002, Poethke et al 2010, Chaianunporn and Hovestadt 2012), or by decreasing prey population density in the prey's range core and thereby releasing the prey from asymmetric gene‐flow and the resulting migration load (Holt et al 2011; see above section about gene‐level eco‐evolutionary forces). Specialist predators persisting with their prey can often generate unstable dynamics, leading to the kind of spatiotemporal variation in fitness which promotes the evolution of dispersal.…”

Section: Biotic Forces: Intra‐specific Interactionsmentioning

confidence: 99%

“…If individuals of one of both species immigrate into new habitat patches, this bears the risk of not finding the mutualistic partner species there. Thus, the probability of successful colonization is decreased, which can lead to selection for lower dispersal rates (Case et al 2005, Leonardo and Mondor 2006, Chaianunporn and Hovestadt 2012). In a recent study, Mack (2012) investigated the joint evolution of mutualism and dispersal distance in metapopulations.…”

Section: Biotic Forces: Intra‐specific Interactionsmentioning

confidence: 99%

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Where am I and why? Synthesizing range biology and the eco‐evolutionary dynamics of dispersal

Kubisch¹,

Holt²,

Poethke³

et al. 2013

Oikos

180

241

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Although generations of researchers have studied the factors that limit the distributions of species, we still do not seem to understand this phenomenon comprehensively. Traditionally, species’ ranges have been seen as the consequence of abiotic conditions and local adaptation to the environment. However, during the last years it has become more and more evident that biotic factors – such as intra‐ and interspecific interactions or the dispersal capacity of species – and even rapidly occurring evolutionary processes can strongly influence the range of a species and its potential to spread to new habitats. Relevant eco‐evolutionary forces can be found at all hierarchical levels: from landscapes to communities via populations, individuals and genes. We here use the metapopulation concept to develop a framework that allows us to synthesize this broad spectrum of different factors. Since species’ ranges are the result of a dynamic equilibrium of colonization and local extinction events, the importance of dispersal is immediately clear. We highlight the complex interrelations and feedbacks between ecological and evolutionary forces that shape dispersal and result in non‐trivial and partially counter‐intuitive range dynamics. Our concept synthesizes current knowledge on range biology and the eco‐evolutionary dynamics of dispersal. Synthesis What factors are responsible for the dynamics of species' ranges? Answering this question has never been more important than today, in the light of rapid environmental changes. Surprisingly, the ecological and evolutionary dynamics of dispersal – which represent the driving forces behind range formation – have rarely been considered in this context. We here present a framework that closes this gap. Dispersal evolution may be responsible for highly complex and non‐trivial range dynamics. In order to understand these, and possibly provide projections of future range positions, it is crucial to take the ecological and evolutionary dynamics of dispersal into account.

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Section: Biotic Forces: Intra‐specific Interactionsmentioning

confidence: 99%

Section: Biotic Forces: Intra‐specific Interactionsmentioning

confidence: 99%

Where am I and why? Synthesizing range biology and the eco‐evolutionary dynamics of dispersal

Kubisch¹,

Holt²,

Poethke³

et al. 2013

Oikos

180

241

View full text Add to dashboard Cite

show abstract

“…Dispersal affects various ecological aspects, including interspecific interactions such as host-parasite systems (Clobert et al, 2001;Chaianunporn and Hovestadt, 2012). Knowledge of dispersal tendency directly leads to an understanding of species distribution, population genetic structure, and biodiversity.…”

Section: Introductionmentioning

confidence: 99%

How parasite-mediated costs drive the evolution of disease state-dependent dispersal

Iritani

2015

Ecological Complexity

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“… Evolution of dispersal in metacommunities of interacting species (Chaianunporn and Hovestadt, 2012).…”

Section: Cluster H: Generic Pest and Host Dynamicsmentioning

confidence: 99%

“…As a result, parameters are typically given arbitrary values and used for sensitivity analysis. These are often models strongly related to ecological theory and are referred to with similar terms as Cluster G.Example models: Evolution of dispersal in metacommunities of interacting species (Chaianunporn and Hovestadt, 2012). …”

mentioning

confidence: 99%

Inventory and review of quantitative models for spread of plant pests for use in pest risk assessment for the EU territory

Chapman

White

Hooftman

et al. 2015

EFSA Supporting Publications

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This report considers the prospects for increasing the use of quantitative models for plant pest spread and dispersal in EFSA Plant Health risk assessments. The agreed major aims were to provide an overview of current modelling approaches and their strengths and weaknesses for risk assessment, and to develop and test a system for risk assessors to select appropriate models for application. First, we conducted an extensive literature review, based on protocols developed for systematic reviews. The review located 468 models for plant pest spread and dispersal and these were entered into a searchable and secure Electronic Model Inventory database. A cluster analysis on how these models were formulated allowed us to identify eight distinct major modelling strategies that were differentiated by the types of pests they were used for and the ways in which they were parameterised and analysed. These strategies varied in their strengths and weaknesses, meaning that no single approach was the most useful for all elements of risk assessment. Therefore we developed a Decision Support Scheme (DSS) to guide model selection. The DSS identifies the most appropriate strategies by weighing up the goals of risk assessment and constraints imposed by lack of data or expertise. Searching and filtering the Electronic Model Inventory then allows the assessor to locate specific models within those strategies that can be applied. This DSS was tested in seven case studies covering a range of risk assessment scenarios, pest types and dispersal mechanisms. These demonstrate the effectiveness of the DSS for selecting models that can be applied to contribute to EFSA Plant Health risk assessments. Therefore, quantitative spread and dispersal modelling has potential to improve current risk assessment protocols and contribute to reducing the serious impacts of plant pests in Europe.© NERC Centre for Ecology and Hydrology, 2015 KEY WORDSPlant pest, disease, invasion, dispersal, spread, model, simulation DISCLAIMERThe present document has been produced and adopted by the bodies identified above as author(s). In accordance with Article 36 of Regulation (EC) No 178/2002, this task has been carried out exclusively by the author(s) in the context of a grant agreement between the European Food Safety Authority and the author(s). The present document is published complying with the transparency principle to which the Authority is subject. It cannot be considered as an output adopted by the Authority. The European Food Safety Authority reserves its rights, view and position as regards the issues addressed and the conclusions reached in the present document, without prejudice to the rights of the authors. Inventory and review of quantitative models for spread of plant pests for use in pest risk assessment for the EU territory EFSA supporting publication 2015:EN-795The present document has been produced and adopted by the bodies identified above as author(s). In accordance with Article 36 of Regulation (EC) No 178/2002, this task has been carri...

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Evolution of dispersal in metacommunities of interacting species

Cited by 38 publications

References 71 publications

Where am I and why? Synthesizing range biology and the eco‐evolutionary dynamics of dispersal

Where am I and why? Synthesizing range biology and the eco‐evolutionary dynamics of dispersal

How parasite-mediated costs drive the evolution of disease state-dependent dispersal

Inventory and review of quantitative models for spread of plant pests for use in pest risk assessment for the EU territory

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