Evolution of reduced dispersal mortality and ‘fat-tailed’ dispersal kernels in autocorrelated landscapes

Hovestadt, Thomas; Messner, Stefan; Hans, J.

doi:10.1098/rspb.2000.1379

Cited by 115 publications

(146 citation statements)

References 41 publications

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“…For example, the distances required to avoid inbreeding are likely to differ from those required to escape resource competition. Thus not only is the dispersal rate under selection but also the dispersal distance (Ezoe, 1998 ;Hovestadt, Messner & Poethke, 2001 ;Murrell et al, 2002 ;Rousset & Gandon, 2002). Few studies have investigated differences in dispersal behaviour according to scale (Orians & Wittenberger, 1991 ;Tenhumberg et al, 2001 ;Hansson, Bensch & Hasselquist, 2002).…”

Section: Scale-dependencementioning

confidence: 99%

Causes and consequences of animal dispersal strategies: relating individual behaviour to spatial dynamics

2005

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Knowledge of the ecological and evolutionary causes of dispersal can be crucial in understanding the behaviour of spatially structured populations, and predicting how species respond to environmental change. Despite the focus of much theoretical research, simplistic assumptions regarding the dispersal process are still made. Dispersal is usually regarded as an unconditional process although in many cases fitness gains of dispersal are dependent on environmental factors and individual state. Condition-dependent dispersal strategies will often be superior to unconditional, fixed strategies. In addition, dispersal is often collapsed into a single parameter, despite it being a process composed of three interdependent stages : emigration, inter-patch movement and immigration, each of which may display different condition dependencies. Empirical studies have investigated correlates of these stages, emigration in particular, providing evidence for the prevalence of conditional dispersal strategies. Ill-defined use of the term ' dispersal', for movement across many different spatial scales, further hinders making general conclusions and relating movement correlates to consequences at the population level. Logistical difficulties preclude a detailed study of dispersal for many species, however incorporating unrealistic dispersal assumptions in spatial population models may yield inaccurate and costly predictions. Further studies are necessary to explore the importance of incorporating specific condition-dependent dispersal strategies for evolutionary and population dynamic predictions.

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Section: Scale-dependencementioning

confidence: 99%

Causes and consequences of animal dispersal strategies: relating individual behaviour to spatial dynamics

2005

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“…However, it remains a challenge to identify the mechanisms by which stable home ranges can emerge from unbounded movement paths, with a number of alternative modelling approaches in use [207]. In many of the existing IBMs of movement processes across complex landscapes the key questions being addressed have related to connectivity [208][209][210], emergent dispersal mortality [211,212], and home range formation [206,213,214], but in many cases these individual-based movement models have not been linked to models of population dynamics. When such links are made, it is possible to gain important new insights into the dynamics of species living on complex landscapes and into potential consequences of alternative management interventions [215].…”

Section: Process-based Modelsmentioning

confidence: 99%

Emerging Opportunities for Landscape Ecological Modelling

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et al. 2016

Curr Landscape Ecol Rep

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Landscape ecological modelling provides a vital means for understanding the interactions between geographical, climatic, and socio-economic drivers of land-use and the dynamics of ecological systems. This growing field is playing an increasing role in informing landscape spatial planning and management. Here, we review the key modelling approaches that are used in landscape modelling and in ecological modelling. We identify an emerging theme of increasingly detailed representation of process in both landscape and ecological modelling, with complementary suites of modelling approaches ranging from correlative, through aggregated process based approaches to models with much greater structural realism that often represent behaviours at the level of agents or individuals. We provide examples of the considerable progress that has been made at the intersection of landscape modelling and ecological modelling, while also highlighting that the majority of this work has to date exploited a relatively small number of the possible combinations of model types from each discipline. We use this review to identify key gaps in existing landscape ecological modelling effort and highlight emerging opportunities, in particular for future work to progress in novel directions by combining classes of landscape models and ecological models that have rarely been used together.

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“…In these models, a critical transition occurs from a continuous habitat to a fragmented habitat as the overall habitat density is reduced (Gustafson and Parker 1992;. Models based on percolation maps have also proved useful in studies on the effects of habitat heterogeneity on the dynamics of spatially distributed populations (see, e.g., Intermediate disturbance maximizes metapopulation density Neuhauser 1998;Hiebler 2000;Hovestadt et al 2001;Oborny and Kun 2002;Kun and Oborny 2003).…”

Section: Introductionmentioning

confidence: 99%

Intermediate landscape disturbance maximizes metapopulation density

2009

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The viability of metapopulations in fragmented landscapes has become a central theme in conservation biology. Landscape fragmentation is increasingly recognized as a dynamical process: in many situations, the quality of local habitats must be expected to undergo continual changes. Here we assess the implications of such recurrent local disturbances for the equilibrium density of metapopulations. Using a spatially explicit lattice model in which the considered metapopulation as well as the underlying landscape change dynamically, we show for the first time that equilibrium metapopulation density is maximized at intermediate frequencies of local landscape disturbance. On both sides around this maximum, the metapopulation may go extinct. We show how the position and shape of the intermediate viability maximum is responding to changes in the landscape's overall habitat quality and the population's propensity for local extinction. We interpret our findings in terms of a dual effect of intensified landscape disturbances, which on the one hand exterminate local populations and on the other hand enhance a metapopulation's capacity for spreading between habitat clusters.

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Evolution of reduced dispersal mortality and ‘fat-tailed’ dispersal kernels in autocorrelated landscapes

Cited by 115 publications

References 41 publications

Causes and consequences of animal dispersal strategies: relating individual behaviour to spatial dynamics

Causes and consequences of animal dispersal strategies: relating individual behaviour to spatial dynamics

Emerging Opportunities for Landscape Ecological Modelling

Intermediate landscape disturbance maximizes metapopulation density

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