Adaptive Patch Searching Strategies in Fragmented Landscapes

Heinz, Simone K.; Strand, Espen

doi:10.1007/s10682-005-5378-y

Cited by 45 publications

(48 citation statements)

References 71 publications

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“…Many individual-based models on the evolution of dispersal have been able to pinpoint interesting phenomena in contexts that are too complex for analytical methods, e.g. on the link between accelerating invasion waves and selection for dispersal [141], on the evolution of dispersal during range expansion [142][143][144][145] or on the evolution of movement rules in patchy landscapes [91,146]. Simulation studies are also capable of disentangling more subtle effects of multiple selective pressures on dispersal, e.g.…”

Section: Relative Merits Of Simulations and Analysesmentioning

confidence: 99%

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An empiricist's guide to theoretical predictions on the evolution of dispersal

2013

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Dispersal, the tendency for organisms to reproduce away from their parents, influences many evolutionary and ecological processes, from speciation and extinction events, to the coexistence of genotypes within species or biological invasions. Understanding how dispersal evolves is crucial to predict how global changes might affect species persistence and geographical distribution. The factors driving the evolution of dispersal have been well characterized from a theoretical standpoint, and predictions have been made about their respective influence on, for example, dispersal polymorphism or the emergence of dispersal syndromes. However, the experimental tests of some theories remain scarce partly because a synthetic view of theoretical advances is still lacking. Here, we review the different ingredients of models of dispersal evolution, from selective pressures and types of predictions, through mathematical and ecological assumptions, to the methods used to obtain predictions. We provide perspectives as to which predictions are easiest to test, how theories could be better exploited to provide testable predictions, what theoretical developments are needed to tackle this topic, and we place the question of the evolution of dispersal within the larger interdisciplinary framework of eco-evolutionary dynamics.

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Section: Relative Merits Of Simulations and Analysesmentioning

confidence: 99%

“…This is clearly an emerging topic for theoreticians [91,145,146], but it would successfully feed on tracking data collected by field ecologists on, e.g. marine birds, turtles, large mammals, etc.…”

Section: Five Emergent Issues About the Evolution Of Dispersalmentioning

confidence: 99%

An empiricist's guide to theoretical predictions on the evolution of dispersal

2013

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“…Individuals actively sampling novel and temporary patches should show different movement behaviors from when they settle in a stable area. Indeed, natal dispersal presents a unique opportunity to explore interactions among animal movements and learning because of the specific stages that individuals go through (Stamps 2001;Andreassen et al 2002;Clobert et al 2004;Bowler and Benton 2005;Heinz and Strand 2006;Baguette and Van Dyck 2007;Delgado and Penteriani 2008), shifting from a wandering to a more stable phase characterized by a settlement in quite fixed areas of activity. Moreover, natal dispersal involves considerable time spent alone traveling across unknown areas, and therefore, the costs of dispersal can be significant because of both mortality risks and missed reproductive opportunities (e.g., Waser et al 1994;Alberts and Altmann 1995).…”

Section: Introductionmentioning

confidence: 99%

Changes of movement patterns from early dispersal to settlement

Delgado

Penteriani

Nams

et al. 2009

Behav Ecol Sociobiol

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Moving and spatial learning are two intertwined processes: (a) changes in movement behavior determine the learning of the spatial environment, and (b) information plays a crucial role in several animal decision-making processes like movement decisions. A useful way to explore the interactions between movement decisions and learning of the spatial environment is by comparing individual behaviors during the different phases of natal dispersal (when individuals move across more or less unknown habitats) with movements and choices of breeders (who repeatedly move within fixed home ranges), that is, by comparing behaviors between individuals who are still acquiring information vs. individuals with a more complete knowledge of their surroundings. When analyzing movement patterns of eagle owls, Bubo bubo, belonging to three status classes (floaters wandering across unknown environments, floaters already settled in temporary settlement areas, and territory owners with a well-established home range), we found that: (1) wandering individuals move faster than when established in a more stable or fixed settlement area, traveling larger and straighter paths with longer move steps; and (2) when floaters settle in a permanent area, then they show movement behavior similar to territory owners. Thus, movement patterns show a transition from exploratory strategies, when animals have incomplete environmental information, to a more familiar way to exploit their activity areas as they get to know the environment better.

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“…The term 'bias' throughout this text refers to the tendency for moving towards a particular location in space, and should not be confused with a 'bias' meaning 'shifting the walk orientation in one direction' (e.g. as used by Heinz & Strand [30]). The bias parameter (b) represents the strength of bias towards a closest patch, and can range from 0 (unbiased, correlated walk) to 1 (biased, uncorrelated walk).…”

Section: Methodsmentioning

confidence: 99%

Risky movement increases the rate of range expansion

et al. 2011

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The movement rules used by an individual determine both its survival and dispersal success. Here, we develop a simple model that links inter-patch movement behaviour with population dynamics in order to explore how individual dispersal behaviour influences not only its dispersal and survival, but also the population's rate of range expansion. Whereas dispersers are most likely to survive when they follow nearly straight lines and rapidly orient movement towards a non-natal patch, the most rapid rates of range expansion are obtained for trajectories in which individuals delay biasing their movement towards a non-natal patch. This result is robust to the spatial structure of the landscape. Importantly, in a set of evolutionary simulations, we also demonstrate that the movement strategy that evolves at an expanding front is much closer to that maximizing the rate of range expansion than that which maximizes the survival of dispersers. Our results suggest that if one of our conservation goals is the facilitation of range-shifting, then current indices of connectivity need to be complemented by the development and utilization of new indices providing a measure of the ease with which a species spreads across a landscape.

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Adaptive Patch Searching Strategies in Fragmented Landscapes

Cited by 45 publications

References 71 publications

An empiricist's guide to theoretical predictions on the evolution of dispersal

An empiricist's guide to theoretical predictions on the evolution of dispersal

Changes of movement patterns from early dispersal to settlement

Risky movement increases the rate of range expansion

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