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Ideal free distribution of fixed dispersal phenotypes in a wing dimorphic beetle in heterogeneous landscapes
Abstract
According to the ideal free distribution (IFD) theory, individuals that are able to perceive the quality of different patches in a landscape and disperse freely are expected to redistribute themselves proportionally to the carrying capacities of heterogeneous patches. Here, we argue that, when dispersal is unconditional and genetically fixed, a coalition of sedentary and dispersing phenotypes can attain an IFD under spatiotemporally uncorrelated variation in fitness. This not only leads to a stable polymorphism of both dispersal phenotypes, but also implies that the number of dispersing individuals should on average be equal among patches and determined by the carrying capacity of the smallest local populations in the landscape. Differences in carrying capacity among patches are thus only reflected by changes in the number of sedentary individuals. Individual‐based simulations show that this mechanism can be generalized over a wide range of spatiotemporal conditions and dispersal strategies. Moreover, these expectations are in strong agreement with empirical data on the density of both dispersal phenotypes of the wing dimorphic ground beetle Pterostichus vernalis within and among 10 different landscapes. Hence, for the first time, these results demonstrate that this mechanism serves as a plausible alternative to the competition‐colonization model to explain the spatial distribution of fixed dispersal phenotypes in heterogeneous landscapes. Understanding of the frequency distributions of individuals expressing discrete dispersal morphs moreover improves our predictive and management capabilities for a broad range of species, for which we currently typically rely on using mean dispersal rates.
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These three versions of IDMs have been applied to many different species and circumstances to develop predictions for how non-human and human organisms should distribute themselves across a landscape.
“These three versions of ideal distribution models (IDMs) have been applied to many different species and circumstances to develop predictions for how non-human (Hendrickx, Palmer, and Travis 2013;McNickle and Brown 2014;Nicolai et al. 2014) and human (Disma, Sokolowski, and Tonneau 2011;Moritz et al. 2014aMoritz et al. , 2015Moritz et al. , 2014b;;Morris and Kingston 2002) organisms should”
From The Ideal Distribution Model and Archaeological Settlement Patterning (2022) · cites this paper as Hendrickx, Palmer, and Travis 2013
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Cited by
Sorted by citations
The Ideal Distribution Model and Archaeological Settlement Patterning
Weitzel, E. M., & Codding, B. F. (2022) · Environmental Archaeology · doi:10.1080/14614103.2020.1803015 · Cited by 49
Metadata
- Authors
- Hendrickx, F., Palmer, S. C. F., & Travis, J. M. J.
- Venue
- Ecology
- Publisher
- Wiley
- Published
- 2013-11
- Volume
- 94
- Issue
- 11
- Pages
- 2487-2497
- ISSN
- 0012-9658
- 1939-9170
- Cited by
- 12
- References
- 0
- Language
- en
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