Journal article
Two-species migration and clustering in two-dimensional domains
- Abstract:
- We extend two-species models of individual aggregation or cluster- ing to two-dimensional spatial domains, allowing for more realistic movement of the populations compared with one spatial dimension. We assume that the domain is bounded and that there is no flux into or out of the domain. The motion of the species is along fitness gradients which allow the species to seek out a resource. In the case of competition, species which exploit the resource alone will disperse while avoiding one another. In the case where one of the species is an predator or generalist predator which exploits the other species, that species will tend to move toward the prey species, while the prey will tend to avoid the predator. We focus on three primary types of inter-species inter- actions: competition, generalist predator-prey, and predator-prey. We discuss the existence and stability of uniform steady states. While transient behaviors including clustering and colony formation occur, our stability results and numerical evidence lead us to believe that the long-time behavior of these models is dominated by spatially homogeneous steady states when the spatial domain is convex. Motivated by this, we investigate heterogeneous resources and hazards, and demonstrate how the advective dispersal of species in these environments leads to asymptotic steady states that retain spatial aggregation or clustering in regions of resource abundance and away from hazards or regions or resource scarcity.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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Access Document
- Files:
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(Preview, Accepted manuscript, pdf, 2.9MB, Terms of use)
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- Publisher copy:
- 10.1007/s11538-017-0331-0
Authors
- Publisher:
- Springer
- Journal:
- Bulletin of Mathematical Biology More from this journal
- Volume:
- 79
- Issue:
- 10
- Pages:
- 2302–2333
- Publication date:
- 2017-08-01
- Acceptance date:
- 2017-07-21
- DOI:
- EISSN:
-
1522-9602
- ISSN:
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0092-8240
- Keywords:
- Pubs id:
-
pubs:724277
- UUID:
-
uuid:a11efb52-12af-4d5b-acba-2e99c42337cb
- Local pid:
-
pubs:724277
- Source identifiers:
-
724277
- Deposit date:
-
2017-08-25
Terms of use
- Copyright holder:
- Van Gorder et al
- Copyright date:
- 2017
- Notes:
- © The Author(s) 2017. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
- Licence:
- CC Attribution (CC BY)
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