Literature DB >> 25822451

Territorial pattern formation in the absence of an attractive potential.

Jonathan R Potts1, Mark A Lewis2.   

Abstract

Territoriality is a phenomenon exhibited throughout nature. On the individual level, it is the processes by which organisms exclude others of the same species from certain parts of space. On the population level, it is the segregation of space into separate areas, each used by subsections of the population. Proving mathematically that such individual-level processes can cause observed population-level patterns to form is necessary for linking these two levels of description in a non-speculative way. Previous mathematical analysis has relied upon assuming animals are attracted to a central area. This can either be a fixed geographical point, such as a den- or nest-site, or a region where they have previously visited. However, recent simulation-based studies suggest that this attractive potential is not necessary for territorial pattern formation. Here, we construct a partial differential equation (PDE) model of territorial interactions based on the individual-based model (IBM) from those simulation studies. The resulting PDE does not rely on attraction to spatial locations, but purely on conspecific avoidance, mediated via scent-marking. We show analytically that steady-state patterns can form, as long as (i) the scent does not decay faster than it takes the animal to traverse the terrain, and (ii) the spatial scale over which animals detect scent is incorporated into the PDE. As part of the analysis, we develop a general method for taking the PDE limit of an IBM that avoids destroying any intrinsic spatial scale in the underlying behavioral decisions.

Entities:  

Keywords:  Advection–diffusion; Animal movement; Home range; Individual based models; Mathematical ecology; Partial differential equations; Pattern formation; Territoriality

Mesh:

Substances:

Year:  2015        PMID: 25822451     DOI: 10.1007/s00285-015-0881-4

Source DB:  PubMed          Journal:  J Math Biol        ISSN: 0303-6812            Impact factor:   2.259


  9 in total

1.  Home range formation in wolves due to scent marking.

Authors:  Brian K Briscoe; Mark A Lewis; Stephen E Parrish
Journal:  Bull Math Biol       Date:  2002-03       Impact factor: 1.758

2.  Mechanistic home range models capture spatial patterns and dynamics of coyote territories in Yellowstone.

Authors:  Paul R Moorcroft; Mark A Lewis; Robert L Crabtree
Journal:  Proc Biol Sci       Date:  2006-07-07       Impact factor: 5.349

3.  Brownian walkers within subdiffusing territorial boundaries.

Authors:  L Giuggioli; J R Potts; S Harris
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2011-06-23

4.  A unifying framework for quantifying the nature of animal interactions.

Authors:  Jonathan R Potts; Karl Mokross; Mark A Lewis
Journal:  J R Soc Interface       Date:  2014-07-06       Impact factor: 4.118

5.  Territoriality and home-range dynamics in meerkats, Suricata suricatta: a mechanistic modelling approach.

Authors:  Andrew W Bateman; Mark A Lewis; Gabriella Gall; Marta B Manser; Tim H Clutton-Brock
Journal:  J Anim Ecol       Date:  2014-07-29       Impact factor: 5.091

6.  Animal interactions and the emergence of territoriality.

Authors:  Luca Giuggioli; Jonathan R Potts; Stephen Harris
Journal:  PLoS Comput Biol       Date:  2011-03-10       Impact factor: 4.475

7.  Territorial dynamics and stable home range formation for central place foragers.

Authors:  Jonathan R Potts; Stephen Harris; Luca Giuggioli
Journal:  PLoS One       Date:  2012-03-30       Impact factor: 3.240

8.  Consequences of animal interactions on their dynamics: emergence of home ranges and territoriality.

Authors:  Luca Giuggioli; V M Kenkre
Journal:  Mov Ecol       Date:  2014-09-03       Impact factor: 3.600

Review 9.  How do animal territories form and change? Lessons from 20 years of mechanistic modelling.

Authors:  Jonathan R Potts; Mark A Lewis
Journal:  Proc Biol Sci       Date:  2014-04-16       Impact factor: 5.349

  9 in total
  3 in total

1.  How memory of direct animal interactions can lead to territorial pattern formation.

Authors:  Jonathan R Potts; Mark A Lewis
Journal:  J R Soc Interface       Date:  2016-05       Impact factor: 4.118

2.  Detecting minimum energy states and multi-stability in nonlocal advection-diffusion models for interacting species.

Authors:  Valeria Giunta; Thomas Hillen; Mark A Lewis; Jonathan R Potts
Journal:  J Math Biol       Date:  2022-10-20       Impact factor: 2.164

3.  Spatial Memory and Taxis-Driven Pattern Formation in Model Ecosystems.

Authors:  Jonathan R Potts; Mark A Lewis
Journal:  Bull Math Biol       Date:  2019-06-04       Impact factor: 1.758

  3 in total

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