Territorial pattern formation in the absence of an attractive potential

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.

[1]  G. de Vahl Davis,et al.  The Method of the False Transient for the Solution of Coupled Elliptic Equations , 1973 .

[2]  Eldridge S. Adams,et al.  APPROACHES TO THE STUDY OF TERRITORY SIZE AND SHAPE , 2001 .

[3]  W. H. Burt Territoriality and Home Range Concepts as Applied to Mammals , 1943 .

[4]  S. Harris Home Ranges and Patterns of Distribution of Foxes (Vulpes vulpes) in an Urban Area, as Revealed by Radio Tracking , 1980 .

[5]  Olivier Herbeaux,et al.  A A unifying framework , 1996 .

[6]  Luca Giuggioli,et al.  Consequences of animal interactions on their dynamics: emergence of home ranges and territoriality , 2014, Movement ecology.

[7]  S. Harris,et al.  Spatial and behavioral changes by red foxes (Vulpes vulpes) in response to artificial territory intrusion , 2011 .

[8]  Jonathan R. Potts,et al.  How do animal territories form and change? Lessons from 20 years of mechanistic modelling , 2014, Proceedings of the Royal Society B: Biological Sciences.

[9]  Jonathan R. Potts,et al.  Animal Interactions and the Emergence of Territoriality , 2011, PLoS Comput. Biol..

[10]  A. Einstein The Foundation of the General Theory of Relativity , 1916 .

[11]  P. Moorcroft,et al.  Mechanistic home range analysis , 2006 .

[12]  Jonathan R. Potts,et al.  Territorial Dynamics and Stable Home Range Formation for Central Place Foragers , 2012, PloS one.

[13]  L. Giuggioli,et al.  Brownian walkers within subdiffusing territorial boundaries. , 2011, Physical review. E, Statistical, nonlinear, and soft matter physics.

[14]  P. Moorcroft Mechanistic approaches to understanding and predicting mammalian space use: recent advances, future directions , 2012 .

[15]  Paul R Moorcroft,et al.  Mechanistic home range models capture spatial patterns and dynamics of coyote territories in Yellowstone , 2006, Proceedings of the Royal Society B: Biological Sciences.

[16]  R. Durrett,et al.  The Importance of Being Discrete (and Spatial) , 1994 .

[17]  J. Lawton Animal interactions , 1974, Nature.

[18]  M. Lewis,et al.  A unifying framework for quantifying the nature of animal interactions , 2014, Journal of The Royal Society Interface.

[19]  T. Clutton‐Brock,et al.  Territoriality and home-range dynamics in meerkats, Suricata suricatta: a mechanistic modelling approach. , 2015, The Journal of animal ecology.

[20]  C. Hoffmann Algebraic curves , 1988 .

[21]  M. Lewis,et al.  Home range formation in wolves due to scent marking , 2002, Bulletin of mathematical biology.

[22]  Katrin White,et al.  Analysis of a model for wolf territories , 1997 .

[23]  M. A. Lewis,et al.  Modelling territoriality and wolf–deer interactions , 1993, Nature.