Literature DB >> 24995457

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

Andrew W Bateman1,2,3, Mark A Lewis2, Gabriella Gall3,4, Marta B Manser3,4, Tim H Clutton-Brock1,3.   

Abstract

Multiple approaches exist to model patterns of space use across species, among them resource selection analysis, statistical home-range modelling and mechanistic movement modelling. Mechanistic home-range models combine the benefits of these approaches, describing emergent territorial patterns based on fine-scale individual- or group-movement rules and incorporating interactions with neighbours and the environment. These models have not, to date, been extended to dynamic contexts. Using mechanistic home-range models, we explore meerkat (Suricata suricatta) territorial patterns, considering scent marking, direct group interactions and habitat selection. We also extend the models to accommodate dynamic aspects of meerkat territoriality (territory development and territory shift). We fit models, representing multiple working hypotheses, to data from a long-term meerkat study in South Africa, and we compare models using Akaike's and Bayesian Information Criteria. Our results identify important features of meerkat territorial patterns. Notably, larger groups do not seem to control larger territories, and groups apparently prefer dune edges along a dry river bed. Our model extensions capture instances in which 1) a newly formed group interacts more strongly with its parent groups over time and 2) a group moves its territory core out of aversive habitat. This extends our mechanistic modelling framework in previously unexplored directions.
© 2014 The Authors. Journal of Animal Ecology © 2014 British Ecological Society.

Entities:  

Keywords:  advection‐diffusion models; habitat selection; partial differential equations; social carnivores; space use; spatial patterns

Mesh:

Year:  2014        PMID: 24995457     DOI: 10.1111/1365-2656.12267

Source DB:  PubMed          Journal:  J Anim Ecol        ISSN: 0021-8790            Impact factor:   5.091


  12 in total

1.  Territorial pattern formation in the absence of an attractive potential.

Authors:  Jonathan R Potts; Mark A Lewis
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2.  How memory of direct animal interactions can lead to territorial pattern formation.

Authors:  Jonathan R Potts; Mark A Lewis
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3.  Economical defence of resources structures territorial space use in a cooperative carnivore.

Authors:  Sarah N Sells; Michael S Mitchell; David E Ausband; Angela D Luis; Douglas J Emlen; Kevin M Podruzny; Justin A Gude
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Review 4.  Long-term field studies in bat research: importance for basic and applied research questions in animal behavior.

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5.  Logistical constraints lead to an intermediate optimum in outbreak response vaccination.

Authors:  Yun Tao; Katriona Shea; Matthew Ferrari
Journal:  PLoS Comput Biol       Date:  2018-05-23       Impact factor: 4.475

6.  A mechanistic, stigmergy model of territory formation in solitary animals: Territorial behavior can dampen disease prevalence but increase persistence.

Authors:  Lauren A White; Sue VandeWoude; Meggan E Craft
Journal:  PLoS Comput Biol       Date:  2020-06-11       Impact factor: 4.475

7.  Group size and composition influence collective movement in a highly social terrestrial bird.

Authors:  Danai Papageorgiou; Damien Roger Farine
Journal:  Elife       Date:  2020-11-10       Impact factor: 8.140

8.  Deterministic modelling of seed dispersal based on observed behaviours of an endemic primate in Brazil.

Authors:  Nima Raghunathan; Louis François; Eliana Cazetta; Jean-Luc Pitance; Kristel De Vleeschouwer; Alain Hambuckers
Journal:  PLoS One       Date:  2020-12-28       Impact factor: 3.240

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

10.  Sex-differences in fine-scale home-range use in an upper-trophic level marine predator.

Authors:  D C Lidgard; W D Bowen; S J Iverson
Journal:  Mov Ecol       Date:  2020-02-13       Impact factor: 3.600

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