Evidence map›Paper›PMID 24741017›Full record

ReviewProceedings. Biological sciences2014

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

Jonathan R Potts, Mark A Lewis

Abstract readReview
In one paragraph

Review in Proceedings. Biological sciences, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

35 citing papers in PubMed.

  1. Article
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  4. The role of musical pitch in long-distance defensive signaling.Annals of the New York Academy of Sciences · 2025
    Review
  5. Review
  6. Article
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  10. Bat Motion can be Described by Leap Frogging.Bulletin of mathematical biology · 2024
    Article
  11. Article
  12. Article
  13. Article
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  16. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Jonathan R PottsDepartment of Mathematical and Statistical Sciences, Centre for Mathematical Biology, University of Alberta, , Edmonton, , Alberta, Canada , T6G 2G1, Department of Biological Sciences, University of Alberta, , Edmonton, , Alberta, Canada , T6G 2G1.
Mark A Lewis

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Territory formation is ubiquitous throughout the animal kingdom. At the individual level, various behaviours attempt to exclude conspecifics from regions of space. At the population level, animals often segregate into distinct territorial areas. Consequently, it should be possible to derive territorial patterns from the underlying behavioural processes of animal movements and interactions. Such derivations are an important element in the development of an ecological theory that can predict the effects of changing conditions on territorial populations. Here, we review the approaches developed over the past 20 years or so, which go under the umbrella of 'mechanistic territorial models'. We detail the two main strands to this research: partial differential equations and individual-based approaches, showing what each has offered to our understanding of territoriality and how they can be unified. We explain how they are related to other approaches to studying territories and home ranges, and point towards possible future directions.

Indexed as

Homing BehaviorModels, BiologicalTerritorialityAnimalsBirdsMammalsanimal movementhome rangeindividual-based modelsmechanistic modelsreaction–diffusion equationsterritoriality

Identifiers

PMID24741017
PMCPMC4043092

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.