Evidence map›Paper›PMID 37593758›Full record

ArticleEcology and evolution2023

Temporal partitioning and the potential for avoidance behaviour within South African carnivore communities.

Kyle Smith, Jan A Venter, Mike Peel, Mark Keith, Michael J Somers

Abstract read
In one paragraph

Article in Ecology and evolution, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

5 authors.

Kyle SmithMammal Research Institute, Department of Zoology and Entomology University of Pretoria Pretoria South Africa.ORCID https://orcid.org/0000-0001-9524-1912
Jan A VenterMammal Research Institute, Department of Zoology and Entomology University of Pretoria Pretoria South Africa.ORCID https://orcid.org/0000-0002-4548-2571
Mike PeelARC-Animal Production Institute Rangeland Ecology Group Nelspruit South Africa.ORCID https://orcid.org/0000-0003-1284-3665
Mark KeithMammal Research Institute, Department of Zoology and Entomology University of Pretoria Pretoria South Africa.ORCID https://orcid.org/0000-0001-7179-9989
Michael J SomersMammal Research Institute, Department of Zoology and Entomology University of Pretoria Pretoria South Africa.ORCID https://orcid.org/0000-0002-5836-8823

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Carnivora occupy many ecological niches fundamental to ecosystem functioning. Within this diverse order, carnivore species compete to establish dominance, ensure survival and maintain fitness. Subordinate carnivores must, therefore, adapt their behaviour to coexist with dominant species. One such strategy is the partitioning of temporal activity patterns. We aim to determine interspecific avoidance patterns among sympatric carnivores by examining coexistence along a temporal axis. We compared the temporal activity patterns of 13 carnivore species using multi-seasonal camera trapping data from four protected areas across South Africa: Associated Private Nature Reserves, Madikwe Game Reserve, Mountain Zebra National Park and Tswalu Kalahari Reserve. Interspecific coefficients of overlap in diel and core activity periods were calculated over the study period and during the wet and dry seasons. Furthermore, interspecific spatiotemporal behaviour was examined using time-to-event analyses. Our results showed that complete avoidance of diel activity patterns was rare among South African carnivore species. Most species were predominantly nocturnal and, therefore, diel activity overlap was high, whereas core activity overlap was significantly lower (

Indexed as

activitycamera trapsCarnivoraoverlapSouth Africatemporal avoidance

Identifiers

PMID37593758
PMCPMC10427775

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Registered trials

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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.