Evidence map›Paper›PMID 38500850›Full record

ArticleEcology and evolution2024

Food resource competition between African wild dogs and larger carnivores in an ecosystem with artificial water provision.

Elisa Sandoval-Serés, Moreangels Mbizah, Shepherd Phiri, Simbarashe Pride Chatikobo, Marion Valeix, Esther van der Meer, Egil Dröge, Daphine Madhlamoto, Hillary Madzikanda, Peter Blinston and 1 more

Open access · goldAbstract read
In one paragraph

Article in Ecology and evolution, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
2.8field-weighted citation impact, top 11% of its field
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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
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

11 authors at 6 institutions in 5 countries.

Elisa Sandoval-SerésWildlife Conservation Research Unit (WildCRU), Department of Biology, Recanati-Kaplan Centre University of Oxford Tubney UK.ORCID https://orcid.org/0000-0001-9226-6495
Moreangels MbizahWildlife Conservation Research Unit (WildCRU), Department of Biology, Recanati-Kaplan Centre University of Oxford Tubney UK.ORCID https://orcid.org/0000-0002-6868-052X
Shepherd PhiriPainted Dog Conservation (PDC) Dete Zimbabwe.
Simbarashe Pride ChatikoboWildlife Conservation Action Belgravia, Harare Zimbabwe.
Marion ValeixCNRS, Université de Lyon, Université de Lyon 1, Laboratoire de Biométrie et Biologie Evolutive, CNRS UMR Villeurbanne France.ORCID https://orcid.org/0000-0002-9732-1737
Esther van der MeerPainted Dog Conservation (PDC) Dete Zimbabwe.ORCID https://orcid.org/0000-0001-6784-7837
Egil DrögeWildlife Conservation Research Unit (WildCRU), Department of Biology, Recanati-Kaplan Centre University of Oxford Tubney UK.ORCID https://orcid.org/0000-0002-2642-3859
Daphine MadhlamotoScientific Services Main Camp, Hwange National Park Zimbabwe Parks and Wildlife Management Authority (ZPWMA) Dete Zimbabwe.
Hillary MadzikandaPainted Dog Conservation (PDC) Dete Zimbabwe.
Peter BlinstonPainted Dog Conservation (PDC) Dete Zimbabwe.
Andrew J LoveridgeWildlife Conservation Research Unit (WildCRU), Department of Biology, Recanati-Kaplan Centre University of Oxford Tubney UK.ORCID https://orcid.org/0000-0002-3493-6419
Zimbabwe Open University · ZWUniversity of Oxford · GBPractical Action · ZWUniversité Claude Bernard Lyon 1 · FRZambia Forestry College · ZMZimbabwe National Water Authority · ZW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Predators of similar size often compete over prey. In semi-arid ecosystems where water is a limiting resource, prey availability can be affected by water distribution, which further increases resource competition and exacerbate conflict among predators. This can have implications for carnivore dietary competition. Hence, we evaluated the dynamics of food resource competition between African wild dogs and four competing predators (cheetahs, leopards, lions and spotted hyaenas) in different seasons and across areas with different waterhole densities in Hwange National Park, Zimbabwe. We used the frequency of occurrence of prey items found in predators' scats to analyse diet composition, overlap and prey preference. For most predators, kudu was most frequently consumed and preferred. Low and medium water-dependent prey (medium and small-sized) were mostly consumed by wild dogs, leopards and cheetahs. Wild dog diet overlap was high with all predators, particularly with hyaenas and lions. There were no seasonal differences in the predators diet. The diet overlap of wild dogs with lions was highest in the low waterhole density area, and wild dog diet composition did not differ significantly from the diet of lions and hyaenas. In the low waterhole density area, wild dogs and hyaenas broadened their niche breadth, and predators diet had a higher proportion of low water-dependent prey. A low density of waterholes increased food resource competition. However, high density of waterholes, where there is more prey availability, can increase the aggregation and density of predators, and hence, increase the risks involved in interspecific competition on wild dogs. To reduce food resource competition on wild dogs, we propose to conserve larger-bodied prey that are less dependent on water (e.g. kudu, reedbuck, eland and gemsbok). As the use of water pumping is common practice, we propose maintaining water management heterogeneity where prey which is less dependent on water can also thrive.

Indexed as

carnivoresdietinterspecific competitionresource partitioningwaterholes

Identifiers

PMID38500850
PMCPMC10944706
OpenAlexW4392969760

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.