Evidence map›Paper›PMID 40661911›Full record

ArticleEcology and evolution2025

Temporal, Spatial and Prey Niche Partitioning Reveals Coexistence Mechanism of Mesocarnivores in Guangdong Province, South China.

Fei Wu, Yan Hua, Hongliang Dou, Yulin Zhang, Xiaoxin Dong, Di Zhu, Haiyang Gao

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Ecology and evolution, 2025. 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
–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

2 citing papers in PubMed.

  1. 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

7 authors.

Fei WuGuangdong Provincial Key Laboratory of Silviculture, Protection and Utilization Guangdong Academy of Forestry Guangzhou China.
Yan HuaGuangdong Provincial Key Laboratory of Silviculture, Protection and Utilization Guangdong Academy of Forestry Guangzhou China.
Hongliang DouGuangdong Provincial Key Laboratory of Silviculture, Protection and Utilization Guangdong Academy of Forestry Guangzhou China.
Yulin ZhangGuangdong Provincial Key Laboratory of Silviculture, Protection and Utilization Guangdong Academy of Forestry Guangzhou China.
Xiaoxin DongGuangdong Provincial Key Laboratory of Silviculture, Protection and Utilization Guangdong Academy of Forestry Guangzhou China.
Di ZhuNational Forestry and Grassland Administration Key Laboratory for Conservation Ecology in the Northeast Tiger and Leopard National Park College of Life Sciences, Beijing Normal University Beijing China.
Haiyang GaoGuangdong Provincial Key Laboratory of Silviculture, Protection and Utilization Guangdong Academy of Forestry Guangzhou China.ORCID https://orcid.org/0009-0000-0431-2974

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mesocarnivores are expected to maintain ecosystem function and stability as emerging apex predators after the decline and extinction of large carnivores. However, we still do not fully understand the mechanisms by which sympatrically distributed mesocarnivores coexist. Niche partitioning provides a fundamental explanation, yet most studies focus on only temporal and spatial dimensions, often overlooking the role of prey resources. To comprehensively understand mesocarnivore coexistence in the context of widespread large carnivore extirpation, we collected camera trap data from four national and sixteen provincial nature reserves in Guangdong Province, South China. We examined the niche partitioning of four mesocarnivores, including leopard cat (

Indexed as

camera trapecological nichemesocarnivoresspecies coexistencewildlife management

Identifiers

PMID40661911
PMCPMC12256565

What OpenQuestion holds

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LicenceCC BY
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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.