Evidence map›Paper›PMID 41152339›Full record

ArticleScientific reports2025

Human disturbance thresholds determine the ecological role of an apex predator.

Shlomo Preiss-Bloom, Hila Shamon, Zachary Amir, Dror Ben-Ami, Tamar Dayan

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Shlomo Preiss-BloomSchool of Zoology, Tel Aviv University, 6997801, Tel Aviv, Israel. preissbloom@mail.tau.ac.il.
Hila ShamonDoris Duke Foundation, New York, NY, USA.
Zachary AmirSchool of the Environment, University of Queensland, St. Lucia, QLD, Australia.
Dror Ben-AmiSchool of Zoology, Tel Aviv University, 6997801, Tel Aviv, Israel.
Tamar DayanSchool of Zoology, Tel Aviv University, 6997801, Tel Aviv, Israel.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The return of large carnivores to human-dominated landscapes complicates predator-prey dynamics. While predator and anthropogenic effects are well-documented in intact systems, their interplay in fragmented landscapes remains understudied. We examined whether apex predators still regulate prey and mesopredators in the large mammal community of the Golan Heights-a mosaic of nature reserves, farmland and military zones-where wolves (Canis lupus), golden jackals (Canis aureus) and wild boar (Sus scrofa) are culled to mitigate agricultural losses and human-wildlife conflict. Using 60 camera traps and high-resolution culling data, we quantified predator-prey and intraguild relationships, identifying land protection thresholds at which they shifted. We found that endangered mountain gazelles (Gazella gazella) were most active in protected areas (top 50% of sites) with higher wolf activity and consistently avoided jackals. Species-specific culling increased jackal activity but decreased boar activity in nonprotected areas (lower 65% and 62% of sites, respectively), outweighing the suppressive effects of wolves. While jackal culling modestly benefited gazelles in protected areas, the positive association between wolves and gazelles was sevenfold stronger. These findings suggest that apex predators may maintain their ecological roles in fragmented landscapes up to a threshold of human disturbance, beyond which top-down regulation weakens and ecosystem function deteriorates.

Indexed as

Predatory BehaviorAnimalsAntelopesConservation of Natural ResourcesEcosystemHumansSus scrofaWolves

Identifiers

PMID41152339
PMCPMC12569034

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.