Evidence map›Paper›PMID 39967757›Full record

ArticleEcology and evolution2025

Integrating Human and Wildlife Dynamics in Co-Occurrence Modelling.

F Rolle, M V Boiani, L Fardone, F Gaydou, M Macario, F Parentela, V Ruco, D Sigaudo, F Marucco

Abstract read
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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

9 authors.

F RolleDepartment of Life Sciences and Systems Biology University of Torino Torino Italy.ORCID https://orcid.org/0000-0002-2357-1135
M V BoianiDepartment of Biological Sciences, Conservation Biology Research Group University of Chester Chester UK.ORCID https://orcid.org/0009-0006-0011-8449
L FardoneDepartment of Life Sciences and Systems Biology University of Torino Torino Italy.
F GaydouDepartment of Life Sciences and Systems Biology University of Torino Torino Italy.
M MacarioDepartment of Life Sciences and Systems Biology University of Torino Torino Italy.
F ParentelaDepartment of Life Sciences and Systems Biology University of Torino Torino Italy.
V RucoDepartment of Life Sciences and Systems Biology University of Torino Torino Italy.
D SigaudoEnte di Gestione delle Aree Protette delle Alpi Marittime (APAM) Valdieri Italy.
F MaruccoDepartment of Life Sciences and Systems Biology University of Torino Torino Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In shared environments, where different species interact depending on overlapping resources, complex interspecific interactions emerge, with human activities impacting these dynamics and influencing wildlife abundance and distribution. In the Alps, the presence of multiple species of ungulates, such as roe deer and red deer, and a predator, the wolf, creates a web of spatial and behavioral interactions in an area where farming, hunting and tourism have persisted over time, with tourism recently experiencing a substantial growth. Accounting for these multiple interactions, we modelled the co-occurrence probabilities of roe deer, red deer and wolves in an area of the Maritime Alps using data derived from 60 camera traps. We applied multi-species occupancy models to investigate (i) the role of species co-occurrences in explaining the occupancy of model species across the landscape, (ii) the role of human presence and activities on species occupancy and (iii) the potential effect of the hunting season on the species detection probabilities. Among the identified species, roe deer reported the highest frequency of recorded events and were the most widespread species. We provided important evidence of interspecific dependence, revealing that pairwise interactions among species had a greater impact than only considering individual environmental effects. We documented that the setting of cameras on trails increased the likelihood of detecting wolves but decreased the likelihood of detecting ungulates. Most importantly, the hunting season significantly reduced the likelihood of capturing roe deer, while having no effect on either red deer or wolves. Our results confirmed the relevance of including prey, predators, and human dynamics as a whole. Since the sharing of habitat makes human activities significantly important in defining predator-prey mechanisms, our insights are particularly relevant for defining solutions to optimize human-wildlife coexistence, especially in a highly anthropogenic system such as Europe.

Indexed as

camera trapsdetectabilityhunting pressurepredator–prey co‐occurrence

Identifiers

PMID39967757
PMCPMC11832906

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.