Evidence map›Paper›PMID 40367138›Full record

ArticlePloS one2025

Combining N-mixture and occupancy analysis offers a more complete picture of carnivore habitat use in Northeastern Türkiye.

J David Blount, Austin M Green, Mark Chynoweth, Emrah Çoban, Josip Kusak, Çağan H Şekercioğlu

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

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

6 authors.

J David BlountSchool of Biological Sciences, University of Utah, Salt Lake City, Utah, United States of America.ORCID https://orcid.org/0000-0003-3208-2947
Austin M GreenScience Research Initiative, University of Utah, Salt Lake City, Utah, United States of America.ORCID https://orcid.org/0000-0002-7443-3015
Mark ChynowethDepartment of Wildland Resources, Utah State University, Vernal, Utah, United States of America.
Emrah ÇobanKuzeyDoğa Society, Ortakapı Mah. Şehit Yusuf Cad. No: 93 Kat: 1, Merkez, Kars, Türkiye.
Josip KusakFaculty of Veterinary Medicine, University of Zagreb, Zagreb, Croatia.ORCID https://orcid.org/0000-0002-5544-6486
Çağan H ŞekercioğluSchool of Biological Sciences, University of Utah, Salt Lake City, Utah, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Occupancy and N-mixture analyses have been successfully used to understand habitat use in various species. However, since these methods fundamentally answer different questions about wildlife distribution, the results from each modelling approach may provide different insights into species' habitat use. In this study, we leveraged data from a long-term camera trapping study in northeastern Türkiye to compare the results from occupancy and N-mixture analyses, with the main objective of understanding how the modelling approach used can influence our knowledge of species' habitat use. Specifically, we compared the habitat use preferences from N-mixture and occupancy analyses for three carnivore species with varying baseline abundances. Our results provide evidence that occupancy and N-mixture analyses provide different insights into species' sensitivity to environmental and anthropogenic factors. Whereas occupancy analysis provides a relatively broad summary of the factors that affect where a species may or may not be located on a landscape or which areas they may be more likely to use over a certain time period, N-mixture modelling may provide insights into the factors that affect the degree of use at individual sites, with particular emphasis on being able to deduce small-scale changes in habitat use across a landscape. Furthermore, while the detection probability of an occupancy analysis has been formally used as a measure of site use intensity, N-Mixture models may offer higher resolution of the quantity of use. Therefore, as these two methods tend to investigate habitat use at different spatial scales, when used in conjunction they can provide a more refined understanding of species' habitat use through repeat-survey sampling methods like camera trapping.

Indexed as

CarnivoraEcosystemAnimals

Identifiers

PMID40367138
PMCPMC12077724

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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.