Dataset Information

The Influence of Community Feeders and Commercial Food Outlets on the Spatial Distribution of Free-Roaming Dogs-A Photographic Capture and Recapture Study.

ABSTRACT: Understanding the distribution of dogs in the environment is relevant for establishing human and animal health actions. In the present study, we analyzed the influence of community feeders and commercial food outlets on the spatial distribution of free-roaming dogs in an urban area of a municipality in Southeast Brazil. The dogs were identified via photographic capture and recapture performed over five sampling efforts. The spatial densities of dogs were determined using the Kernel method. Spatial correlations between the distribution of free-roaming dogs and the locations of community feeders and commercial food outlets were analyzed using the K function. During the study, 1207 captures/recaptures were performed encompassing 554 dogs, the majority (62.6%) of which were males. Agglomerations of male and female dogs were observed in the areas where food was present. Positive spatial autocorrelations were detected between the distribution of dogs and food sources. The median distances between dogs and community feeders or commercial food outlets were 1.2 and 1.4 km, respectively, and the difference between these two was statistically significant. The presence of community feeders and food outlets demonstrates the influence of human activity, on the spatial distribution of free-roaming dogs. These results will be useful for developing strategies aimed at the improvement of animal welfare and the prevention of zoonoses.

SUBMITTER: de Melo SN

PROVIDER: S-EPMC10000244 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature

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Publications

The Influence of Community Feeders and Commercial Food Outlets on the Spatial Distribution of Free-Roaming Dogs-A Photographic Capture and Recapture Study.

de Melo Saulo Nascimento SN da Silva Eduardo Sérgio ES Ribeiro Renata Aparecida Nascimento RAN Soares Paulo Henrique Araújo PHA Cunha Anna Karolyna Rodrigues AKR de Souza Gonçalves Cláudia Maria CM Melo Flávia Daniela Santos FDS Horta Marco Aurélio Pereira MAP Teixeira-Neto Rafael Gonçalves RG Belo Vinícius Silva VS

Animals : an open access journal from MDPI 20230224 5

Understanding the distribution of dogs in the environment is relevant for establishing human and animal health actions. In the present study, we analyzed the influence of community feeders and commercial food outlets on the spatial distribution of free-roaming dogs in an urban area of a municipality in Southeast Brazil. The dogs were identified via photographic capture and recapture performed over five sampling efforts. The spatial densities of dogs were determined using the Kernel method. Spati ...[more]

PMID: 36899681

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Project description:Population size is one of the basic demographic parameters for species management and conservation. Among different estimation methods, spatially explicit capture-recapture (SCR) models allow the estimation of population density in a framework that has been greatly developed in recent years. The use of automated detection devices, such as camera traps, has impressively extended SCR studies for individually identifiable species. However, its application to unmarked/partially marked species remains challenging, and no specific method has been widely used. We fitted an SCR-integrated model (SCR-IM) to stone marten Martes foina data, a species for which only some individuals are individually recognizable by natural marks, and estimate population size based on integration of three submodels: (1) individual capture histories from live capture and transponder tagging; (2) detection/nondetection or "occupancy" data using camera traps in a bigger area to extend the geographic scope of capture-recapture data; and (3) telemetry data from a set of tagged individuals. We estimated a stone marten density of 0.352 (SD: 0.081) individuals/km2. We simulated four dilution scenarios of occupancy data to study the variation in the coefficient of variation in population size estimates. We also used simulations with similar characteristics as the stone marten case study, comparing the accuracy and precision obtained from SCR-IM and SCR, to understand how submodels' integration affects the posterior distributions of estimated parameters. Based on our simulations, we found that population size estimates using SCR-IM are more accurate and precise. In our stone marten case study, the SCR-IM density estimation increased the precision by 37% when compared to the standard SCR model as regards to the coefficient of variation. This model has high potential to be used for species in which individual recognition by natural markings is not possible, therefore limiting the need to rely on invasive sampling procedures.

Dataset Information

The Influence of Community Feeders and Commercial Food Outlets on the Spatial Distribution of Free-Roaming Dogs-A Photographic Capture and Recapture Study.

Publications

The Influence of Community Feeders and Commercial Food Outlets on the Spatial Distribution of Free-Roaming Dogs-A Photographic Capture and Recapture Study.

Similar Datasets

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