Population dynamics of free-roaming dogs in two European regions and implications for population control.


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2022
Historique:
received: 23 03 2022
accepted: 23 08 2022
entrez: 9 9 2022
pubmed: 10 9 2022
medline: 14 9 2022
Statut: epublish

Résumé

Changes in free-roaming dog population size are important indicators of the effectiveness of dog population management. Assessing the effectiveness of different management methods also requires estimating the processes that change population size, such as the rates of recruitment into and removal from a population. This is one of the first studies to quantify the size, rates of recruitment and removal, and health and welfare status of free-roaming dog populations in Europe. We determined the size, dynamics, and health status of free-roaming dog populations in Pescara, Italy, and Lviv, Ukraine, over a 15-month study period. Both study populations had ongoing dog population management through catch-neuter-release and sheltering programmes. Average monthly apparent survival probability was 0.93 (95% CI 0.81-1.00) in Pescara and 0.93 (95% CI 0.84-0.99) in Lviv. An average of 7 dogs km-2 were observed in Pescara and 40 dogs km-2 in Lviv. Per capita entry probabilities varied between 0.09 and 0.20 in Pescara, and 0.12 and 0.42 in Lviv. In Lviv, detection probability was lower on weekdays (odds ratio: 0.74, 95% CI 0.53-0.96) and higher on market days (odds ratio: 2.58, 95% CI 1.28-4.14), and apparent survival probability was lower in males (odds ratio: 0.25, 95% CI 0.03-0.59). Few juveniles were observed in the study populations, indicating that recruitment may be occurring by movement between dog subpopulations (e.g. from local owned or neighbouring free-roaming dog populations), with important consequences for population control. This study provides important data for planning effective dog population management and for informing population and infectious disease modelling.

Identifiants

pubmed: 36083890
doi: 10.1371/journal.pone.0266636
pii: PONE-D-22-07758
pmc: PMC9462782
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0266636

Déclaration de conflit d'intérêts

The authors declare that: A.M.M. and S.H. are employed by VIER PFOTEN International, a global animal welfare organisation; L.M.C has received a research grant from VIER PFOTEN International; and L.M.S.’s research has been funded by VIER PFOTEN International. This does not alter our adherence to PLOS ONE policies on sharing data and materials.

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Auteurs

Lauren Margaret Smith (LM)

Faculty of Biological Sciences, University of Leeds, Leeds, United Kingdom.

Conor Goold (C)

Faculty of Biological Sciences, University of Leeds, Leeds, United Kingdom.

Rupert J Quinnell (RJ)

Faculty of Biological Sciences, University of Leeds, Leeds, United Kingdom.

Alexandru M Munteanu (AM)

VIER PFOTEN International, Vienna, Austria.

Sabine Hartmann (S)

VIER PFOTEN International, Vienna, Austria.

Paolo Dalla Villa (P)

Istituto Zooprofilattico Sperimentale dell'Abruzzo e del Molise "G. Caporale", Teramo, Italy.
World Organization for Animal Health, OIE Sub-Regional Representation in Brussels, Brussels, Belgium.

Lisa M Collins (LM)

Faculty of Biological Sciences, University of Leeds, Leeds, United Kingdom.

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Classifications MeSH