Assessing the impact of free-roaming dog population management through systems modelling.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
06 07 2022
Historique:
received: 02 12 2021
accepted: 16 06 2022
entrez: 6 7 2022
pubmed: 7 7 2022
medline: 9 7 2022
Statut: epublish

Résumé

Free-roaming dogs can present significant challenges to public health, wildlife conservation, and livestock production. Free-roaming dogs may also experience poor health and welfare. Dog population management is widely conducted to mitigate these issues. To ensure efficient use of resources, it is critical that effective, cost-efficient, and high-welfare strategies are identified. The dog population comprises distinct subpopulations characterised by their restriction status and level of ownership, but the assessment of dog population management often fails to consider the impact of the interaction between subpopulations on management success. We present a system dynamics model that incorporates an interactive and dynamic system of dog subpopulations. Methods incorporating both fertility control and responsible ownership interventions (leading to a reduction in abandonment and roaming of owned dogs, and an increase in shelter adoptions) have the greatest potential to reduce free-roaming dog population sizes over longer periods of time, whilst being cost-effective and improving overall welfare. We suggest that future management should be applied at high levels of coverage and should target all sources of population increase, such as abandonment, births, and owners of free-roaming dogs, to ensure effective and cost-efficient reduction in free-roaming dog numbers.

Identifiants

pubmed: 35794142
doi: 10.1038/s41598-022-15049-1
pii: 10.1038/s41598-022-15049-1
pmc: PMC9259565
doi:

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

11452

Informations de copyright

© 2022. The Author(s).

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Auteurs

Lauren M Smith (LM)

School of Biology, Faculty of Biological Sciences, University of Leeds, Leeds, LS2 9JT, UK. lauren.m.smith026@gmail.com.

Rupert J Quinnell (RJ)

School of Biology, Faculty of Biological Sciences, University of Leeds, Leeds, LS2 9JT, UK.

Conor Goold (C)

School of Biology, Faculty of Biological Sciences, University of Leeds, Leeds, LS2 9JT, UK.

Alexandru M Munteanu (AM)

VIER PFOTEN International, Vienna, Austria.

Sabine Hartmann (S)

VIER PFOTEN International, Vienna, Austria.

Lisa M Collins (LM)

School of Biology, Faculty of Biological Sciences, University of Leeds, Leeds, LS2 9JT, UK. L.Collins@leeds.ac.uk.

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Classifications MeSH