Planning and optimizing neutering programs for free-roaming cat populations: An interactive tool for cost-effective management in closed systems
Data files
Mar 24, 2025 version files 5.40 KB
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cats_pop_data.csv
2.89 KB
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README.md
2.51 KB
Abstract
The management of free-roaming cat (Felis catus) populations is a complex eco-sociological dilemma. Cats with outdoor access pose significant threats to wildlife through direct predation and indirect effects, leading some conservationists to advocate for stringent control measures, including lethal methods for managing unowned cat populations. However, public sentiment, alongside evidence that lethal methods often lack long-term efficacy and cost-effectiveness, often supports the adoption of non-lethal methods, such as Trap-Neuter-Return (TNR). In certain European countries, TNR is the only legally permissible method. Despite its widespread adoption, a limited understanding of cat population dynamics, combined with inadequate planning and resource allocation, can lead to ineffective outcomes, potentially exacerbating the growth of cat populations. We used the free-roaming cat population (both unowned and owned cats) on Linosa —a small Mediterranean island of high biodiversity importance —as a case study. Census data were collected over three consecutive years, and a Bayesian statistical model was developed to estimate population dynamics and assess the varying impacts of neutering efforts over time, extending the analysis to 60 months beyond the latest census. The model also evaluated different budget scenarios based on the intensity of neutering efforts applied. The model highlighted the importance of high-frequency, female-focused neutering efforts to achieve long-term population control and cost efficiency. Additionally, it demonstrated that in our study population, such intensive efforts improved the precision of population estimates, thereby reducing uncertainty in management outcomes. To translate the model to an accessible tool to conservation planners, animal welfare organizations, and policymakers, we developed an interactive and user-friendly dashboard, available at https://bgtemp.wixsite.com/catspva. This tool allows users to customize scenarios by inputting initial estimates of the free-roaming cat population and its characteristics. We believe this interactive and practical approach provides an essential framework for planning and implementing neutering campaigns of free-roaming cats, helping decision-makers to address this urgent issue in a timely and cost-effective manner.
Dataset DOI: 10.5061/dryad.j9kd51cq8
Description of the data and file structure
The dataset was collected as part of a study on managing free-roaming cat populations. The research focused on the cat population of Linosa, a small Mediterranean island, to evaluate the effectiveness and cost-efficiency of different neutering efforts.
Annual population censuses (2021–2023) were conducted through door-to-door surveys, recording the number, sex, and reproductive status of cats. Six neutering sessions were carried out during this period, targeting both unowned and owned outdoor-access cats. A Bayesian statistical model was developed to analyse population dynamics, estimate birth and mortality rates, and predict the long-term impact of neutering interventions.
Files and variables
File*File: cats_pop_data.csv*
Description:
Variables:
- ID: Unique identifier for each data entry.
month: Numeric month of data collection (1 = January, 12 = December).
year: Year of data collection.
month_year: Combination of month and year (e.g., "1_2021" for January 2021).
F_a_fert: Number of adult fertile females.
F_a_sterl: Number of adult sterilized females.
M_a_fert: Number of adult fertile males.
M_a_sterl: Number of adult sterilized males.
F_j.new: Number of newly matured juvenile females.
M_j.new: Number of newly matured juvenile males.
new_births: Total number of new births recorded.
F_a_fert.death: Number of deaths among fertile adult females.
F_a_sterl.death: Number of deaths among sterilized adult females.
M_a_fert.death: Number of deaths among fertile adult males.
M_a_sterl.death: Number of deaths among sterilized adult males.
total_pop: Estimated total cat population at the given time point.
S_F: Number of newly sterilized females (Sₜ,F).
S_M: Number of newly sterilized males (Sₜ,M).
Missing Values: Missing values are indicated as blank cells or "NA" where applicable.
Code/software
The dataset can be viewed and analysed using R (version 4.0 or later), Python (version 3.7 or later), and standard spreadsheet applications such as Microsoft Excel or Google Sheets. No specialized software is required to access the raw data.
Access information
N/A