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- W3210724501 abstract "Globally, unowned cats are a common element of urban landscapes, and the focus of diverse fields of study due to welfare, conservation and public health concerns. However, their abundance and distribution are poorly understood at large spatial scales. Here, we use an Integrated Abundance Model to counter biases that are inherent in public records of unowned cat sightings to assess important drivers of their abundance from 162 sites across five urban towns and cities in England. We demonstrate that deprivation indices and human population densities contribute to the number of unowned cats. We provide the first spatially explicit estimates of expected distributions and abundance of unowned cats across a national scale and estimate the total UK urban unowned cat population to be 247,429 (95% credible interval: 157,153 to 365,793). Our results provide a new baseline and approach for studies on unowned cats and links to the importance of human-mediated effects." @default.
- W3210724501 created "2021-11-08" @default.
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- W3210724501 date "2021-10-28" @default.
- W3210724501 modified "2023-09-25" @default.
- W3210724501 title "Human influences shape the first spatially explicit national estimate of urban unowned cat abundance" @default.
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- W3210724501 doi "https://doi.org/10.1038/s41598-021-99298-6" @default.
- W3210724501 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/8553937" @default.
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