Seasonal abundance and habitat associations of wandering cats and birds in a temperate zone biodiversity hotspot
Bibliographic record
Abstract
,The interaction between birds and wandering domestic cats is an ongoing challenge for both wildlife conservation and cat welfare, particularly in regions where high avian diversity overlaps with dense human development and wandering cats. I examined the abundance, richness and community structure of birds and the abundance of wandering domestic cats (Felis catus), in the temperate biodiversity hotspot of the south Okanagan Valley, British Columbia, Canada, between Okanagan Falls and Osoyoos, across an entire annual period. I did this by pairing point counts and photos from trail cameras from 123 locations across five seasonal periods between March 2022 and March 2023, assessing the habitat associations of birds and cats across a variety of land use types, including urban, peri-urban, agricultural, and natural. I conducted a total of 2380 point counts and used hierarchical modelling and unconstrained ordination to examine bird abundance and species richness, and community composition, respectively. My results revealed distinct seasonal patterns of bird abundance and richness with these metrics being the highest during spring migration and the breeding season. Urbanization and human development impacted the distribution of birds year-round, especially in the non-breeding seasons when a large diversity of species used urban areas. Using the same locations as the point counts, but shifting cameras every 28 days, I examined local abundance of wandering cats. I showed that wandering cats were found in high abundances in urban habitats year-round but overall had the highest abundances during the early winter, spring, and summer. Wandering cats were detected at 100% of peri-urban sites, 97% of urban sites, 65% of agricultural sites and 42% of natural sites. I estimated an annual average of 6,557 wandering cats within the study area with up to 82% of them being unowned cats, equating to one cat for every two to three people. Overall, I demonstrate the importance of identifying where birds are and what habitats they are using across the entire year and not only during distinct periods within the annual cycle (e.g. breeding). The high numbers of wandering cats, combined with the diversity of birds and other wildlife, suggests that cats likely have significant impacts on birds and other wildlife year-round in the study region and likely elsewhere. In the south Okanagan Valley, management actions such as outreach initiatives should take a seasonal and habitat-based approach. Outreach should focus on encouraging urban residents to keep their cats indoors during the winter because many species move into urban areas at this time. Resident in peri-urban and agricultural habitats should be encouraged or incentivised to spay and neuter cats on their property and keep cats inside during spring, summer, and fall when high cat numbers overlap with high bird abundance and richness. Given the high abundance and richness of birds along with the highest currently reported abundances of wandering cats per capita, these results stress the urgent need for collaborative efforts among municipalities, stakeholders, and residents to mitigate the ecological impact of wandering cats and help preserve the biodiversity of this unique region.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".