The wildlife nextdoor: Socioeconomics and race predict social media carnivore reports DOI Creative Commons
Wilson C. Sherman, Christopher J. Schell, Christine E. Wilkinson

и другие.

The Science of The Total Environment, Год журнала: 2025, Номер 977, С. 179227 - 179227

Опубликована: Апрель 14, 2025

Social media and other internet-based, community generated datasets are emerging as valuable tools in advancing our understanding of biodiversity distributions across urban environments. However, it is unclear how best to harness these data for managing mitigating human-wildlife conflicts an urbanizing world. In this study, we analyzed 2584 posts comments on carnivore sightings, human-carnivore interactions, attitudes towards carnivores via the neighborhood-based social platform Nextdoor, focusing 52 peri-urban neighborhoods near Angeles National Forest California. We focused two most frequently discussed species: coyote (Canis latrans) American black bear (Ursus americanus). social-ecological covariates potential predictors reports, also compared sightings species collected logging application, iNaturalist. found that whiter, wealthier, less densely populated closer national forest tended report more conflict, while conflict did not show a clear relationship with metrics racial makeup or intensity. wealthier had higher percentages population registered indicating possible bias participation. Comments expressing positive bears were almost five times common than coyotes. Finally, number Nextdoor reports both 11 numerous observations iNaturalist within same window time locations. conclude can be viable predicting interactions. utility coexistence will nullified if researchers managers do fully account socioeconomic biases influencing who participates reporting process. Building inclusive accessible could therefore beneficial equity wildlife engaging diverse public nature.

Язык: Английский

The wildlife nextdoor: Socioeconomics and race predict social media carnivore reports DOI Creative Commons
Wilson C. Sherman, Christopher J. Schell, Christine E. Wilkinson

и другие.

The Science of The Total Environment, Год журнала: 2025, Номер 977, С. 179227 - 179227

Опубликована: Апрель 14, 2025

Social media and other internet-based, community generated datasets are emerging as valuable tools in advancing our understanding of biodiversity distributions across urban environments. However, it is unclear how best to harness these data for managing mitigating human-wildlife conflicts an urbanizing world. In this study, we analyzed 2584 posts comments on carnivore sightings, human-carnivore interactions, attitudes towards carnivores via the neighborhood-based social platform Nextdoor, focusing 52 peri-urban neighborhoods near Angeles National Forest California. We focused two most frequently discussed species: coyote (Canis latrans) American black bear (Ursus americanus). social-ecological covariates potential predictors reports, also compared sightings species collected logging application, iNaturalist. found that whiter, wealthier, less densely populated closer national forest tended report more conflict, while conflict did not show a clear relationship with metrics racial makeup or intensity. wealthier had higher percentages population registered indicating possible bias participation. Comments expressing positive bears were almost five times common than coyotes. Finally, number Nextdoor reports both 11 numerous observations iNaturalist within same window time locations. conclude can be viable predicting interactions. utility coexistence will nullified if researchers managers do fully account socioeconomic biases influencing who participates reporting process. Building inclusive accessible could therefore beneficial equity wildlife engaging diverse public nature.

Язык: Английский

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