Biodiversity significance of small habitat patches: More than half of Indian bird species are in academic campuses

Landscape and Urban Planning, Год журнала: 2022, Номер 228, С. 104552 - 104552

Опубликована: Сен. 5, 2022

Язык: Английский

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Who, where, when: Observer behavior influences spatial and temporal patterns of iNaturalist participation

Applied Geography, Год журнала: 2023, Номер 153, С. 102916 - 102916

Опубликована: Фев. 24, 2023

Understanding the observation process is key to effective use of opportunistic biodiversity data from low-structure citizen science. We investigated how observer characteristics, including activity level (enthusiastic, moderate, or short-term) and primary location (resident visitor), influenced spatial taxonomic patterns iNaturalist participation in Hawaiian Islands 2008 2021. found that visitors represented nearly two-thirds all observers 96% enthusiastic group. Sampling bias toward developed areas, sites near roads trails, areas with fewer protections was relatively stronger for residents, most whom were short-term participants. However, observations by residents had greatest diversity. Participation grew exponentially through 2019, then decreased spring 2020. Though resident comparatively steady during COVID-19 travel restrictions, it did not compensate decline visitor activity. Once restrictions ended 2021, recovered quickly among but continued be lower than expected residents. Our results indicate majority diversity sampling relies on a small group highly active observers, are unlikely live region. Fostering sustained, local could improve consistency quality thus their utility conservation.

Язык: Английский

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Wild sulphur-crested cockatoos match human activity rhythms to access food in the urban environment

Urban Ecosystems, Год журнала: 2024, Номер 27(6), С. 2179 - 2189

Опубликована: Июль 22, 2024

Abstract Urban areas are growing rapidly across the globe. Such environments present specific challenges to wildlife. Resources can be highly fragmented in space and time, accompanied by risks opportunities that emerge from proximity with humans. Overall, these have been shown lead activity patterns wildlife, which tend restrict their use accordingly avoid encounters Yet, some foraging supplied humans also attract Urban-dwelling species would therefore benefit learning when where exploit human derived food. Here, we investigate how birds of different degrees urbanization if they do so time patterns. We used example feeding sulphur-crested cockatoos ( Cacatua galerita ) Sydney, Australia. combined tracking identify key resources, a citizen science approach human-wildlife interactions urban landscape. Our data suggest SCC not all parts home range equally, but green spaces as roosting areas, while facultatively using more urbanized at times most rewarding. This implies role for sophisticated place learning, matching study builds on literature investigating human-animal interactions, expanding our understanding animals’ exploitation behavior. results highlight unique opportunity studies wildlife biodiversity establishment, maintenance, cognitive ecology.

Язык: Английский

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Urban greenspaces benefit both human utility and biodiversity

Urban forestry & urban greening, Год журнала: 2025, Номер unknown, С. 128791 - 128791

Опубликована: Март 1, 2025

Язык: Английский

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Comparisons of Citizen Science Data-Gathering Approaches to Evaluate Urban Butterfly Diversity

Insects, Год журнала: 2018, Номер 9(4), С. 186 - 186

Опубликована: Дек. 6, 2018

By 2030, ten percent of earth’s landmass will be occupied by cities. Urban environments can home to many plants and animals, but surveying estimating biodiversity in these spaces is complicated a heterogeneous built environment where access landscaping are highly variable due human activity. Citizen science approaches may the best way assess urban biodiversity, little known about their relative effectiveness efficiency. Here, we compare three techniques for acquiring data on butterfly (Lepidoptera: Rhopalocera) species richness: trained volunteer Pollard walks, Malaise trapping with expert identification, crowd-sourced iNaturalist observations. A total 30 were observed; 27 (90%) recorded walk observers, 18 (60%) found traps, 22 (73%) reported observers. walks highest richness, followed then traps during four-month time period. also had significantly higher diversity than traps.

Язык: Английский

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