Results 91 to 100 of about 2,941 (205)
Global climate change is reshaping the schedules and routes of migratory birds, which can disrupt annual cycles, ecological interactions and the fitness trade‐offs of migrating or staying resident. In particular, climate change has led to advances in arrival at the breeding grounds and to shifts in the timing of post‐breeding migration, whereby both ...
Bashar Jarayseh +2 more
wiley +1 more source
Species occurrence data are essential for understanding biodiversity patterns; however, the necessary fieldwork to generate them demands substantial resources and time. Citizen science programmes, such as birdwatching initiatives, can complement traditional sampling by expanding data collection.
Leda A. P. Stefan +2 more
wiley +1 more source
ABSTRACT Habitat loss and fragmentation are causing major global biodiversity declines. Strategic ecological restoration can mitigate native vegetation decline, and is especially important for fauna with habitat and dietary specialisations, for which restoring key ecosystem features may be more critical than increasing revegetated area.
Sarah Legge +9 more
wiley +1 more source
Abstract Ecological forecasting is a powerful framework to predict future states of ecological systems, including species distributions and supporting proactive conservation, management, and policy decisions that exist in a rapidly changing world. Forecasting efforts span a diversity of systems and organisms, yet many ecological phenomena, especially ...
Carolyn S. Burt +3 more
wiley +1 more source
Abstract In 2023, the American Ornithological Society announced it will phase out the English eponymous (honorific) names of 152 bird species in the United States and Canada, some of which are named after historical figures with racist, genocidal, or otherwise violent histories that serve as reminders of ornithology's exclusive origins.
Kirsten Vinyeta +3 more
wiley +1 more source
Box plots show the distribution of 14 bird species’ correlation coefficients comparing A) the annual estimates and B) inter-annual changes of town-level BBS detection probability (DP) with eBird GLMM-DP and RF-DP.
Mei-Ling Emily Feng (11419274) +1 more
core +1 more source
Bacpipe: A Python package to make bioacoustic deep learning models accessible
Abstract Natural sounds have been recorded for millions of hours over the previous decades using passive acoustic monitoring. Improvements in deep learning models have vastly accelerated the analysis of large portions of this data. While new models advance the state‐of‐the‐art, accessing them using tools to harness their full potential is not always ...
Vincent S. Kather +3 more
wiley +1 more source
Future of edge AI in biodiversity monitoring
Abstract Many ecological decisions are slowed by the gap between collecting and analysing biodiversity information. Edge computing moves data processing closer to the sensor, with edge artificial intelligence (AI) using AI models for data processing and selective data transfer.
Aude Vuilliomenet +2 more
wiley +1 more source
Shifts in breeding phenology for Cassin’s Sparrow ( Peucaea cassinii ) over four decades
Cassin’s Sparrow ( Peucaea cassinii ) is an elusive resident of the southwestern United States, southern Great Plains, and northern Mexico. Despite long-standing interest, its breeding phenology is not well established. Using 40 years of eBird occurrence
John L. Schnase +3 more
doaj +1 more source
Urban greenspaces are important areas for biodiversity, serving multiple uses, sometimes including conservation and biodiversity management. Citizen science provides a cheap and potentially effective method of assisting biodiversity management in urban ...
Corey T. Callaghan +4 more
doaj +1 more source

