Results 21 to 30 of about 4,025 (135)
Individual bird identification by modelling temporal structure in bioacoustic embeddings
Methods in Ecology and Evolution, EarlyView.Abstract Identifying individual animals from vocalizations is an emerging research area in computational bioacoustics. This non‐invasive approach reduces reliance on physical capture and tagging for wildlife monitoring. Recent advances in this area leverage deep learning and bioacoustic foundation models adapted from species‐level classifiers. However,
Jonathan Gallego +2 more
wiley +1 more source
Enhanced fish detection sensitivity in aquatic systems using environmental RNA
Methods in Ecology and Evolution, EarlyView.Abstract Environmental RNA (eRNA) can potentially augment the biological monitoring ability of the established environmental DNA (eDNA) application in conservation. Despite faster degradation, environmental RNA could offer unique advantages: it may help reduce the legacy signal compared to eDNA, provide insights into physiological status through gene ...
Ana Ramón‐Laca +9 more
wiley +1 more source
Boreas, EarlyView.The glacierized Valle Frías in Northern Patagonia is one of the best‐studied valleys in South America and includes varved sediments from Lago Frías. We complement this lacustrine record with a high‐resolution documentation of varve counts and their composition.
Bernd Zolitschka +6 more
wiley +1 more source
The collective application of shorebird tracking data to conservation
Conservation Biology, EarlyView.Abstract Addressing urgent conservation issues, such as the drastic declines of North American migratory birds, requires creative, evidence‐based, efficient, and collaborative approaches. The abundance of over 50% of monitored North American shorebird populations has declined by over 50% since 1980. To address these declines, we developed a partnership
Autumn‐Lynn Harrison +71 more
wiley +1 more source
Emerging applications of large language models in ecology and conservation science
Conservation Biology, EarlyView.Abstract Large language models (LLMs) mark a major development in artificial intelligence, with potentially transformative implications for ecology and conservation science. Built on advanced deep‐learning architectures, these models can support a wide range of tasks. We reviewed emerging applications of LLMs, drawing on the wider scientific literature
Christos Mammides +5 more
wiley +1 more source
Ibis, EarlyView.The vast increase in biodiversity data generated through citizen science initiatives, alongside a growing suite of remote sensing products and advanced modelling tools, has opened new avenues for rapidly, accurately and efficiently monitoring species trends to inform conservation, management and policy.
Ramiro D. Crego +7 more
wiley +1 more source
e-Ciencias de la Información, 2012 Investigación descriptiva, cuyos objetivos son los siguientes: a) Analizar los conceptos de información y ciencia de la información y su incidencia en las organizaciones; b) Identificar cómo la ciencia de la información aporta elementos para el estudio ...
Celso Martínez Musiño
doaj +5 more sources
Subsistence hunting shapes the spatial variation of jaguar densities in community‐managed forests
Journal of Zoology, EarlyView.Jaguars and people can coexist in community‐managed forests, but distance matters. In Guatemala's Maya Biosphere Reserve, jaguar numbers increased markedly in areas harder to reach on foot, yet jaguars were still found near communities, showing that responsibly managed forests can support jaguar populations while allowing people to maintain traditional
L. Perera‐Romero +5 more
wiley +1 more source