Results 201 to 210 of about 161,988 (290)

Wildlife temporal behaviors in response to human activity changes during and following COVID‐19 park closures

open access: yesWildlife Biology, EarlyView.
With urbanization reducing the amount of available wildlife habitat, and outdoor recreation increasing the human activity within wildlife habitats, it is important to understand the effects of human activity on animal behavior. This study examined how the reduction in human presence in urban parks in Gainesville, Florida, affected the temporal ...
Maya Fives, Matthew Hallett
wiley   +1 more source

Genomic erosion across avian lineages in the context of their evolutionary history. [PDF]

open access: yesMol Biol Evol
Wang X   +8 more
europepmc   +1 more source

DNA metabarcoding reveals wolf dietary patterns in the northern Alps and Jura Mountains

open access: yesWildlife Biology, EarlyView.
Understanding predator–prey interactions is crucial for wildlife management and human–wildlife coexistence, particularly in multi‐use landscapes such as western Europe. As wolves Canis lupus recolonize their former habitats, knowledge of their diet is essential for conservation, management and public acceptance.
Florin Kunz   +6 more
wiley   +1 more source

Adaptive bandit algorithms increase efficiency of mobile tuberculosis screening programs. [PDF]

open access: yesSci Rep
Zhang J   +11 more
europepmc   +1 more source

Effects of complex soundscapes on the occurrence of Anaxipha pallidula in isolated green spaces in Tokyo

open access: yesWildlife Biology, EarlyView.
Urban green spaces experience a mix of natural and anthropogenic noises, which could disrupt the vocal communication of several species. This study investigated how such complex soundscapes affect the occurrence of Anaxipha pallidula, which communicates through calls, focusing on both sound level and quality.
Hiroki Mori, Takeshi Osawa
wiley   +1 more source

Evaluating machine learning models for multi‐species wildlife detection and identification on remote sensed nadir imagery in South African savanna

open access: yesWildlife Biology, EarlyView.
This research paper investigates the efficacy of leading machine learning (ML) models for detecting and identifying ungulate species in African savanna using nadir imagery from unmanned aerial vehicles (UAVs). Traditional aerial counting methods, while widely used, suffer from significant limitations in accuracy and precision, in part due to human ...
Paul Allin   +4 more
wiley   +1 more source

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