Results 221 to 230 of about 109,902 (290)

The performance of drones and artificial intelligence for monitoring sage‐grouse at leks

open access: yesWildlife Biology, EarlyView.
Accurately monitoring sage‐grouse populations is critical for conservation, yet traditional ground‐based visual surveys face challenges in scalability and consistency, prompting the exploration of innovative drone‐based methodologies enhanced by artificial intelligence.
Lance B. McNew   +2 more
wiley   +1 more source

[Measles epidemic ("romé") among the Hitnü (Arauca, Colombia, 1964): an ethnography-based history]. [PDF]

open access: yesCad Saude Publica
Amaya-Castellanos C   +4 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

Beyond abundance: the impact of sampling design on effective population size estimates in capercaillie

open access: yesWildlife Biology, EarlyView.
Effective population size (Ne) is a useful parameter to evaluate the long‐term viability of populations. While obtaining enough field data from wild populations to estimate Ne directly is challenging, molecular techniques applied to non‐invasive samples provide an appealing alternative.
María‐José Bañuelos, Mario Quevedo
wiley   +1 more source

Using programmable infusion pump in avian species – a validation methodology in geese

open access: yesWildlife Biology, EarlyView.
Wildlife face anthropogenic and natural stressors that affect their physiology and behaviour. The activity of the hypothalamic–pituitary–adrenal axis and glucocorticoid (GC) production is intrinsically linked with energy regulation and environmental stressors.
Myriam Trottier‐Paquet   +5 more
wiley   +1 more source

Comparative performance of twelve machine learning models in predicting COVID-19 mortality risk in children: a population-based retrospective cohort study in Brazil. [PDF]

open access: yesPeerJ Comput Sci
Lages Dos Santos A   +8 more
europepmc   +1 more source

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