Results 181 to 190 of about 48,378 (305)

Does a decision support tool designed to depict West Nile virus risk explain variation in ruffed grouse Bonasa umbellus use of managed forests?

open access: yesWildlife Biology, EarlyView.
Infectious diseases are commonly cited as significant contributors to wildlife population declines. It is, therefore, important to investigate the extent to which tools designed to mitigate the effects of infectious diseases explain wildlife responses to habitat management.
Jacob Goldman   +8 more
wiley   +1 more source

Assessing the utility of autonomous recording units and spring point counts for monitoring abundance of ruffed grouse Bonasa umbellus

open access: yesWildlife Biology, EarlyView.
The ruffed grouse Bonasa umbellus is a species of conservation concern that has declined across most of its range. At the southeastern trailing edge of the range in Georgia, grouse are restricted to elevations 600 m a.s.l. and abundance is relatively low.
Clayton D. Delancey   +5 more
wiley   +1 more source

Annual survival in a dynamic species: pronghorn survival patterns across their northern range

open access: yesWildlife Biology, EarlyView.
Quantifying variation in demographic patterns, such as survival and recruitment, is critical for understanding population dynamics and informing evidence‐based and adaptive wildlife management. In this study, we leverage an extensive dataset from over 1000 GPS collared pronghorn Antilocapra americana to provide the first large‐scale evaluation of ...
Molly C. McDevitt   +5 more
wiley   +1 more source

Adaptive harvesting of two trophic levels stabilises predator–prey dynamics. Simulations with Eurasian lynx and European roe deer

open access: yesWildlife Biology, EarlyView.
Europe has seen the recovery of many species of wild herbivores, which are now widespread across much of the continent. In addition, large carnivores are also recolonising many European countries. Most ungulates are managed through hunting, but natural predation can also have a significant influence in many areas.
Cécile A. E. Carpentier   +4 more
wiley   +1 more source

Lightweight Convolutional Neural Networks Model and Data Augmentation‐Based Background Regression for Rail Surface Defect Detection

open access: yesArtificial Intelligence for Engineering, EarlyView.
An ultra‐lightweight semantic segmentation network RailNet with only 0.905 M parameters is proposed for rail surface defect detection. Combined with a CDBM image enhancement and GAN‐based data augmentation, RailNet achieves superior segmentation accuracy and real‐time speed on edge devices.
Ziqing Wu   +4 more
wiley   +1 more source

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