Results 161 to 170 of about 309,167 (299)

Co-infection of Echinococcus equinus and Echinococcus canadensis (G6/7) in a gray wolf in Turkey: First report and genetic variability of the isolates. [PDF]

Int J Parasitol Parasites Wildl, 2023
Kilinc SG, Celik F, Kesik HK, Selcuk MA, Ahmed H, Simsek S.   +5 more
europepmc   +1 more source

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

Wildlife 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, Eduard Mas‐Carrió, Philippine Surer, Fridolin Zimmermann, Philippe Christe, Luca Fumagalli, Nina Gerber   +6 more
wiley   +1 more source

IGWO-IVNet3: DL-Based Automatic Diagnosis of Lung Nodules Using an Improved Gray Wolf Optimization and InceptionNet-V3. [PDF]

Sensors (Basel), 2022
Bilal A, Shafiq M, Shafiq M, Fang F, Waqar M, Ullah I, Ghadi YY, Long H, Zeng R.   +8 more
europepmc   +1 more source

The wolf is back! Non‐consumptive effects of the return of a large carnivore on the use of supplementary feeding sites by roe deer

Wildlife Biology, EarlyView.
Understanding how prey species tradeoff predation risk and resource acquisition is particularly important for advancing our knowledge of predator–prey relationships. We investigated this by studying the use of concentrated anthropogenic resources, namely supplementary feeding sites, by roe deer Capreolus capreolus before and after grey wolf Canis lupus
Federico Ossi, Moniek Heurman, Arnaud Bruat, Charlotte Vanderlocht, Benjamin Robira, Nathan Ranc, Simone Dal Farra, Francesca Cagnacci   +7 more
wiley   +1 more source

A Fusion Multi-Strategy Gray Wolf Optimizer for Enhanced Coverage Optimization in Wireless Sensor Networks. [PDF]

Sensors (Basel)
Liu Z, Ou Y, Yang Z, Wang S.
europepmc   +1 more source

Aerodynamic System Machine Learning Modeling with Gray Wolf Optimization Support Vector Regression and Instability Identification Strategy of Wavelet Singular Spectrum. [PDF]

Biomimetics (Basel), 2023
Zhang M, Kong P, Xia A, Tuo W, Lv Y, Wang S.   +5 more
europepmc   +1 more source

Delineating seasonal shifts in reindeer habitat and diet selection by integrating GPS telemetry and stable isotope analysis

Wildlife Biology, EarlyView.
Seasonal changes shape herbivore behaviour by altering forage availability and habitat conditions; however, few studies integrate diet and habitat selection data across temporal scales. This study uses seasonality as a unifying framework to combine fine‐scale GPS‐based habitat selection data with broader‐scale dietary information from stable isotope ...
Tamara A. Hiltunen, Sami M. Kivelä, Jouko Kumpula, Jouni O. Aspi, Jeffrey M. Welker   +4 more
wiley   +1 more source

Gray Wolf (Canis lupus italicus) and Red Fox (Vulpes vulpes) Parasite Survey in Anthropized and Natural Areas of Central Italy. [PDF]

Vet Sci, 2023
Perrucci S, Maestrini M, Coppola F, Di Marco M, Rosso AD, Pacini MI, Zintu P, Felicioli A.   +7 more
europepmc   +1 more source

Delisting the Northern Rocky Mountain gray wolf from the US Endangered Species Act: an assessment of political discourse over 20 years

Wildlife Biology, EarlyView.
Feared, revered, and politicized, wolves have long captured human imagination, and ignited fierce conservation conflicts. In the United States, the Endangered Species Act protects species at risk of extinction from human impacts. This far‐reaching legislation, which impacts development and state‐level wildlife management, has been fraught with legal ...
Iree Wheeler, Paisley Blair, Noah Creany, Hannah Manire, Daniel Morris, Sofia Mollett, Steelle S. Scearce, Temple Stoellinger, Janna R. Willoughby, Kelly H. Dunning   +9 more
wiley   +1 more source

Recognition of PRI modulation using an optimized convolutional neural network with a gray wolf optimization based on internet protocol and optimal extreme learning machine. [PDF]

Sci Rep
Khodabandeh M, Mahmoodzadeh A, Agahi H.
europepmc   +1 more source