Results 181 to 190 of about 1,034,249 (320)

Human–Wildlife Interactions: Turning Conflict into Coexistence edited by Beatrice Frank, Jenny A. Glikman & Silvio Marchini (2019) 476 pp., Cambridge University Press, Cambridge, UK. ISBN 978-1-108402583 (pbk), GBP 34.99.

Oryx, 2020
M. Gogoi
semanticscholar   +1 more source

Proximity to bait and social interactions influence individual wild pig (Sus scrofa) visitation at bait sites

The Journal of Wildlife Management, EarlyView.
Individual wild pig bait site visitation and time to initial detection is primarily influenced by space use (i.e., proximity to bait) and whether wild pigs from other social groups visited before. Specifically, females are less likely to visit a bait site if an adult male visits a site before them.
Sydney M. Brewer, Nathan P. Snow, James C. Beasley   +2 more
wiley   +1 more source

Book Review The Double-Crested Cormorant: Issues and Management

Human-Wildlife Interactions, 2017
Valerie M. Burton
doaj   +1 more source

Demonstration, validation, and application of hyperspectral microscopy for the collection of cyanobacterial spectral signatures

Limnology and Oceanography: Methods, EarlyView.
Abstract Cyanobacterial and other algal blooms are an environmental concern in waterbodies worldwide. While these blooms are a nuisance for recreational activities, they can also be harmful to human and wildlife health when the algae produce and release toxins.
Natalie C. Hall, Adam C. Mumford, Aaron M. Goldfain, David W. Allen, E. Terrence Slonecker, Alisa Shtabnoy, Carl J. Legleiter, Sarah A. Spaulding   +7 more
wiley   +1 more source

Emotional and attitudinal responses to social media depictions of human-wildlife interactions at wildlife tourist attractions. [PDF]

Conserv Biol
Moorhouse TP, Elwin A, D'Cruze NC.
europepmc   +1 more source

Polymer and Polymer Composite‐Based Electrochemical Sensors for Real‐Time Detection of River Water Targeted Endocrine Disruptors

Macromolecular Symposia, EarlyView.
ABSTRACT Endocrine‐disrupting chemicals (EDCs) are pervasive environmental contaminants that interfere with hormone function and pose significant risks to ecosystems and human health. Their presence in river water necessitates sensitive, selective, and real‐time detection methods for effective monitoring and mitigation.
Oana‐Maria Ulieru
wiley   +1 more source

Deep Learning Unlocks Behavioral Prediction and Neurobehavioral Decoding

Med Research, EarlyView.
This review evaluates deep learning frameworks that surmount conventional limitations through high‐dimensional nonlinear modeling, spatiotemporal dependency capture, and multimodal information integration. Focusing on biological behavior forecasting and neural mechanism decoding, we delineate cutting‐edge applications, including real‐time action ...
Tianzhe Han, Yunhua Jia, Xiaomin Hu, Shuyue Wang, Ruiwen Wang, Zhijing Zhu   +5 more
wiley   +1 more source

Ecology of conflict: marine food supply affects human-wildlife interactions on land. [PDF]

Sci Rep, 2016
Artelle KA, Anderson SC, Reynolds JD, Cooper AB, Paquet PC, Darimont CT.   +5 more
europepmc   +1 more source

Human-wildlife interactions

, 2022
Le Bel, Sébastien, Jori, Ferran, Nyirenda, Vincent R., Munyeme, Musso, Hanyire, Tapiwanashe, Usman, Muhammad Faizan, Nsende, Evans, La Grange, Mike, Mapuvire, George   +8 more
openaire   +2 more sources

Human-Wildlife Interactions: Cultural Sensitivities and Perspectives Influence the Conservation of the Philippine Brown Deer (<i>Rusa marianna</i> Desmarest, 1822). [PDF]

Animals (Basel)
Villegas JP, Pua LR, Vidláková A, Ceacero F.   +3 more
europepmc   +1 more source