Results 161 to 170 of about 180,719 (262)

Individual movement modeling expands the power of migratory species observations: North Atlantic right whale case study

Limnology and Oceanography: Methods, EarlyView.
Abstract Understanding a population's distribution depends on observing the presence and movement of individuals throughout their range. For highly mobile marine species, these observations typically rely on high effort monitoring programs. Tracking enough individuals to understand trends in movement behavior is not always logistically feasible, and ...
Abigail M. Kreuser, Daniel E. Pendleton, Nicholas R. Record, Erin L. Meyer‐Gutbrod   +3 more
wiley   +1 more source

Artificial intelligence-driven solutions for mitigating human-wildlife conflict in biodiversity hotspots. [PDF]

Sci Prog
Ojija F, Ogwu MC, Ally J, John JP, Stephano A, Felix N, Tekka R.   +6 more
europepmc   +1 more source

Human-Wildlife Conflict: The Human Dimension of European Bison Conservation in the Bieszczady Mountains (Poland). [PDF]

Animals (Basel), 2021
Klich D, Łopucki R, Perlińska-Teresiak M, Lenkiewicz-Bardzińska A, Olech W.   +4 more
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

An AI-Based Integrated Multi-Sensor System with Edge Computing for the Adaptive Management of Human-Wildlife Conflict. [PDF]

Sensors (Basel)
Hajder M, Kolbusz J, Liput M.
europepmc   +1 more source

Panthera tigris jacksoni Population Crash and Impending Extinction due to Environmental Perturbation and Human-Wildlife Conflict. [PDF]

Animals (Basel), 2021
Ten DCY, Jani R, Hashim NH, Saaban S, Abu Hashim AK, Abdullah MT.   +5 more
europepmc   +1 more source

Human–wildlife coexistence in science and practice

Conservation Science and Practice, 2021
Hannes J. König, Neil Carter, Silvia Ceaușu, Clayton Lamb, Adam T. Ford, Christian Kiffner   +5 more
doaj   +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

Great cormorants and grey herons depredating at finfish aquaculture: Factors affecting the human-wildlife conflict. [PDF]

Ambio
Ekblad C, Westerbom M, Laaksonen T, Kankainen M, Ovaskainen A, Sinisalo S, Jormalainen V.   +6 more
europepmc   +1 more source

Coincidence of low genetic diversity and increasing population size in wild gaur populations in the Khao Phaeng Ma Non-Hunting Area, Thailand: A challenge for conservation management under human-wildlife conflict. [PDF]

PLoS One, 2022
Duengkae P, Ariyaraphong N, Tipkantha W, Jairak W, Baicharoen S, Nguyen DHM, Korboon O, Singchat W, Panthum T, Ahmad SF, Kaewkhunjob E, Chaisonkhram C, Maikaew U, Muangmai N, Ieamsaard G, Sripiboon S, Paansri P, Suksavate W, Chaiyes A, Winitpornsawan S, Prayoon U, Sornsa T, Chokcharoen R, Buanual A, Siriaroonrat B, Utara Y, Srikulnath K.   +26 more
europepmc   +1 more source