Results 221 to 230 of about 21,414 (303)
Urban expansion is a major driver of habitat fragmentation, shrinking wildlife habitat, and restricting wildlife movements and activity patterns. In this novel environment, species must adapt to the new composition of wildlife communities. For example, red squirrels Sciurus vulgaris are commonly found in urban environments, while their potential ...
Josefa Vergara Stuardo +2 more
wiley +1 more source
Feasibility of Force-Sensing Finger Assessment in Elite Fencers: A Pilot Study with Clinical Translational Potential. [PDF]
Akbaş A, Pawłowski M.
europepmc +1 more source
Drones equipped with thermal infrared (TIR) cameras offer significant time and labor savings in estimating wild ungulate populations. However, accurately monitoring forest‐dwelling ungulates remains challenging due to their elusive behavior and complex habitat.
Jinhwi Kim, Donggul Woo
wiley +1 more source
Cattle manure suppresses methane consumption and enhances denitrification-associated nitrous oxide production in farm dams. [PDF]
Schuster L +5 more
europepmc +1 more source
Ungulate substrate use in fauna passages
Fauna passages are increasingly constructed at major roads and railways to mitigate the negative effects of infrastructure and traffic on wildlife. The function of such passages depends on design, including the construction materials, soil, and vegetation.
Milla Niemi, Jan Olof Helldin
wiley +1 more source
Training Rarámuri Criollo Cattle to Virtual Fencing in a Chaparral Rangeland. [PDF]
Campa Madrid SE +11 more
europepmc +1 more source
Wildlife in urban areas is often a source of conflict, yet relatively few efforts have been directed toward fostering coexistence in these human‐dominated landscapes. While previous research has focused on socio‐demographic factors influencing perceptions of wildlife, the role of specific animal traits in shaping acceptance remains underexplored.
Simon S. Moesch +3 more
wiley +1 more source
Effects of complex training on physical performance in elite modern pentathletes during precompetition periods. [PDF]
Liu M +8 more
europepmc +1 more source
This research paper investigates the efficacy of leading machine learning (ML) models for detecting and identifying ungulate species in African savanna using nadir imagery from unmanned aerial vehicles (UAVs). Traditional aerial counting methods, while widely used, suffer from significant limitations in accuracy and precision, in part due to human ...
Paul Allin +4 more
wiley +1 more source
Community mitigation decisions in elephant conflict zones of southern India depend on environmental and socio-economic drivers. [PDF]
Prasad S +3 more
europepmc +1 more source

