Results 171 to 180 of about 256,548 (299)

Environmental Contaminant Accumulation in Freshwater Turtles Inhabiting Three Rivers of the Permian Basin, New Mexico, USA

open access: yesEnvironmental Toxicology, EarlyView.
ABSTRACT Freshwater turtles are valuable sentinels of aquatic systems due to their long lifespans and resilience in environments impacted by contaminants. The Permian Basin, dominated by the oil and gas sector, spans western Texas and southeastern New Mexico, USA, including the Pecos River and its tributaries, the Delaware and Black Rivers.
Ana G. G. Sapp   +4 more
wiley   +1 more source

Monitoring GPS‐collared moose by ground versus drone approaches: efficiency and disturbance effects

open access: yesWildlife Biology, EarlyView.
Efficient wildlife management requires precise monitoring methods, for example to estimate population density, reproductive success, and survival. Here, we compared the efficiency of drone (equipped with a RGB camera) and ground approaches to detect and observe GPS‐collared female moose Alces alces and their calves. We also quantified how drone (n = 42)
Martin Mayer   +8 more
wiley   +1 more source

Den attendance by Arctic foxes experiencing 10 years of increasing tourism

open access: yesWildlife Biology, EarlyView.
Wildlife tourism is a growing industry, and an increasing number of people seek to observe and interact with wild animals in their natural surroundings. In Iceland, the native Arctic fox Vulpes lagopus is widespread and has been under heavy hunting pressure for centuries.
Ester Rut Unnsteinsdóttir   +2 more
wiley   +1 more source

Long-term vegetation changes in elephant-related areas of concern in Kruger National Park, South Africa. [PDF]

open access: yesEcol Appl
Coetsee C   +6 more
europepmc   +1 more source

Evaluating machine learning models for multi‐species wildlife detection and identification on remote sensed nadir imagery in South African savanna

open access: yesWildlife Biology, EarlyView.
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

Correction: From meat to raw material: the Middle Pleistocene elephant butchery site of Casal Lumbroso (Rome, central Italy). [PDF]

open access: yesPLoS One
Mecozzi B   +16 more
europepmc   +1 more source

Estimating red deer Cervus elaphus population density using drones in a steep and rugged terrain

open access: yesWildlife Biology, EarlyView.
Precise and accurate information about population density, crucial for wildlife management, is difficult to obtain for elusive species living in dense forests or steep and inaccessible terrain. Using unmanned aerial vehicles (UAVs), we developed a method for obtaining absolute population estimates of ungulates living in steep, rugged, and partly ...
Julie Bommerlund   +3 more
wiley   +1 more source

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