Results 131 to 140 of about 390,436 (361)

A comparison of thermal drones and camera trap population estimates for Sitka black‐tailed deer in Alaska

open access: yesWildlife Biology, EarlyView.
One of the most difficult challenges for wildlife managers is reliably estimating wildlife populations. Camera traps combined with spatial capture–recapture (SCR) models are a popular tool for population estimation. They have limitations, however, including long data processing times.
Shannon P. Finnegan   +5 more
wiley   +1 more source

Multi-functional copper oxide nanoparticles synthesized using Lagerstroemia indica leaf extracts and their applications

open access: yesHeliyon
Developing multifunctional nanomaterials through environmentally friendly and efficient approaches is a pivotal focus in nanotechnology. This study aimed to employ a biogenic method to synthesize multifunctional copper oxide nanoparticles (LI-CuO NPs ...
Addisie Geremew   +5 more
doaj   +1 more source

A high‐altitude thermal infrared method for estimating moose abundance and demography in Rocky Mountain National Park, USA

open access: yesWildlife Biology, EarlyView.
Resource managers require accurate estimates of large herbivore abundance and demography to maintain ecological integrity. Common methods to count these species, including observations from low altitude helicopter flights, may conflict with other protected area management objectives and struggle to produce precise estimates for more cryptic species. To
Hanem G. Abouelezz, N. Thompson Hobbs
wiley   +1 more source

Citizen science project on urban canids provides different results from camera traps but generates interest and revenue

open access: yesWildlife Biology, EarlyView.
As urbanization increases, wildlife increasingly encounters people. Coyotes Canis latrans and red foxes Vulpes vulpes are two canid species that have readily adapted to urban environments. Citizen science has emerged as a low‐cost method of collecting data on urban‐adapted species that can benefit management agencies but may provide different results ...
Neville F. Taraporevala   +2 more
wiley   +1 more source

An ML-Based Approach to Leveraging Social Media for Disaster Type Classification and Analysis Across World Regions

open access: yesComputers
Over the past decade, the frequency and impact of both natural and human-induced disasters have increased significantly, highlighting the urgent need for effective and timely relief operations. Disaster response requires efficient allocation of resources
Mohammad Robel Miah   +4 more
doaj   +1 more source

Dusky grouse seasonal resource selection in the Great Basin isolated mountain ranges of Nevada, USA

open access: yesWildlife Biology, EarlyView.
Dusky grouse Dendragapus obscurus are a montane forest grouse species with a paucity of information regarding their temporal and spatial resource use during critical times of high mortality and reproductive output. This lack of vital data may leave dusky grouse at risk of sub‐optimal management in many areas of their distribution, especially in the ...
Stephanie Landry   +4 more
wiley   +1 more source

A Scalable Hydrology-Informed Monitoring System for Early Detection of Slope Failures Using IoT and ML

open access: yesIEEE Access
Landslides pose significant risks to infrastructure, the environment, and human life, particularly when triggered by intense or prolonged rainfall. Accurate and timely prediction of slope failures remains challenging due to the complex interactions ...
Mehnaz Hossain Antora   +4 more
doaj   +1 more source

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