Results 191 to 200 of about 181,377 (255)

Benefit or ecological trap? Monitoring the effects of small clear‐cuts on capercaillie Tetrao urogallus and its mammalian predators

Wildlife Biology, EarlyView.
The shift to ‘close to nature forestry' as the dominating forestry regime in western‐European forests has resulted in increasing timber volume and denser forests with negative effects on photophilic species. Hence, there is an increasing focus on active habitat management measures to support these species.
Maria Kochs, Joy Coppes, Tanja Beutel, Gabriel Holz, Jim‐Lino Kämmerle, Michael Kraft, Veronika Braunisch   +6 more
wiley   +1 more source

Seasonal variations and challenges in estimating populations and identifying species of Korean ungulates using drone‐derived thermal orthomosaic maps

Wildlife Biology, EarlyView.
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

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

Wildlife 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, Brian Smith, Erica Stuber, Shawn Espinosa, David Dahlgren   +4 more
wiley   +1 more source

Assessing the utility of autonomous recording units and spring point counts for monitoring abundance of ruffed grouse Bonasa umbellus

Wildlife Biology, EarlyView.
The ruffed grouse Bonasa umbellus is a species of conservation concern that has declined across most of its range. At the southeastern trailing edge of the range in Georgia, grouse are restricted to elevations 600 m a.s.l. and abundance is relatively low.
Clayton D. Delancey, William B. Lewis, Gregory T. Wann, Richard B. Chandler, Emily Rushton, James A. Martin   +5 more
wiley   +1 more source

Evaluating Environmental and Crop Factors Affecting Drone-Mounted GPR Performance in Agricultural Fields. [PDF]

Sensors (Basel)
Vahidi M, Shafian S.
europepmc   +1 more source

Monitoring wildlife using long‐endurance solar‐electric UAVs

Wildlife Biology, EarlyView.
This report discusses the effectiveness of using small solar‐electric UAV (uncrewed aerial vehicles) for aerial wildlife monitoring. We review four years of aerial wildlife monitoring missions using a 5.5‐m wingspan, solar‐electric UAV that was equipped with a gimballed IR/RGB camera.
Götz Bramesfeld, William Bissonnette, Maya Rahaman‐Noronha, Kanwar Johal   +3 more
wiley   +1 more source

Optimizing Forest Aboveground Biomass Models with Multi-Parameter Integration. [PDF]

Sensors (Basel)
Liu X, Zhao Y.
europepmc   +1 more source

Micro‐habitat selection by boreal woodland caribou improves access to food

Wildlife Biology, EarlyView.
Bio‐logging sensors attached to radiotelemetry receivers have great potential to transform our understanding of the ecological, physiological, and energetic constraints that shape patterns of wildlife movement under field conditions. We used video camera collars to assess microhabitat selectivity by woodland caribou Rangifer tarandus in boreal forests ...
Ian D. Thompson, Philip A. Wiebe, Arthur R. Rodgers, Douglas Reid, James A. Baker, Brent R. Patterson, Eric McNeill, Romain Dejeante, John M. Fryxell   +8 more
wiley   +1 more source

Responses of African Savanna Trees to Large Herbivore Extinction and Rewilding. [PDF]

Ecol Lett
Coverdale TC, Sankaran M, Davies AB, Ratnam J, Wigley BJ, Augustine DJ.   +5 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

Wildlife 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, Fadel Seydou, Radloff Frans, Andrew Davies, Alison Leslie   +4 more
wiley   +1 more source