Results 191 to 200 of about 125,509 (280)

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

Natives Against Invaders: Shared Use of Space and Temporal Segregation of Clouded Tiger-Cats (<i>Leopardus pardinoides</i>) and Domestic Dogs (<i>Canis familiaris</i>) in an Isolated Protected Area. [PDF]

Ecol Evol
Cepeda-Duque JC, López-Barrera AM, Arango-Correa E, Hernández-Fitzgerald JF, López-Velasco V, Fox-Rosales LA, de Oliveira TG.   +6 more
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

From plots to commercial fields: scalable, transferable cotton morphology and productivity estimation using functional growth proxies from UAV and PlanetScope time series. [PDF]

Plant Phenomics
Devoto F, Bange M, Camino C, Woodgate W, Chapman S, Potgieter A.   +5 more
europepmc   +1 more source

Quantifying microhabitat selection of snowshoe hares using forest metrics from UAS‐based LiDAR

Wildlife Biology, EarlyView.
Identifying the spatial and temporal scale at which animals select resources is critical for predicting how populations respond to changes in the environment. The spatial distribution of fine‐scale resources (e.g. patches of dense vegetation) are often linked with critical life‐history requirements such as denning and feeding sites.
Alexej P. K. Sirén, Franklin Sullivan, Rachel Cliché, Jeremy Goetz, Leighlan S. Prout, Jillian Kilborn, Katelyn Courtot, Michael Palace   +7 more
wiley   +1 more source

A Global Dataset of Alpine Treeline Elevational Transects. [PDF]

Sci Data
Wei C, Wilson AM.
europepmc   +1 more source

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

Wildlife 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, Torbjørn Ergon, Simon Filhol, Atle Mysterud   +3 more
wiley   +1 more source

Improving forest aboveground carbon storage estimation by fusing spaceborne LiDAR features and three-dimensional enhanced spectral indices. [PDF]

iScience
Long Y, Sun H, Wang B, Jiang F.
europepmc   +1 more source

Experimental assessment of large mammal population estimates from airborne thermal videography

Wildlife Biology, EarlyView.
Wildlife resource management requires reliable, fast, and affordable methods of surveying wildlife populations to develop and adaptively adjust policies. Thermal video from drones can yield high rates of detection over large areas with relative speed and safety.
Julia S. McElhinny, Gregory D. Larsen, Maxwell Messinger, Chad H. Newbolt, Andrew Whitworth, Stephen S. Ditchkoff, Miles R. Silman, Jared T. Beaver   +7 more
wiley   +1 more source

Using Metabarcoding Techniques to Map Multiple Dung Beetle-Vertebrate iDNA Networks in a Southeast Asian Forest. [PDF]

Mol Ecol Resour
Ong XR, Drinkwater R, Cheong SKS, Loh RK, Kim HL, Dos Santos AL, Puniamoorthy N, Slade EM.   +7 more
europepmc   +1 more source