Results 151 to 160 of about 50,302 (265)

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

A field boundary dataset for the canadian prairies derived from sentinel-2 imagery using the segment anything model. [PDF]

Data Brief
Ha T, Nketia KA, Neudorf S, Shirtliffe SJ.   +3 more
europepmc   +1 more source

Nests in trees are as good as or better than cliffs for two formerly persecuted, primarily cliff nesting eagles in Spain: a cautionary tale in defining the habitat of range‐restricted or threatened species

Wildlife Biology, EarlyView.
In the late‐20th century, golden and Bonelli's eagles suffered population declines on the Iberian Peninsula, partly due to human persecution. Habitat assessments – especially for Bonelli's eagles – always found or assumed strong associations with cliffs that provided nesting sites.
Ryan Baumbusch, Jesus Bautista, Jose Rafael Garrido, Ian Newton, Miguel Ferrer, Virginia Morandini   +5 more
wiley   +1 more source

Geospatial modelling for zoonotic disease hotspot identification within a One Health framework: a systematic review. [PDF]

One Health Outlook
Nyengere J, Mbewe W, Malalu L, Tholo H, Njala AL, Sembo T, Kumpolota SW, Mvula RL, Chisenga C, Kanyika-Mbewe C, Maluwa A, Eregno FE.   +11 more
europepmc   +1 more source

Changes of Potential Suitable Areas for Lynx Under Climate Change in Mohe Area, Daxing'anling Mountains, China 气候变化下中国大兴安岭漠河地区猞猁潜在适宜区的变化

Wildlife Letters, EarlyView.
Climate change drives shifts in suitable habitats for Eurasian lynx and its prey (hare, roe deer) in Mohe, Daxing'anling Mountains. Under RCP scenarios, moderate warming (RCP4.5) promotes substantial habitat expansion, while high‐emission conditions (RCP8.5) lead to strong expansion in the 2050s but slower gains and partial contraction by the 2070s ...
Binglian Liu, Dan Ju, Hong Chen, Qi Qi, Geng Liu, Shaochun Zhou   +5 more
wiley   +1 more source

Streamlining counterfactual ecosystem restoration and conservation impact evaluation in R with the spatialBACI package. [PDF]

Biodivers Data J
Van Doninck J, Bijker W, Willemen L.
europepmc   +1 more source

Spatiotemporal mapping the usable space of free‐roaming equids across the western United States

Wildlife Society Bulletin, EarlyView.
Identification of the inter‐decadal (2010‐2011) enhancement‐degradation gradients in the usable space for wild equid Herd Management Areas in the Great Basin, USA. Abstract Management of feral equids in the American West is hindered by the lack of a formal habitat map and monitoring system.
Alexander Hernandez, Eric Thacker, Kaden Patten, David Stoner   +3 more
wiley   +1 more source

Vision for Exposomics-Scale Investigation: A Heuristic for Exposure-Wide Association Studies (ExWAS). [PDF]

Environ Sci Technol
Patel CJ, Miller GW, Motsinger-Reif AA.
europepmc   +1 more source

Lures do not increase box‐trapping success of an endangered felid in South Texas

Wildlife Society Bulletin, EarlyView.
We used a randomized design and linear regression to assess whether visual (compact disc [CD] and ribbon), and olfactory (musk and ocelot urine) lures would increase capture success of three mesocarnivores (ocelots [Leopardus pardalis], bobcats [Lynx rufus], and coyotes [Canis latrans]) with box traps baited with a live bird from December 2023 to April
Ashley M. Reeves, Landon R. Schofield, Alynn M. Martin, Aidan B. Branney, Lindsay A. Martinez, Georgia Harris, Meghan Murphy, Jason E. Sawyer   +7 more
wiley   +1 more source

Recent Advancements in Digital Management and Monitoring of Mine Waste: Sensors, Characterization, and Predictive Modeling-A Review. [PDF]

Sensors (Basel)
Li T, Desta F, Buxton M.
europepmc   +1 more source