Interpretable trajectory inference with single-cell linear adaptive negative-binomial expression (scLANE) testing. [PDF]
Leary JR, Dong X, Bacher R.
europepmc +1 more source
Are human‐altered landscapes reshaping carnivore niche spaces in the Trans‐Himalaya?
Understanding carnivore interactions under growing human pressures is crucial for conservation. We examined spatial and temporal niche structuring among snow leopards Panthera uncia, Himalayan wolves Canis lupus chanco, and red foxes Vulpes vulpes; while also incorporating free‐ranging dogs Canis lupus familiaris as a human‐subsidized mesopredator ...
Priyanka Justa, Salvador Lyngdoh
wiley +1 more source
A Bayesian zero-inflated spatially varying coefficients model for overdispersed binomial data. [PDF]
Wen CC +7 more
europepmc +1 more source
Micro‐habitat selection by boreal woodland caribou improves access to food
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 +8 more
wiley +1 more source
Public funds, public safety: a scoping review of government spending decisions and their impact on interpersonal violence and suicide. [PDF]
Lund JJ +3 more
europepmc +1 more source
Understanding how prey species tradeoff predation risk and resource acquisition is particularly important for advancing our knowledge of predator–prey relationships. We investigated this by studying the use of concentrated anthropogenic resources, namely supplementary feeding sites, by roe deer Capreolus capreolus before and after grey wolf Canis lupus
Federico Ossi +7 more
wiley +1 more source
m6AConquer: a consistently quantified and orthogonally validated database for the N6-methyladenosine (m6A) epitranscriptome. [PDF]
Zhao X +6 more
europepmc +1 more source
Quantifying microhabitat selection of snowshoe hares using forest metrics from UAS‐based LiDAR
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 +7 more
wiley +1 more source
Estimating red deer Cervus elaphus population density using drones in a steep and rugged terrain
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
Poisson Beta Regression for Count Data With an Application to Hospital Length of Stay Data. [PDF]
Herschtal A.
europepmc +1 more source

