Remote Sensing in Ecology and Conservation, EarlyView.This study proposes an automated method to infer brown bear hair snare interactions by detecting bipedal behavior in camera‐trap images using a pose estimation model and a multilayer perceptron (MLP). A YOLO‐based model, fine‐tuned from humans and dogs to a custom dataset, achieved high performance (≈93% keypoint precision and ≈96% classification ...
Arnau Campanera‐Moliné +8 more
wiley +1 more source
Wolf Population Size and Composition in One of Europe's Strongholds, the Romanian Carpathians
Ecology and EvolutionStrategies of coexistence with large carnivores should integrate scientific evidence, population monitoring providing an opportunity for advancing outdated management paradigms.
Ruben Iosif +6 more
doaj +1 more source
Precision and bias of spatial capture-recapture estimates: A multi-site, multi-year Utah black bear case study. [PDF]
Ecol Appl, 2022 Schmidt GM +3 more
europepmc +1 more source
Remote Sensing in Ecology and Conservation, EarlyView.This study demonstrates that the mobile laser scanning (MLS) sampling density required to reliably characterise vegetation structure increases with a site's structural complexity. Applying a five‐level acquisition framework across open woodland, closed forest and sub‐alpine woodland ecosystems, we found that longer scanning paths increased the ...
Johann Tiede +3 more
wiley +1 more source
Remote Sensing in Ecology and Conservation, EarlyView.Camera traps are emerging as a useful tool for noninvasive insect monitoring; however, it remains unclear how to lure diurnal insects to traps, how to detect them upon arrival, and how camera‐based methods compare to conventional sampling. We developed a low‐cost, open‐source camera trap to monitor wild bumble bees in agricultural fields. We found that
Michael P. Getz +4 more
wiley +1 more source
Estimating red fox density using non-invasive genetic sampling and spatial capture-recapture modelling. [PDF]
Oecologia, 2022 Lindsø LK +7 more
europepmc +1 more source
Citizen Science for Individual Identification of Pine Martens Martes martes From Camera Trap Footage
Remote Sensing in Ecology and Conservation, EarlyView.Camera traps generate large volumes of wildlife footage, but identifying animals to the individual level remains challenging and time‐consuming. Using European pine martens in the Forest of Dean as a case study, we assessed whether citizen scientists could identify individuals from camera trap photos and videos.
Sian E. Green +4 more
wiley +1 more source
Does the punishment fit the crime? Consequences and diagnosis of misspecified detection functions in Bayesian spatial capture-recapture modeling. [PDF]
Ecol Evol, 2022 Dey S +3 more
europepmc +1 more source
Remote Sensing in Ecology and Conservation, EarlyView.Drones and computer vision offer an efficient way to estimate animal populations over localized areas, but surveys often require stitching many overlapping images together. If animals move during the survey, traditional orthomosaic‐based counting methods become unreliable, with some animals appearing in multiple locations while others appear not at all,
Benjamin Koger +5 more
wiley +1 more source
Density and population size estimates of the endangered northern yellow-cheeked crested gibbon Nomascus annamensis in selectively logged Veun Sai-Siem Pang National Park in Cambodia using acoustic spatial capture-recapture methods. [PDF]
PLoS One, 2023 McGrath SJ +3 more
europepmc +1 more source