Results 181 to 190 of about 1,949,723 (284)
We developed PZM‐YOLO to automatically detect plateau zokor mounds in UAV imagery of alpine meadows. The model achieved reliable detection of small and densely distributed mounds under complex backgrounds, outperforming the baseline YOLOv5s. This framework supports mound counting, mound position, rodent impact assessment, and grassland restoration ...
Yang Yang +5 more
wiley +1 more source
Habitat suitability model for identifying human-wildlife interface and implications for wildlife trade of Sunda pangolin in Borneo. [PDF]
Gomez CR +19 more
europepmc +1 more source
Evaluating the reliability of media reports for gathering information about illegal wildlife trade seizures. [PDF]
Paudel K +3 more
europepmc +1 more source
Passive Acoustic Identification of Social Groups in the Hainan Gibbon
Passive acoustic monitoring offers a non‐invasive means of assessing visually hard‐to‐survey wildlife species with distinctive vocalizations. We evaluated whether deep learning can identify Hainan gibbon (Nomascus hainanus) social groups from their calls.
Emmanuel Kabuga +14 more
wiley +1 more source
Weak compliance with Nigeria's wildlife trade ban imposed to curb mpox spillovers. [PDF]
Emogor CA +6 more
europepmc +1 more source
Gaps in global wildlife trade monitoring leave amphibians vulnerable. [PDF]
Hughes AC, Marshall BM, Strine CT.
europepmc +1 more source
We propose a set of paradigms (survey design, tip and cue, validation, consilience, interpolation and extrapolation, and data fusion) and prioritize a set of principles (metadata standards, use rights and licensing, scientific rigor, and utility) as the foundations of an actionable framework for nature technology data integration. We then analyze seven
Seamus Lombardo +19 more
wiley +1 more source
Guidelines for addressing disease risks in wildlife trade. [PDF]
Karesh WB +6 more
europepmc +1 more source
Extend existing food safety systems to the global wildlife trade. [PDF]
Biggs D +4 more
europepmc +1 more source
Camera trap occupancy studies often rely on simple rules of thumb that assume constant occupancy and detection across sites. Using simulations, we show that accurate occupancy estimates require 10–40 sites with no spatial variation, 20–120 with simple variation and 40–600 with complex spatial structures.
Pradeep Raj Joshi +4 more
wiley +1 more source

