A. Wilting

Addressing the Southeast Asian snaring crisis: impact of 11 years of snare removal in a biodiversity hotspot

This study evaluates the impact of 11 years of snare removal in two Vietnamese protected areas, finding significant but incomplete reductions in snare occupancy and highlighting the need for a multifaceted approach to combat snaring.

Global disparity of research allocation and the Aichi biodiversity conservation targets

The paper assesses global research allocation on biodiversity, showing it often misses key conservation areas and is driven by country income, biome, mammal richness, and accessibility.

imageseg: an R package for deep learning-based image segmentation

The paper introduces an R package for deep learning-based image segmentation, demonstrating its utility in ecological applications with high accuracy models for forest structure.

Capturing biodiversity complexities while accounting for imperfect detection: the application of occupancy-based diversity profiles.

This paper develops an occupancy-based diversity profile framework to account for imperfect detection in biodiversity studies and applies it to bird communities.

Identifying conservation priorities in a defaunated tropical biodiversity hotspot

The paper identifies conservation priorities in defaunated tropical areas by analyzing species responses to environmental and anthropogenic factors using camera-trapping and environmental DNA.

Habitat-Net: Segmentation of habitat images using deep learning

Habitat-Net segments tropical rainforest habitat images using deep learning, achieving higher accuracy and faster processing than manual methods and U-Net.

Shifting up a gear with iDNA: from mammal detection events to standardized surveys

The paper compares iDNA and camera-trap surveys to assess mammal occupancy in tropical rainforests, finding consistent results and suggesting iDNA as a viable complementary method.