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1. Segmenting objects with Bayesian fusion of active contour models and convnet priors

2. Mammals show faster recovery from capture and tagging in human-disturbed landscapes.

3. CNN Based Flank Predictor for Quadruped Animal Species

4. Neonatal antipredator tactics shape female movement patterns in large herbivores

9. Mammal responses to global changes in human activity vary by trophic group and landscape

12. Classification of Single Tree Decay Stages from Combined Airborne LiDAR Data and CIR Imagery

13. Integrating animal tracking datasets at a continental scale for mapping Eurasian lynx habitat

21. Evaluating expert‐based habitat suitability information of terrestrial mammals with GPS‐tracking data

22. A hybrid convolutional neural network/active contour approach to segmenting dead trees in aerial imagery

23. Reduced human disturbance increases diurnal activity in wolves, but not Eurasian lynx

26. Widespread habitat for Europe's largest herbivores, but poor connectivity limits recolonization

28. Aboveground biomass density models for NASA’s Global Ecosystem Dynamics Investigation (GEDI) lidar mission

29. Instance segmentation of fallen trees in aerial color infrared imagery using active multi-contour evolution with fully convolutional network-based intensity priors

36. Effects of heterogeneity on the ecological diversity and redundancy of forest fauna

39. Prerequisites for coexistence: human pressure and refuge habitat availability shape continental-scale habitat use patterns of a large carnivore

44. Functional traits driving species role in the structure of terrestrial vertebrate scavenger networks

48. A bottom-up practitioner-derived set of Essential Variables for Protected Area management

49. Monitoring forest cover and land use change in the Congo Basin under IPCC climate change scenarios.

50. Genetic admixture between Central European and Alpine wolf populations.

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