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3. Deep learning to extract the meteorological by‐catch of wildlife cameras.

5. Winters are changing

6. Modern Approaches to the Monitoring of Biodiversity (MAMBO).

7. Seasonal and Elevational Variability in Dwarf Birch VOC Emissions in Greenlandic Tundra.

9. Across mountains and ocean: species delimitation and historical connectivity in Holarctic and Arctic-Alpine wolf spiders (Lycosidae, Pardosa).

13. Winters are changing: snow effects on Arctic and alpine tundra ecosystems

17. Accurate detection and identification of insects from camera trap images with deep learning.

18. Volatile responses of dwarf birch to mimicked insect herbivory and experimental warming at two elevations in Greenlandic tundra.

19. A light trap and computer vision system to detect and classify live moths(Lepidoptera) using tracking and deep learning

20. Automatic image‐based identification and biomass estimation of invertebrates

21. Real‐time insect tracking and monitoring with computer vision and deep learning.

23. Strong isolation by distance among local populations of an endangered butterfly species (Euphydryas aurinia).

24. Environmental DNA metabarcoding of cow dung reveals taxonomic and functional diversity of invertebrate assemblages.

25. ArcticWEB - a pan-Arctic network to monitor and model Arctic trophic interactions

26. Multi‐taxon inventory reveals highly consistent biodiversity responses to ecospace variation.

28. Biotic interactions mediate patterns of herbivore diversity in the Arctic

31. Recovery based on plot experiments is a poor predictor of landscape-level population impacts of agricultural pesticides

35. Testing species distribution models across space and time: high latitude butterflies and recent warming