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2. Boom-bust population dynamics drive rapid genetic change

3. Extreme drought impacts have been underestimated in grasslands and shrublands globally

4. slimr: An R package for tailor‐made integrations of data in population genomic simulations over space and time.

6. Impact of 2019–2020 mega-fires on Australian fauna habitat

12. Predicting predator–prey interactions in terrestrial endotherms using random forest.

13. Grazing and ecosystem service delivery in global drylands

22. Figure S1 from Top-down response to spatial variation in productivity and bottom-up response to temporal variation in productivity in a long-term study of desert ants

23. Table S1 from Top-down response to spatial variation in productivity and bottom-up response to temporal variation in productivity in a long-term study of desert ants

32. Appendix Tables and Figures from Assessing the potential for intraguild predation among taxonomically disparate micro-carnivores: marsupials and arthropods

33. Taxonomic status of the Australian dingo: the case for Canis dingo Meyer, 1793

34. Animal movements in fire‐prone landscapes

36. Simultaneously operating threats cannot predict extinction risk.

39. Biodiversity responds to increasing climatic extremes in a biome-specific manner

44. Top predators constrain mesopredator distributions

47. The role of ecological interactions: how intrinsic and extrinsic factors shape the spatio-temporal dynamics of populations

48. Animal movements in fire‐prone landscapes.

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