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3. Removal rate constants are not necessarily constant: the case of organic micropollutant removal in wastewater treatment plants

5. Integrating local context in global biodiversity assessments

6. Global maps of agricultural expansion potential at a 300 m resolution

9. Threats of land use to the global diversity of vascular plants

11. Prioritizing the reassessment of data deficient species on the IUCN Red List

12. Assessing ambitious nature conservation strategies in a below 2 degrees warmer and food-secure world – supplementary spatial data

15. Bridging the research-implementation gap in IUCN Red List assessments

18. Time-lagged effects of habitat fragmentation on terrestrial mammals in Madagascar

19. FutureStreams, a global dataset of future streamflow and water temperature

20. Evaluating expert-based habitat suitability information of terrestrial mammals with GPS-tracking data

21. Experiences with team-based learning in an introductory bachelor course on sustainability

23. Long-term changes in temperate marine fish assemblages are driven by a small subset of species

30. Identifying regional drivers of future land-based biodiversity footprints

32. Threats of global warming to the world’s freshwater fishes

33. Advancing Global Assessments of Freshwater Systems

34. Disentangling drivers of spatial autocorrelation in species distribution models

36. Combined effects of land use and hunting on distributions of tropical mammals

38. Bending the curve of terrestrial biodiversity needs an integrated strategy

39. Temperature-related biodiversity change across temperate marine and terrestrial systems

43. Global trends in biodiversity and ecosystem services from 1900 to 2050

44. Future projections of biodiversity and ecosystem services in Europe with two integrated assessment models

46. Applying habitat and population-density models to land-cover time series to inform IUCN Red List assessments

48. Evaluating the ecological realism of plant species distribution models with ecological indicator values

49. Reducing uncertainty and redundancy in environmental footprinting

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