1. Johnson, C. N. et al. Biodiversity losses and conservation responses in the Anthropocene. Science 356, 270–275 (2017).

2. Steffen, W. et al. Planetary boundaries: guiding human development on a changing planet. Science 347, 1259855 (2015).

3. Cardinale, B. J. et al. Biodiversity loss and its impact on humanity. Nature 486, 59–67 (2012).

4. Ceballos, G., Ehrlich, P. R. & Dirzo, R. Biological annihilation via the ongoing sixth mass extinction signaled by vertebrate population losses and declines. Proc. Natl Acad. Sci. USA 114, E6089–E6096 (2017).

5. Watson, J. E. M. et al. Persistent disparities between recent rates of habitat conversion and protection and implications for future global conservation targets. Conserv. Lett. 9, 413–421 (2016).

6. Venter, O. et al. Sixteen years of change in the global terrestrial human footprint and implications for biodiversity conservation. Nat. Commun. 7, 12558 (2016).

7. Newbold, T. et al. Has land use pushed terrestrial biodiversity beyond the planetary boundary? A global assessment. Science 353, 288–291 (2016).

8. Di Marco, M., Venter, O., Possingham, H. P. & Watson, J. E. M. Changes in human footprint drive changes in species extinction risk. Nat. Commun. 9, 4621 (2018).

9. Mittermeier, R. A. et al. Wilderness and biodiversity conservation. Proc. Natl Acad. Sci. USA 100, 10309–10313 (2003).

10. Watson, J. E. M. et al. Catastrophic declines in wilderness areas undermine global environment targets. Curr. Biol. 26, 2929–2934 (2016).

11. Allan, J. R., Venter, O. & Watson, J. E. M. Temporally inter-comparable maps of terrestrial wilderness and the last of the wild. Sci. Data 4, 170187 (2017).

12. Watson, J. E. M. et al. Protect the last of the wild. Nature 563, 27–30 (2018).

13. Clark, J. A. & May, R. M. Taxonomic bias in conservation research. Science 297, 191–192 (2002).

14. Di Marco, M. et al. Changing trends and persisting biases in three decades of conservation science. Glob. Ecol. Conserv. 10, 32–42 (2017).

15. Chapman, A. D. Numbers of Living Species in Australia and the World, http://www.environment.gov.au/biodiversity/abrs/publications/other/species-numbers/2009/06-references.html (Report for the Australian Biological Resources Study, Canberra, 2009).

16. Bar-On, Y. M., Phillips, R. & Milo, R. The biomass distribution on Earth. Proc. Natl Acad. Sci. USA 115, 6506–6511 (2018).

17. Hoskins, A. J. et al. Supporting global biodiversity assessment through high-resolution macroecological modelling: methodological underpinnings of the BILBI framework. Preprint at https://www.biorxiv.org/content/10.1101/309377v3 (2019).

18. Ferrier, S., Manion, G., Elith, J. & Richardson, K. Using generalized dissimilarity modelling to analyse and predict patterns of beta diversity in regional biodiversity assessment. Divers. Distrib. 13, 252–264 (2007).

19. Ferrier, S. et al. Mapping more of terrestrial biodiversity for global conservation assessment. Bioscience 54, 1101–1109 (2004).

20. Allnutt, T. F. et al. A method for quantifying biodiversity loss and its application to a 50-year record of deforestation across Madagascar. Conserv. Lett. 1, 173–181 (2008).

21. Di Marco, M. et al. Projecting impacts of global climate and land-use scenarios on plant biodiversity using compositional-turnover modelling. Glob. Chang. Biol. 25, 2763–2778 (2019).

22. Olson, D. M. et al. Terrestrial ecoregions of the world: a new map of life on earth. Bioscience 51, 933–938 (2001).

23. Sodhi, N. S., Koh, L. P., Brook, B. W. & Ng, P. K. L. Southeast Asian biodiversity: an impending disaster. Trends Ecol. Evol. 19, 654–660 (2004).

24. IUCN & UNEP–WCMC. The World Database on Protected Areas (WDPA) version July/2018, www.protectedplanet.net (UNEP–WCMC, Cambridge, 2018).

25. Potapov, P. et al. The last frontiers of wilderness: tracking loss of intact forest landscapes from 2000 to 2013. Sci. Adv. 3, e1600821 (2017).

26. Gorenflo, L. J., Romaine, S., Mittermeier, R. A. & Walker-Painemilla, K. Co-occurrence of linguistic and biological diversity in biodiversity hotspots and high biodiversity wilderness areas. Proc. Natl Acad. Sci. USA 109, 8032–8037 (2012).

27. Pimm, S. L., Jenkins, C. N. & Li, B. V. How to protect half of Earth to ensure it protects sufficient biodiversity. Sci. Adv. 4, eaat2616 (2018).

28. CBD. Strategic Plan for Biodiversity 2011–2020 (CBD, 2010).

29. Mappin, B. et al. Restoration priorities to achieve the global protected area target. Conserv. Lett. 12,e12646 (2019).

30. United Nations General Assembly. Transforming our World: the 2030 Agenda for Sustainable Development, A/RES/70/1 (United Nations General Assembly, 2015).

31. Kim, H. et al. A protocol for an intercomparison of biodiversity and ecosystem services models using harmonized land-use and climate scenarios. Geosci. Model Dev. 11, 4537–4562 (2018).

32. Leclère, D. et al. Towards Pathways Bending the Curve of Terrestrial Biodiversity Trends Within the 21st Century (IIASA, 2018).

33. Ware, C. et al. Improving biodiversity surrogates for conservation assessment: a test of methods and the value of targeted biological surveys. Divers. Distrib. 24, 1333–1346 (2018).

34. Hijmans, R. J., Cameron, S. E., Parra, J. L., Jones, P. G. & Jarvis, A. Very high resolution interpolated climate surfaces for global land areas. Int. J. Climatol. 25, 1965–1978 (2005).

35. Hengl, T. et al. SoilGrids1km—global soil information based on automated mapping. PLoS ONE 9, e105992 (2014).

36. Amatulli, G. et al. A suite of global, cross-scale topographic variables for environmental and biodiversity modeling. Sci. Data 5, 180040 (2018).

37. Ferrier, S., Harwood, T., Williams, K. J. & Dunlop, M. Using Generalised Dissimilarity Modelling to Assess Potential Impacts of Climate Change on Biodiversity Composition in Australia, and on the Representativeness of the National Reserve System (CSIRO Climate Adaption Flagship Working Paper Series 13E) (CSIRO, Canberra, 2012).

38. Hoskins, A. J. et al. Downscaling land-use data to provide global 30′′ estimates of five land-use classes. Ecol. Evol. 6, 3040–3055 (2016).

39. Hurtt, G. C. et al. Harmonization of land-use scenarios for the period 1500–2100: 600 years of global gridded annual land-use transitions, wood harvest, and resulting secondary lands. Clim. Change 109, 117–161 (2011).

40. European Commission Joint Research Centre & Columbia University Center for International Earth Science Information Network. GHS Population Grid, derived from GPW4, Multitemporal (1975, 1990, 2000, 2015), http://data.europa.eu/89h/jrc-ghsl-ghs_pop_gpw4_globe_r2015a (2015).

41. Pesaresi, M. et al. GHS built-up grid, derived from Landsat, multitemporal (1975, 1990, 2000, 2014) https://ec.europa.eu/jrc/en/publication/ghs-built-grid-derived-landsat-multitemporal-1975-1990-2000-2014-ir2017-v10 (2015).

42. DiMiceli, C. M. et al. Annual global automated MODIS vegetation continuous fields (MOD44B) at 250 m spatial resolution for data years beginning day 65, 2000–2010 (2011).

43. Hudson, L. N. et al. The database of the PREDICTS (Projecting Responses of Ecological Diversity In Changing Terrestrial Systems) project. Ecol. Evol. 7, 145–188 (2017).

44. Hill, S. L. L. et al. Worldwide impacts of past and projected future land-use change on local species richness and the Biodiversity Intactness Index. Preprint at https://www.biorxiv.org/content/10.1101/311787v1 (2018).

45. Drielsma, M., Ferrier, S. & Manion, G. A raster-based technique for analysing habitat configuration: the cost-benefit approach. Ecol. Modell. 202, 324–332 (2007).

46. Chaudhary, A. & Mooers, A. Terrestrial vertebrate biodiversity loss under future global land use change scenarios. Sustainability 10, 2764 (2018).

47. Venter, O. et al. Global terrestrial human footprint maps for 1993 and 2009. Sci. Data 3, 160067 (2016).

48. Butchart, S. H. M. et al. Shortfalls and solutions for meeting national and global conservation area targets. Conserv. Lett. 8, 329–337 (2015).

49. Cohen, J. Statistical Power Analysis for the Behavioral Sciences, 2nd ed. (Academic, 1988).

50. GRASS Development Team. Geographic resources analysis support system (GRASS GIS) software, version 7.2, http://grass.osgeo.org (2017).

51. QGIS Development Team. QGIS geographic information system, http://qgis.osgeo.org (2017).