Global forest loss disproportionately erodes biodiversity in intact landscapes

Nature

Volumn 547, Issue 7664, 2017, Pages 441-444

  Betts, Matthew G ^a   Wolf, Christopher ^a   Ripple, William J ^a   Phalan, Ben ^a,b   Millers, Kimberley A ^a   Duarte, Adam ^a   Butchart, Stuart H M ^b,c   Levi, Taal ^a  

^a OREGON STATE UNIVERSITY   (United States)

^b UNIVERSITY OF CAMBRIDGE   (United Kingdom)

^c BIRDLIFE INTERNATIONAL   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

BIODIVERSITY; CONSERVATION PLANNING; DEFORESTATION; EXTINCTION RISK; GLOBAL PERSPECTIVE; HABITAT AVAILABILITY; HABITAT LOSS; HUMAN ACTIVITY; LANDSCAPE ECOLOGY; POPULATION DECLINE; RED LIST; SPATIAL DATA; VERTEBRATE;

ALTERNATIVE HYPOTHESIS; ANIMAL EXPERIMENT; ARTICLE; BIODIVERSITY; BORNEO; CONGO; CONSERVATION BIOLOGY; CONTROLLED STUDY; DATA ANALYSIS; DEFORESTATION; ENVIRONMENTAL FACTOR; FOREST; HABITAT STRUCTURE; LANDSCAPE; LIFE THREAT; NONHUMAN; POPULATION; PRIORITY JOURNAL; RISK ASSESSMENT; RISK FACTOR; SPATIAL ANALYSIS; SPECIES CONSERVATION; SPECIES DIVERSITY; VERTEBRATE; ANIMAL; ENDANGERED SPECIES; ENVIRONMENTAL PROTECTION; HUMAN ACTIVITIES; INTERNATIONAL COOPERATION; PROCEDURES; SPECIES EXTINCTION; TRENDS; WILDERNESS;

AMAZONIA; BORNEO; CONGO BASIN;

VERTEBRATA;

ANIMALS; BIODIVERSITY; CONSERVATION OF NATURAL RESOURCES; ENDANGERED SPECIES; EXTINCTION, BIOLOGICAL; FORESTS; HUMAN ACTIVITIES; INTERNATIONALITY; WILDERNESS;

EID: 85026405160     PISSN: 00280836     EISSN: 14764687     Source Type: Journal    
DOI: 10.1038/nature23285     Document Type: Article

References (66)

1. Joppa, L. N. et al. Filling in biodiversity threat gaps. Science 352, 416-418 (2016).
2. Newbold, T. et al. Has land use pushed terrestrial biodiversity beyond the planetary boundary? A global assessment. Science 353, 288-291 (2016).
3. Andrén, H. Effects of habitat fragmentation of birds and mammals in landscapes with different proportions of suitable habitat: a review. Oikos 71, 355-366 (1994).
4. Betts, M. G., Forbes, G. J. & Diamond, A. W. Thresholds in songbird occurrence in relation to landscape structure. Conserv. Biol. 21, 1046-1058 (2007).
5. Barlow, J. et al. Anthropogenic disturbance in tropical forests can double biodiversity loss from deforestation. Nature 535, 144-147 (2016).
6. Hansen, M. C. et al. High-resolution global maps of 21st-century forest cover change. Science 342, 850-853 (2013).
7. Peres, C. A. Why we need megareserves in Amazonia. Conserv. Biol. 19, 728-733 (2005).
8. Gibson, L. et al. Primary forests are irreplaceable for sustaining tropical biodiversity. Nature 478, 378-381 (2011).
9. Brooks, T. M. et al. Global biodiversity conservation priorities. Science 313, 58-61 (2006).
10. Kareiva, P., Watts, S., McDonald, R. & Boucher, T. Domesticated nature: shaping landscapes and ecosystems for human welfare. Science 316, 1866-1869 (2007).
11. Mendenhall, C. D., Karp, D. S., Meyer, C. F., Hadly, E. A. & Daily, G. C. Predicting biodiversity change and averting collapse in agricultural landscapes. Nature 509, 213-217 (2014).
12. Fahrig, L. When does fragmentation of breeding habitat affect population survival? Ecol. Modell. 105, 273-292 (1998).
13. Phalan, B., Onial, M., Balmford, A. & Green, R. E. Reconciling food production and biodiversity conservation: land sharing and land sparing compared. Science 333, 1289-1291 (2011).
14. Wilson, E. O. Half-Earth: Our Planet's Fight For Life. (W. W. Norton & Company, 2016).
15. International Union for Conservation of Nature World Congress. Motion 48: Protection of primary forests, including intact forest landscapes. (2016).
16. Tracewski, L. et al. Toward quantification of the impact of 21st-century deforestation on the extinction risk of terrestrial vertebrates. Conserv. Biol. 30, 1070-1079 (2016).
17. International Union for Conservation of Nature. IUCN red list of threatened species. Version 2016. 3 http://www. iucnredlist. org (2017).
18. BirdLife International and NatureServe. Bird Species Distribution Maps of the World Version 5. 0 (BirdLife International, 2015).
19. Kim, D.-H. et al. Global, Landsat-based forest-cover change from 1990 to 2000. Remote Sens. Environ. 155, 178-193 (2014).
20. Tilman, D., May, R. M., Lehman, C. L. & Nowak, M. A. Habitat destruction and the extinction debt. Nature 371, 65-66 (1994).
21. Wearn, O. R., Reuman, D. C. & Ewers, R. M. Extinction debt and windows of conservation opportunity in the Brazilian Amazon. Science 337, 228-232 (2012).
22. Sanderson, E. W. et al. The human footprint and the last of the wild. Bioscience 52, 891-904 (2002).
23. Hanski, I. Metapopulation dynamics. Nature 396, 41-49 (1998).
24. Brooks, T. M. et al. Habitat loss and extinction in the hotspots of biodiversity. Conserv. Biol. 16, 909-923 (2002).
25. Balmford, A. Extinction filters and current resilience: the significance of past selection pressures for conservation biology. Trends Ecol. Evol. 11, 193-196 (1996).
26. Ripple, W. J. et al. Bushmeat hunting and extinction risk to the world's mammals. R. Soc. Open Sci. 3, 160498 (2016).
27. Benítez-López, A. et al. The impact of hunting on tropical mammal and bird populations. Science 356, 180-183 (2017).
28. Bellard, C., Genovesi, P. & Jeschke, J. M. Global patterns in threats to vertebrates by biological invasions. Proc. R. Soc. Lond. B 283, 20152454 (2016).
29. Clavel, J., Julliar, R. & Devictor, V. Worldwide decline of specialist species: toward a global functional homogenization. Front. Ecol. Environ. 9, 222-228 (2011).
30. Betts, M. G. et al. A species-centered approach for uncovering generalities in organism responses to habitat loss and fragmentation. Ecography 37, 517-527 (2014).
31. Potapov, P. et al. The last frontiers of wilderness: tracking loss of intact forest landscapes from 2000 to 2013. Sci. Adv. 3, e1600821 (2017).
32. Potapov, P. et al. Mapping the world's intact forest landscapes by remote sensing. Ecol. Soc. 13, 51 (2008).
33. Olson, D. M. et al. Terrestrial ecoregions of the world: a new map of life on Earth: a new global map of terrestrial ecoregions provides an innovative tool for conserving biodiversity. Bioscience 51, 933-938 (2001).
34. IUCN and UNEP-WCMC. The World Database on Protected Areas (WDPA) http://www. protectedplanet. net/terms (2015).
35. Butchart, S. H. et al. Improvements to the red list index. PLoS ONE 2, e140 (2007).
36. Butchart, S. H. et al. Measuring global trends in the status of biodiversity: red list indices for birds. PLoS Biol. 2, e383 (2004).
37. Hoffmann, M. et al. The changing fates of the world's mammals. Phil. Trans. R. Soc. Lond. B 366, 2598-2610 (2011).
38. BirdLife International. IUCN Red List for birds. http://www. birdlife. org (2017).
39. Böhm, M. et al. The conservation status of the world's reptiles. Biol. Conserv. 157, 372-385 (2013).
40. Wildlife Conservation Society and Center for International Earth Science Information Network, Columbia University. Last of the Wild, v2: Global Human Footprint Dataset (Geographic). http://dx. doi. org/10. 7927/H4M61H5F (2005).
41. Venter, O. et al. Sixteen years of change in the global terrestrial human footprint and implications for biodiversity conservation. Nat. Commun. 7, 12558 (2016).
42. Venter, O. et al. Data from: Global terrestrial Human Footprint maps for 1993 and 2009. http://dx. doi. org/10. 5061/dryad. 052q5 (2016).
43. ESRI. ArcGIS Desktop: Release 10. 1 (Environmental Systems Research Institute, 2012).
44. R Core Team. R: A Language and Environment for Statistical Computing. http://www. R-project. org/ (2013).
45. Seligman, M. Rborist: extensible, parallelizable implementation of the random forest algorithm. https://cran. r-project. org/web/packages/Rborist/index. html (2015).
46. Hurlbert, A. H. & Jetz, W. Species richness, hotspots, and the scale dependence of range maps in ecology and conservation. Proc. Natl Acad. Sci. USA 104, 13384-13389 (2007).
47. Augustin, N. H., Mugglestone, M. A. & Buckland, S. T. An autologistic model for the spatial distribution of wildlife. J. Appl. Ecol. 33, 339-347 (1996).
48. Dormann, C. F. Assessing the validity of autologistic regression. Ecol. Modell. 207, 234-242 (2007).
49. Bivand, R. et al. spdep: spatial dependence: weighting schemes, statistics and models. https://cran. r-project. org/web/packages/spdep/index. html (2017).
50. Pike, N. Using false discovery rates for multiple comparisons in ecology and evolution. Methods Ecol. Evol. 2, 278-282 (2011).
51. Benjamini, Y. & Hochberg, Y. Controlling the false discovery rate: a practical and powerful approach to multiple testing. J. R. Stat. Soc. B 57, 289-300 (1995).
52. Swets, J. A. Signal Detection Theory and ROC Analysis in Psychology and Diagnostics: Collected Papers (Psychology Press, 2014).
53. United Nations. United Nations Statistics Division. Standard Country and Area Codes Classifications (M49). http://unstats. un. org/unsd/methods/m49/ m49regin. htm (2013).
54. Bahn, V. & McGill, B. J. Testing the predictive performance of distribution models. Oikos 122, 321-331 (2013).
55. Gilleland, M. E. verification: weather forecast verification utilities. https:// cran. r-project. org/web/packages/verification/index. html (2015).
56. Dray, S., Legendre, P. & Peres-Neto, P. R. Spatial modelling: a comprehensive framework for principal coordinate analysis of neighbour matrices (PCNM). Ecol. Modell. 196, 483-493 (2006).
57. Lee, D. CARBayes: an R package for Bayesian spatial modelling with conditional autoregressive priors. J. Stat. Softw. 55, 13 (2013).
58. McMillen, D. McSpatial: nonparametric spatial data analysis. https:// cran. r-project. org/web/packages/McSpatial/index. html (2013).
59. Klier, T. & McMillen, D. P. Clustering of auto supplier plants in the United States. J. Bus. Econ. Stat. 26, 460-471 (2012).
60. Cardillo, M. et al. Multiple causes of high extinction risk in large mammal species. Science 309, 1239-1241 (2005).
61. Bates, D. M. lme4: Mixed-effects modeling with R. http://lme4. r-forge. r-project. org/book (2010).
62. Ives, A. R. & Garland, T. Jr. Phylogenetic logistic regression for binary dependent variables. Syst. Biol. 59, 9-26 (2010).
63. Petersen, R. et al. Mapping Tree Plantations with Multispectral Imagery: Preliminary Results for Seven Tropical Countries. (World Resources Institute, 2016).
64. MacDicken, K. G. Global Forest Resources Assessment 2015: what, why and how? For. Ecol. Manage. 352, 3-8 (2015).
65. Giam, X. et al. Reservoirs of richness: least disturbed tropical forests are centres of undescribed species diversity. Proc. R. Soc. Lond. B 279, 67-76 (2012).
66. 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).