Author Correction: Strategic approaches to restoring ecosystems can triple conservation gains and halve costs (Nature Ecology & Evolution, (2019), 3, 1, (62-70), 10.1038/s41559-018-0743-8);Strategic approaches to restoring ecosystems can triple conservation gains and halve costs

Nature Ecology and Evolution

Volumn 3, Issue 1, 2019, Pages 62-70

  Strassburg, Bernardo B N ^a,b,c   Beyer, Hawthorne L ^d   Crouzeilles, Renato ^a,b,c   Iribarrem, Alvaro ^a,b   Barros, Felipe ^b   de Siqueira, Marinez Ferreira ^e   Sánchez Tapia, Andrea ^e   Balmford, Andrew ^f   Sansevero, Jerônimo Boelsums Barreto ^g   Brancalion, Pedro Henrique Santin ^h   Broadbent, Eben North ⁱ   Chazdon, Robin L ^b,j,k   Filho, Ary Oliveira ^l   Gardner, Toby A ^b,m   Gordon, Ascelin ⁿ   Latawiec, Agnieszka ^a,b,o,p   Loyola, Rafael ^q   Metzger, Jean Paul ^h   Mills, Morena ^r   Possingham, Hugh P ^d,s   Rodrigues, Ricardo Ribeiro ^h   Scaramuzza, Carlos Alberto de Mattos ^t   Scarano, Fabio Rubio ^c,u   Tambosi, Leandro ^v   Uriarte, Maria ^w   more..

^a PONTIFICAL CATHOLIC UNIVERSITY OF RIO DE JANEIRO   (Brazil)

^b INTERNATIONAL INSTITUTE FOR SUSTAINABILITY   (Brazil)

^c FEDERAL UNIVERSITY OF RIO DE JANEIRO   (Brazil)

^d UNIVERSITY OF QUEENSLAND   (Australia)

^e Botanical Garden of Rio de Janeiro   (Brazil)

^f UNIVERSITY OF CAMBRIDGE   (United Kingdom)

^g FEDERAL RURAL UNIVERSITY OF RIO DE JANEIRO   (Brazil)

^h UNIVERSITY OF SÃO PAULO   (Brazil)

ⁱ UNIVERSITY OF FLORIDA   (United States)

^j UNIVERSITY OF CONNECTICUT   (United States)

^k WORLD RESOURCES INSTITUTE   (United States)

^l FEDERAL UNIVERSITY OF MINAS GERAIS   (Brazil)

^m STOCKHOLM ENVIRONMENT INSTITUTE   (Sweden)

ⁿ RMIT UNIVERSITY   (Australia)

^o UNIVERSITY OF AGRICULTURE IN KRAKOW   (Poland)

^p UNIVERSITY OF EAST ANGLIA   (United Kingdom)

^q FEDERAL UNIVERSITY OF GOIÁS   (Brazil)

^r IMPERIAL COLLEGE LONDON   (United Kingdom)

^s THE NATURE CONSERVANCY   (United States)

^t National Centre of Research for Conservation of Natural Predators   (Brazil)

^u Brazilian Foundation for Sustainable Development   (Brazil)

^v UNIVERSIDADE FEDERAL DO ABC   (Brazil)

^w Och Spine at New York Presbyterian Hospitals   (United States)

more..

Author keywords

[No Author keywords available]

Indexed keywords

BRAZIL; CARBON SEQUESTRATION; COST BENEFIT ANALYSIS; ECONOMICS; ECOSYSTEM; ENVIRONMENTAL PROTECTION;

BRAZIL; CARBON SEQUESTRATION; CONSERVATION OF NATURAL RESOURCES; COST-BENEFIT ANALYSIS; ECOSYSTEM;

EID: 85058884779     PISSN: None     EISSN: 2397334X     Source Type: Journal    
DOI: 10.1038/s41559-020-1211-9     Document Type: Erratum

References (65)

1. United Nations Sustainable Development Goals (United Nations, accessed 17 November 2017); http://www.un.org/sustainabledevelopment/sustainable-development-goals/
2. Griggs, D. et al. Sustainable development goals for people and planet. Nature 495, 305–307 (2013)
3. Chazdon, R. L. et al. A policy‐driven knowledge agenda for global forest and landscape restoration. Conserv. Lett. 10, 125–132 (2017)
4. Chazdon, R. L. et al. Carbon sequestration potential of second-growth forest regeneration in the Latin American tropics. Sci. Adv. 2, e1501639 (2016)
5. Crouzeilles, R. Ecological restoration success is higher for natural regeneration than for active restoration in tropical forests. Sci. Adv. 3, e1701345 (2017)
6. Verdone, M. & Seidl, A. Time, space, place, and the Bonn Challenge global forest restoration target. Rest. Ecol. 25, 903–911 (2017)
7. Smith, P. et al. How much land-based greenhouse gas mitigation can be achieved without compromising food security and environmental goals? Glob. Change Biol. 19(8), 2285–2302 (2013)
8. Gourevitch, J. D. et al. Optimizing investments in national-scale forest landscape restoration in Uganda to maximize multiple benefits. Environ. Res. Lett. 11, 114027 (2016)
9. Zwiener, V. P. et al. Planning for conservation and restoration under climate and land use change in the Brazilian Atlantic Forest. Divers. Distrib. 23, 955–966 (2017)
10. Strassburg, B. B. N. et al. Moment of truth for the Cerrado hotspot. Nat. Ecol. Evol. 1, 0099 (2017)
11. Pouzols, F. M. et al. Global protected area expansion is compromised by projected land-use and parochialism. Nature 516, 383–386 (2014)
12. Possingham, H. P., Bode, M. & Klein, C. J. Optimal conservation outcomes require both restoration and protection. PLoS Biol. 13, 1–15 (2015)
13. Laurance, W. F. Conserving the hottest of the hotspots. Biol. Conserv. 142, 1137 (2009)
14. Mittermeier, R. A. et al. Hotspots Revisited: Earth’s Biologically Richest and Most Endangered Terrestrial Ecoregions (Conservation International, 2004)
15. Latawiec et al. Creating space for large‐scale restoration in tropical agricultural landscapes. Front. Ecol. Env. 13, 211–218 (2015)
16. Beyer, H. L., Dujardin, Y., Watts, M. E. & Possingham, H. P. Solving conservation planning problems with integer linear programming. Ecol. Model. 328, 14–22 (2016)
17. Thomas, C. D. et al. Extinction risk from climate change. Nature 427, 145–148 (2004)
18. Strassburg et al. Impacts of incentives to reduce emissions from deforestation on global species extinctions. Nat. Clim. Change 2, 350–355 (2012)
19. Crouzeilles, R. & Curran, M. Which landscape size best predicts the influence of forest cover on restoration success? A global meta-analysis on the scale of effect. J. Appl. Ecol. 53, 440–448 (2016)
20. Crouzeilles, R., Beyer, H. L., Mills, M., Grelle, C. E. V. & Possingham, H. P. Incorporating habitat availability into systematic planning for restoration: a species-specific approach for Atlantic Forest mammals. Divers. Distrib. 21, 1027–1037 (2015)
21. Groeneveld, J. et al. The impact of fragmentation and density regulation on forest succession in the Atlantic rain forest. Ecol. Model. 220, 2450–2459 (2009)
22. Soares-Filho, B. et al. Cracking Brazil’s forest code. Science 344, 363–364 (2014)
23. Kennedy, C. M. et al. Bigger is better: improved nature conservation and economic returns from landscape-level mitigation. Sci. Adv. 2, e1501021 (2016)
24. Duffy, J. E., Godwin, C. M. & Cardinale, B. J. Biodiversity effects in the wild are common and as strong as key drivers of productivity. Nature 549, 261–264 (2017)
25. Scarano, F. R. Ecosystem-based adaptation to climate change: concept, scalability and a role for conservation science. Perspect. Ecol. Conserv. 15, 65–73 (2017)
26. Brancalion, P. H. S., Viani, R. A. G., Strassburg, B. B. N. & Rodrigues, R. R. Finding the money for tropical forest restoration. Unasylva 63, 239 (2012)
27. Mitchell, M. G. E. et al. Reframing landscape fragmentation’s effects on ecosystem services. Trends Ecol. Evol. 30, 190–198 (2015)
28. Banks-Leite, C. et al. Using ecological thresholds to evaluate the costs and benefits of set-asides in a biodiversity hotspot. Science 345, 1041–1045 (2014)
29. PLANAVEG: The National Vegetation Recovery Plan Federal Decree No. 8.972/2017 (Brazilian Ministry of Environment, 2017)
30. Lemes, P., Melo, A. S. & Loyola, R. D. Climate change threatens protected areas of the Atlantic Forest. Biodivers. Conserv. 23, 357–368 (2014)
31. Global Biodiversity Information Facility Database (GBIF, accessed 15 March 2017); www.gbif.org
32. SpeciesLink (SpeciesLink, accessd 15 March 2017); http://splink.cria.org.br/
33. Oliveira-Filho, A. T. NeoTropTree, Flora Arbórea da Região Neotropical: Um Banco de Dados Envolvendo Biogeografia, Diversidade e Conservação (Universidade Federal de Minas Gerais, 2017); http://www.neotroptree.info/
34. Flora do Brasil 2020 Under Construction (Jardim Botânico do Rio de Janeiro, accessed 20 March 2017); http://floradobrasil.jbrj.gov.br/
35. Carvalho, G. Package ‘flora’ 2016: Tools for Interacting with the Brazilian Flora 2020 R Package Version 0.3.0 (R Foundation for Statistical Computing, 2017); https://cran.r-project.org/web/packages/flora/flora.pdf
36. Robertson, T. et al. The GBIF integrated publishing toolkit: facilitating the efficient publishing of biodiversity data on the internet. PLoS ONE 9, 102623 (2014)
37. Stotz, D. F., Fitzpatrick, J. W., Parker, T. A. III. & Moskovits, D. K. Neotropical Birds: Ecology and Conservation. (Univ. Chicago Press, Chicago, 1996)
38. 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)
39. Jones, P. G. & Thornton, P. K. Generating downscaled weather data from a suite of climate models for agricultural modelling applications. Agric. Syst. 114, 1–5 (2013)
40. Dormann, C. F. et al. Collinearity: a review of methods to deal with it and a simulation study evaluating their performance. Ecography 36, 27–46 (2013)
41. Cruz-Cárdenas, G., López-Mata, L., Villaseñor, J. L. & Ortiz, E. Potential species distribution modelling and the use of principal component analysis as predictor variables. Rev. Mex. Biodivers. 85, 189–199 (2014)
42. Allouche, O., Tsoar, A. & Kadmon, R. Assessing the accuracy of species distribution models: prevalence, kappa and the true skill statistic (TSS). J. Appl. Ecol. 43, 1223–1232 (2006)
43. Barbet‐Massin, M., Jiguet, F., Albert, C. H. & Thuiller, W. Selecting pseudo‐absences for species distribution models: how, where and how many? Methods Ecol. Evol. 3, 327–338 (2012)
44. Barve, N. et al. The crucial role of the accessible area in ecological niche modelling and species distribution modelling. Ecol. Model. 222, 1810–1819 (2011)
45. Stokland, J. N., Halvorsen, R. & Støa, B. Species distribution modelling-effect of design and sample size of pseudo-absence observations. Ecol. Model. 222, 1800–1809 (2011)
46. Araújo, M. B. & New, M. Ensemble forecasting of species distributions. Trends Ecol. Evol. 22, 42–47 (2007)
47. Sánchez-Tapia, A. et al. Model-R: a framework for scalable and reproducible ecological niche modeling. In High Performance Computing Fourth Latin American Conference, CARLA 2017. Comm. Comp. Inform. Sci. 796, 218–232 (2017)
48. Lang, D. T. et al. XML: Tools for Parsing and Generating XML within R and S-Plus R Package Version 3.98-1.1 (R Foundation for Statistical Computing, 2013); https://rdrr.io/cran/XML/
49. Hijmans, R. J., Phillips, S., Leathwick, J. & Elith, J. dismo: Species Distribution Modeling R Package Version 1.1-4 (R Foundation for Statistical Computing, 2016); https://cran.r-project.org/web/packages/dismo/index.html
50. Bivand, R., Keitt, T. & Rowlingson, B. rgdal: Bindings for the Geospatial Data Abstraction Library R Package Version 0.8-16 (R Foundation for Statistical Computing, 2014); https://cran.r-project.org/web/packages/rgdal/index.html
51. Becker, R., Wilks, A., Brownrigg, R., Minka, T. & Deckmyn, A. maps: Draw Geographical Maps R Package Version 3.1. 0 (R Foundation for Statistical Computing, 2016); https://cran.r-project.org/web/packages/maps/index.html
52. Bivand, R. & Rundel, C. rgeos: Interface to Geometry Engine-Open Source (GEOS) R Package Version 0.3-8 (R Foundation for Statistical Computing, 2014); https://cran.r-project.org/web/packages/rgeos/index.html
53. Liaw, A. & Wiener, M. Classification and regression by randomforest. R News 2, 18–22 (2002)
54. Meyer, D., Dimitriadou, E., Hornik, K., Weingessel, A. & Leisch F. e1071: Misc Functions of the Department of Statistics (e1071) R Package Version 1–6 (R Foundation for Statistical Computing, 2014); https://rdrr.io/rforge/e1071/
55. Poorter, L., Bongers, F. & Rozendall, D. M. A. Biomass resilience of Neotropical secondary forests. Nature 530, 211–214 (2016)
56. TNC Maps (The Nature Conservancy, accessed 21 October 2016); http://maps.tnc.org/gis_data.html
57. WorldClim - Global Climate Data (WorldClim, accessed 27 October 2016); http://www.worldclim.org/current
58. Chave, L. et al. Improved allometric models to estimate the above ground biomass of tropical trees. Glob. Change Biol. 20, 3177–3190 (2014)
59. Mendes, M. S. et al. Look down—there is a gap—the need to include soil data in Atlantic Forest restoration. Restor. Ecol. 10.1111/rec.12875 (2018)
60. Sanderman, J., Tomislav, H. & Gregory, J. F. Soil carbon debt of 12,000 years of human land use. Proc. Natl Acad. Sci. USA 114, 9575–9580 (2017)
61. Ministério do Meio Ambiente Potencial de Regeneração Natural da Vegetação no Brasil (World Resources Institute: Brasil, Brasília, 2017)
62. Anuário da Agricultura Brasileira: Agrianual 2015 (Informa Economics FNP, São Paulo, 2014)
63. Chazdon, R. L. Beyond deforestation: restoring forests and ecosystem services on degraded lands. Science 320, 1458–1460 (2008)
64. Holl, H. D. & Aide, T. M. When and where to actively restore ecosystems? Forest Ecol. Manag. 261, 1558–1563 (2011)
65. SOS Mata Atlântica & INPE Atlas dos Remanescentes Florestais da Mata Atlântica - Período de 2011 (Fundação SOS Mata Atlântica, São Paulo, 2012); mapas.sosma.org.br