Abstract

As one of Earth’s most carbon-dense regions, tropical forests are central to climate change mitigation efforts. Their unparalleled species richness also makes them vital for safeguarding biodiversity. However, because research has not been conducted at management-relevant scales and has often not accounted for forest disturbance, the biodiversity implications of carbon conservation strategies remain poorly understood. We investigated tropical carbon–biodiversity relationships and trade-offs along a forest-disturbance gradient, using detailed and extensive carbon and biodiversity datasets. Biodiversity was positively associated with carbon in secondary and highly disturbed primary forests. Positive carbon–biodiversity relationships dissipated at around 100 MgC ha–1, meaning that in less disturbed forests more carbon did not equal more biodiversity. Simulated carbon conservation schemes therefore failed to protect many species in the most species-rich forests. These biodiversity shortfalls were sensitive to opportunity costs and could be decreased for small carbon penalties. To ensure that the most ecologically valuable forests are protected, biodiversity needs to be incorporated into carbon conservation planning.

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References

  1. 1.

    Stern, N. H. The Economics of Climate Change: The Stern Review (Cambridge Univ. Press, Cambridge, 2007).

  2. 2.

    Global Biodiversity Outlook 4 (Convention on Biological Diversity, 2014).

  3. 3.

    Climate Research Roadmap Workshop: Summary Report (US Department of Energy Office of Science, 2010).

  4. 4.

    Dirzo, R. & Raven, P. H. Global state of biodiversity and loss. Annu. Rev. Environ. Resour. 28, 137–167 (2003).

  5. 5.

    Gullison, T. A. et al. Tropical forests and climate policy. Science 316, 985–986 (2007).

  6. 6.

    Gardner, T. A., Barlow, J., Sodhi, N. S. & Peres, C. A. A multi-region assessment of tropical forest biodiversity in a human-modified world. Biol. Conserv. 143, 2293–2300 (2010).

  7. 7.

    Parmesan, C. Ecological and evolutionary responses to recent climate change. Annu. Rev. Ecol. Evol. Syst. 37, 637–669 (2006).

  8. 8.

    Colwell, R. K. et al. Global warming, elevation range shifts, and lowland biotic attrition in the wet tropics. Science 322, 258–261 (2008).

  9. 9.

    Poorter, L. et al. Diversity enhances carbon storage in tropical forests. Glob. Ecol. Biogeogr. 24, 1314–1328 (2015).

  10. 10.

    Norman, M. & Nakhooda, S. The State of REDD+ Finance Working Paper 378 (Centre for Global Development, 2014).

  11. 11.

    McCarthy, D. P. et al. Financial costs of meeting global biodiversity conservation targets: current spending and unmet needs. Science 338, 946–949 (2012).

  12. 12.

    Seymour, F. & Busch, J. Why Forests? Why Now? The Science, Economics and Politics of Tropical Forests and Climate Change (Center for Global Development, Washington DC, 2016).

  13. 13.

    Asner, G. P. et al. A universal airborne LiDAR approach for tropical forest carbon mapping. Oecologia 168, 1147–1160 (2011).

  14. 14.

    Le Toan, T. et al. The BIOMASS mission: mapping global forest biomass to better understand the terrestrial carbon cycle. Remote Sens. Environ. 115, 2850–2860 (2011).

  15. 15.

    Gardner, T. A. et al. A framework for integrating biodiversity concerns into national REDD+ programmes. Biol. Conserv. 154, 61–71 (2011).

  16. 16.

    Phelps, J., Webb, E. L. & Adams, W. M. Biodiversity co-benefits of policies to reduce forest-carbon emissions. Nat. Clim. Change 2, 497–503 (2012).

  17. 17.

    Gilroy, J. J. et al. Cheap carbon and biodiversity co-benefits from forest regeneration in a hotspot of endemism. Nat. Clim. Change 4, 503–507 (2014).

  18. 18.

    Phelps, J., Friess, D. A. & Webb, E. L. Win-win REDD+ approaches belie carbon–biodiversity trade-offs. Biol. Conserv. 154, 53–60 (2012).

  19. 19.

    Strassburg, B. B. N. et al. Global congruence of carbon storage and biodiversity in terrestrial ecosystems. Conserv. Lett. 3, 98–105 (2010).

  20. 20.

    Cavanaugh, K. C. et al. Carbon storage in tropical forests correlates with taxonomic diversity and functional dominance on a global scale. Glob. Ecol. Biogeogr. 23, 563–573 (2014).

  21. 21.

    Beaudrot, L. et al. Limited carbon and biodiversity co-benefits for tropical forest mammals and birds. Ecol. Appl. 26, 1098–1111 (2016).

  22. 22.

    Gibson, L. et al. Primary forests are irreplaceable for sustaining tropical biodiversity. Nature 478, 378–381 (2011).

  23. 23.

    Lewis, S. L., Edwards, D. P. & Galbraith, D. Increasing human dominance of tropical forests. Science 349, 827–832 (2015).

  24. 24.

    Barlow, J. et al. Anthropogenic disturbance in tropical forests can double biodiversity loss from deforestation. Nature 535, 144–147 (2016).

  25. 25.

    Watson, J. E. M. et al. The exceptional value of intact forest ecosystems. Nat. Ecol. Evol. 2, 599–610 (2018).

  26. 26.

    Panfil, S. N. & Harvey, C. A. REDD+ and biodiversity conservation: a review of the biodiversity goals, monitoring methods, and impacts of 80 REDD+ projects. Conserv. Lett. 9, 143–150 (2016).

  27. 27.

    Grainger, A. et al. Biodiversity and REDD at Copenhagen. Curr. Biol. 19, R974–R976 (2009).

  28. 28.

    Magnago, L. F. S. et al. Would protecting tropical forest fragments provide carbon and biodiversity cobenefits under REDD+? Glob. Change Biol. 21, 3455–3468 (2015).

  29. 29.

    Chisholm, R. A. et al. Scale-dependent relationships between tree species richness and ecosystem function in forests. J. Ecol. 101, 1214–1224 (2013).

  30. 30.

    Sobral, M. et al. Mammal diversity influences the carbon cycle through trophic interactions in the Amazon. Nat. Ecol. Evol. 1, 1670–1676 (2017).

  31. 31.

    Dunn, R. R. Managing the tropical landscape: a comparison of the effects of logging and forest conversion to agriculture on ants, birds, and lepidoptera. For. Ecol. Manag. 191, 215–224 (2004).

  32. 32.

    Letcher, S. G. & Chazdon, R. L. Rapid recovery of biomass, species richness, and species composition in a forest chronosequence in Northeastern Costa Rica. Biotropica 41, 608–617 (2009).

  33. 33.

    Chazdon, R. L. et al. Rates of change in tree communities of secondary Neotropical forests following major disturbances. Phil. Trans. R. Soc. Lond. B 362, 273–289 (2007).

  34. 34.

    Barlow, J., Mestre, L. A. M., Gardner, T. A. & Peres, C. A. The value of primary, secondary and plantation forests for Amazonian birds. Biol. Conserv. 136, 212–231 (2007).

  35. 35.

    Aragão, L. E. O. C. et al. 21st century drought-related fires counteract the decline of Amazon deforestation carbon emissions. Nat. Commun. 9, 536 (2018).

  36. 36.

    Venter, O., Hovani, L., Bode, M. & Possingham, H. Acting optimally for biodiversity in a world obsessed with REDD+. Conserv. Lett. 6, 410–417 (2013).

  37. 37.

    Gardner, T. A. et al. A social and ecological assessment of tropical land uses at multiple scales: the Sustainable Amazon Network. Phil. Trans. R. Soc. Lond. B 368, 20120166 (2013).

  38. 38.

    Berenguer, E. et al. A large-scale field assessment of carbon stocks in human-modified tropical forests. Glob. Change Biol. 20, 3713–3726 (2014).

  39. 39.

    Ferraz, S. F. B., Vettorazzi, C. B. & Theobald, D. M. Using indicators of deforestation and land-use dynamics to support conservation strategies: a case study of central Rondônia, Brazil. For. Ecol. Manag. 257, 1589–1595 (2009).

  40. 40.

    Purvis, A., Gittleman, J. L., Cowlishaw, G. & Mace, G. M. Predicting extinction risk in declining species. Proc. Biol. Sci. 267, 1947–1952 (2000).

  41. 41.

    Harley, R. & Kuin, W. E. Scale dependency of rarity, extinction risk, and conservation priority. Cons. Biol. 17, 1559–1570 (2003).

  42. 42.

    Data Zone (BirdLife International, 2017); http://datazone.birdlife.org/home

  43. 43.

    King, D. A. et al. The role of wood density and stem support costs in the growth and mortality of tropical trees. J. Ecol. 94, 679–680 (2006).

  44. 44.

    Phillips, O. L. et al. Drought sensitivity of the Amazon rainforest. Science 323, 1344–1347 (2009).

  45. 45.

    Baker, T. R. et al. Variation in wood density determines spatial patterns in Amazonian forest biomass. Glob. Change Biol. 10, 545–562 (2004).

  46. 46.

    Zanne A. E. et al. Dryad Data from: Towards a worldwide wood economics spectrum. (Dryad Digital Repository, 2009); https://doi.org/10.5061/dryad.234

  47. 47.

    Lunn, D. J., Best, N. & Whittaker, J. C. Generic reversible jump MCMC using graphical models. Stat. Comput. 19, 395–408 (2009).

  48. 48.

    Thomson, J. R. et al. Bayesian change point analysis of abundance trends for pelagic fishes in the upper San Francisco Estuary. Ecol. Appl. 20, 1431–1448 (2010).

  49. 49.

    Brooks, S. P. & Gelman, A. General methods for monitoring convergence of iterative simulations. J. Comput. Graph. Stat. 7, 434–455 (1998).

  50. 50.

    Church, R. L., Stoms, D. M. & Davis, F. W. Reserve selection as a maximal covering location problem. Biol. Conserv. 76, 105–112 (1996).

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Acknowledgements

We thank R. F. Braga, R. C. de Oliveira Jr, J. M. Silveira, F. Z. Vaz-de-Mello and R. C. S. Veiga for support with data collection, and R. A. Begotti, T. M. Cardoso, S. S. Nunes, J. V. Siqueira, C. M. Souza Jr and A. Venturieri for assistance processing the remotely sensed data. This work was supported by grants from Brazil (EMBRAPA SEG:02.08.06.005.00; CNPq 574008/2008-0, 458022/2013-6, 400640/2012-0 and PELD 441659/2016-0; CAPES scholarships; FAPESP 2012/51872-5; and The Nature Conservancy Brasil), the UK (Darwin Initiative 17-023; NE/F01614X/1; NE/G000816/1; NE/F015356/2; NE/l018123/1; NE/K016431/1; NE/N01250X/1, NE/N01250X/1; and H2020-MSCA-RISE-2015 (Project 691053-ODYSSEA)) and Formas 2013-1571, and Australian Research Council grant DP120100797. J.F. and R.P. acknowledge CNPq productivity scholarships (process numbers, respectively: 307788/2017-2 and 308205/2014-6). Institutional support was provided by the Herbário IAN in Belém and LBA in Santarém. This is paper number 66 in the Sustainable Amazon Network series.

Author information

Author notes

  1. These authors contributed equally: Joice Ferreira, Gareth D. Lennox.

  2. These authors jointly supervised this work: Joice Ferreira, Toby A. Gardner, Jos Barlow.

Affiliations

  1. EMBRAPA Amazônia Oriental, Belém, Brazil

    • Joice Ferreira
  2. Lancaster Environment Centre, Lancaster University, Lancaster, UK

    • Gareth D. Lennox
    • , Erika Berenguer
    •  & Jos Barlow
  3. Stockholm Environment Institute, Stockholm, Sweden

    • Toby A. Gardner
  4. International Institute for Sustainability, Rio de Janeiro, Brazil

    • Toby A. Gardner
  5. Institute for Applied Ecology, University of Canberra, Canberra, Australian Capital Territory, Australia

    • James R. Thomson
    •  & Ralph Mac Nally
  6. Arthur Rylah Institute for Environmental Research, Department of Environment, Land, Water and Planning, Melbourne, Victoria, Australia

    • James R. Thomson
  7. Environmental Change Institute, University of Oxford, Oxford, UK

    • Erika Berenguer
  8. Division of Biology and Conservation Ecology, School of Science and the Environment, Manchester Metropolitan University, Manchester, UK

    • Alexander C. Lees
  9. Cornell Lab of Ornithology, Cornell University, Ithaca, NY, USA

    • Alexander C. Lees
  10. Sunrise Ecological Research Institute, Ocean Grove, Victoria, Australia

    • Ralph Mac Nally
  11. Tropical Ecosystems and Environmental Sciences Group, Remote Sensing Division, National Institute for Space Research, Sao Jose dos Campos, Brazil

    • Luiz E. O. C. Aragão
  12. College of Life and Environmental Sciences, University of Exeter, Exeter, UK

    • Luiz E. O. C. Aragão
  13. Escola Superior de Agricultura Luiz de Queiroz, Universidade de Sao Paulo, Piracicaba, Brazil

    • Silvio F. B. Ferraz
  14. Setor de Ecologia e Conservação, Universidade Federal de Lavras, Lavras, Brazil

    • Julio Louzada
    • , Victor H. F. Oliveira
    •  & Jos Barlow
  15. MCTI/Museu Paraense Emílio Goeldi, Belém, Brazil

    • Nárgila G. Moura
    • , Ima C. G. Vieira
    •  & Jos Barlow
  16. Instituto de Biociencias, Universidade de Sao Paulo, Sao Paulo, Brazil

    • Renata Pardini
  17. Instituto de Ciências Biológicas, Departamento de Biologia Geral, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil

    • Ricardo R. C. Solar

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Contributions

T.A.G., J.B. and J.F. designed the research, with input from E.B., A.C.L., S.F.B.F., J.L., V.H.F.O., R.R.C.S., I.C.G.V., L.E.O.C.A. and R.P. E.B., A.C.L., V.H.F.O., R.R.C.S., J.F., N.G.M. and J.L. collected the field data or analysed biological samples. S.F.B.F. and T.A.G. processed the remote sensing data. G.D.L. and J.R.T. analysed the data, with input from J.F., J.B., R.M.N., A.C.L. and T.A.G. G.D.L., J.F., J.B., T.A.G., A.C.L., R.M.N. and J.R.T. wrote the manuscript, with input from all authors.

Corresponding authors

Correspondence to Joice Ferreira or Gareth D. Lennox.

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DOI

https://doi.org/10.1038/s41558-018-0225-7