Abstract
Substantial investment in climate change research has led to dire predictions of the impacts and risks to biodiversity. The Intergovernmental Panel on Climate Change fourth assessment report1 cites 28,586 studies demonstrating significant biological changes in terrestrial systems2. Already high extinction rates, driven primarily by habitat loss, are predicted to increase under climate change3,4,5,6. Yet there is little specific advice or precedent in the literature to guide climate adaptation investment for conserving biodiversity within realistic economic constraints7. Here we present a systematic ecological and economic analysis of a climate adaptation problem in one of the world’s most species-rich and threatened ecosystems: the South African fynbos. We discover a counterintuitive optimal investment strategy that switches twice between options as the available adaptation budget increases. We demonstrate that optimal investment is nonlinearly dependent on available resources, making the choice of how much to invest as important as determining where to invest and what actions to take. Our study emphasizes the importance of a sound analytical framework for prioritizing adaptation investments4. Integrating ecological predictions in an economic decision framework will help support complex choices between adaptation options under severe uncertainty. Our prioritization method can be applied at any scale to minimize species loss and to evaluate the robustness of decisions to uncertainty about key assumptions.
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References
Rosenzweig, C. et al. in IPCC Climate Change 2007: Impacts, Adaptation, and Vulnerability (eds Parry, M. L. et al.) 79–131 (Cambridge Univ. Press, 2007).
Richardson, A. J. & Poloczanska, E. S. Under resourced, under threat. Science 320, 1294–1295 (2008).
Thomas, C. D. et al. Extinction risk from climate change. Nature 427, 145–148 (2004).
Dawson, T. P., Jackson, S. T., House, J. I., Prentice, I. C. & Mace, G. M. Beyond predictions: Biodiversity conservation in a changing climate. Science 332, 53–58 (2011).
Hoegh-Guldberg, O. et al. Coral reefs under rapid climate change and ocean acidification. Science 318, 1737–1742 (2007).
Parmesan, C. Ecological and evolutionary responses to recent climate change. Annu. Rev. Ecol. Syst. 37, 637–669 (2006).
Heller, N. E. & Zavaleta, E. S. Biodiversity management in the face of climate change: A review of 22 years of recommendations. Biol. Conserv. 142, 14–32 (2009).
Polasky, S., Carpenter, S. R., Folke, C. & Keeler, B. Decision-making under great uncertainty: Environmental management in an era of global change. Trends Ecol. Evol. 26, 398–494 (2011).
Wald, A. Statistical decision functions which minimize the maximum risk. Ann. Math. 46, 265–280 (1945).
Goldblatt, P. & Manning, J. Plant diversity of the Cape region of South Africa. Ann. Missouri Bot. Garden 89, 281–302 (2002).
Keith, D. A. et al. Predicting extinction risks under climate change: Coupling stochastic population models with dynamic bioclimatic habitat models. Biol. Lett. 4, 560–563 (2008).
Wilson, K. A. et al. Conserving biodiversity efficiently: What to do, where, and when. PloS Biol. 5, 1850–1861 (2007).
van Wilgen, B. W. The evolution of fire and invasive alien plant management practices in fynbos. South Afr. J. Sci. 105, 335–342 (2009).
Hoegh-Guldberg, O. et al. Assisted colonization and rapid climate change. Science 321, 345–346 (2008).
van Wilgen, B. W. et al. Fire management in Mediterranean-climate shrublands: A case study from the Cape fynbos, South Africa. J. Appl. Ecol. 47, 631–638 (2010).
Pitman, A. J., Narisma, G. T. & McAneney, J. The impact of climate change on the risk of forest and grassland fires in Australia. Climatic Change 84, 383–401 (2007).
Osano, M. O., Rouget, M., Turpie, J., Thuiller, W. & Balmford, A. in Estimating Land Prices and Opportunity Costs of Conservation in a Megadiversity Country (ATPS Working Paper Series No. 58, African Technology Policy Studies Network, 2011).
McCarthy, M. A. & Thompson, C. Expected minimum population size as a measure of threat. Animal Conserv. 4, 351–355 (2001).
Burgman, M. A., Akcakaya, H. R. & Loew, S. S. The use of extinction models for species conservation. Biol. Conserv. 43, 9–25 (1988).
Joseph, L. N., Maloney, R. F. & Possingham, H. P. Optimal allocation of resources among threatened species: A project prioritization protocol. Conserv. Biol. 23, 328–338 (2009).
Ben-Haim, Y. Info-gap Decision Theory 2nd edn (Elsevier, 2006).
Gold, M. R., Siegel, J. E., Russell, L. B. & Weinstein, M. C. Cost-effectiveness in Health and Medicine (Oxford Univ. Press, 1996).
National Action Plan for Energy Efficiency Understanding Cost-effectiveness of Energy Efficiency Programs: Best Practices, Technical Methods, and Emerging Issues for Policy-makers (US Environment Protection Agency, Energy and Environmental Economics, 2008).
Fowler, R. A. et al. Cost effectiveness of defending against bioterrorism: A comparison of vaccination and antibiotic prophylaxis against anthrax. Ann. Intern. Med. 142, 601–610 (2005).
Kremen, C. et al. Aligning conservation priorities across taxa in Madagascar with high-resolution planning tools. Science 320, 222–225 (2008).
Moilanen, A. et al. Planning for robust reserve networks using uncertainty analysis. Ecol. Model. 199, 115–124 (2007).
Ferraro, P. J. & Pattanayak, S. K. Money for nothing? A call for empirical evaluation of biodiversity conservation investments. PLoS Biol. 4, 482–488 (2006).
McDonald-Madden, E. et al. Active adaptive conservation of threatened species in the face of uncertainty. Ecol. Appl. 20, 1476–1489 (2010).
Walters, C. & Holling, C. S. Large-scale management experiments and learning by doing. Ecology 71, 2060–2068 (1990).
Stankey, G. H. et al. Adaptive management and the Northwest Forest Plan; rhetoric and reality. J. For. 101, 40–46 (2003).
RAMAS GIS: linking spatial data with population viability analysis v.5.0 (Applied Biomathematics, 2005).
Lucas, C., Hennessy, K., Mills, G. & Bathols, J. Bushfire Weather in Southeast Australia: Recent Trends and Projected Climate Change Impacts: Consultancy Report Prepared for The Climate Institute of Australia (CSIRO, Bushfire CRC, 2007).
Acknowledgements
This work was funded by the Commonwealth Environment Research Facility; Applied Environmental Decision Analysis and by the Australian Research Council (LP0989537, FF0668778). M.C. was supported by the EU project RESPONSES. We thank M. Bode and W. Morris for assistance in modelling the fire management efficiency curves, G. Forsyth for evaluation of the fire, habitat and weed management cost estimates, and L. Rumpff for help with Fig. 1.
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B.A.W., S.A.B., D.A.K., and H.P.P. designed the research. B.A.W., D.A.K., and B.W.v.W. performed the analysis. B.A.W., S.A.B, M.C., B.S., S.B.C., L.B., A.F., L.M., C.R., T.J.R., and H.P.P. wrote the paper. All authors discussed the results and edited the manuscript.
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Wintle, B., Bekessy, S., Keith, D. et al. Ecological–economic optimization of biodiversity conservation under climate change. Nature Clim Change 1, 355–359 (2011). https://doi.org/10.1038/nclimate1227
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DOI: https://doi.org/10.1038/nclimate1227
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