Abstract
Frameworks that provide a system for assessing species according to their vulnerability to climate change can offer considerable guidance to conservation managers who need to allocate limited resources among a large number of taxa. To date, climate change vulnerability assessments have largely been based on projected changes in range size derived from the output of species distribution models (SDMs). A criticism of risk assessments based solely on these models is that information on species ecological and life history traits is lacking. Accordingly, we developed a points-based framework for assessing species vulnerability to climate change that considered species traits together with the projections of SDMs. Applying this method to the Australian elapid snakes (family Elapidae), we determined which species may be particularly susceptible in the future and assessed broad-scale biogeographic patterns in species vulnerability. By offering a more comprehensive and rigorous method for assessing vulnerability than those based solely on SDMs, this framework provides greater justification for resource allocation, and can help guide decisions regarding the most appropriate adaptation strategies.
This is a preview of subscription content, access via your institution.


References
Araújo MB, Thuiller W, Pearson RG (2006) Climate warming and the decline of amphibians and reptiles in Europe. J Biogeogr 33(10):1712–1728
Attorre F, Alfò M, De Sanctis M, Francesconi F, Valenti R, Vitale M, Bruno F (2011) Evaluating the effects of climate change on tree species abundance and distribution in the Italian peninsula. Appl Veg Sci 14(2):242–255
Aubret F, Shine R (2010) Thermal plasticity in young snakes: how will climate change affect the thermoregulatory tactics of ectotherms? J Exp Biol 213(2):242–248
Beaumont LJ, Hughes L (2002) Potential changes in the distributions of latitudinally restricted Australian butterfly species in response to climate change. Glob Change Biol 8(10):954–971
Berry PM, Dawson TP, Harrison PA, Pearson RG (2002) Modelling potential impacts of climate change on the bioclimatic envelope of species in Britain and Ireland. Glob Ecol Biogeogr 11(6):453–462
Braganza K, Church JA (2011) Observations of global and Australian climate. In: Cleugh H, Smith MS, Battaglia M, Graham P (eds) Climate change: science and solutions for Australia. CSIRO Publishing, Collingwood, pp 1–14
Buckley LB, Urban MC, Angilletta MJ, Crozier LG, Rissler LJ, Sears MW (2010) Can mechanism inform species’ distribution models? Ecol Lett 13(8):1041–1054
Bull CM, Burzacott D (2002) Changes in climate and in the timing of pairing of the Australian lizard, Tiliqua rugosa: a 15-year study. J Zool 256(03):383–387
Busby JR (1991) BIOCLIM - a bioclimate analysis and prediction system. In: Margules CR, Austin MP (eds) Nature conservation: cost effective biological surveys and data analysis. CSIRO, Canberra, pp 64–68
Carvalho SB, Brito JC, Crespo EJ, Possingham HP (2010) From climate change predictions to actions – conserving vulnerable animal groups in hotspots at a regional scale. Glob Change Biol 16(12):3257–3270
Chambers L, Beaumont L, Hudson I (2013) Continental scale analysis of bird migration timing: influences of climate and life history traits—a generalized mixture model clustering and discriminant approach. Int J Biometeorol:1–16. doi: 10.1007/s00484-00013-00707-00482
Cogger HG, Heatwole H (1981) The Australian reptiles: origins, biogeography, distribution patterns and island evolution. In: Keast A (ed) Ecological biogeography of Australia, vol 2. Dr. W. Junk bv Publishers, The Hague, pp 1331–1371
Commonwealth Scientific and Industrial Research Organisation (CSIRO), the Australian Bureau of Meteorology (BOM) (2007) Climate change in Australia - technical report 2007. CSIRO, Aspendale. Available online at: http://www.climatechangeinaustralia.gov.au/technical_report.php. Accessed 25 June 2012
Commonwealth Scientific and Industrial Research Organisation (CSIRO), the Australian Bureau of Meteorology (BOM) (2012) The State of the Climate 2012. CSIRO, Aspendale. Available online at: http://www.csiro.au/Outcomes/Climate/Understanding/State-of-the-Climate-2012.aspx. Accessed 25 June 2012
Deutsch CA, Tewksbury JJ, Huey RB, Sheldon KS, Ghalambor CK, Haak DC, Martin PR (2008) Impacts of climate warming on terrestrial ectotherms across latitude. Proc Natl Acad Sci USA 105(18):6668–6672
Elith J, Graham CH, Anderson RP, Dudík M, Ferrier S, Guisan A, Hijmans RJ, Huettmann F, Leathwick JR, Lehmann A, Li J, Lohmann LG, Loiselle BA, Manion G, Moritz C, Nakamura M, Nakazawa Y, Overton JMM, Peterson AT, Phillips SJ, Richardson K, Scachetti-Pereira R, Schapire RE, Soberón J, Williams S, Wisz MS, Zimmermann NE (2006) Novel methods improve prediction of species’ distributions from occurrence data. Ecography 29(2):129–151
Fitzpatrick MC, Gove AD, Sanders NJ, Dunn RR (2008) Climate change, plant migration, and range collapse in a global biodiversity hotspot: the Banksia (Proteaceae) of Western Australia. Glob Change Biol 14(6):1337–1352
Franklin J (2009) Mapping species distributions: spatial inference and prediction. Cambridge University Press, Cambridge
Gardali T, Seavy NE, DiGaudio RT, Comrack LA (2012) A climate change vulnerability assessment of California’s at-risk birds. PLoS ONE 7(3):e29507
Guisan A, Zimmermann NE (2000) Predictive habitat distribution models in ecology. Ecol Model 135:147–186
Heikkinen RK, Luoto M, Araújo MB, Virkkala R, Thuiller W, Sykes MT (2006) Methods and uncertainties in bioclimatic envelope modelling under climate change. Prog Phys Geogr 30(6):751–777
Heikkinen RK, Luoto M, Leikola N, Pöyry J, Settele J, Kudrna O, Marmion M, Fronzek S, Thuiller W (2010) Assessing the vulnerability of European butterflies to climate change using multiple criteria. Biodivers Conserv 19(3):695–723
Heller NE, Zavaleta ES (2009) Biodiversity management in the face of climate change: a review of 22 years of recommendations. Biol Conserv 142(1):14–32
Hennessy K, Fawcett R, Kirono D, Mpelasoka F, Jones D, Bathols J, Whetton P, Smith MS, Howden M, Mitchell C, Plummer N (2008) An assessment of the impact of climate change on the nature and frequency of exceptional climate events. CSIRO, Bureau of Meteorology
Hoegh-Guldberg O, Hughes L, McIntyre S, Lindenmayer DB, Parmesan C, Possingham HP, Thomas CD (2008) Assisted colonization and rapid climate change. Science 321(5887):345–346
Hsu C-C, Sandford BA (2007) The Delphi technique: making sense of consensus. Pract Assess Res Eval 12(10):1–8
Kearney M, Porter W (2009) Mechanistic niche modelling: combining physiological and spatial data to predict species’ ranges. Ecol Lett 12(4):334–350
Lillywhite HB (1980) Behavioral thermoregulation in Australian elapid snakes. Copeia 1980(3):452–458
Loarie SR, Duffy PB, Hamilton H, Asner GP, Field CB, Ackerly DD (2009) The velocity of climate change. Nature 462(7276):1052–1055
Mateo RG, Croat TB, Felicísimo ÁM, Muñoz J (2010) Profile or group discriminative techniques? Generating reliable species distribution models using pseudo-absences and target-group absences from natural history collections. Divers Distrib 16:84–94
Nakicenovic N, Swart RJ (2000) Emission scenarios 2000 - special report of the intergovernmental panel on climate change. Cambridge University Press, Cambridge
Nix H (1989) A biogeographic analysis of Australian elapid snakes. In: Longmore R (ed) Atlas of elapid snakes of Australia. Australian Government Publishing Service, Bureau of Flora and Fauna, Canberra
Penman TD, Pike DA, Webb JK, Shine R (2010) Predicting the impact of climate change on Australia’s most endangered snake, Hoplocephalus bungaroides. Divers Distrib 16(1):109–118
Phillips SJ, Dudik M (2008) Modeling of species distributions with maxent: new extensions and a comprehensive evaluation. Ecography 31:161–175
Phillips SJ, Anderson RP, Schapire RE (2006) Maximum entropy modeling of species geographic distributions. Ecol Model 190(3–4):231–259
Phillips SJ, Dudik M, Elith J, Graham CH, Lehmann A, Leathwick J, Ferrier S (2009) Sample selection bias and presence-only distribution models: implications for background and pseudo-absence data. Ecol Appl 19(1):181–197
Phillips BL, Greenlees MJ, Brown GP, Shine R (2010) Predator behaviour and morphology mediates the impact of an invasive species: cane toads and death adders in Australia. Anim Conserv 13(1):53–59
Raupach MR, Marland G, Ciais P, Le Quere C, Canadell JG, Klepper G, Field CB (2007) Global and regional drivers of accelerating CO2 emissions. Proc Natl Acad Sci USA 104(24):10288–10293
Reside AE, VanDerWal J, Kutt AS (2012) Projected changes in distributions of Australian tropical savanna birds under climate change using three dispersal scenarios. Ecol Evol 2(4):705–718
Shine R (1979) Activity patterns in Australian elapid snakes (Squamata: Serpentes: Elapidae). Herpetologica 35(1):1–11
Shine R (1980) Ecology of the Australian death adder Acanthophis antarcticus (Elapidae): evidence for convergence with the Viperidae. Herpetologica 36(4):281–289
Shine R (1989) Constraints, allometry, and adaptation: food habits and reproductive biology of Australian brownsnakes (Pseudonaja: Elapidae). Herpetologica 45(2):195–207
Shine R (1994) Allometric patterns in the ecology of Australian snakes. Copeia 1994(4):851–867
Simpson EH (1949) Measurement of diversity. Nature 163:688
Sinclair SJ, White MD, Newell GR (2010) How useful are species distribution models for managing biodiversity under future climates? Ecol Soc 15(1):8
Steffen W, Burbidge AA, Hughes L, Kitching R, Lindenmayer D, Musgrave W, Stafford Smith M, Werner PA (2009) Australia’s biodiversity and climate change: a strategic assessment of the vulnerability of Australia’s biodiversity to climate change. A report to the Natural Resource Management Ministerial Council Commissioned by the Australian Government. CSIRO Publishing, Collingwood
Telemeco RS, Elphick MJ, Shine R (2009) Nesting lizards (Bassiana duperreyi) compensate partly, but not completely, for climate change. Ecology 90(1):17–22
Tewksbury JJ, Huey RB, Deutsch CA (2008) Putting the heat on tropical animals. Science 320:1296–1297
Thomas CD (2011) Translocation of species, climate change, and the end of trying to recreate past ecological communities. Trends Ecol Evol 26(5):216–221
Thuiller W (2003) BIOMOD - optimizing predictions of species distributions and projecting potential future shifts under global changes. Glob Change Biol 9:1353–1362
Thuiller W, Lavorel S, Araújo MB (2005) Niche properties and geographical extent as predictors of species sensitivity to climate change. Glob Ecol Biogeogr 14(4):347–357
Umina PA, Weeks AR, Kearney MR, McKechnie SW, Hoffmann AA (2005) A rapid shift in a classic clinal pattern in Drosophila reflecting climate change. Science 308(5722):691–693
VanDerWal J, Shoo LP, Graham C, Williams SE (2009) Selecting pseudo-absence data for presence-only distribution modeling: How far should you stray from what you know? Ecol Model 220(4):589–594
Whetton P (2011) Future Australian climate scenarios. In: Cleugh H, Smith MS, Battaglia M, Graham P (eds) Climate change: science and solutions for Australia. CSIRO Publishing, Collingwood, pp 35–44
Williams SE, Bolitho EE, Fox S (2003) Climate change in Australian tropical rainforests: an impending environmental catastrophe. Proc R Soc B Biol Sci 270(1527):1887–1892
Williams SE, Shoo LP, Isaac JL, Hoffmann AA, Langham G (2008) Towards an integrated framework for assessing the vulnerability of species to climate change. PLoS Biol 6(12):2621–2626
Wilson S, Swan G (2008) A complete guide to reptiles of Australia. 2nd edn. New Holland Publishers (Australia) Pty Ltd, Sydney
Wisz MS, Hijmans RJ, Li J, Peterson AT, Graham CH, Guisan A (2008) Effects of sample size on the performance of species distribution models. Divers Distrib 14(5):763–773
Acknowledgments
We thank the Australian Museum, the Western Australian Museum, the Tasmanian Museum and Art Gallery, the NSW Parks and Wildlife Service and the Australian National Wildlife Collection for access to their reptile locality records. Thanks to P. Wilson, L. Beaumont, D. Duursma and M. Steel for help with the species distribution modelling. We are indebted to R. Shine, J. Webb, M. Bull, E. Wapstra, M. Thomson, H. Heatwole and N. Mitchell for their participation in the Delphi process, to H. Cogger for his encouragement and advice and to M. Burgman and two anonymous referees for their comments on earlier drafts of this manuscript. This research was funded by a Macquarie University Research Excellence Scholarship to AC.
Author information
Authors and Affiliations
Corresponding author
Additional information
Communicated by David Westcott.
Electronic supplementary material
Below is the link to the electronic supplementary material.
Rights and permissions
About this article
Cite this article
Cabrelli, A.L., Stow, A.J. & Hughes, L. A framework for assessing the vulnerability of species to climate change: a case study of the Australian elapid snakes. Biodivers Conserv 23, 3019–3034 (2014). https://doi.org/10.1007/s10531-014-0760-0
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10531-014-0760-0
Keywords
- Climate change
- Conservation priorities
- Elapidae
- Species distribution modelling
- Species traits
- Vulnerability assessment