Impact of landscape predictors on climate change modelling of species distributions: A case study with Eucalyptus fastigata in southern New South Wales, Australia

Journal of Biogeography

Volumn 38, Issue 1, 2011, Pages 9-19

  Austin, Mike P ^a   Van Niel, Kimberly P ^b  

^a CSIRO   (Australia)

^b UNIVERSITY OF WESTERN AUSTRALIA   (Australia)

Author keywords

Australia; Climate change; Climate envelope modelling; Eucalyptus; Generalized additive modelling; Realized niche; Refugia; Solar radiation; Species distribution modelling

Indexed keywords

CLIMATE CHANGE; DICOTYLEDON; FUTURE PROSPECT; HABITAT FRAGMENTATION; REFUGE; RESOLUTION; SOLAR RADIATION; SPECIES OCCURRENCE; STATISTICAL ANALYSIS;

AUSTRALIA; NEW SOUTH WALES;

EUCALYPTUS; EUCALYPTUS FASTIGATA;

EID: 78650001956     PISSN: 03050270     EISSN: 13652699     Source Type: Journal    
DOI: 10.1111/j.1365-2699.2010.02415.x     Document Type: Article

References (45)

1. Araújo, M.B. & Guisan, A. (2006) Five (or so) challenges for species distribution modelling. Journal of Biogeography, 33, 1677-1688.
2. Araújo, M.B. & Luoto, M. (2007) The importance of biotic interactions for modelling species distributions under climate change. Global Ecology and Biogeography, 16, 743-753.
3. Araújo, M.B., Thuiller, W. & Pearson, R.G. (2006) Climate warming and the decline of amphibians and reptiles in Europe. Journal of Biogeography, 33, 1712-1728.
4. 2 levels. Australian Journal of Botany, 40, 615-630.
5. Austin, M.P. (1998) An ecological perspective on biodiversity investigations: examples from Australian eucalypt forests. Annuals of Missouri Botanic Gardens, 85, 2-17.
6. Austin, M.P. (2002) Spatial prediction of species distribution: an interface between ecological theory and statistical modelling. Ecological Modelling, 157, 101-118.
7. Austin, M.P. & Van Niel, K.P. (2010) Improving species distribution models for climate change studies. Journal of Biogeography, doi:.
8. Austin, M.P., Nicholls, A.O. & Margules, C.R. (1990) Measurement of the realised qualitative niche: environmental niches of five Eucalyptus species. Ecological Monographs, 60, 161-177.
9. Austin, M.P., Nicholls, A.O., Doherty, M.D. & Meyers, J.A. (1994) Determining species response functions to an environmental gradient by means of a β-function. Journal of Vegetation Science, 5, 215-228.
10. Austin, M.P., Pausas, J.G. & Noble, I.R. (1997) Modelling environmental and temporal niches of Eucalyptus. Eucalypt ecology: from individuals to ecosystems (ed. by J.E. Williams and J.C.Z. Woinarski), pp. 129-150. Cambridge University Press, Cambridge.
11. Beale, C.M., Lennon, J.L. & Gimona, A. (2008) Opening the climate envelope reveals no macroscale associations with climate in European birds. Proceedings of the National Academy of Sciences USA, 105, 14908-14912.
12. Bennie, J., Huntley, B., Wiltshire, A., Hill, M.O. & Baxter, R. (2008) Slope, aspect and climate: spatially explicit and implicit models of topographic microclimate in chalk grassland. Ecological Modelling, 216, 47-59.
13. Costin, A.B. (1954) A study of the ecosystems of the Monaro Region of New South Wales. New South Wales Government Printer, Sydney.
14. Coudon, C., Gegout, J.-C., Piedallu, C. & Rameau, J.C. (2006) Soil nutritional factors improve models of plant species distribution: an illustration with Acer campestre (L.) in France. Journal of Biogeography, 33, 1750-1763.
15. CSIRO Division of Wildlife and Ecology (1996) Pre-1750 vegetation mapping for the South Coast Forests Area. Final Report. Volumes 1 & 2 prepared for NSW National Parks and Wildlife Service, Canberra.
16. Elith, J. & Leathwick, J.R. (2009) Species distribution models: ecological explanation and prediction across space and time. Annual Review of Ecology, Evolution, and Systematics, 40, 677-697.
17. Fridley, J.D. (2009) Downscaling climate over complex terrain: high finescale (<1000m) spatial variation of near-ground temperatures in montane forested landscape (Great Smoky Mountains). Journal of Applied Meteorology and Climatology, 48, 1033-1049.
18. Guisan, A., Zimmermann, N.E., Elith, J., Graham, C.H., Phillips, S. & Peterson, A.T. (2007) What matters for predicting the occurrences of trees: techniques, data, or species' characteristics? Ecological Monographs, 77, 615-630.
19. Huntley, B., Berry, P.M., Cramer, W.P. & McDonald, A.P. (1995) Modelling present and potential future ranges of some European higher plants using climate response surfaces. Journal of Biogeography, 22, 967-1001.
20. Huntley, B., Green, R.E., Collingham, Y.C., Hill, J.K., Willis, S.G., Bartlein, P.J., Cramer, W., Hagemeijer, W.J.M. & Thomas, C.J. (2004) The performance of models relating species geographical distributions to climate is independent of trophic level. Ecology Letters, 7, 417-426.
21. Hutchinson, M.F. (1991) The application of thin plate smoothing splines to continent-wide data assimilation. Data assimilation systems (ed. by J.D. Jasper), Bureau of Meteorology Research Report No. 27. Bureau of Meteorology, Melbourne.
22. Hutchinson, M.F., Nix, H.A., Houlder, D.J. & McMahon, J.P. (1999) ANUCLIM version 1.8 user guide. Centre for Resource and Environmental Studies, Australian National University, Canberra.
23. Ingwersen, F. (1983) Numerical analysis of the timbered vegetation in Tidbinbilla Nature Reserve, ACT, Australia. Vegetatio, 51, 157-179.
24. Iverson, L.R., Prasad, A.M., Mathews, S.N. & Peters, M. (2008) Estimating potential habitat for 134 eastern US tree species under six climate scenarios. Forest Ecology and Management, 254, 390-406.
25. Jeschke, J.M. & Strayer, D.L. (2008) Usefulness of bioclimatic models for studying climate change and invasive species. The year in ecology and conservation biology (ed. by. R.S. Ostfield and W.H. Schlesinger). Annals of the New York Academy of Sciences, 1134, 1-24.
26. Keith, D.A., Akçakaya, H.R., Thuiller, W., Midgley, G.F., Pearson, R.G., Phillips, S.J., Regan, H.M., Araújo, M.B. & Rebelo, T.G. (2008) Predicting extinction risks under climate change: coupling stochastic population models with dynamic bioclimatic habitat models. Biology Letters, 4, 560-563.
27. Luoto, M. & Heikkinen, R.K. (2008) Disregarding topographical heterogeneity biases species turnover assessments based on bioclimatic models. Global Change Biology, 14, 483-494.
28. Luoto, M., Heikkinen, R.K., Pöyry, J. & Saarinen, K. (2006) Determinants of the biogeographical distribution of butterflies in boreal regions. Journal of Biogeography, 33, 1764-1778.
29. Morin, X. & Lechowicz, M.J. (2008) Contemporary perspectives on the niche that can improve models of species range shifts under climate change. Biology Letters, 4, 573-576.
30. Murtaugh, P.A. (2009) Performance of several variable-selection methods applied to real ecological data. Ecology Letters, 12, 1061-1068.
31. Pausas, J.G., Austin, M.P. & Noble, I.R. (1997) A forest simulation model for predicting eucalypt dynamics and habitat quality for arboreal marsupials. Ecological Applications, 7, 921-933.
32. Platts, P.J., McClean, C.J., Lovett, J.C. & Marchant, R. (2008) Predicting tree distributions in an East African biodiversity hotspot: model selection, data bias and envelope uncertainty. Ecological Modelling, 218, 121-134.
33. Pöyry, J., Luoto, M., Heikkinen, R.K. & Saarinen, K. (2008) Species traits are associated with the quality of bioclimatic models. Global Ecology and Biogeography, 17, 403-414.
34. Prentice, I.C., Cramer, W., Harrison, S.P., Leemans, R., Monserud, R.A. & Solomon, A.M. (1992) A global biome model based on plant physiology and dominance, soil properties and climate. Journal of Biogeography, 19, 117-134.
35. Randall, D.A., Wood, R., Bony, S., Colman, R., Fichefet, T., Fyfe, J., Kattsov, V., Pitman, A., Shukla, J., Srinivasan, J., Stouffer, R., Sumi, A. & Taylor, K. (2007) Climate models and their evaluation. Climate change 2007: the physical science basis. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change (ed. by S. Solomon, D. Qin, M. Manning, Z. Chen, M. Marquis, K.B. Averyt, M. Tignor and H.L. Miller), pp. 589-662. Cambridge University Press, Cambridge.
36. Randin, C.F., Engler, R., Normand, S., Zappa, M., Zimmermann, N.E., Pearman, P.B., Vittoz, P., Thuiller, W. & Guisan, A. (2009) Climate change and plant distribution: local models predict high-elevation persistence. Global Change Biology, 15, 1557-1569.
37. 2 on water availability in plant habitat models. Biology Letters, 4, 556-559.
38. Ryan, P., Coops, N., Austin, M. & Binns, D. (1995) Incorporating soil and chemical data into environmental models for predicting species distributions in south-east NSW. Applications of new technologies in forestry (ed. by L. Bren and C. Greenwood), pp. 145-155. Institute of Foresters of Australia Inc., Canberra.
39. Svenning, J.C., Normand, S. & Kageyama, M. (2008) Glacial refugia of temperate trees in Europe: insights from species distribution modelling. Journal of Ecology, 96, 1117-1127.
40. Sykes, M.T., Prentice, I.C. & Cramer, W. (1996) A bioclimatic model for the potential distributions of North European tree species under present and future climates. Journal of Biogeography, 23, 203-233.
41. Thuiller, W., Lavorel, S., Sykes, M.T. & Araújo, M.B. (2006) Using niche-based modelling to assess the impact of climate change on tree functional diversity in Europe. Diversity and Distributions, 12, 49-60.
42. Van Niel, K.P. & Austin, M.P. (2007) Predictive vegetation modelling for conservation: impact of error propagation from digital elevation data. Ecological Applications, 17, 266-280.
43. 2simulation. Annual Report 1997-98, Department of Natural Resources and Environment, Melbourne, Victoria.
44. Williams, J.W., Jackson, S.T. & Kutzbac, J.E. (2007) Projected distributions of novel and disappearing climates by 2100 AD. Proceedings of the National Academy of Sciences USA, 104, 5738-5742.
45. Willis, K.J. & Bhagwat, S.A. (2009) Biodiversity and climate change. Science, 326, 806-807.