Modelling pre-clearing vegetation distribution using GIS-integrated statistical, ecological and data models: A case study from the wet tropics of Northeastern Australia

Ecological Modelling

Volumn 198, Issue 1-2, 2006, Pages 85-100

  Accad, Arnon ^a   Neil, David T ^b  

^a QUEENSLAND HERBARIUM   (Australia)

^b UNIVERSITY OF QUEENSLAND   (Australia)

Author keywords

Classification and regression trees; Composite prediction map; GIS; Modelling; Multivariate; Pre clearing vegetation; Remnant vegetation; Vegetation community mapping

Indexed keywords

AERIAL PHOTOGRAPHY; COMPUTER SIMULATION; GEOGRAPHIC INFORMATION SYSTEMS; MATHEMATICAL MODELS; STATISTICAL METHODS;

CLASSIFICATION TREES; COMPOSITE PREDICTION MAP; MODELING; PRECLEARING VEGETATION; REGRESSION TREES; REMNANT VEGETATION; VEGETATION COMMUNITY MAPPING;

VEGETATION;

AERIAL PHOTOGRAPHY; CLEARCUTTING; DATA SET; ECOLOGICAL MODELING; GEOGRAPHICAL DISTRIBUTION; GIS; MODEL VALIDATION; PREDICTION; STATISTICAL ANALYSIS; TROPICAL ENVIRONMENT; VEGETATION; VEGETATION MAPPING;

AUSTRALASIA; AUSTRALIA;

EID: 33747821432     PISSN: 03043800     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ecolmodel.2006.04.014     Document Type: Article

References (61)

1. Accad, A., 1996. The use of Digital elevation Model in Modelling vegetation, Paper presented in World Heritage Tropical Forests Conference: Science for Better Management and Understanding, September 2-6. Cairns, Far North Queensland, Australia.
2. Accad, A., 2003. Vegetation Communities Modelling Using GIS-Integrated Statistical, Ecological And Data Models, An application in the Wet Tropics of Northeastern Queensland, Ph.D. Thesis. University of Queensland, Australia.
3. Accad, A., Neldner, V.J., Wilson, B. A., Niehus, R.E., 2006. Remnant Vegetation in Queensland. Analysis of remnant vegetation 1997-1999-2000-2001-2003, including regional ecosystem information. Environmental Protection Agency, Brisbane, Queensland Herbarium.
4. AUSLIG, 1994. TOPO-250K Data User Guide, Australian Surveying and Land Information Group Canberra. p. 109.
5. Austin M.P., and Meyers J.A. Current approaches to modelling the environmental niche of eucalypts - implication for management of forest biodiversity. Forest Ecol. Manage. 85 (1996) 95-106
6. Austin M.P., Nicolls A.O., Doherty M.D., and Meyers J.A. Determining species response functions to an environmental gradient by means of a ß-function. J. Veg. Sci. 5 (1994) 215-228
7. Austin M.P., Nicolls A.O., and Marguls C.R. Measurement of the realized qualitative niche: environmental niches of five Eucalyptus species. Ecol. Monogr. 60 (1990) 161-177
8. Austin M.P. Spatial prediction of species distribution: an interface between ecological theory and statistical modelling. Ecol. Model. 157 (2002) 101-118
9. Breiman L., Friedman J., Olshen R., and Stone C. Classification and Regression Trees (1984), Wadsworth and Brooks/Cole, Monterey, CA p. 358
10. Clark, L.A., Pregibon, D., 1992. Tree-based models, in: Chambers, J., Hastie, T.J. (Eds.), Statistical Models in S. Wadsworth and Brooks/Cole Advanced Books and Software. Pacific Grove, California.
11. Efron, B., 1982. The Jackknife, the bootstrap, and other resampling plans, Volume 38 of CBMS-NSF Regional Conference Series in Applied Mathematics. SIAM.
12. Fensham R.J., and Fairfax R.J. The use of the land survey record to reconstruct pre-European vegetation patterns in the Darling Downs, Queensland, Australia. J. Biogeogr. 24 (1997) 827-836
13. Ferrier, S., Watson, G., 1996. An evaluation of the effectiveness of environmental surrogates and modelling techniques in predicting the distribution of biological diversity. Consultancy Report to the Biodiversity Convention and Strategy Section of the Biodiversity Group, Environment Australia. New South Wales National Parks and Wildlife Service, Sydney, p. 193.
14. Franklin J. Predictive vegetation mapping: geographic modelling of biospatial patterns in relation to environmental gradients. Prog. Phys. Geogr. 19 4 (1995) 474-499
15. Franklin J. Predicting the distribution of shrub species in southern California from climate and terrain-derived variables. J. Veg. Sci. 9 5 (1998) 733-748
16. Franklin J., McCullough P., and Gary C. Terrain variables used for predictive mapping of vegetation communities in southern California. In: Wilson J.P., and Gallant J. (Eds). Terrain Analysis: Principles and Applications (2000), Wiley and Sons, New York 331-353
17. Gillison, A.N., 1988. A plant functional proforma for dynamic vegetation studies and natural resource surveys, Technical Memorandum 88/3. CSIRO Institute of Natural Resources, Canberra.
18. Goosem, S., Tucker, N.I.J., 1995. Repairing the Rainforest, Theory and practice of rainforest re-establishment in North Queensland's Wet Tropics. Wet Tropics Management Authority, Cairns. p. 71.
19. Goosem, S., Saxon, E., Accad, A., Wickers, J., Ford, K., 1996. Tracey and Webb vegetation classification model, Poster presented at the World Heritage Tropical Forests Conference: Science for Better Management and Understanding, September 2-6. Cairns, Far North Queensland, Australia.
20. Guisan A., Theurillat J.P., and Kienast F. Predicting the potential distribution of plant species in an Alpine environment. J. Veg. Sci. 9 1 (1998) 65-74
21. Guisan A., and Zimmermann N.E. Predictive habitat distribution models in ecology. Ecol. Model. 135 (2000) 147-186
22. Hilbert D.W., and Ostendorf B. The utility of artificial neural networks for modelling the distribution of vegetation in past, present and future climates. Ecol. Model. 146 (2001) 311-327
23. Hilbert D.W., and van den Muyzenberg J. Using an artificial neural network to characterise the relative suitability of environments for forest types in a complex tropical vegetation mosaic. Diver. Distrib. 5 (1999) 263-274
24. Hilbert D.W., Ostendorf B., and Hopkins M. Sensitivity of tropical forests to climate change in the humid tropics of North Queensland. Austral Ecol. 26 (2001) 590-603
25. IPCC, 2002. Climate Change and Biodiversity, Intergovernmental Panel on Climate Change. IPCC Technical Paper V. Web site: http://www.unep.ch/ipcc.
26. Kuhnert P.M., and Mengersen K. Reliability measures for local nodes assessment in classification trees. J. Comput. Graph. Stat. 12 (2003) 398-416
27. Lees B.G., and Ritman K. Decision-tree and rule-induction approach to integration of remotely sensed and GIS data in mapping vegetation disturbed or hilly environments. Environ. Manage. 25 (1991) 823-831
28. Lenihan J.M., and Neilson R.P. A rule-based vegetation formation model. Can. J. Biogeogr. 20 (1993) 615-628
29. Mackey, B.G., 1991. The spatial extension of vegetation site data: a case study in the rainforests of the Wet Tropics of Queensland, Ph.D. Thesis. Australia National University, Australia.
30. Mackey B.G. A spatial analysis of the environmental relations of rainforest structure. J. Biogeogr. 20 (1993) 303-356
31. Mackey B.G. Predicting the potential distribution of rain-forest structural characteristics. J. Veg. Sci. 4 (1993) 43-54
32. Mackey B.G. Predicting the spatial distribution of rainforest structural characteristics. J. Veg. Sci. 5 (1994) 43-54
33. Mackey B.G., Nix H.A., Hutchinson M.F., MacMahon J.P., and Fleming P.M. Assessing the representativeness of places for conservation reservation and heritage listing. Environ. Manage. 12 (1988) 501-514
34. Mackey B.G., Nix H.A., Stein J.A., and Bullen F.T. Assessing the representativeness of the Wet Tropics of Queensland world heritage property. Biol. Conserv. 50 (1989) 279-299
35. McKenzie, N.H., Jacquir, D.W., Ashton, L.J., Cresswell, H.P., 2000. Estimation of soil Properties Using the Atlas of Australia Soils, Technical Report 11/00, February. CSIRO Land and Water.
36. McKenzie, N.J., Hook, J., 1992. Interpretation of the Atlas of Australian Soils, Consulting Report to the Environmental Resource Information Network (ERIN). CSIRO Division of Soils Technical Report 94/1992.
37. McKenzie N.J., and Ryan P.J. Spatial prediction of soil properties using environmental correlation. Geoderma 89 1-2 (1999) 67-94
38. Michaelsen J., Schimel D., Friedl M., Davis F.W., and Dubayah R.C. Regression tree analysis of satellite and terrain data to guide vegetation sampling and surveys. J. Veg. Sci. 5 (1994) 673-686
39. Miller J., and Franklin J. Modelling the distribution of four vegetation alliances using generalised linear models and classification trees with spatial dependence. Ecol. Model. 157 (2002) 227-247
40. Moisen G., and Frescino T.S. Comparing five modelling techniques for predicting forest characteristics. Ecol. Model. 157 (2002) 209-225
41. Moore D.M., Lees B.G., and Davey S.M. A new method for predicting vegetation distribution using decision tree analysis in geographic information system. Environ. Manage. 15 (1991) 59-71
42. Murtha, G.G., 1986. Soils of the Tully-Innisfail area, north Queensland. CSIRO Aust. Div. Soils, Divl. Rep No. 83, pp. 99.
43. Murtha, G.G., Cannon M.G., Smith C.D., 1992. Soils of the Babinda - Cairns Area. North Queensland, CSIRO Aust. Div. Soils, Divl. Rep No. 123, p. 79.
44. Neldner, V.J., Wilson, B.A., Thompson, E.J., Dillewaard, H.A., 2005. Methodology for Survey And Mapping of Regional Ecosystems and Vegetation Communities in Queensland, Version 3.0. Queensland Herbarium. Environmental Protection Agency, Brisbane, 121 pp., not referred to!
45. Ostendorf B., Hilbert D.W., Kostner B., Tappeiner U., and Tasser E. The importance of understanding spatial pattern for scaling-up plot-level matter and energy fluxes to regional scales. System Anal. Model. Simul. 41 (2001) 391-407
46. Specht R.L. Vegetation. In: Leeper G.W. (Ed). The Australian Environment (1970), CSIRO and Melbourne University Press, Melbourne 44-67
47. Stanton J.P., Stanton, D., 2005. Vegetation of the Wet Tropics of Queensland bioregion, Wet Tropic Management Authority Cairns.
48. Stone M. Cross-validation choice and assessment of statistical predictions. J.R. Stat. Soc. 36 (1974) 111-147
49. Therneau, T.M., Atkinson, E.J., 2002. An introduction to recursive partitioning using the RPART routines, Technical Report Series No. 61. Department of Health Science Research, Mayo Clinic, pp. 5-13.
50. Tracey J.G. The Vegetation of the Humid Tropical Region of North Queensland (1982), CSIRO, Melbourne p. 124
51. Tracey, J.G., Webb, L.J., 1975. Vegetation of the Humid Tropical Region of North Queensland, (15 maps at 1:100,000 scale + key) CSIRO Aust. Long Pocket Labs: Indooroopilly, Qld.
52. Turton, S.M., Hutchinson, M.F, Accad, A., Hancock, P.E., Webb, T., 1999. Producing fine-scale rainfall climatology surfaces for Queensland's wet tropics region, in: Kesby, J.A., Stanley J.M., McLean, R.F., Olive L.J. (Eds.), Geodiversity: Readings in Australian Geography at the Close of the 20th, Century, Special Publication Series No., 6. Canberra, ACT, School of Geography, Oceanography, University College, ADFA, p. 630, 415-428.
53. Vegetation Management Act, 1999. Queensland Government, Brisbane (URL: www.dnr.qld.gov.au).
54. Venables W.M., and Ripley B.D. Modern Applied Statistics with S-Plus (1994), Springer-Velag, New York, NY p. 501
55. Walker J., and Hopkins M.S. Vegetation. In: McDonald R.C., Isbell R.F., Spright J.G., Walker J., and Hopkins M.S. (Eds). Australian Soil and Land Survey Field Handbook (1984), Inkata Press, Melbourne 198
56. Watson, G., 1996. Predictive Species modelling, Internal Consultancy Report for Environmental Forest Taskforce, Environment Australia. Canberra.
57. Webb L.J. A physiognomic classification of Australian rain forests. J. Ecol. 47 (1959) 551-570
58. Webb L.J. Environmental relationships of the structural types of Australian rain forest vegetation. Ecology 49 (1968) 296-311
59. Webb L.J. A general classification of Australian forests. Aust. Plants 9 (1978) 349-363
60. Williams, K.J, 1997. Predicting eucalypt distributions in Tasmania: an application of generalised linear modelling, Ph.D. Thesis. University of Tasmania, Hobart.
61. Williams S.E., Pearson R.G., and Walsh P.J. Distributions and biodiversity of the terrestrial vertebrates of Australia's Wet Tropics: a review of current knowledge. Pacific Conserv. Biol. 2 (1996) 327-362