Using an artificial neural network to characterize the relative suitability of environments for forest types in a complex tropical vegetation mosaic

Diversity and Distributions

Volumn 5, Issue 6, 1999, Pages 263-274

  Hilbert, David W ^a   Van Den Muyzenberg, Jeroen ^a  

^a CSIRO   (Australia)

Author keywords

Artificial neural network; Climate change; Landscape ecology; Modelling; Queensland; Rainforest; Wet tropics

Indexed keywords

BIODIVERSITY; CLIMATE CHANGE; CONSERVATION; FOREST ECOSYSTEM; SPATIAL DISTRIBUTION;

EID: 0033366604     PISSN: 13669516     EISSN: None     Source Type: Journal    
DOI: 10.1046/j.1472-4642.1999.00060.x     Document Type: Article

References (59)

1. AUSLIG (1994). TOPO-250K Data User Guide, 109 pp. Australian Surveying and Land Information Group, Canberra.
2. Baker, W.L. & Weisberg, P.J. (1997) Using GIS to model tree population parameters in the Rocky Mountain National Park forest-tundra ecotone. Journal of Biography, 24, 513-526.
3. Box, E.O. (1981). Macroclimate and plant forms: an introduction to predictive modelling in phytogeography, 258 pp. W. Junk, The Hague.
4. Brown, D.G., Lusch, D.P. & Duda, K.A. (1998) Supervised classification of types of glaciated landscapes using digital elevation data. Geomorphology, 21, 233-250.
5. Chapin, F.S. & Starfield, A.M. (1997) Time lags and novel ecosystems in response to transient climatic change in arctic Alaska. Climate Change, 35, 449-461.
6. Congalton, R.G. (1991) A review of assessing the accuracy of classifications of remotely sensed data. Remote Sensing of Environment, 37, 35-46.
7. Congalton, R.G., Oderwald, R.G. & Mead, R.A. (1983) Assessing LANDSAT classification accuracy using discrete multivariate analysis statistical techniques. Photogrammetric Engineering and Remote Sensing, 49, 1671-1678.
8. De Keyser, F. (1964) Innisfail. Qld - 1:250 000 Geological Series Sheet SE/55-6. Explanatory Notes, 30 pp. Bureau of Mineral Resources, Geology and Geophysics, Australia.
9. Deadman, P.J. & Gimblett, H.R. (1997) Applying neural networks to vegetation management plan development. AI Applications, 11, 107-112.
10. Derr, V.E. & Slutz, R.J. (1994) Prediction of El Nino events in the Pacific by means of neural networks. AI Applications, 8, 51-63.
11. Diaz, S., Cabido, M. & Casanoves, F. (1998) Plant functional traits and environmental filters at a regional scale. Journal of Vegetation Science, 9, 113-122.
12. Elizondo, D., Hoogenboom, G. & Mcclendon, R.W. (1994) Development of a neural network model to predict daily solar radiation. Agricultural and Forest Meteorology, 71, 115-132.
13. Environmental Systems Research Institute (1995). Grid. Version 7.0.3. Environmental Systems Research Institute, Redlands, California.
14. Fischlin, A. & Gyalistras, D. (1997) Assessing impacts of climate change on forests in the Alps. Global Ecology & Biogeographv Letters, 6, 19-37.
15. Foody, G.M., Lucas, R.M., Curran, P.J. & Honzak, M. (1997) Mapping tropical forest fractional cover from coarse spatial resolution remote sensing imagery. Plant Ecology, 131, 143-154.
16. Foody, G.M., Mcculloch, M.B. & Yates, W.B. (1995) Classification of remotely sensed data by an artificial neural network: issues related to training data characteristics. Photogrammetric Engineering and Remote Sensing, 61, 391-401.
17. Haung, W.Y. & Lippman, R.P. (1988) Comparisons between neural net and conventional classifiers. Proceedings of the International Joint Conference on Neural Networks, San Diego, 4, 485-493.
18. Hebda, R. (1998) Atmospheric change, forests and biodiversity. Environmental Monitoring and Assessment, 49, 195-212.
19. Hecht-Nielson, R. (1991). Neurocomputing, 33 pp. Addison-Wesley, Reading, Massachusetts.
20. Hopkins, M.S., Ash, J., Graham, A.W., Head, J. & Hewett, R.K. (1993) Charcoal evidence of the spatial extent of the Eucalyptus woodland expansion and rain-forest contractions in North Queensland during the late Pleistocene. Journal of Biogeographv, 20, 357-372.
21. Hopkins, M.S., Head, J., Ash, J., Hewett, R.K., & Graham, A.W. (1996) Evidence of Holocene and continuing recent expansion of lowland rain forest in humid, tropical North Queensland. Journal of Biogeography, 23, 737-745.
22. Hudson, W.D. & Ramm, C.W. (1987) Correct formulation of the kappa coefficient of agreement. Photogrammetric Engineering and Remote Sensing, 53, 421-422.
23. IPCC (1996) Climate Change 1995: the science of climate change. Contributions of working group I to the second assessment report of the Intergovernmental Panel on Climate Change (ed. by J.T. Houghton, L.G. Meira Filho, B.A. Callander, N. Harris, A. Kattenberg, & K. Maskell), Cambridge University Press, Cambridge.
24. Kursar, T.A. (1998) Relating tree physiology to past and future changes in tropical rainforest tree communities. Climatic Change, 39, 363-379.
25. Lenihan, J.M. & Neilson, R.P. (1993) A rule-based vegetation formation model for Canada. Journal of Biogeography, 20, 615-628.
26. Lippman, R.P. (1987) An introduction to computing with neural nets. IEEE Acoustic Speech Signal Processing Magazine, 4, 4-22.
27. Markham, A. (1996) Potential impacts of climate change on ecosystems: a review of implications for policy makers and conservation biologists. Climate Research, 6, 179-191.
28. McMahon, J.P., Hutchinson, M.F., Nix, H.A. & Ord, K.D. (1995). ANUCLIM User's Guide, Version 1. Centre for Resource and Environmental Studies, Australian National University, Canberra.
29. Monserud, R.A., Tchebakova, N.M., Kolchugina, T.P. & Denissenko, O.V. (1996) Change in Siberian phytomass predicted for global warming. Silva Fennica, 30, 185-200.
30. Noble, I.R. & Slatyer, R.O. (1978) The effect of disturbance on plant succession. Proc. Ecol. Soc. Aust. 10, 135-145.
31. Paruelo, J.M. & Tomasel, F. (1997) Prediction of functional characteristics of ecosystems: a comparison of artificial neural networks and regression models. Ecological Modelling, 98, 173-186.
32. Peng, C.H. & Apps, M.J. (1998) Simulating carbon dynamics along the boreal forest transect case study in central Canada: 2) Sensitivity to climate change. Global Biogeochemiail Cycles, 12, 393-402.
33. Prentice, I.C. (1986) vegetation responses to past climatic changes. Vegetatio, 67, 131-141.
34. Prentice, I.C., Sykes, M.T. & Cramer, W. (1993) A simulation-model for the transient effects of climate change on forest landscapes. Ecological Modelling, 65, 51-70.
35. Reynolds, J.F., Hilbert, D.W. & Kemp, P. (1993) Scaling ecophysiology from the plant to the ecosystem: a conceptual framework. In: Scaling Physiological Processes: Leaf to Globe (ed. by J. Ehleringer & C. Field), Academic Press, San Diego, pp. 127-140.
36. Richard, M.D. & Lippmann, R.P. (1991) Neural network classifiers estimate Bayesian a posteriori probabilities. Neural Computation, 3, 461-483.
37. Rumelhart, D.E. & McClelland, J.L. (1986). Parallel Distributed Processing: Explorations in the Microstructures of Cognition, 1208 pp. MIT Press, Cambridge, Massachusetts.
38. Schulze, E.D. (1982) Plant life forms and their carbon, water and nutrient relations. Encyclopedia of Plant Physiology 12B, pp. 615-676. Springer-Verlag, Berlin.
39. Shao, G.F., Shugart, H.H. & Smith, T.M. (1995) A role-type model (rope) and its application in assessing climate change impacts on forest landscapes. Vegetatio, 121, 135-146.
40. 2 and climate change on tropical forest soils and biogeochemical cycling. Climatic Change, 39, 337-361.
41. Skidmore, A.K., Turner, B.J., Brinkhof, W. & Knowles, E. (1997) Performance of a neural network: mapping forests using GIS and remotely sensed data. Photogrammetric Engineering and Remote Sensing, 63, 501-514.
42. Smith, M. (1993). Neural Networks for Statistical Modelling, 235 pp. Van Nostrand Reinhold, New York.
43. Smith, T.M., Shugart, H.H., Bo, G.B. & Smith, J.B. (1992) Modeling the potential response of vegetation to global climate-change. Advances in Ecological Research, 22, 93-116.
44. Smith, T.M. & Shugart, H.H. (1993) The transient response of terrestrial carbon storage to a perturbed climate. Nature, 361, 523-526.
45. Smith, T.M., Shugart, H.H. & Woodward, F.I. (1997). Plant Functional Types: Their Relevance to Ecosystem Properties and Global Change, 369 pp. Cambridge University Press, Cambridge.
46. Solomon, A.M. & Kirilenko, A.P. (1997) Climate change and terrestrial biomass: what if trees do not migrate! Global Ecology & Biogeography Letters, 6, 139-148.
47. Solomon, A.M. & Leemans, R. (1997) Boreal forest carbon stocks and wood supply: Past, present and future responses to changing climate, agriculture and species availability. Agricultural and Forest Meteorology, 84, 137-151.
48. Specht, R.L. (1970) Vegetation. The Australian environment (ed. by G.W. Leeper), pp. 44-67. Melbourne University Press, Melbourne.
49. Starfield, A.M. & Chapin, F.S. (1996) Model of transient changes in arctic and boreal vegetation in response to climate and land use change. Ecological Applications, 6, 842-864.
50. 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, Queensland.
51. Tracey, J.G. (1982). The vegetation of the humid tropical region of north Queensland, 124 pp. CSIRO, Melbourne.
52. Vega-Garcia, C., Lee, B.S., Woodward, P.M. & Titus, S.J. (1996) Applying neural network technology to human-caused wildfire occurrence prediction. AI Applications, 10, 9-18.
53. Webb, L.J. (1959) A physiognomic classification of Australian rain forests. Journal of Ecology, 47, 551-570.
54. Webb, L.J. (1968) Environmental relationships of the structural types of Australian rain forest vegetation. Ecology, 49, 296-311.
55. Webb, L.J. (1978) A general classification of Australian forests. Australian Plants, 9, 349-363.
56. Webb, T. III (1986) Is vegetation in equilibrium with climate? How to interpret late-Quaternary pollen data. Vegetatio, 67, 75-92.
57. White, P.S. (1979) Pattern, process, and natural disturbance in vegetation. Botanical Review, 45, 229-299.
58. Woodward, F.I. (1987). Climate and plant distribution, 174 pp. Cambridge University Press, Cambridge.
59. Zheng, D., Hunt, E.R. Jr & Running, S.W. (1996) Comparison of available soil water capacity estimated from topography and soil series information. Landscape Ecology, 11, 3-14.