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Literature Cited
Agresti A (1996) An introduction to categorical data analysis. John Wiley and Sons, New York
Akçakaya HR, Atwood JL (1997) A habitat-based metapopulation model of the California Gnatcatcher. Conservation Biology 11:422–434
Aleksander I, Morton H (1990) An introduction to neural computing. Chapman and Hall, London
Attiwill PM (1994) The disturbance of forest ecosystems: the ecological basis for conservative management. Forest Ecology and Management 63:247–300
Austin MP (1985) Continuum concept, ordination methods and niche theory. Annual Review of Ecology and Systematics 16:39–61
Austin MP, Meyers JA (1995) Modelling of landscape patterns and processes using biological data. Subproject 4: real data case study. CSIRO, Division of Wildlife and Ecology, Canberra, Australia
Austin MP, Meyers JA (1996) Current approaches to modelling the environmental niche of Eucalypts: implications for management of forest biodiversity. Forest Ecology and Management 85:95–106
Austin MP, Cunningham RB, Good RB (1983) Altitudinal distribution in relation to other environmental factors of several Eucalypt species in southern New South Wales. Australian Journal of Ecology 8:169–80
Austin MP, Cunningham RB, Fleming PM (1984) New approaches to direct gradient analysis using environmental scalars and statistical curve-fitting procedures. Vegetatio 55:11–27
Austin MP, Nicholls AO, Margules CR (1990) Measurement of the realised qualitative niche: environmental niches of five Eucalypt species. Ecological Monographs 60:215–228
Austin MP, Nicholls AO, Doherty MD, Meyers JA (1994a) Determining species response functions to an environmental gradient by means of a beta-function. Journal of Vegetation Science 5:215–228
Austin MP, Meyers JA, Doherty MD (1994b) Predictive models for landscape patterns and processes. Subproject 2: modelling of landscape patterns and processes using biological data. Division of Wildlife and Ecology, CSIRO, Canberra, Australia
Bio AMF, Alkemande R, Barendregt A (1998) Determining alternative models for vegetation response analysis—a non-parametric approach. Journal of Vegetation Science 9:5–16
Booth GD, Niccolucci MJ, Schuster EG (1994) Identifying proxy sets in multiple linear regression: an aid to better coefficient interpretation. Research Paper INT-470. Intermountain Research Station, USDA Forest Service, Ogden, UT
Box EO, Crumpacker DW, Hardin ED (1993) A climatic model for location of plant species in Florida, USA. Journal of Biogeography 20:629–644
Brieman L, Friedman JH, Olshen RA, Stone CJ (1984) Classification and regression trees. Wadsworth International Group, Belmont, CA
Burgman MA (1989) The habitat volumes of scarce and ubiquitous plants: a test of the model of environmental control. The American Naturalist 133:228–239
Busby JR (1986) A biogeographic analysis of Nothofagus cunninghamii (Hook) Oerst in south-eastern Australia. Australian Journal of Ecology 11:1–7
Carpenter G, Gillison AN, Winter J (1993) DOMAIN: a flexible modelling procedure for mapping potential distributions of plants and animals. Biodiversity and Conservation 2:667–680
Chatfield C (1995) Model uncertainty, data mining and statistical inference. Journal of the Royal Statistical Society Series A 158:419–466
CIFOR (1999) http://www.cgiar.org/cifor/research/intro_d.html. Centre for International Forestry Research, Bogor, Indonesia
Coates F (1996) Ecological and biogeographical correlates of rarity in two narrow endemics in Tasmania, Spyridium microphyllum (F Muell ex Reisseck) Druce and Spyridium obcordatum (Hook) WM Curtis. PhD thesis, University of Tasmania, Hobart, Tasmania, Australia
Corsi F, Duprè E, Boitani L (1999) A large-scale model of wolf distribution in Italy for conservation planning. Conservation Biology 13:150–159
Crance JH (1987) Guidelines for using the Delphi technique to develop habitat suitability index curves. U.S. Fish and Wildlife Service, Biological Report 82 10134. Department of the Interior, Washington, DC
CRES (1999) ANUCLIM documentation. http://cres.anu.edu.au/software/anuclim.html
DeLong ER, DeLong DM, Clarke-Pearson DL (1988) Comparing the area under two or more receiver operating characteristic curves: a non-parametric approach. Biometrics 44:837–845
Elith J, Burgman MA (in review) Predictions and their validation: rare plants in the Central Highlands, Victoria, Australia. In: Scott JM, Heglund P, Wall W, Samson F, Haufler J. (eds) Proceedings of “Predicting Species Occurrences: Issues of Scale and Accuracy” conference, Snowbird, Utah, USA
Elith J, Burgman MA, Minchin P (1998) Improved protection strategies for rare plants: consultancy report for Environment Australia Project FB-NP22. Environment Australia, Canberra, Australia
ERIN (1995) http://www.erin.gov.au/general/biodiv_model/ERIN/GARP/home.html. Environment Australia
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 prepared by the NSW National Parks and Wildlife Service for Department of Environment, Sport and Territories, Australia, Canberrra, Australia
Fielding AH, Bell JF (1997) A review of methods for the assessment of prediction errors in conservation presence/absence models. Environmental Conservation 24:38–49
Gaston KJ (1994) Rarity. Chapman and Hall, London
Gong P, Pu R, Chen J (1996) Mapping ecological land systems and classification uncertainties from digital elevation and forest-cover data using neural networks. Photogrammetric Engineering and Remote Sensing 62:1249–1260
Gray PA, Cameron D, Kirkham I (1996) Wildlife habitat evaluation in forested ecosystems: some examples from Canada and the United States. In: DeGraaf RM, Miller RI (eds) Conservation of faunal diversity in forested landscapes. Chapman and Hall, New York, pp 407–533
Guisan A (1998) Predicting the potential distribution of plant species in an alpine environment. Journal of Vegetation Science 9:65–74
Hanley JA, McNeil BJ (1982) The meaning and use of the area under a receiver operating characterisitc (ROC) curve. Radiology 143:29–36
Harrell FE, Lee KL (1984) Regression modelling strategies for improved prognostic prediction. Statistics in Medicine 3:143–152
Harrell FE, Lee KL, Mark DB (1996) Multivariate prognostic models: issues in developing models, evaluating assumptions and adequacy, and measuring and reducing errors. Statistics in Medicine 15:361–387
Hastie TJ, Tibshirani RJ (1990) Generalized additive models. Chapman and Hall, London
Hosmer DW, Lemeshow S (1989) Applied logistic regression. John Wiley and Sons, New York
Keith DA, Bedward M (1999) Native vegetation of the South East Forests region, Eden, New South Wales. Cunninghamia 6:1–218
Jongman RH, ter Braak CJF, van Tongeren OFR (1995) Data analysis in community and landscape ecology, 2nd ed. Cambridge University Press, Wageningen, The Netherlands
Legendre L, Legendre P (1998) Numerical ecology, 2nd ed. Elsevier, New York
Lindenmayer DB, Cunningham RB, Tanton MT, Smith AP, Nix HA (1990a) The conservation of arboreal marsupials in the montane ash forests of the central highlands of Victoria, south-east Australia: I. Factors influencing the occupancy of trees and hollows. Biological Conservation 54:111–131
Lindenmayer DB, Cunningham RB, Tanton MT, Smith AP, Nix HA (1990b) The habitat requirements of the Mountain Brushtail Possum and the Greater Glider in the montane ash forests of the central highlands of Victoria. Wildlife Research 17:467–478
Lindenmayer DB, Cunningham RB, Tanton MT, Smith AP, Nix HA (1991a) The conservation of arboreal marsupials in the montane ash forests of the central highlands of Victoria, south-east Australia: III Models of the habitat requirements of Leadbeater’s Possum and the diversity and abundance of arboreal marsupials. Biological Conservation 56:295–315
Lindenmayer DB, Nix HA, McMahon JP, Hutchinson MF, Tanton MT (1991b) The conservation of Leadbeater’s Possum, Gymnobelideus leadbeateri (McCoy): a case study of the use of bioclimatic modelling. Journal of Biogeography 18:371–383
Lynn H, Mohler CL, DeGloria SD, McCulloch CE (1995) Error assessment in decision-tree models applied to vegetation analysis. Landscape Ecology 10:323–335
Main AR (1984) Rare species, problems of conservation. Search 15:93–97
Mastrorillo S, Lek S, Dauba F (1997) Predicting the abundance of minnow Phoxinus phoxinus (Cyprinidae) in the River Ariege (France) using artificial neural networks. Aquatic Living Resources 10:169–176
MathSoft (1995) S-PLUS guide to statistical and mathematical analysis, version 3.3. StatSci Division, MathSoft, Inc, Seattle, WA
McCullagh P, Nelder JA (1989) Generalized linear models, 2nd ed. Chapman and Hall, London
McIntyre S, Lavorel S (1994) Predicting richness of native, rare, and exotic plants in response to habitat and disturbance variables across a variegated landscape. Conservation Biology 8:521–531
Metz CE (1978) Basic principles of ROC analysis. Seminars in Nuclear Medicine 8:283–298
Mitchell M (1996) An introduction to genetic algorithms. MIT Press, Cambridge, MA
Mitchell ND (1992) The derivation of climate surfaces for New Zealand, and their application to the bioclimatic analysis of the distribution of Kauri (Agathis australis). Journal of the Royal Society of New Zealand 21:13–24
Nix H (1986) A biogeographic analysis of Australian elapid snakes In: Longmore R (ed) Atlas of elapid snakes of Australia. Australian Government Publishing Service, Canberra, Australia, pp 4–15
Pan D, Bouchard A, Legendre P, Domon G (1998) Influence of edaphic factors on the spatial structure of island halophytic communities, a case study in China. Journal of Vegetation Science 9:797–804
Prober SM, Austin MP (1990) Habitat peculiarity as a cause of rarity in Eucalyptus paliformis. Australian Journal of Ecology 16:189–205
Rand GM, Newman JR (1998) The applicability of habitat evaluation methodologies in ecological risk assessment. Human and Ecological Risk Assessment 4:905–929
Reading RP, Clark TA, Seebeck JH, Pearce J (1996) Habitat suitability index model for the Eastern Barred Bandicoot, Perameles gunnii. Wildlife Research 23:221–235
Richardson DM, McMahon JP (1992) A bioclimatic analysis of Eucalyptus nitens to identify potential planting regions in southern Africa. South African Journal of Science 88:380–387
Schamberger ML, O’Neil LJ (1984) Concepts and constraints of habitat-model testing. In: Verner J, Morrison ML, Ralph CJ (eds) Wildlife 2000: modeling habitat relationships of terrestrial vertebrates. Based on an international symposium held at Stanford Sierra Camp, Fallen Leaf Lake, CA. University of Wisconsin Press, Madison, WI, pp 5–10
S-News (1999) Website for functions available for use with MathSoft’s S-PLUS statistics program. http://www.biostat.wustl.edu/s-news
Sokal RR, Rohlf FJ (1981) Biometry: the principles and practice of statistics in biological research, 2nd ed. WH Freeman and Co, New York
Stockwell DRB, Noble IR (1992) Induction of sets of rules from animal distribution data: a robust and informative method of data analysis. Mathematics and Computers in Simulation 33:385–390
Swets JA (1988) Measuring the accuracy of diagnostic systems. Science 240:1285–1293
ter Braak CJF (1986) Canonical correspondence analysis, a new eigenvector technique for multivariate direct gradient analysis. Ecology 67:1167–1179
USFWS (1980) Habitat evaluation procedures. ESM 102 Release 2–80. U.S. Fish and Wildlife Service, Department of the Interior, Washington, DC
Van Horne B (1983) Density as a misleading indicator of habitat quality. Journal of Wildlife Management 47:893–901
Van Horne B, Wiens JA (1991) Forest bird habitat suitability models and the development of general habitat models. Fish and Wildlife Research 8. U.S. Department of the Interior, Fish and Wildlife Service, Washington, DC
Wiser SK, Peet RK, White PS (1996) High-elevation rock outcrop vegetation of the southern Appalachian Mountains. Journal of Vegetation Science 7:703–722
Yee TW, Mitchell ND (1991) Generalized additive models in plant ecology. Journal of Vegetation Science 2:587–602
Zweig MH, Campbell G (1992) Receiver-operating characteristic (ROC) plots: a fundamental evaluation tool in clinical medicine. Clinical Chemistry 39:561–577
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Elith, J. (2000). Quantitative Methods for Modeling Species Habitat: Comparative Performance and an Application to Australian Plants. In: Quantitative Methods for Conservation Biology. Springer, New York, NY. https://doi.org/10.1007/0-387-22648-6_4
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