Akçakaya, H. R., M. Burgman, O. Kindvall, C. C. Wood, P. Sjogren-Gulve, J. Hatfield, and M. McCarthy. 2004. Species conservation and management: case studies. Oxford University Press, New York.

Akçakaya, H. R., S. Ferson, M. A. Burgman, D. A. Keith, G. M. Mace, and C. R. Todd. 2000. Making consistent IUCN classifications under uncertainty. Conservation Biology 14:1001-1013.

Barry, S.C. & Elith, J. (2006) Error and uncertainty in habitat models. Journal of Applied Ecology 43,413-423

Bekessy S. A., Wintle B. A., Banks J., McCarthy M. A., Dorrogh J. & Lowe K. 2006: in press. Tools for biodiversity conservation planning in rural landscapes. Agriculture, Ecosystems and Environment.

Bekessy, S. A., A. C. Newton, J. C. Fox, A. Lara, A. Premoli, M. Cortes, M. Gonzalez, B. Burns, L. Gallo, F. Izquierdo, and M. A. Burgman. 2004. Monkey Puzzle Tree (Araucaria araucana) in southern Chile: effects of timber and seed harvest, volcanic activity and fire. Pages 48-63 in H. R. Akçakaya, M. Burgman, O. Kindvall, C. C. Wood, P. Sjogren-Gulve, J. Hatfield, and M. McCarthy, editors. Species conservation and management: case studies. Oxford University Press, New York.

Bekessy, S. A., D. Sleep, A. Stott, M. Menuccini, P. Thomas, R. A. Ennos, M. A. Burgman, M. F. Gardiner, and A. C. Newton. 2002. Adaptation of Monkey Puzzle to arid environments as indicated by regional differences in stable carbon isotope ratio and allocation to root biomass. Forest Genetics 9:63-70.

Bekessy, S. A., R. A. Ennos, M. A. Burgman, A. C. Newton, and P. K. Ades. 2003. Neutral DNA markers fail to detect genetic divergence in an ecologically important trait. Biological Conservation 110:267-275.

Bekessy, S. A., T. R. Allnutt, A. C. Premoli, A. Lara, R. A. Ennos, M. A. Burgman, M. Cortes, and A. Newton. 2002. Genetic variation in the vulnerable and endemic Monkey Puzzle tree, detected using RAPDs. Heredity 88:243-249.

Belia, S., F. Fidler, and G. Cumming. in press. Researchers misunderstand confidence intervals and standard error bars. Psychological Methods.

Breininger, D. R., M. A. Burgman, H. R. Akçakaya, and M. A. O'Connell. 2002. Use of metapopulations in conservation planning. Pages 405-427 in K. J. Gutzwiller, editor. Applying landscape ecology in biological conservation. Springer-Verlag, New York.

Brook, B. W., J. J. O'Grady, A. P. Chapman, M. A. Burgman, H. R. Akçakaya, and R. Frankham. 2000. How accurate are the predictions of population viability analysis for endangered species conservation? Nature 404:385-387.

Brook, B. W., M. A. Burgman, and R. Frankham. 2000. Differences and congruencies between PVA packages: the importance of sex ratio for predictions of extinction risk. Conservation Ecology 4:6.

Brook, B. W., M. A. Burgman, H. R. Akçakaya, J. J. O'Grady, and R. Frankham. 2002. Critiques of PVA ask the wrong questions: throwing the heuristic baby out with the numerical bathwater. Conservation Biology 16:262-263.

Burgman, M. A. 2000. Are Australian standards for risk analysis good enough? Conserving snails and managing genetically modified plants in fragmented landscapes. (invited paper). Australian Biologist 12:125-137.

Burgman, M. A. 2000. Population viability analysis for bird conservation: theory, practice, models and psychology. Emu 100:347-353.

Burgman, M. A. 2001. Flaws in subjective assessments of ecological risks and means for correcting them. Australian Journal of Environmental Management 8:219-226.

Burgman, M. A. 2002. Are listed threatened plant species actually at risk? Australian Journal of Botany 50:1-13.

Burgman, M. A. 2004. Expert frailties in conservation risk assessment and listing decisions. Pages 20-29 in P. Hutchings, D. Lunney, and C. Dickman, editors. Threatened species legislation: is it just an act? Royal Zoological Society of New South Wales, Mosman, NSW.

Burgman, M. A. 2004. Strategies for plant population modeling. Pages 17-22 in H. R. Akçakaya, M. Burgman, O. Kindvall, C. C. Wood, P. Sjogren-Gulve, J. Hatfield, and M. McCarthy, editors. Species conservation and management: case studies. Oxford University Press, New York.

Burgman, M. A. 2005. Risks and decision for conservation and environmental management. Cambridge University Press, Cambridge.

Burgman, M. A., and H. P. Possingham. 2000. Population viability analysis for conservation: the good, the bad and the undescribed. Pages 97-112 in A. G. Young and G. M. Clarke, editors. Genetics, demography, and viability of fragmented populations. Cambridge University Press, Cambridge.

Burgman, M. A., and J. Fox. 2003. Bias in species range estimates from minimum convex polygons: implications for conservation and options for improved planning. Animal Conservation 6:19-28.

Burgman, M. A., D. B. Lindenmayer, and J. Elith. 2005. Managing landscapes for conservation under uncertainty. Ecology 86:2007-2017.

Burgman, M. A., D. R. Breininger, B. W. Duncan, and S. Ferson. 2001. Setting reliability bounds on habitat suitability indices. Ecological Applications 11:70-78.

Burgman, M. A., H. P. Possingham, A. J. J. Lynch, D. A. Keith, M. A. McCarthy, S. D. Hopper, W. L. Drury, J. A. Passioura, and R. J. DeVries. 2001. A method for setting the size of plant conservation target areas. Conservation Biology 15:603-616.

Burgman, M. A., Lindenmayer, D. B. and Elith, J. 2005. Managing landscapes for conservation under uncertainty. Ecology 86, 2007-2017

Burgman, M., B. Maslin, D. Andrewartha, M. Keatley, C. Boek, and M. McCarthy. 2000. Detecting trends in sighting data: power and an application to Western Australian Acacia species. Pages 7-26 in S. Ferson and M. A. Burgman, editors. Quantitative methods for conservation biology. Springer-Verlag, New York.

Burgman, M.A., Keith, D. A., Hopper, S. D., Widyatmoko, D. and Drill, C. Threat syndromes and conservation of the Australian flora. Biological Conservation (in press).

Carey, J. M. 2004. The variability of estimates of variance: how it can affect power analysis in monitoring design. in G. B. Wiersma, editor. Environmental Monitoring. CRC Press LLC, Boca Raton, Florida.

Carey, J. M., and M. J. Keough. 2002. Composing and subsampling to reduce costs and improve power in benthic infaunal monitoring programs. Estuaries 25:1053-1061.

Carey, J. M., and M. J. Keough. 2002. The variability of estimates of variance, and its effect on power analysis in monitoring design. Environmental Monitoring and Assessment 74:225-241.

Carey, J. M., M. A. Burgman, and Y. E. Chee. 2004. Risk Assessment and the Concept of Ecosystem Condition in Park Management. Parks Victoria, Melbourne, Victoria.

Carey, J. M., M. A. Burgman, C. Miller, and Y. E. Chee. 2005. An application of qualitative risk assessment in park management. Australasian Journal of Environmental Management 12:6-15.

Carey, J., Fox, D., Burgman, M., Chee, Y., Hart, B.T., Pollino, C., Chan, T., White, A., Grace, M., Henderson, B. and Bui, E. 2006. Guidelines for Quantifying the Ecological Risks from Contaminants in Catchments, LWA/MDBC Project UMO43 - Report No 1, Land & Water Australia, Canberra.

Carey, J.M., Beilin, R., Boxshall, A., Burgman, M.A.& Flander, L. In press. Risk-based approaches to deal with uncertainty in a data-poor system: stakeholder involvement in hazard identification for marine national parks and marine sanctuaries in Victoria, Australia. Risk Analysis.

Carey, J.M., Burgman, M.A., Boxshall, A., Beilin, R., Flander, L., Pegler, P. & White, A. In press. Identification of Threats to Natural Values in Victoria’s Marine National Parks and Marine Sanctuaries. Parks Victoria Technical Series No. 33. Parks Victoria, Melbourne.

Chisholm, R. A., and M. A. Burgman. 2004. The Unified Neutral Theory of Biodiversity and Biogeography: Comment. Ecology 85:3172-3174.

Cumming, G., and F. Fidler. 2005. Interval estimates for statistics communication: Problems and possible solutions. in Proceedings of Statistics Education and the Communication of Statistics, International Association for Statistics Education, Sydney, Australia.

Cumming, G., F. Fidler, and N. Thomason. 2002. The statistical re-education of psychology. in B. Phillips, editor. Developing a Statistically Literate Society. Proceedings of ICOTS-6, The Sixth International Conference on Teaching Statistics, 1-6. International Association for Statistical Education, International Statistical Institute, Voorburg, The Netherlands.

Cumming, G., Fidler, F. and Vaux, D.  (in press). Error bars in experimental biology.  Cell Biology.

Cumming, G., Fidler, F., Leonard, M., Kalinowski, P., Christiansen, A., Kleinig, A., Lo, J., McMenamin, N. and Wilson, S. (in press).  Statistical reform in psychology: Is anything changing? Psychological Science.

Cumming, G., J. Williams, and F. Fidler. 2004. Replication, and researchers' understanding of confidence intervals and standard error bars. Understanding Statistics 3:299-311.

Drechsler, M., and M. A. Burgman. 2004. Combining population viability analysis with decision analysis. Biodiversity and Conservation 13:115-139.

Elith, J. & Leathwick, J.R. (accepted) Predicting species' distributions from museum and herbarium records using multiresponse models fitted with multivariate adaptive regression splines. Diversity and Distributions.

Elith, J. 2000. Quantitative methods for modeling species habitat: comparitive performance and an application to Australian plants. in S. Ferson and M. A. Burgman, editors. Quantitative Methods in Conservation Biology. Springer-Verlag, New York.

Elith, J., and M. A. Burgman. 2003. Habitat models for population viability analysis. Pages 203-235 in C. A. Brigham and M. W. Schwartz, editors. Population viability in plants. Springer-Verlag, Berlin.

Elith, J., and M. A. Burgman. in press. Predictions and their validation: rare plants in the Central Highlands, Victoria, Australia. in J. M. Scott, P. J. Heglund, M. Morrison, M. Raphael, J. Haufler, and B. Wall, editors. Predicting Species Occurrences: Issues of Scale and Accuracy. Island Press, Covello, CA.

Elith, J., Graham, C.H., et al. (2006) Novel methods improve prediction of species' distributions from occurrence data. Ecography 29, 129-151

Elith, J., M. A. Burgman, and H. Regan. 2002. Mapping epistemic uncertainties and vague concepts in predictions of species distribution. Ecological Modelling 157:313-329.

Ferrier, S., G. Manion, J. Elith, and K. Richardson. (accepted). Using generalised dissimilarity modelling to analyse and predict patterns of beta-diversity in regional biodiversity assessment. Diversity and Distributions.

Ferson, S., and M. A. Burgman. 2000. Quantitative methods for conservation biology. Springer-Verlag, New York.

Fidler, F. 2002. The 5th edition of the APA Publication Manual: Why its statistics recommendations are so controversial. Educational and Psychological Measurement 62:749-770.

Fidler, F. 2005. Confidence intervals in practice. in Proceedings of the International Statistics Institute, Sydney, Australia.

Fidler, F. and Cumming, G. (in press). Lessons learned from statistical reform efforts in other disciplines. Special Issue: Statistical reform in school psychology (Thomas J. Kehle and Melissa A. Bray, Eds.) Psychology in the Schools.

Fidler, F., and B. Thompson. 2001. Computing Correct Confidence Intervals for ANOVA fixed and random effect sizes. Educational and Psychological Measurement 61:575-604.

Fidler, F., and G. Cumming. 2005. Effect size estimates and confidence intervals: An alternative focus for the presentation and interpretation of ecological data. in A. R. Burk, editor. New Trends in Ecology Research. Nova Science Publishers, Hauppauge, NY.

Fidler, F., and G. Cumming. 2005. Teaching confidence intervals: Problems and potential solutions. in Proceedings of the International Statistics Institute, Sydney, Australia.

Fidler, F., Burgman, M., Cumming, G. Buttrose, R. and Thomason., N. (2006). Impact of criticism of null hypothesis significance testing on statistical reporting practices in conservation biology. Conservation Biology, 20, 1539-1544.

Fidler, F., G. Cumming, M. Burgman, and N. Thomason. 2004. Statistical reform in medicine, psychology and ecology. Journal of Socioeconomics 33:615-630.

Fidler, F., G. Cumming, N. Thomason, D. Pannuzzo, J. Smith, P. Fyffe, H. Edmonds, C. Harrington, and R. Schmitt. 2005. Toward improved statistical reporting in the Journal of Consulting and Clinical Psychology. Journal of Consulting and Clinical Psychology 73:136-143.

Fidler, F., N. Thomason, G. Cumming, S. Finch, and J. Leeman. 2004. Editors can lead researchers to confidence intervals but they can't make them think: Statistical reform lessons from Medicene. Psychological Science 15:119-126.

Fidler, F., N. Thomason, G. Cumming, S. Finch, and J. Leeman. 2005. Still much to learn about confidence intervals. Reply to Rouder and Morey. Psychological Science 16:494-495.

Fox, D., Molloy, R., Rixon, A., Tjandraatmadja, G. & Carey, J. 2006. Review and Statistical Assessment of Trade Waste Data in Victoria. Report to Department of Sustainability and Environment. Australian Centre for Environmetrics, The University of Melbourne, Melbourne.

Fox, J. C., R. Messina, M. A. McCarthy, and M. A. Burgman. 2004. Giant Velvet Worm, Tasmanipatus baretti (Onychophora) in Tasmania, Australia. Pages 150-161 in H. R. Akçakaya, M. Burgman, O. Kindvall, C. C. Wood, P. Sjogren-Gulve, J. Hatfield, and M. McCarthy, editors. Species conservation and management: case studies. Oxford University Press, New York.

Guisan, A., C. H. Graham, J. Elith, F. Huettmann, and NCEAS Species Distribution Modelling Group. (accepted). Sensitivity of predictive species distribution models to change in grain size: insights from a multi-models experiment across five continents. Diversity and Distributions

Handmer, J., C. F. Read, and O. Percovich. 2002. Disaster Loss Assessment: Guidelines. Department of Emergency Services, Brisbane.

Hart, B. T., M. Burgman, M. Grace, P. Pollina, C. Thomas, and A. Webb. in press. Risk-based approaches to managing contaminants in catchments. Human and Ecological Risk Assessment.

Hart, B., M. Burgman, A. Webb, G. Allison, M. Chapman, L. Duivenvoorden, P. Feehan, M. Grace, M. Lund, C. Pollino, J. Carey, and A. McCrea. 2005. Ecological Risk Management Framework for the Irrigation Industry. Water Studies Centre, Monash University, Clayton, Victoria.

Hart, B.T., Burgman, M., Grace, M., Pollino, P., Thomas, C.  and Webb, A. 2006. Risk-based approaches to managing contaminants in catchments. Human and Ecological Risk Assessment 12, 66-73.

Keith, D. A., and M. A. Burgman. 2004. The Lazarus effect: can the dynamics of extinct species lists tell us anything about the status of biodiversity? Biological Conservation 117:41-48.

Keith, D. A., M. A. McCarthy, H. Regan, T. Regan, C. Bowles, C. Drill, B. Pellow, M. A. Burgman, L. L. Master, M. Ruckelshaus, B. MacKenzie, S. J. Andelman, and P. R. Wade. 2004. Protocols for listing threatened species can forecast extinction. Ecology Letters 7:1101-1108.

Leathwick, J.R., Elith, J., & Hastie, T. (2006) Comparative performance of generalized additive models and multivariate adaptive regression splines for statistical modelling of species distributions. Ecological Modelling 199, 188-196.

Leathwick, J.R., Elith, J., Francis, M.P., Hastie, T., & Taylor, P. (2006) Variation in demersal fish species richness in the oceans surrounding New Zealand: an analysis using boosted regression trees. Marine Ecology Progress Series 321, 267-281

Linacre, N. A., A. Stewart-Oaten, M. A. Burgman, and P. K. Ades. 2004. Incorporating collateral data in conservation biology. Conservation Biology 18:768-774.

Lindenmayer, D. B., and M. A. Burgman. in press. Practical conservation biology. CSIRO Press, Melbourne.

Martin, R. A. U., M. A. Burgman, and P. R. Minchin. 2001. Spatial analysis of eucalypt dieback at Corranderrk, Australia. Applied Vegetation Science 4:257-266.

Martin, T. G., B. A. Wintle, S. Low Choy, P. Kuhnert, J. M. Rhodes, S. A. Field, and H. P. Possingham. 2005: in press. Zero tolerance ecology: improving ecological inference by modeling the sources of excess zero observations. Ecology Letters.

Martin, T. G., B. A. Wintle, S. Low Choy, P. Kuhnert, J. M. Rhodes, S. A. Field & H. P. Possingham. 2005. Zero tolerance ecology: improving ecological inference by modeling the sources of excess zero observations. Ecology Letters.8: 1235-1246

McCarthy, M. A., and J. Elith. in press. Species Mapping for Conservation.

McCarthy, M. A., D. Keith, J. Tietjen, M. A. Burgman, M. Maunder, L. Master, B. W. Brook, G. Mace, H. P. Possingham, R. Medellin, S. Andelman, H. Regan, T. Regan, and M. Ruckelshaus. 2004. Comparing predictions of extinction risks using models and subjective judgement. Acta Oecologica 26:67-74.

McCarthy, M. A., K. M. Parris, R. van der Ree, M. J. McDonnell, M. A. Burgman, N. S. G. Williams, N. McLean, M. J. Harper, R. Meyer, A. Hahs, and T. Coates. 2004. The habitat hectares approach to vegetation assessment: an evaluation and suggestions for improvement. Ecological Management and Restoration 5:24-27.

McCarthy, M. A., P. W. Menkhorst, B. R. Quin, I. J. Smales, and M. A. Burgman. 2004. Helmeted Honeyeater (Lichenostomus melanops cassidix) in Southern Australia: assessing options for establishing a new wild population. in H. R. Akçakaya, M. Burgman, O. Kindvall, C. C. Wood, P. Sjogren-Gulve, J. Hatfield, and M. McCarthy, editors. Species conservation and management: case studies. Oxford University Press, New York.

Moilanen, A. & B. A. Wintle. 2006. Uncertainty analysis favours selection of spatially aggregated reserve structures. Biological Conservation. 1290:427-434

Moilanen, A. & B. A. Wintle. 2006: in press. The boundary-quality penalty: a quantitative method for approximating species responses to fragmentation in reserve selection. Conservation Biology.

Moilanen, A., A. M. A. Franco, R. I. Early, R. Fox, B. A. Wintle & C. D. Thomas. 2005. Prioritizing multiple-use landscapes for conservation: methods for large multi-species planning problems. Proceedings of the Royal Society B. 272: 1885-1891

Moilanen, A., B. A. Wintle, J. Elith & M. A. Burgman. 2006: in press. Uncertainty analysis for regional scale reserve selection. Conservation Biology.

Moilanen, A., Runge, M.C., Elith, J., Tyre, D., Carmel, Y., Fegraus, E., Wintle, B., Burgman, M., & Ben-Haim, Y. (2006) Planning for robust reserve networks using uncertainty analysis. Ecological Modelling 199, 115-124.

Moilanen, A., Wintle, B., Elith, J., & Burgman, M. (2006) Uncertainty analysis for regional-scale reserve selection. Conservation Biology 20, 1688-1697.

Nicol, S. J., Barker, R. J., Koehn, J. D. and Burgman, M. A. (in press) Structural habitat selection by the critically endangered trout cod, Macullochella macquariensis. Biological Conservation

O'Grady, J. J., M. A. Burgman, D. A. Keith, L. L. Master, S. J. Andelman, B. W. Brook, G. A. Hammerson, T. Regan, and R. Frankham. 2004. Correlations among extinction risks assessed by different threatened species categorisation systems. Conservation Biology 18:1624-1635.

Paris, M. C. J., A. K. White, A. Reiss, M. West, and F. Schwarzenberger. 2002. Faecal progesterone metabolites and behavioural observations for the non-invasive assessment of oestrous cycles in the common wombat (Vombatus ursinus) and the Southern Hairy-nosed wombat (Lasiorhinus latifrons). Animal Reproduction Science 72:245-257.

Possingham, H. P., S. J. Andelman, M. A. Burgman, R. A. Medellin, L. L. Master, and D. A. Keith. 2002. Limits to the use of threatened species lists. Trends in Ecology and Evolution 17:503-507.

Potts, J. & Elith, J. (2006) Comparing species' abundance models. Ecological Modelling 199, 153-163.

Preece, L. D., J. Elith, et al. (accepted). The environmental determinants of the restricted plant Macrozamia macdonnellii of the MacDonnell Ranges, central Australia. Australian Journal of Botany

Ray, N. and Burgman, M. A. 2006. Subjective uncertainties in habitat suitability maps. Ecological Modelling 195, 172-186.

Read, C. F., I. J. Wright, and M. Westoby. 2005. Scaling up from leaf to canopy - aggregate properties in sclerophyll shrub species. Austral Ecology (in press)

Reed, J. M., H. R. Akçakaya, M. Burgman, D. Bender, S. R. Beissinger, and J. M. Scott. in press. Critical habitat. in J. M. Scott, D. D. Goble, and F. W. Davis, editors. The Endangered Species Act at thirty: Conserving biodiversity in human-dominated landscapes. Island Press.

Regan, H. M., Ben-Haim, Y., Langford, B. Wilson, W. G., Lundberg, P., Andelman, S. J. and Burgman, M. A. 2005. Robust decision making under severe uncertainty for conservation management. Ecological Applications 15, 1471-1477

Regan, H. M., M. Colyvan, and M. A. Burgman. 2000. A proposal for fuzzy International Union for the Conservation of Nature (IUCN) categories and criteria. Biological Conservation 92:101-108.

Regan, H. M., M. Colyvan, and M. A. Burgman. 2002. A taxonomy and treatment of uncertainty for ecology and conservation biology. Ecological Applications 12:618-628.

Regan, H. M., R. Lupia, A. N. Drinnan, and M. A. Burgman. 2001. The currency and tempo of extinction. American Naturalist 157:1-10.

Regan, H. M., T. D. Auld, D. A. Keith, and M. A. Burgman. 2003. The effects of fire and predators on the long-term persistence of an endangered shrub, Grevillea caleyi. Biological Conservation 109:73-83.

Regan, H. M., Y. Ben-Haim, B. Langford, W. G. Wilson, P. Lundberg, S. J. Andelman, and M. A. Burgman. in press. Robust decision making under severe uncertainty for conservation management. Ecological Applications.

Regan, T. J., H. M. Regan, K. Bonham, R. J. Taylor, and M. A. Burgman. 2001. Modelling the impact of timber harvesting on a rare carnivorous land snail (Tasmaphena lamproides) in northwest Tasmania, Australia. Ecological Modelling 139:253-264.

Taylor, R. J., T. Regan, H. Regan, M. Burgman, and K. Bonham. 2003. Impacts of plantation development, harvesting schedules and rotation lengths on the rare snail Tasmaphena lamproides in northwest Tasmania: a population viability analysis. Forest Ecology and Management 175:455-466.

Thompson, C. J., B. J. P. Thompson, and M. A. Burgman. 2003. Risks from competitively inferior immigrant populations: implications of mass effects for species conseration. Conservation Biology 17:901.

Thompson, C. J., B. J. P. Thompson, P. K. Ades, R. Cousens, P. Garnier-Gere, K. Landman, E. Newbigin, and M. A. Burgman. 2003. Model-based analysis of the likelihood of gene introgression from genetically modified crops into wild relatives. Ecological Modelling 162:199-209.

Todd, C. R., P. Inchausti, S. Jenkins, M. A. Burgman, and M. P. Ng. 2001. Structural uncertainty in stochastic population models: delayed development in the eastern barred bandicoot, Perameles gunnii. Ecological Modelling 136:237-254.

Venier L.A., Pearce J.L., Wintle B.A. & Bekessy S.A. 2006: in press. Future forests and indicator-species population models. The Forestry Chronicle

Westoby, M. and Burgman, M. 2006. Climate change as a threatening process. Austral Ecology 31, 549–550.

Widyatmoko, D., Burgman, M. A., Guhardja, E., Mogea, J. P., Walujo, E. B. and Setiadi, D. 2005. Population status, demography and habitat preferences of the threatened lipstick palm Cyrtostachys renda Blume in Kerumutan Reserve, Sumatra. Acta Oecologica 28, 107-118.

Williams, J., C. Read, A. Norton, S. Dovers, M. Burgman, W. Proctor, and H. Anderson. 2001. Biodiversity: Australia State of the Environment Report 2001 (Theme Report). CSIRO Publishing, Department of the Environment and Heritage, Canberra.

Wilson, K., A. Newton, C. Echeverría, C. Weston, and M. Burgman. 2005. A vulnerability analysis of the temperate forests of south central Chile. Biological Conservation 122:9-21.

Wilson, K., Pressey, R. L., Newton, A., Burgman, M., Possingham, H. and Weston, C. 2005. Measuring and incorporating vulnerability into conservation planning. Environmental Management 35, 527-543.

Wintle B. A. & D. C. Bardos. 2006: in press. Modelling species habitat relationships with spatially autocorrelated observation data. Ecological Applications.

Wintle B. A., Bekessy S. A., Veneir L. A. & Pearce J. L. 2005. The utility of dynamic landscape meta-population models for sustainable forest management: the Brown Creeper. Conservation Biology. 19:1930-1943

Wintle B. A., M. A. McCarthy, C. T. Volinsky & R. P. Kavanagh. 2003. The use of Bayesian model averaging to better represent uncertainty in the predictions of ecological models. Conservation Biology. 17: 1579-1590.

Wintle B. A., M. A. McCarthy, K. P. Parris, & M. A. Burgman. 2004. Precision and bias of methods for estimating point survey detection probabilities.Ecological Applications. 14: 703-712

Wintle B. A., R. J. Elith & Potts, J. 2005. Fauna habitat modelling and mapping; A review and case study in the Lower Hunter Central Coast region of NSW. Austral Ecology. 30: 719-738

Wintle B. A., R. P. Kavanagh, M. A. McCarthy & M. A. Burgman. 2005. The magnitude and management consequences of false negative observation error in surveys of arboreal marsupials and large forest owls. Journal of Wildlife Management. 69: 905-917.

Wintle, B. A., and D. B. Bardos. accepted. Modelling species habitat relationships with spatially autocorrelated observation data. Ecological Applications.

Wintle, B. A., Elith, R. J. Yamada, K. & Burgman, M. A. 2004. Lower Hunter & Central Coast Regional Biodiversity Conservation Strategy, Technical Report, LHCCREMS fauna survey and mapping project, Module 2: Habitat modelling and conservation requirements. Lower Hunter & Central Coast Regional Environmental Management Strategy, Callaghan, NSW, Australia.

Wintle, B. A., J. Elith, and J. Potts. 2005: in press. Fauna habitat modelling and mapping; A review and case study in the Lower Hunter Central Coast region of NSW. Austral Ecology 30.

Wintle, B. A., Kavanagh, R. P., McCarthy, M. A. and Burgman, M. A. 2005. Estimating and dealing with detectability in occupancy surveys for forest owls and arboreal mammals. Journal of Wildlife Management 69, 905-917.

Wintle, B. A., M. A. McCarthy, C. T. Volinsky, and R. P. Kavanagh. 2003. The use of Bayesian Model Averaging to better represent the uncertainty in ecological models. Conservation Biology 17:1579-1590.

Wintle, B. A., M. A. McCarthy, K. P. Parris, and M. A. Burgman. 2004. Precision and bias of methods for estimating point survey detection probabilities. Ecological Applications 14:703-712.

Wintle, B. A., R. P. Kavanagh, M. A. McCarthy, and M. A. Burgman. 2005: in press. Estimating and dealing with detectability in occupancy surveys for forest owls and arboreal marsupials. Journal of Wildlife Management.

Wintle, B. A., S. A. Bekessy, J. L. Pearce, L. A. Veneir, and R. A. Chisholm. 2005: in press. Utility of Dynamic Landscape Metapopulation Models for Sustainable Forest Management. Conservation Biology.

Yamada, K., J. Elith, M. A. McCarthy, and A. Zerger. 2003. Eliciting and integrating expert knowledge for wildlife habitat modelling. Ecological Modelling 165:251-264.

Yamada, K., M. Ansari, R. Harrington, D. Morgan, and M. A. Burgman. 2004. Sindh Ibex (Capra aegagrus blythi) in Kirthar National Park, Pakistan: sensitivity of a habitat and population model. Pages 469-481 in H. R. Akçakaya, M. Burgman, O. Kindvall, C. C. Wood, P. Sjogren-Gulve, J. Hatfield, and M. McCarthy, editors. Species conservation and management: case studies. Oxford University Press, New York.