1. Lahoz-Monfort, J. Guillera-Arroita G., Wintle B. A. 2014. Imperfect detection impacts the performance of species distribution models. Global Ecology and Biogeography.
  2. Lee T. E, M. A. McCarthy, B. A. Wintle, M. Bode, D. L. Roberts and M. A. Burgman. 2014. Inferring extinctions from sighting records of variable reliability. Journal of Applied Ecology.
  3. Jellinek S., Rumpff R., Driscoll D.A., Parris K.M, Wintle B.A. 2014. Modelling the benefits of habitat restoration in socio-ecological systems. Biological Conservation 169: 60-67
  4. Lindenmayer D.B., Piggott M.P., Wintle B.A. 2013. Counting the books while the library burns: why conservation monitoring programs need a plan for action. Frontiers in Ecology and the Environment 11: 549-555
  5. Wintle B. A., Walshe, T. V., Parris, K.M. & McCarthy, M. A. 2013. Making sense of species occupancy data when detection is imperfect. Diversity and Distributions. 18:417-424
  6. Guissan A.,, Wintle B.A., …Buckley, Y. 2013. Predicting species distributions for conservation decisions. Ecology Letters. 16:1424–1435
  7. Crase B., A. C. Liedloff, P. A. Vesk, M. Burgman, and B. A. Wintle. 2013. Hydroperiod is the main driver of the spatial pattern of dominance in mangrove communities. Global Ecology & Biogeography. 22: 806–817
  8. Wilson J.N., Bekessy S.A., Parris, K.M., Gordon, A., Heard, G.W., Wintle, B.A. 2013. Impacts of climate change and urban development on the spotted marsh frog (Limnodynastes tasmaniensis).  Austral Ecology 38: 11-22.
  9. Saunders D.A., Wintle B.A., Mawson P.R., Dawson R. 2013. Egg-laying and rainfall synchrony in an endangered bird species: Implications for conservation in a changing climate. Biological Conservation. 161: 1-9.
  10. Salomon Y., McCarthy, M.A., Taylor, P., Wintle, B.A. 2013. Incorporating Uncertainty of Management Costs in Sensitivity Analyses of Matrix Population Models. Conservation Biology 27: 134-144.
  11. Bekessy S.A., White, M., Gordon, A., Moilanen, A., Mccarthy, M.A.,  Wintle, B.A. 2013.  Transparent planning for biodiversity and development in the urban fringe. Landscape And Urban Planning  108: 140-149.
  12. Peer G.A., et al.  Wintle B.A., Henle K. 2013. A protocol for better design, application, and communication of population viability analyses. Conservation Biology. In press.
  13. Fordham, D.A., Akcakaya, H.R., Araujo, M.B., Elith, J., Keith, D.A., Pearson, R., Auld, T.D., Mellin, C., Morgan, J.W., Regan, T.J., Tozer, M., Watts, M.J., White, M.,  Wintle, B.A., Yates, C., Brook, B.W. 2012. Plant extinction risk under climate change: are forecast range shifts alone a good indicator of species vulnerability to global warming? Global Change Biology 18: 1357-1371.
  14. Solow A., Smith W., Burgman M., Rout T., Wintle B.A. & Roberts D. 2012. Uncertain sightings and the extinction of the Ivory-billed woodpecker. Conservation Biology. 26: 180-184.
  15. Wintle B.A., Bekessy S.A., Keith D.A. et al. 2011. Ecological-economic optimization of biodiversity conservation under climate change. Nature Climate Change. Online.
  16. Gordon, A. Wintle, B. A., Bekessy, S. A., Pearce, J. L, Venier, L. A. (accepted). Modelling uncertainty about the impacts of environmental change on wildlife: Fire, forestry and the red-backed salamander. Canadian Journal of Forestry.
  17. Wintle B.A., Runge M. & Bekessy S.A. 2010. Allocating monitoring effort in the face of unknown unknowns. Ecology Letters, 13, 1325–1337
  18. Crase B., Liedloff A.C. & Wintle B.A. (accepted). A new method for dealing with residual spatial autocorrelation in species distribution models. Ecography.
  19. Sebastián-González E., Botella F., Sánchez-Zapata J.A., Figuerola J., Hiraldo F. & Wintle B.A. 2011. Linking cost efficiency evaluation with population viability analysis to prioritize wetland bird conservation projects. Biological Conservation. 144: 2354–2361
  20. Chisholm R. & Wintle B.A. 2011. Choosing ecosystem service investments that are robust to uncertainty. Ecological Applications. In press.
  21. Bekessy S.A., Wintle B.A., et al. Burgman M.A. 2010. The biodiversity bank must not be a lending bank. Conservation Letters. 3:151-158.
  22. Kearney M. A., Wintle B.A. & Porter W. P. 2010. Independent species distribution models make robust predictions of climate change impacts on a folivorous mammal. Conservation Letters. 3:203-213.
  23. En Chee Y. & Wintle B.A. 2010. A Bayesian model-based framework for monitoring and managing population control. Journal of Applied Ecology, 47, 1169–1178
  24. Rumpff L., Duncan D, Vesk P., Keith D.A. & Wintle B.A. 2011. State-and-transition modelling Adaptive Management of native woodlands. Biol. Conservation, 144, 1224-1236
  25. Czembor C.A., Morris W.K., Wintle B.A. & Vesk P.A. 2011 Quantifying variance components in ecological models based on expert opinion. J. Applied Ecology. In press.
  26. Hodgson J.A., Moilanen A., Wintle B.A. & Thomas C.D. 2011. Habitat area, quality and connectivity: striking the balance for efficient conservation. J. Appl. Ecology, 48, 148-152
  27. McDonald-Madden, E. et al. & Wintle B.A. 2010. Active adaptive conservation of threatened species in the face of uncertainty. Ecological Applications 20:1476–1489.
  28. Catford J.A., Vesk P.A., White M. & Wintle B.A. 2011. Hotspots of plant invasion predicted by propagule pressure and ecosystem characteristics Diversity and distributions. (accepted)
  29. Solow A., Smith W., Burgman M., Rout T., Wintle B.A. & Roberts D. 2011. Uncertain sightings and the extinction of the Ivory-billed woodpecker. Conservation Biology. (accepted)
  30. Possingham H.P., Fuller R.A., Joseph L.N. & Wintle B.A. 2011. Choosing among long-term ecological monitoring programs and knowing when to stop. In: Long term ecological monitoring, (Lindenmayer, D.B, Ed). CSIRO Publishing Canberra.
  31. Visconti, P., R. L. Pressey, D. B. Segan, & Wintle B. A. 2010. Conservation planning with dynamic threats: the role of spatial design and priority setting for species persistence. Biological Conservation.143:756-767.
  32. Glen, A. S., Pennay, M., Dickman, C. R., Wintle, B. A. & Firestone, K. B. 2010. Diets of sympatric native and introduced carnivores in the Barrington Tops. Austral Ecology
  33. McDonald-Madden E., A. Gordon, B. A. Wintle, H. Grantham, S. Walker, S. Carvalho, M. Bottrill, L. Joseph, and H. P. Possingham. 2009. Reporting on ‘true’ conservation progress. Science 323:43-44.
  34. Betts, M. G., L. Ganio, M. Huso, B. A. Wintle. 2009. The ecological importance of space in species distribution models: A comment on Dormann et al. Ecography 32:1-5.
  35. Bekessy, S. A., B. A. Wintle, A. Gordon, et al. and M. A. Burgman. 2009. Modelling human impacts on the Tasmanian wedge-tailed eagle (Aquila audax fleayi). Biological Conservation 142:2438-2448
  36. Hodgson J., C. D. Thomas, B. A. Wintle, and A. Moilanen. 2009. Climate change, connectivity and conservation decision making – back to basics. Journal of Applied Ecology 46:964-969.
  37. Bode M., and B. A. Wintle. 2009. How to build an efficient conservation fence. Conservation Biology 24:182-188.
  38. Burgman M. A., B. A. Wintle, et al. and Y. Ben-Haim. 2009. Uncertainty analysis for Bayes nets: reconciling cost and environmental benefit in invasive species management. Risk Analysis online early.
  39. van Wilgen, N. J., R. J. Elith, J. R. Wilson, B. A. Wintle, and D. Richardson. 2009. Alien invaders and reptile traders: What drives the live animal trade in South Africa? Animal Conservation in press.
  40. Bode M., T. Rout, C. Hawkins & B. A. Wintle. 2009. Efficiently locating conservation boundaries: Searching for the Tasmanian devil facial tumour disease front. Biological Conservation. 142:1333-1339
  41. Wintle B.A. & D.B. Lindenmayer. 2008. Adaptive risk management for certifiably sustainable forest management. Forest Ecology and Management 256:1311-1319.
  42. Wintle B.A. 2008. Adaptive management, population modeling and uncertainty analysis for assessing the impacts of noise on cetacean populations. Int. J. Comp. Psy. 20:237-249.
  43. Garrard G., S. Bekessy, M. McCarthy & BA. Wintle. 2008. When have we looked hard enough? A novel method for setting minimum survey effort protocols for flora surveys. Aust.Ecol. 33:986-998.
  44. Chades, I., E. McDonald-Madden, M. McCarthy, B.A. Wintle & H.P. Possingham. 2008. Save, survey or surrender: management of cryptic threatened species. Proc. Nat. Acad. Sci. 105:13936-.
  45. Bekessy, S. A., and B. A. Wintle. 2008. Using carbon investment to grow the biodiversity bank. Conservation Biology 22:510-513.
  46. Bekessy, S. A., B. A. Wintle, A. Gordon, R. Chisholm, L. A. Venier, and J. L. Pearce. 2008. Dynamic landscape metapopulation models and sustainable forest management. Pages 473-499 in J. J. Millspaugh and F. R. Thomson, eds. Models for Planning Wildlife Conservation in Large Landscapes. Academic Press.
  47. Duncan, D., and B. A. Wintle. 2008. Towards adaptive management of native vegetation in regional landscapes. in C. Pettit, et al., eds. Landscape Analysis and Visualisation. Springer – Verlag GmbH, Berlin.
  48. Ferrier S., and B. A. Wintle. 2008. Quantitative approaches to spatial conservation prioritization: matching the solution to the need. In A. Moilanen, et. al., eds. Quantitative conservation planning. Elsevier.
  49. Southwell D.M., A. Lechner, T. Coates & B.A. Wintle. 2008. The sensitivity of PVA to uncertainty about habitat requirements: Implications for the management of the endangered Southern Brown Bandicoot. Conservation Biology 22:1045-1054.
  50. Gibbons P., C. Zammit, et al and B. A. Wintle. 2008. Some practical suggestions for improving engagement; NRM researchers and policy-makers. Ecological Management & Restoration 9: 182-186
  51. Chisholm R.A., and B.A. Wintle. 2007. Landscape stochasticity in population viability analysis. Ecological Applications. 17:317-322
  52. Moilanen, A., and B.A. Wintle. 2007. Quantitative reserve network aggregation via the boundary quality penalty. Conservation Biology. 21:355-364
  53. Fox, D.R., Y. Ben-Haim, K. Hayes, M. A. McCarthy, B. A. Wintle, and P. Dunstan. 2007. An info-gap approach to power and sample size. Environmentrics 18:189-207.
  54. Venier, L. A., J. L. Pearce, B. A. Wintle, and S. A. Bekessy. 2007. Future forests and indicator species population models. The Forest Chronicle 83:36-40.
  55. Walshe, T.V., B.A. Wintle, F. Fidler, & M.A. Burgman. 2007. Use of confidence intervals to demonstrate performance against forest management standards. For. Ecol. & Man. 247:237-245.
  56. Moilanen, A., and B. A. Wintle. 2006. Uncertainty analysis favors selection of spatially aggregated reserve networks. Biological Conservation 129:427-434.
  57. Wintle B.A. & D.B. Bardos. 2006. Modelling species habitat relationships with spatially autocorrelated observation data. Ecological Applications 16:1945-1958.
  58. Moilanen, A., B.A. Wintle, J. Elith, & M.A. Burgman. 2006. Uncertainty analysis for large-scale reserve selection. Conservation Biology 20:1688-1697.
  59. Wintle B.A., S.A. Bekessy, J.L. Pearce, L.A. Veneir & R.A. Chisholm. 2005. Dynamic landscape metapopulation models for sustainable forest management. Conservation Biology 19:1930-1943.
  60. Wintle B.A., J. Elith, and J. Potts. 2005. Fauna habitat modelling and mapping; A review and case study in the Lower Hunter Central Coast of NSW. Austral Ecology 30:719-738.
  61. Wintle, B. A., R. P. Kavanagh, M. A. McCarthy, & M. A. Burgman. 2005. Estimating and dealing with detectability in occupancy surveys for forest owls and arboreal marsupials. J. Wildlife Man. 69:905-917.
  62. Martin T. G., B. A. Wintle, S. Low Choy, P. Kuhnert, J. M. Rhodes, S. A. Field, and H. P. Possingham. 2005. Zero tolerance ecology: improving ecological inference by modeling the sources of excess zero observations. Ecology Letters 8:1235-1246.
  63. Moilanen A., A.M.A. Franco, R.I. Early, R. Fox, B.A. Wintle, and 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.
  64. Wintle B.A., M.A. McCarthy, K.P. Parris, & M.A. Burgman. 2004. Precision and bias of methods for estimating point survey detection probabilities. Ecol.Applications 14:703-712.
  65. Wintle B. A., M. A. McCarthy, C. T. Volinsky, & R. P. Kavanagh. 2003. The use of Bayesian Model Averaging to better represent the uncertainty in ecological models. Conservation Biology 17:1579-1590.

Reports and other papers

  1. Bekessy S. A., and B. A. Wintle. 2006. More than one route to PhD success. Nature 443:720.
  2. Wintle B.A. 2008. A review of biodiversity investment prioritization tools. A report to the Biodiversity Expert Working Group: Investment Framework for Environmental Resources.
  3. Burgman, M. A., Wilson, K. & Wintle, B. A. 2007. Review of the Australian Natural Heritage Assessment Tool. University of Melbourne, Melbourne, Australia.
  4. Bekessy, S. A., B. A. Wintle, C. Riddinghton, M. Buxton, and M. White. 2007. Change and Continuity in Peri-Urban Australia: Trends in Biodiversity and Vegetation. Land &Water Australia, Canberra.
  5. Fox, J. C., T. J. Regan, S. A. Bekessy, B. A. Wintle et al. 2004. Linking landscape ecology and management to population viability analysis. University of Melbourne, Melbourne.
  6. Walshe, T. V., and B. A. Wintle. 2006. Guidelines for communicating performance against standards in forest management. Forest and Wood Products Research & Development Corporation, Canberra.
  7. Wintle, B. A., Elith, R. J. Yamada, K. & Burgman, M. A. 2004. Modelling priority species habitat requirements. Lower Hunter & Central Coast Biodiversity Strategy. Hunter Region Councils, NSW.
  8. Possingham, H. P., Bekessy, S. A., et al. & Wintle, B. A. 2009. Review of the Great Eastern Ranges Science Case. Commissioned Report. Department of Environment Water, Heritage and the Arts. Canberra.
  9. Chee, Y., Parris, K. M. & Wintle, B. A. 2011. Methodologies and Tools for Strategic Assessments under the EPBC Act. A report to the Department of Sustainability, Environment, Water, Communities and Population. April 2011.
  10. Garrard, G. E. & Wintle, B. A. 2011. Minimum survey effort requirements for impact assessments under the EPBC Act 1999: A review of methods for estimating and managing detectability in biological surveys. A report to the Department of Sustainability, Environment, Water, Communities and Population. April 2011.

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