Publications

Off-prints of any of these papers are available upon request. Please send an e-mail to sbonner6@uwo.ca.

  1. Roualdes, E., Bonner, S.J., Whitney, T., and Harwood, J.D. (2016). Explicit models of predator-prey preferences. Environmental and Ecological Statistics. In Press.
  2. Bonner, S.J., Schofield, M.R., Noren, P., and Price, S.J. (2016). Extending the latent multinomial model with complex error processes and dynamic Markov bases. Annals of Applied Statistics. In press.
  3. Price, S.J., Bonner, S.J., Muncy, B.L., and Barton, C.D. (2016). Effects of mountaintop removal mining on occurrence and abundance of stream salamanders. Journal of Applied Ecology, 53:459–468.
  4. Schofield, M.R. and Bonner, S.J. (2015). Connecting the latent multinomial. Biometrics, 71(4):1070–1080.
  5. Bridger, D., Bonner, S.J., and Briffa, M. (2015). Individual quality and boldness in male hermit crabs: Risk-averse individuals are the most fecund. Proceedings of the Royal Society B, 282(1803).
  6. Augustine, B.C., Treddick, C.A., and Bonner, S.J. (2014). Accounting for behavioral response to capture when estimating population size from hair snare studies with missing data. Methods in Ecology and Evolution, 5(11):1154-1161.
  7. Muncy, B.L., Price, S.J., Bonner, S.J., and Barton, C.D. (2014). Mountaintop removal mining reduces stream salamander occupancy and richness in southeastern Kentucky (USA). Biological Conservation, 180:115–121.
  8. Bonner, S.J. and Schofield, M. (2014). MC(MC)MC: Exploring Monte Carlo integration within MCMC for mark-recapture models with individual covariates. Methods in Ecology and Evolution, 5(12):1305–1315.
  9. Bonner, S.J., Newlands, N., and Heckman, N.E. (2014). Modeling regional impacts of climate teleconnections using functional data analysis. Environmental and Ecological Statistics, 21:1–26.
  10. Bonner, S.J. (2013). Implementing the trinomial mark-recapture-recovery model in Program MARK. Methods in Ecology and Evolution, 4(1):95–98.
  11. Bonner, S.J. and Holmberg, J.A. (2013). Mark-recapture with multiple non-invasive marks. Biometrics, 69(3):766–775.
  12. Bonner, S.J. (2013). Response to: A new method for estimating animal abundance with two sources of data in capture-recapture studies. Methods in Ecology and Evolution, 4(6):585–588.
  13. Chamberlain, J.L., Ness, G., Small, C.J., Bonner, S.J., and Hieber, E.B. (2013). Modeling below-ground biomass to improve sustainable management of actaea racemosa, a globally important medicinal forest product. Forest Ecology and Management, 293(1):1–8.
  14. Bonner, S.J. and Schwarz, C.J. (2011). Smoothing population size estimates for time-stratified mark-recapture experiments using Bayesian p-splines. Biometrics, 67(4):1498–1507.
  15. Bonner, S.J., Morgan, B.J.T., and King, R. (2010). Continuous, time-varying covariates in mark-recapture-recovery analyses: A comparison of methods. Biometrics, 65(4):1256–1265.
  16. Calvert, A., Bonner, S.J., Jonsen, I., Flemming, J., Walde, S., and Taylor, P. (2009). A hierarchical Bayesian approach to multi-state mark-recapture: Simulations and applications. Journal of Applied Ecology, 46:610–620.
  17. Bonner, S.J., Thomson, D.L., and Schwarz, C.J. (2008). Time-varying covariates and semi-parametric regression in capture-recapture: An adaptive spline approach. In D.L. Thomson, E.G. Cooch, and M.J. Conroy (eds.), Modelling Demographic Processes in Marked Populations, vol. 3 of Environmental and Ecological Statistics, pp. 657–676. Springer, New York. Proceedings of the 8th EURING Technical Meeting.
  18. Gimenez, O., Bonner, S.J., King, R., Parker, R.A., Brooks, S.P., Jamieson, L.E., Grosbois, V., Morgan, B.J.T., and Thomas, L. (2008). WinBUGS for population ecologists: Bayesian modeling   chain Monte Carlo methods. In D.L. Thomson, E.G. Cooch, and M.J. Conroy (eds.), Modelling Demographic Processes in Marked Populations, vol. 3 of Environmental and Ecological Statistics, pp. 883–916. Springer, New York. Proceedings of the 8th EURING Technical Meeting.
  19. Bonner, S.J. and Schwarz, C.J. (2006). An extension of the Cormack-Jolly-Seber model for continuous covariates with application to Microtus pennsylvanicus. Biometrics, 62(1):142–149.
  20. Bonner, S.J. and Schwarz, C.J. (2004). Continuous time-dependent individual covariates and the Cormack-Jolly-Seber model. In J.C. Senar, A. Dhont, and M.J. Conroy (eds.), Animal Biodiversity and Conservation, vol. 27. Proceedings of the 7th EURING Technical Meeting.