• California Code of Regulations (1971). Animals of California declared to be endangered or threatened. California Code of Regulations.
  • Casazza, M.L., Wylie, G.D. & Gregory, C.J. (2000). A funnel trap modification for surface collection of aquatic amphibians and reptiles. Herpetol. Rev. 31: 9192.
  • Fitch, H.S. (1940). A biogeographical study of the ordinoides artenkreis of garter snakes (genus Thamnophis). Univ. Calif. Publ. Zool. 44: 1150.
  • Frayer, W.E., Peters, D.D. & Pywell, H.R. (1989). Wetlands of the California Central Valley: status and trends: 1939-mid-1980's. Portland: U. S. Fish and Wildlife Service, Region 1.
  • Gelman, A., Carlin, J.B., Stern, H.S. & Rubin, D. B. (2004). Bayesian data analysis. 2nd edn. Boca Raton: Chapman & Hall.
  • Hansen, G.E. & Brode, J.M. (1980). Status of the giant garter snake Thamnophis couchii gigas (Fitch). California Department of Fish and Game, Inland Fisheries Endangered Species Program Special Publication 80: 14.
  • Heisey, D. (2009). A primer of wildlife event time analysis using WinBUGS. Available at: (accessed 20 September 2011).
  • Link, W.A. & Sauer, J.R. (1996). Extremes in ecology: avoiding the misleading effects of sampling variation in summary analyses. Ecology 77: 16331640.
  • McGilchrist, C.A. & Aisbett, C.W. (1991). Regression with frailty in survival analysis. Biometrics 47: 461466.
  • Murray, D.L. (2006). On improving telemetry-based survival estimation. J. Wildl. Manage. 70: 15301543.
  • Papadatou, E., Ibáñez, C., Pradel, R., Juste, J. & Gimenez, O. (2011a). Assessing survival in a multi-population system: a case study on bat populations. Oecologia 165: 925933.
  • Papadatou, E., Pradel, R., Schaub, M., Dolch, D., Geiger, H., Ibañez, C., Kerth, G., Popa-Lisseanu, A., Schorcht, W., Teubner, J. & Gimenez, O. (2011b). Comparing survival among species with imperfect detection using multilevel analysis of mark-recapture data: a case study on bats. Ecography Available at: (accessed 20 September 2011).
  • R Development Core Team (2010). R: a language and environment for statistical computing. Vienna: R Foundation for Statistical Computing.
  • Reinert, H.K. & Cundall, D. (1982). An improved surgical implantation method for radio-tracking snakes. Copeia 1982: 702705.
  • Rossman, D.A., Ford, N. B. & Seigel, R. A. (1996). The garter snakes: evolution and ecology. Norman: University of Oklahoma Press.
  • Royle, J.A. & Dorazio, R.M. (2008). Hierarchical modeling and inference in ecology: the analysis of data from populations, metapopulations and communities. London: Academic Press.
  • Sauer, J.R. & Link, W.A. (2002). Hierarchical modeling of population stability and species group attributes from survey data. Ecology 83: 17431751.
  • Spiegelhalter, D., Thomas, A., Best, N. & Lunn, D. (2003). WinBUGS User Manual.
  • Sturtz, S., Ligges, U. & Gelman, A. (2005). R2WinBUGS: a package for running WinBUGS from R. J. Stat. Softw 12: 116.
  • U.S. Fish and Wildlife Service (1993). Determination of threatened status for the giant garter snake. Fed. Regist. 58: 5405354066.
  • Williams, B.K., Nichols, J.D. & Conroy, M.J. (2002). Analysis and management of animal populations. San Diego: Academic Press.
  • Winterstein, S.R., Pollock, K.H. & Bunck, C.M. (2001). Analysis of survival data from radiotelemetry studies. In Radio tracking and animal populations: 351380. Millspaugh, J. & Marzluff, J. M. (Eds). San Diego: Academic Press.
  • Wylie, G.D., Casazza, M.L., Gregory, C.J. & Halstead, B.J. (2010). Abundance and sexual size dimorphism of the giant gartersnake (Thamnophis gigas) in the Sacramento Valley of California. J. Herpetol. 44: 94103.
  • Wylie, G.D., Casazza, M.L., Halstead, B.J. & Gregory, C.J. (2009). Sex, season, and time of day interact to affect body temperatures of the giant gartersnake. J. Therm. Biol. 34: 183189.
  • Zipkin, E.F., DeWan, A. & Royle, J.A. (2009). Impacts of forest fragmentation on species richness: a hierarchical approach to community modelling. J. Appl. Ecol. 46: 815822.