Protected Species

Research Summary

Despite Mark’s focus on fisheries stock assessment, he has also dabbled in modelling protected species and tried to close the gap between methods used in fisheries stock assessment and wildlife. He was involved in the NCEAS extinction risk workshop (McCarthy et al., 2004) and published a paper describing how fisheries stock assessment methods could be used for population viability analysis (Maunder 2004). He also led a project using AD Model Builder (ADMB), which is extensively used in fisheries stock assessment, to implement mark-recapture models used in wildlife (Maunder et al., 2008). Mark was the main programmer for a general Bayesian model for marine mammals (Breen et al., 2003). He has worked on sealions (Maunder et al., 2000; Breen et al., 2003), yelloweyed penguins, black footed albatross, dolphins (Hoyle and Maunder, 2004; Lennert-Cody et al., 2013, 2018), Delta smelt (Maunder and Deriso, 2011), and Longfin smelt (Maunder et al., 2015).

Mark's (Maunder et al. 2015) paper explaining the use of state-space population dynamics models in hypothesis testing and the associated advantages over simple log-linear regressions for modeling survival, is a great resource for teaching this topic.

Relevant Papers

Lennert-Cody, C. E., Buckland, S. T, Gerrodette, T., Webb, A., Barlow, J., Fretwell, P., Maunder, M. N., Kitakado, T., Moore, J. E., Scott, M. D., Skaug, H. J. 2018. Review of potential line-transect methodologies for estimating abundance of dolphin stocks in the eastern tropical Pacific. Journal of Cetacean Research and Management, 19. 9-21. http://nora.nerc.ac.uk/id/eprint/522095/

Lennert-Cody, C.E., Rusin, J.D., Maunder, M.N., Everett, E.H., Largacha Delgado, E.D., Tomlinson, P.K. 2013. Studying small purse-seine vessel fishing behavior with tuna catch data: implications for eastern Pacific Ocean dolphin conservation. Marine Mammal Science, 29(4): 643–668. https://onlinelibrary.wiley.com/doi/epdf/10.1111/j.1748-7692.2012.00608.x

Maunder, M.N., Skaug, H.J., Fournier, D.A., and Hoyle, S.D. 2008. Comparison of estimators for mark-recapture models: random effects, hierarchical Bayes, and AD Model Builder. In: Modeling Demographic Processes in Marked Populations. Eds. Thomson, D.L., Cooch, E.G., and Conroy, M.J. Environmental and Ecological Statistics 3: 917-948. https://www.springerprofessional.de/en/comparison-of-fixed-effect-random-effect-and-hierarchical-bayes-/1510090

Hoyle, S. D. and Maunder, M.N. 2004. A Bayesian integrated population dynamics model to analyze data for protected species. EURING proceedings. Animal Biodiversity and Conservation, 27(1): 247-266. https://www.raco.cat/index.php/abc/article/view/57163

Maunder M.N. 2004. Population Viability Analysis, Based on Combining Integrated, Bayesian, and Hierarchical Analyses. Acta Oecologica 26: 85-94. Special issue for the Extinction Working Group of the National Center for Ecological Synthesis and Analysis. https://www.sciencedirect.com/science/article/abs/pii/S1146609X04000566

McCarthy, M.A., Keith, D., Tietjen, J., Burgman, M.A., Maunder M.N., Master, L., Brook, B.W., Mace, G., Possingham, H.P., Medellin, R., Andelman, S., Regan, H., Regan, T., and Ruckelshaus, M. 2004. Comparing predictions of extinction risk using models and subjective judgment. Acta Oecologica 26: 67-74. Special issue for the Extinction Working Group of the National Center for Ecological Synthesis and Analysis. https://www.sciencedirect.com/science/article/abs/pii/S1146609X04000554

Breen, P.A.., Hilborn, R., Maunder, M.N., and Kim, S.W. 2003. Effects of alternative control rules on the conflict between a fishery and a threatened sea lion (Phocarctos hookeri). Can. J. Fish. Aquat. Sci. 60: 527-541. https://www.nrcresearchpress.com/doi/abs/10.1139/f03-046#.Xp4z_8hKjD4

Maunder, M.N., Starr, P.J. and Hilborn, R. 2000. A Bayesian analysis to estimate loss in squid catch due to the implementation of a sea lion Population Management Plan. Marine Mammal Science, 16(2): 413-426. https://onlinelibrary.wiley.com/doi/epdf/10.1111/j.1748-7692.2000.tb00933.x

Maunder, M.N., Deriso, R.B., and Hanson, C.H. 2015. Use of state-space population dynamics models in hypothesis testing: advantages over simple log-linear regressions for modeling survival, illustrated with application to longfin smelt (Spirinchus thaleichthys). Fisheries Research, 164: 102–111. https://www.sciencedirect.com/science/article/pii/S0165783614003105

Maunder, M.N. and Deriso, R.B. 2011. A state–space multistage life cycle model to evaluate population impacts in the presence of density dependence: illustrated with application to delta smelt (Hyposmesus transpacificus) Can. J. Fish. Aquat. Sci. 68: 1285–1306. https://www.nrcresearchpress.com/doi/full/10.1139/f2011-071#.Xp4TTchKjD4

Reports

Brandon, J. R., Punt, A. E., Wade, P. R., Perryman, W. L., Methot, R. D., and Maunder, M. N. 2007. Incorporating environmental time series into a population dynamics model for eastern North Pacific gray whales. IWC Scientific Paper SC/59/BRG26.

Hoyle, S. D. and Maunder M.N. (2004). Integrated modeling for protected species. PFRP [Pelagic Fisheries Research Program, Joint Institute for Marine and Atmospheric Research, University of Hawaii at Manoa, 9(4): 6-8.]

Maunder, M N and Hilborn, R (2000) Hooker Sea Lion Model. Final Research Report, CSL 99/3094, Department of Conservation, Wellington, NZ.