Cooperative Fish and Wildlife Research Units Program: Minnesota
Education, Research and Technical Assistance for Managing Our Natural Resources

Minnesota Staff Member


Lynn Waterhouse

Assistant Unit Leader
Email: lwaterhouse@usgs.gov
Faculty Email: Lwater@umn.edu

Education

  • Ph D University of California San Diego 2018
  • MS Pennsylvania State University 2012
  • MS College of William and Mary 2010
  • BS University of Dayton 2007

Biography

Lynn Waterhouse joined the Assistant Unit Leader, Fisheries at the Minnesota Cooperative Fish and Wildlife Research Unit (MNCFWRU) at the University of Minnesota in June of 2021. Prior to joining the MNCFWRU she was a Research Biologist with the Marine Conservation team at John G. Shedd Aquarium focusing on mesopredator research in The Bahamas. Lynn's research focuses on stock assessment, population dynamics of fishes, and statistical methods - with the goal of analyzing and solving relevant, real world problems. Research is done in both marine and freshwater systems. Lynn teaches graduate courses in the Fisheries, Wildlife, and Conservation Biology program at University of Minnesota on topics related to quantitative fisheries including Sampling Design (Fall 2022).
Ph.D. Biological Oceanography, Scripps Institution of Oceanography, University of California San Diego, 2018
M.S. Statistics, Pennsylvania State University, 2012
M.S. Fisheries Sciences, Virginia Institute of Marine Sciences at The College of William and Mary, 2010

Areas of Expertise

Fisheries Management, Population Dynamics, Statistics and Modelling

Taxon Groups Studied

Anadromous Fishes, Freshwater Fishes, Marine Fishes

Research Publications Publication Date
Waterhouse, Lynn, and John M. Hoenig. 2012. Tagging models for estimating survival rates when tag visibility changes over time: partial-year tabulation of recaptures. North American Journal of Fisheries Management 32:147-158. https://doi.org/10.1080/02755947.2012.661383 | Abstract February 2012
Waterhouse, Lynn, and John M. Hoenig. 2011. Instantaneous‐Rates Tagging Models Allowing for Delayed Mixing of Newly Tagged Cohorts: Partial Year Tabulation of Recaptures. North American Journal of Fisheries Management 31(6): 995-1004.
https://doi.org/10.1080/02755947.2011.633685
December 2011
Waterhouse, Lynn, Scott A. Heppell, Christy V. Pattengill-Semmens, Croy McCoy, Phillippe Bush, Bradley C. Johnson, and Brice X. Semmens. 2020. Recovery of critically endangered Nassau grouper (Epinephelus striatus) in the Cayman Islands following targeted conservation actions. Proceedings of the National Academy of Sciences 117(3): 1587-1595.
https://doi.org/10.1073/pnas.1917132117 | Abstract | Publisher Website
January 2020
Waterhouse, L., White, J., See, K., Murdoch, A., and B. X. Semmens. 2020. A Bayesian nested patch occupancy model to estimate steelhead movement and abundance. Ecological Applications 30(8):e02202.
https://doi.org/10.1002/eap.2202 | Abstract | Publisher Website
June 2020
Waterhouse, L., L. Ailloud, R. Austin, W. J. Golet, A. Pacicco, A. Andrews, K. Diouf, Y. Ndiour, K. Krusic-Golub, G. da Silva, and J. M. Hoenig. 2022. Updated Integrated Growth Model for Bigeye Tuna (Thunnus obesus) in the Atlantic Ocean. Fisheries Research. https://doi.org/10.1016/j.fishres.2022.106317 | Abstract | Download December 2022
Stock, B.C., Heppell, S. A., Waterhouse, L., Dove, I. C., Pattengill-Semmens, C. V., McCoy, C. M., Bush, P. G., Ebanks-Petrie, G., and B. X. Semmens. 2021. Pulse recruitment and recovery of Cayman Islands Nassau Grouper (Epinephelus striatus) spawning aggregations revealed by in situ length-frequency data. ICES Journal of Marine Science 78(1): 277-292. https://doi.org/10.1093/icesjms/fsaa221 | Abstract | Publisher Website January 2021
Popa, D., Waterhouse, L., Duchnick, J., Neuman, T., and P. Witucki. 2021. Performance of the Uni-Vent Eagle(TM) Model 754 ventilator under hyperbaric conditions. Undersea & Hyperbaric Medical Society, Inc. 48(4):409-416. PMID: 34847304. | Abstract | Publisher Website October 2021
Munger, J. E., D. P. Herrera, S. M. Haver, L. Waterhouse, M. F. McKenna, R. P. Dziak, J. Gedamke, S. A. Heppell, J. H. Haxel. 2022. Machine learning analysis reveals relationship between pomacentrid calls and environmental cues. Marine Ecology Progress Series 681:197-210. DOI: https://doi.org/10.3354/meps13912 | Abstract | Publisher Website January 2022
Merritt, Daniel, Mary K. Donovan, Christopher Kelley, Lynn Waterhouse, Michael Parke, Kevin Wong, and Jeffrey C. Drazen. 2011. BotCam: a baited camera system for nonextractive monitoring of bottomfish species. Fishery Bulletin 109(1):56–67. https://spo.nmfs.noaa.gov/sites/default/files/pdf-content/2011/1091/merritt.pdf | Abstract | Publisher Website December 2011
Lyuksyutov, S., Vaia, R., Paramonov, P., Juhl, S., Waterhouse, L., Ralich, R. M., Sigalov, G., and E. Sancaktar. 2003. Electrostatic nanolithography in polymers using atomic force microscopy. Nature Materials 2:468–472. https://doi.org/10.1038/nmat926

| Abstract
July 2003
Kough, A.S., Gutzler, B.C., Tuttle, J.G., Palma, N., Knowles, L.C., and L. Waterhouse. 2022. Anthropause shows differential influence of tourism and a no-take reserve on the abundance and size of two fished species. Aquatic Conservation: Marine and Freshwater Ecosystems 1– 17. https://doi.org/10.1002/aqc.3856 | Abstract December 2022
Davis, Briana
Master's
davi2542@umn.edu

Nyffeler, Olivia
Master's
nyffe008@umn.edu

Presentations Presentation Date
Waterhouse, L., L. Ailloud, G. daSilva, J. M. Hoenig. Updated Growth Curves for Atlantic Ocean Tropical Tuna Species (Skipjack, Yellowfin, and Bigeye). The Atlantic Ocean tropical Tuna Tagging Programme (AOTTP) Final Symposium Experience, Results and Lessons Learnt from Oceanic Tuna Tagging Campaigns: the AOTTP in Context. ONLINE.12-14 January 2021. January 2021
Waterhouse, L., L. Ailloud, G. daSilva, J. M. Hoenig. Improving age composition estimates: Evaluating a Bayesian method for estimating ages from spines with vascularized cores. World Fisheries Congress. Virtual, 20-24 September 2021. August 2021
Waterhouse, L., L. Ailloud, G. daSilva, J. M. Hoenig. Improving age composition estimates: Evaluating a Bayesian method for estimating ages from spines with vascularized cores. The Atlantic Ocean tropical Tuna Tagging Programme (AOTTP) Final Symposium Experience, Results and Lessons Learnt from Oceanic Tuna Tagging Campaigns: the AOTTP in Context. ONLINE.12-14 January 2021. January 2021