Minnesota Staff Member
Lynn Waterhouse
Assistant Unit Leader
Email: lwaterhouse@usgs.gov
Faculty Email: Lwater@umn.edu
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 |
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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 |
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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 |
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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 |
| 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 |