Kelli Johnson

Past Graduate Student

kfjohns@uw.edu206-221-6319University of Washington School of Aquatic & Fishery Sciences Box 355020 Seattle, WA 98195-5020Google Scholar@kellifayejohnskellijohnson

Kelli is a quantitative ecologist with a Masters in Resource Management from Simon Fraser University, British Columbia, Canada. Prior to earning her Masters she worked as a field biologist for Cascadia, a non-profit marine mammal research collective in Olympia, Washington. Her work focused on the ecology of blue whales and when and where they are more likely to come into contact with shipping vessels. Currently, her work at the University of Washington is focused on fisheries. More specifically, her dissertation aims to improve multi-species stock assessment methods by creating methods that can provide tactical management advice. Much of her work is based on a three species stock assessment model developed by Dr. Doug Kinzey and Dr. André Punt. Additionally, she will work with Dr. Isaac Kaplan on developing stock indicators for species that do not have assessments or are grouped into stock complexes using Atlantis as an operating model.


  • Thorson, JT, Johnson, KF, Methot, RD, and Taylor, IG. 2017. Model-based estimates of effective sample size in stock assessment models using the Dirichlet-multinomial distribution. Fish. Res. 192:84-93. doi:10.1016/j.fishres.2016.06.005
  • Johnson, KF, Councill, E, Thorson, JT, Brooks, E, Methot, RD, and Punt, AE. 2016. Can autocorrelated recruitment be estimated using integrated assessment models and how does it affect population forecasts?. Fish. Res. 183: 222-232. doi:10.1016/j.fishres.2016.06.004.
  • Johnson, KF, and Punt, AE. 2016. Summary statistics for the comparison between the currently implemented Catch Limit Algorithm (CLA) and the variant proposed by Norway. J. Cetacean Res. Manage. 17(Suppl.): 123-127.
  • Kuriyama, PT, Ono, K, Hurtado-Ferro, F, Hicks, AC, Taylor, IG, Licandeo, RR, Johnson, KF, Anderson, SC, Monnahan, CC, Rudd, MB, Stawitz, CC, Valero, JL. 2016. An empirical weight-at-age approach reduces estimation bias compared to modeling parametric growth in integrated, statistical stock assessment models when growth is time varying. Fish Res. 180: 119-127. doi:10.1016/j.fishres.2015.09.007.
  • Monnahan, CC, Ono, K, Anderson, SC, Rudd, MB, Hicks, AC, Hurtado-Ferro, F, Johnson, KF, Kuriyama, PT, Licandeo, RR, Stawitz, CC, Taylor, IG, Valero, JL. 2016. The effect of length bin width on growth estimation in integrated age-structured stock assessments. Fish. Res. 180: 103-112. doi:10.1016/j.fishres.2015.11.002
  • Punt, AE, MacCall, AD, Essington, TE, Francis, TB, Hurtado-Ferro, F, Johnson, KF, Kaplan, IC, Koehn, LE, Levin, PS, Sydeman, WJ. 2016. Exploring the implications of the harvest control rule for Pacific sardine, accounting for predator dynamics: A MICE model. Ecol. Model. 337: 79-95. doi: 10.1016/j.ecolmodel.2016.06.004
  • Johnson, KF, Monnahan, CC, McGilliard, CR, Vert-pre, KA, Anderson, SC, Cunningham, CJ, Hurtado-Ferro, F, Licandeo, RR, Muradian, ML, Ono, K, Szuwalski, CS, Valero, JL, Whitten, AR, Punt, AE. 2015. Time-varying natural mortality in fisheries stock assessment models: identifying a default approach. ICES J. Mar. Sci. 72:137-150. doi:10.1093/icesjms/fsu055.
  • Johnson, KF, Rudd, MB, Pons, M, Allen, C, Lee, Q, Hurtado-Ferro, F, Haltuch, MA, Hamel, OS. 2015. Status of the US sablefish resource in 2015. Pacific Fisheries Management Council. Portland, OR.
  • Hurtado-Ferro, F, Szuwalski, CS, Valero, JL, Anderson, SC, Cunningham, CJ, Johnson, KF, Licandeo, R, McGilliard, CR, Monnahan, CC, Muradian, ML, Ono, K, Vert-Pre, KA, Whitten, AR, and Punt, AE. 2015. Looking in the rear-view mirror: bias and retrospective patterns in integrated, age-structured stock assessment models. ICES J. Mar. Sci. 72:99-110. doi:10.1093/icesjms/fsu198.
  • Ono, K, Licandeo, R, Muradian, ML, Cunningham, CJ, Anderson, SC, Hurtado-Ferro, Johnson, KF, McGilliard, CR, Monnahan, CC, Szuwalski, CS, Valero, JL, Vert-pre, KA, Whitten, AR, Punt, AE. 2015. The importance of length and age composition data in statistical age-structured models for marine species. ICES J. Mar. Sci. 72:31-43. doi:10.1093/icesjms/fsu007.
  • Stawitz, CC, Hurtado-Ferro, F, Kuriyama, P, Trochta, JT, Johnson, KF, Haltuch, MA, Hamel, OS. 2015. Stock assessment update: status of the US petrale sole resource in 2014. Pacific Fisheries Management Council. Portland, OR.
  • Anderson, SC, Monnahan, CC, Johnson, KF, Ono, K, Valero, JL. 2014. ss3sim: An R Package for fisheries stock assessment simulation with Stock Synthesis. PLoS ONE 9(4):e92725. doi:10.1371/journal.pone.0092725.
  • Anderson, SC, Monnahan, CC, Johnson, KF, Ono, K, Valero, JL, Cunningham, CJ, Hurtado-Ferro, F, Licandeo, R, McGilliard, CR, Szuwalski, CS, Vert-pre, KA, Whitten, AR. 2014. ss3sim: fisheries stock assessment simulation testing with Stock Synthesis. R package. download
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