Kotaro Ono, Ph.D. - Publications

Affiliations: 
2014 Aquatic and Fishery Sciences University of Washington, Seattle, Seattle, WA 
Area:
Fisheries and Aquaculture Agriculture

29 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2020 Durant JM, Ono K, Stenseth NC, Langangen Ø. Non-linearity in interspecific interactions in response to climate change: cod and haddock as an example. Global Change Biology. PMID 32623765 DOI: 10.1111/Gcb.15264  0.388
2019 Ono K, Knutsen H, Olsen EM, Ruus A, Hjermann DØ, Chr Stenseth N. Possible adverse impact of contaminants on Atlantic cod population dynamics in coastal ecosystems. Proceedings. Biological Sciences. 286: 20191167. PMID 31362638 DOI: 10.1098/Rspb.2019.1167  0.364
2019 Ono K, Langangen Ø, Stenseth NC. Improving risk assessments in conservation ecology. Nature Communications. 10: 2836. PMID 31249288 DOI: 10.1038/S41467-019-10700-4  0.474
2019 Kotwicki S, Ono K. The effect of random and density‐dependent variation in sampling efficiency on variance of abundance estimates from fishery surveys Fish and Fisheries. 20: 760-774. DOI: 10.1111/Faf.12375  0.367
2019 Stige LC, Eriksen E, Dalpadado P, Ono K. Direct and indirect effects of sea ice cover on major zooplankton groups and planktivorous fishes in the Barents Sea Ices Journal of Marine Science. 76: i24-i36. DOI: 10.1093/Icesjms/Fsz063  0.306
2018 Ono K, Haynie AC, Hollowed AB, Ianelli JN, McGilliard CR, Punt AE. Management strategy analysis for multispecies fisheries, including technical interactions and human behavior in modelling management decisions and fishing Canadian Journal of Fisheries and Aquatic Sciences. 75: 1185-1202. DOI: 10.1139/Cjfas-2017-0135  0.759
2017 Thorson JT, Fonner R, Haltuch MA, Ono K, Winker H. Accounting for spatiotemporal variation and fisher targeting when estimating abundance from multispecies fishery data Canadian Journal of Fisheries and Aquatic Sciences. 74: 1794-1807. DOI: 10.1139/Cjfas-2015-0598  0.493
2017 Ono K, Ianelli JN, McGilliard CR, Punt AE. Integrating data from multiple surveys and accounting for spatio-temporal correlation to index the abundance of juvenile Pacific halibut in Alaska Ices Journal of Marine Science. 75: 572-584. DOI: 10.1093/Icesjms/Fsx174  0.779
2017 Ono K, Kotwicki S, Dingsør GE, Johnsen E. Multispecies acoustic dead-zone correction and bias ratio estimates between acoustic and bottom-trawl data Ices Journal of Marine Science. 75: 361-373. DOI: 10.1093/Icesjms/Fsx115  0.448
2016 Ono K, Shelton AO, Ward EJ, Thorson JT, Feist BE, Hilborn R. Space-time investigation of the effects of fishing on fish populations. Ecological Applications : a Publication of the Ecological Society of America. 26: 392-406. PMID 27209782 DOI: 10.1890/14-1874  0.786
2016 Ono K, Shelton AO, Ward EJ, Thorson JT, Feist BE, Hilborn R. Space-time investigation of the effects of fishing on fish populations Ecological Applications. 26: 392-406. DOI: 10.1890/14-1874  0.783
2016 Hordyk AR, Ono K, Prince JD, Walters CJ. A simple length-structured model based on life history ratios and incorporating size-dependent selectivity: application to spawning potential ratios for data-poor stocks Canadian Journal of Fisheries and Aquatic Sciences. 73: 1787-1799. DOI: 10.1139/Cjfas-2015-0422  0.499
2016 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. The effect of length bin width on growth estimation in integrated age-structured stock assessments Fisheries Research. 180: 103-112. DOI: 10.1016/J.Fishres.2015.11.002  0.79
2016 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. 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 Fisheries Research. 180: 119-127. DOI: 10.1016/J.Fishres.2015.09.007  0.776
2015 Ward EJ, Jannot JE, Lee YW, Ono K, Shelton AO, Thorson JT. Using spatiotemporal species distribution models to identify temporally evolving hotspots of species co-occurrence. Ecological Applications : a Publication of the Ecological Society of America. 25: 2198-209. PMID 26910949 DOI: 10.1890/15-0051.1  0.64
2015 Brieuc MS, Ono K, Drinan DP, Naish KA. Integration of Random Forest with population-based outlier analyses provides insight on the genomic basis and evolution of run timing in Chinook salmon (Oncorhynchus tshawytscha). Molecular Ecology. 24: 2729-46. PMID 25913096 DOI: 10.1111/Mec.13211  0.319
2015 Ward EJ, Jannot JE, Lee YW, Ono K, Shelton AO, Thorson JT. Using spatiotemporal species distribution models to identify temporally evolving hotspots of species co-occurrence Ecological Applications. 25: 2198-2209. DOI: 10.1890/15-0051.1  0.605
2015 Thorson JT, Ianelli JN, Munch SB, Ono K, Spencer PD. Spatial delay-difference models for estimating spatiotemporal variation in juvenile production and population abundance Canadian Journal of Fisheries and Aquatic Sciences. 72: 1897-1915. DOI: 10.1139/Cjfas-2014-0543  0.44
2015 Ono K, Punt AE, Hilborn R. How do marine closures affect the analysis of catch and effort data? Canadian Journal of Fisheries and Aquatic Sciences. 72: 1177-1190. DOI: 10.1139/Cjfas-2014-0146  0.604
2015 Ono K, Punt AE, Hilborn R. Think outside the grids: An objective approach to define spatial strata for catch and effort analysis Fisheries Research. 170: 89-101. DOI: 10.1016/J.Fishres.2015.05.021  0.558
2014 Anderson SC, Monnahan CC, Johnson KF, Ono K, Valero JL. ss3sim: an R package for fisheries Stock Assessment simulation with stock synthesis. Plos One. 9: e92725. PMID 24699270 DOI: 10.1371/Journal.Pone.0092725  0.714
2014 Thorson JT, Ono K, Munch SB. A Bayesian approach to identifying and compensating for model misspecification in population models. Ecology. 95: 329-41. PMID 24669727 DOI: 10.1890/13-0187.1  0.415
2014 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, Punt AE. Looking in the rear-view mirror: Bias and retrospective patterns in integrated, age-structured stock assessment models Ices Journal of Marine Science. 72: 99-110. DOI: 10.1093/Icesjms/Fsu198  0.748
2014 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. Time-varying natural mortality in fisheries stock assessment models: Identifying a default approach Ices Journal of Marine Science. 72: 137-150. DOI: 10.1093/Icesjms/Fsu055  0.74
2014 Ono K, Licandeo R, Muradian ML, Cunningham CJ, Anderson SC, Hurtado-Ferro F, Johnson KF, McGilliard CR, Monnahan CC, Szuwalski CS, Valero JL, Vert-Pre KA, Whitten AR, Punt AE. The importance of length and age composition data in statistical age-structured models for marine species Ices Journal of Marine Science. 72: 31-43. DOI: 10.1093/Icesjms/Fsu007  0.762
2014 Hordyk A, Ono K, Valencia S, Loneragan N, Prince J. A novel length-based empirical estimation method of spawning potential ratio (SPR), and tests of its performance, for small-scale, data-poor fisheries Ices Journal of Marine Science. 72: 217-231. DOI: 10.1093/Icesjms/Fsu004  0.531
2014 Hordyk A, Ono K, Sainsbury K, Loneragan N, Prince J. Some explorations of the life history ratios to describe length composition, spawning-per-recruit, and the spawning potential ratio Ices Journal of Marine Science. 72: 204-216. DOI: 10.1093/Icesjms/Fst235  0.474
2014 Ono K, Simenstad CA. Reducing the effect of overwater structures on migrating juvenile salmon: An experiment with light Ecological Engineering. 71: 180-189. DOI: 10.1016/J.Ecoleng.2014.07.010  0.319
2012 Ono K, Punt AE, Rivot E. Model performance analysis for Bayesian biomass dynamics models using bias, precision and reliability metrics Fisheries Research. 125: 173-183. DOI: 10.1016/J.Fishres.2012.02.022  0.422
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