kotaro ono
kotaro ono
Institute of Marine Research (Bergen, Norway)
Verified email at hi.no
Title
Cited by
Cited by
Year
A novel length-based empirical estimation method of spawning potential ratio (SPR), and tests of its performance, for small-scale, data-poor fisheries
A Hordyk, K Ono, S Valencia, N Loneragan, J Prince
ICES Journal of Marine Science 72 (1), 217-231, 2015
1932015
Some explorations of the life history ratios to describe length composition, spawning-per-recruit, and the spawning potential ratio
A Hordyk, K Ono, K Sainsbury, N Loneragan, J Prince
ICES Journal of Marine Science 72 (1), 204-216, 2015
1412015
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)
MSO Brieuc, K Ono, DP Drinan, KA Naish
Molecular Ecology 24 (11), 2729-2746, 2015
832015
Time-varying natural mortality in fisheries stock assessment models: identifying a default approach
KF Johnson, CC Monnahan, CR McGilliard, KA Vert-pre, SC Anderson, ...
ICES Journal of Marine Science 72 (1), 137-150, 2015
782015
Looking in the rear-view mirror: bias and retrospective patterns in integrated, age-structured stock assessment models
F Hurtado-Ferro, CS Szuwalski, JL Valero, SC Anderson, CJ Cunningham, ...
ICES Journal of Marine Science 72 (1), 99-110, 2015
772015
Accounting for spatiotemporal variation and fisher targeting when estimating abundance from multispecies fishery data
JT Thorson, R Fonner, MA Haltuch, K Ono, H Winker
Canadian Journal of Fisheries and Aquatic Sciences 74 (11), 1794-1807, 2016
582016
Using spatiotemporal species distribution models to identify temporally evolving hotspots of species co‐occurrence
EJ Ward, JE Jannot, YW Lee, K Ono, AO Shelton, JT Thorson
Ecological Applications 25 (8), 2198-2209, 2015
512015
The importance of length and age composition data in statistical age-structured models for marine species
K Ono, R Licandeo, ML Muradian, CJ Cunningham, SC Anderson, ...
ICES Journal of Marine Science 72 (1), 31-43, 2015
512015
A simple length-structured model based on life history ratios and incorporating size-dependent selectivity: application to spawning potential ratios for data-poor stocks
AR Hordyk, K Ono, JD Prince, CJ Walters
Canadian Journal of Fisheries and Aquatic Sciences 73 (12), 1787-1799, 2016
482016
Model performance analysis for Bayesian biomass dynamics models using bias, precision and reliability metrics
K Ono, AE Punt, E Rivot
Fisheries Research 125, 173-183, 2012
462012
A Bayesian approach to identifying and compensating for model misspecification in population models
JT Thorson, K Ono, SB Munch
Ecology 95 (2), 329-341, 2014
432014
Status of the US petrale sole resource in 2012
MA Haltuch, K Ono, J Valero
Portland: Pacific Fishery Management Council, 2013
302013
Reducing the effect of overwater structures on migrating juvenile salmon: an experiment with light
K Ono, CA Simenstad
Ecological Engineering 71, 180-189, 2014
232014
Think outside the grids: An objective approach to define spatial strata for catch and effort analysis
K Ono, AE Punt, R Hilborn
Fisheries Research 170, 89-101, 2015
222015
Spatial delay-difference models for estimating spatiotemporal variation in juvenile production and population abundance
JT Thorson, JN Ianelli, SB Munch, K Ono, PD Spencer
Canadian journal of fisheries and aquatic sciences 72 (12), 1897-1915, 2015
222015
Stock assessment of Pacific ocean perch in waters off of the US West Coast in 2011
OS Hamel, K Ono
Pacific Fishery Management Council, Portland, OR, 165, 2011
222011
ss3sim: an R package for fisheries stock assessment simulation with Stock Synthesis
SC Anderson, CC Monnahan, KF Johnson, K Ono, JL Valero
PLoS One 9 (4), e92725, 2014
202014
The effect of length bin width on growth estimation in integrated age-structured stock assessments
CC Monnahan, K Ono, SC Anderson, MB Rudd, AC Hicks, ...
Fisheries Research 180, 103-112, 2016
162016
Assessing and mitigating dock shading impacts on the behavior of juvenile pacific salmon (Oncorhynchus spp.): can artificial light mitigate the effects?
K Ono, CA Simenstad, JD Toft, SL Southard, KL Sobocinski, A Borde
Washington (State). Dept. of Transportation. Office of Research and Library …, 2010
152010
Management strategy analysis for multispecies fisheries, including technical interactions and human behavior in modelling management decisions and fishing
K Ono, AC Haynie, AB Hollowed, JN Ianelli, CR McGilliard, AE Punt
Canadian Journal of Fisheries and Aquatic Sciences 75 (8), 1185-1202, 2018
142018
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