The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
<
Volume s1,
Issue 16
Volume s1,
Issue 15
Volume s1,
Issue 13b
Volume s1,
Issue 13a
Volume s1,
Issue 12b
Volume s1,
Issue 12a
Volume s1,
Issue 9
Volume s1,
Issue 8
Volume s1,
Issue 7
Volume s1,
Issue 6
Volume s1,
Issue 5
Volume s1,
Issue 4
Volume s1,
Issue 3
Volume s1,
Issue 2
Volume s1,
Issue 1
Volume 76,
Issue 2
Volume 75,
Issue 7
Volume 75,
Issue 5
Volume 75,
Issue 3
Volume 74,
Issue 7
Volume 74,
Issue 3
Volume 74,
Issue 2
Volume 74,
Issue 1
Volume 73,
Issue suppl_1
Volume 73,
Issue s1
Volume 73,
Issue 10
Volume 73,
Issue 9
Volume 73,
Issue 8
Volume 73,
Issue 7
Volume 73,
Issue 6
Volume 73,
Issue 5
Volume 73,
Issue 4
Volume 73,
Issue 3
Volume 73,
Issue 2
Volume 73,
Issue 1
Volume 72,
Issue 9
Volume 72,
Issue 8
Volume 72,
Issue 7
Volume 72,
Issue 6
Volume 72,
Issue 5
Volume 72,
Issue 4
Volume 72,
Issue 3
Volume 72,
Issue 2
Volume 72,
Issue 1
Volume 71,
Issue 9
Volume 71,
Issue 8
Volume 71,
Issue 7
Volume 71,
Issue 6
Volume 71,
Issue 5
Volume 71,
Issue 4
Volume 71,
Issue 3
Volume 71,
Issue 2
Volume 71,
Issue 1
Volume 70,
Issue 7
Volume 70,
Issue 6
Volume 70,
Issue 5
Volume 70,
Issue 4
Volume 70,
Issue 3
Volume 70,
Issue 2
Volume 70,
Issue 1
Volume 69,
Issue 10
Volume 69,
Issue 9
Volume 69,
Issue 8
Volume 69,
Issue 7
Volume 69,
Issue 6
Volume 69,
Issue 5
Volume 69,
Issue 4
Volume 69,
Issue 3
Volume 69,
Issue 2
Volume 69,
Issue 1
Volume 68,
Issue 10
Volume 68,
Issue 9
Volume 68,
Issue 8
Volume 68,
Issue 7
Volume 68,
Issue 6
Volume 68,
Issue 5
Volume 68,
Issue 4
Volume 68,
Issue 3
Volume 68,
Issue 2
Volume 68,
Issue 1
Volume 67,
Issue 9
Volume 67,
Issue 8
Volume 67,
Issue 7
Volume 67,
Issue 6
Volume 67,
Issue 5
Volume 67,
Issue 4
Volume 67,
Issue 3
Volume 67,
Issue 2
Volume 67,
Issue 1
Volume 66,
Issue 10
Volume 66,
Issue 9
Volume 66,
Issue 8
Volume 66,
Issue 7
Volume 66,
Issue 6
Volume 66,
Issue 5
Volume 66,
Issue 4
Volume 66,
Issue 3
Volume 66,
Issue 2
Volume 66,
Issue 1
Volume 65,
Issue 9
Volume 65,
Issue 8
Volume 65,
Issue 7
Volume 65,
Issue 6
Volume 65,
Issue 5
Volume 65,
Issue 4
Volume 65,
Issue 3
Volume 65,
Issue 2
Volume 65,
Issue 1
Volume 64,
Issue 9
Volume 64,
Issue 8
Volume 64,
Issue 7
Volume 64,
Issue 6
Volume 64,
Issue 5
Volume 64,
Issue 4
Volume 64,
Issue 3
Volume 64,
Issue 2
Volume 64,
Issue 1
Volume 63,
Issue 9
Volume 63,
Issue 8
Volume 63,
Issue 7
Volume 63,
Issue 6
Volume 63,
Issue 5
Volume 63,
Issue 4
Volume 63,
Issue 3
Volume 63,
Issue 2
Volume 63,
Issue 1
Volume 62,
Issue 8
Volume 62,
Issue 7
Volume 62,
Issue 6
Volume 62,
Issue 5
Volume 62,
Issue 4
Volume 62,
Issue 3
Volume 62,
Issue 2
Volume 62,
Issue 1
Volume 61,
Issue 8
Volume 61,
Issue 7
Volume 61,
Issue 6
Volume 61,
Issue 5
Volume 61,
Issue 4
Volume 61,
Issue 3
Volume 61,
Issue 2
Volume 61,
Issue 1
Volume 60,
Issue 6
Volume 60,
Issue 5
Volume 60,
Issue 4
Volume 60,
Issue 3
Volume 60,
Issue 2
Volume 60,
Issue 1
Volume 59,
Issue suppl
Volume 59,
Issue 6
Volume 59,
Issue 5
Volume 59,
Issue 4
Volume 59,
Issue 3
Volume 59,
Issue 2
Volume 59,
Issue 1
Volume 58,
Issue 6
Volume 58,
Issue 5
Volume 58,
Issue 4
Volume 58,
Issue 3
Volume 58,
Issue 2
Volume 58,
Issue 1
Volume 57,
Issue 6
Volume 57,
Issue 5
Volume 57,
Issue 4
Volume 57,
Issue 3
Volume 57,
Issue 2
Volume 57,
Issue 1
Volume 56,
Issue 6
Volume 56,
Issue 5
Volume 56,
Issue 4
Volume 56,
Issue 3
Volume 56,
Issue 2
Volume 56,
Issue 1
Volume 55,
Issue 6
Volume 55,
Issue 5
Volume 55,
Issue 4
Volume 55,
Issue 3
Volume 55,
Issue 2
Volume 55,
Issue 1
Volume 54,
Issue 6
Volume 54,
Issue 5
Volume 54,
Issue 4
Volume 54,
Issue 3
Volume 54,
Issue 2
Volume 54,
Issue 1
Volume 53,
Issue 6
Volume 53,
Issue 5
Volume 53,
Issue 4
Volume 53,
Issue 3
Volume 53,
Issue 2
Volume 53,
Issue 1
Volume 52,
Issue 6
Volume 52,
Issue 5
Volume 52,
Issue 4
Volume 52,
Issue 3
Volume 52,
Issue 2
Volume 52,
Issue 1
Volume 51,
Issue 4
Volume 51,
Issue 3
Volume 51,
Issue 2
Volume 51,
Issue 1
Volume 50,
Issue 4
Volume 50,
Issue 3
Volume 50,
Issue 2
Volume 50,
Issue 1
Volume 49,
Issue 4
Volume 49,
Issue 3
Volume 49,
Issue 2
Volume 49,
Issue 1
Volume 48,
Issue 3
Volume 48,
Issue 2
Volume 48,
Issue 1
Volume 47,
Issue 3
Volume 47,
Issue 2
Volume 47,
Issue 1
Volume 46,
Issue 3
Volume 46,
Issue 2
Volume 46,
Issue 1
Volume 45,
Issue 3
Volume 45,
Issue 2
Volume 45,
Issue 1
Volume 44,
Issue 3
Volume 44,
Issue 2
Volume 44,
Issue 1
Volume 43,
Issue 3
Volume 43,
Issue 2
Volume 43,
Issue 1
Volume 42,
Issue 3
Volume 42,
Issue 2
Volume 42,
Issue 1
Volume 41,
Issue 3
Volume 41,
Issue 2
Volume 41,
Issue 1
Volume 40,
Issue 3
Volume 40,
Issue 2
Volume 40,
Issue 1
Volume 39,
Issue 3
Volume 39,
Issue 2
Volume 39,
Issue 1
Volume 38,
Issue 3
Volume 38,
Issue 2
Volume 38,
Issue 1
Volume 37,
Issue 3
Volume 37,
Issue 2
Volume 37,
Issue 1
Volume 36,
Issue 3
Volume 36,
Issue 2
Volume 36,
Issue 1
Volume 35,
Issue 3
Volume 35,
Issue 2
Volume 35,
Issue 1
Volume 34,
Issue 3
Volume 34,
Issue 2
Volume 34,
Issue 1
Volume 33,
Issue 3
Volume 33,
Issue 2
Volume 33,
Issue 1
Volume 32,
Issue 3
Volume 32,
Issue 2
Volume 32,
Issue 1
Volume 31,
Issue 3
Volume 31,
Issue 2
Volume 31,
Issue 1
Volume 30,
Issue 3
Volume 30,
Issue 2
Volume 30,
Issue 1
Volume 29,
Issue 3
Volume 29,
Issue 2
Volume 29,
Issue 1
Volume 28,
Issue 3
Volume 28,
Issue 2
Volume 28,
Issue 1
Volume 27,
Issue 3
Volume 27,
Issue 2
Volume 27,
Issue 1
Volume 26,
Issue 3
Volume 26,
Issue 2
Volume 26,
Issue 1
Volume 25,
Issue 3
Volume 25,
Issue 2
Volume 25,
Issue 1
Volume 24,
Issue 3
Volume 24,
Issue 2
Volume 24,
Issue 1
Volume 23,
Issue 3
Volume 23,
Issue 2
Volume 23,
Issue 1
Volume 22,
Issue 3
Volume 22,
Issue 2
Volume 22,
Issue 1
Volume 21,
Issue 3
Volume 21,
Issue 2
Volume 21,
Issue 1
Volume 20,
Issue 3
Volume 20,
Issue 2
Volume 20,
Issue 1
Volume 19,
Issue 3
Volume 19,
Issue 2
Volume 19,
Issue 1
Volume 18,
Issue 3
Volume 18,
Issue 2
Volume 18,
Issue 1
Volume 17,
Issue 3
Volume 17,
Issue 2
Volume 17,
Issue 1
Volume 16,
Issue 3
Volume 16,
Issue 2
Volume 16,
Issue 1
Volume 15,
Issue 3
Volume 15,
Issue 2
Volume 15,
Issue 1
Volume 14,
Issue 3
Volume 14,
Issue 2
Volume 14,
Issue 1
Volume 13,
Issue 3
Volume 13,
Issue 2
Volume 13,
Issue 1
Volume 12,
Issue 3
Volume 12,
Issue 2
Volume 12,
Issue 1
Volume 11,
Issue 3
Volume 11,
Issue 2
Volume 11,
Issue 1
Volume 10,
Issue 3
Volume 10,
Issue 2
Volume 10,
Issue 1
Volume 9,
Issue 3
Volume 9,
Issue 2
Volume 9,
Issue 1
Volume 8,
Issue 3
Volume 8,
Issue 2
Volume 8,
Issue 1
Volume 7,
Issue 3
Volume 7,
Issue 2
Volume 7,
Issue 1
Volume 6,
Issue 3
Volume 6,
Issue 2
Volume 6,
Issue 1
Volume 5,
Issue 3
Volume 5,
Issue 2
Volume 5,
Issue 1
Volume 4,
Issue 3
Volume 4,
Issue 2
Volume 4,
Issue 1
Volume 3,
Issue 3
Volume 3,
Issue 2
Volume 3,
Issue 1
Volume 2,
Issue 3
Volume 2,
Issue 2
Volume 2,
Issue 1
Volume 1,
Issue 4
Volume 1,
Issue 3
Volume 1,
Issue 2
Volume 1,
Issue 1
>
Table of contents
1
Stock assessment methods for sustainable fisheries
Cadrin, Steven X.
/ Dickey-Collas, Mark
et al.
| 2015
7
Contemporary fisheries stock assessment: many issues still remain
Maunder, Mark N.
/ Piner, Kevin R.
et al.
| 2015
19
Simulation testing the robustness of stock assessement models to error: some results from the ICES strategic initiative on stock assessment methods
Methot, R.D
et al.
| 2015
19
Simulation testing the robustness of stock assessment models to error: some results from the ICES strategic initiative on stock assessment methods
Deroba, J.J.
/ Butterworth, D.S.
/ Methot, R.D.
et al.
| 2015
31
The importance of length and age composition data in statistical age-structured models for marine species
Ono, Kotaro
/ Licandeo, Roberto
/ Muradian, Melissa L.
et al.
| 2015
44
Properties of age compositions and mortality estimates derived from cohort slicing of length data
Ailloud, Lisa E.
/ Smith, Matthew W.
/ Then, Amy Y.
et al.
| 2015
54
Getting all information out of logbooks: estimating banana prawn fishable biomass, catchability, and fishing power increase, with a focus on natural mortality
Zhou, Shijie
/ Buckworth, Rik C.
/ Ellis, Nick
et al.
| 2015
62
A method for calculating a meta-analytical prior for the natural mortality rate using multiple life history correlates
Hamel, Owen S.
et al.
| 2015
70
An evaluation of alternative assessment approaches for intermixing fish populations: a case study with Great Lakes lake whitefish
Li, Yang
/ Bence, James R.
/ Brenden, Travis O.
et al.
| 2015
82
Evaluating the predictive performance of empirical estimators of natural mortality rate using information on over 200 fish species
Then, Amy Y.
/ Hoenig, John M.
/ Hall, Norman G.
et al.
| 2015
93
Model averaging to streamline the stock assessment process
Millar, Colin P.
/ Jardim, Ernesto
/ Scott, Finlay
et al.
| 2015
99
Looking in the rear-view mirror: bias and retrospective patterns in integrated, age-structured stock assessment models
Hurtado-Ferro, Felipe
/ Szuwalski, Cody S.
/ Valero, Juan L.
et al.
| 2015
111
Quirky patterns in time-series of estimates of recruitment could be artefacts
Dickey-Collas, M.
/ Hintzen, N. T.
/ Nash, R. D. M.
et al.
| 2015
117
Improving catch prediction for tiger prawns in the Australian northern prawn fishery
Deng, Roy A.
/ Punt, André E.
/ Dichmont, Catherine M.
et al.
| 2015
130
Importance of modelling heteroscedasticity of survey index data in fishery stock assessments
Hyun, Saang-Yoon
/ Maunder, Mark N.
/ Rothschild, Brian J.
et al.
| 2015
137
Time-varying natural mortality in fisheries stock assessment models: identifying a default approach
Johnson, Kelli F.
/ Monnahan, Cole C.
/ McGilliard, Carey R.
et al.
| 2015
151
Honeycomb: a spatio-temporal simulation model to evaluate management strategies and assessment methods
Needle, Coby L.
et al.
| 2015
164
Demonstration of a spatially explicit, tag-integrated stock assessment model with application to three interconnected stocks of yellowtail flounder off of New England
Goethel, Daniel R.
/ Legault, Christopher M.
/ Cadrin, Steven X.
et al.
| 2015
178
Random effect estimation of time-varying factors in Stock Synthesis
Thorson, James T.
/ Hicks, Allan C.
/ Methot, Richard D.
et al.
| 2015
186
Data and time poverty in fisheries estimation: potential approaches and solutions
Bentley, Nokome
et al.
| 2015
194
Revisiting the concept of Beverton{-}{-}-Holt life-history invariants with the aim of informing data-poor fisheries assessment
Prince, Jeremy
/ Hordyk, Adrian
/ Valencia, Sarah R.
et al.
| 2015
204
Some explorations of the life history ratios to describe length composition, spawning-per-recruit, and the spawning potential ratio
Hordyk, Adrian
/ Ono, Kotaro
/ Sainsbury, Keith
et al.
| 2015
217
A novel length-based empirical estimation method of spawning potential ratio (SPR), and tests of its performance, for small-scale, data-poor fisheries
Hordyk, Adrian
/ Ono, Kotaro
/ Valencia, Sarah
et al.
| 2015
232
What if stock assessment is as simple as a linear model? The a4a initiative
Jardim, Ernesto
/ Millar, Colin P.
/ Mosqueira, Iago
et al.
| 2015
237
The determination of data-poor catch limits in the United States: is there a better way?
Berkson, Jim
/ Thorson, James T.
et al.
| 2015
243
Testing the robustness of data-poor assessment methods to uncertainty in catch and biology: a retrospective approach
Arnold, Linsey M.
/ Heppell, Selina S.
et al.
| 2015
251
Generic management procedures for data-poor fisheries: forecasting with few data
Geromont, H. F.
/ Butterworth, D. S.
et al.
| 2015
262
Complex assessments or simple management procedures for efficient fisheries management: a comparative study
Geromont, H. F.
/ Butterworth, D. S.
et al.
| 2015
275
An investigation into fisheries interaction effects using Atlantis
Smith, Michael D.
/ Fulton, Elizabeth A.
/ Day, Robert W.
et al.
| 2015