Recruitment models: diagnosis and prognosis

Coby Needle

doi:10.1023/A:1015208017674

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J.R.G. Hislop (1996)
Changes in the North Sea gadoid stock
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Population dynamics of exploited fish stocks at low population levels
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Exploring the population dynamics of Irish Sea plaice, Pleuronectes platessa L., through the use of Paulik diagrams
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C.J. Walters (1985)
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J. Cons. Int. Explor. Mer, 40
G. Mertz (1994)
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Fish. Oceanogr., 3
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J.T. Schnute (1996)
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Effects of measurement errors on the assessment of stock-recruitment relationships
Can. J. Fish. Aquat. Sci., 38
C.T. Marshall (1998)
Is spawner biomass a sensitive measure of the reproductive and recruitment potential of Northeast Arctic cod?
Can. J. Fish. Aquat. Sci., 55
J.A. Hutchings (1994)
What Can Be Learned from the Collapse of a Renewable Resource? Atlantic Cod, Gadus morhua, of Newfoundland and Labrador
Can. J. Fish. Aquat. Sci., 51
Ø. Ulltang (1996)
Stock assessment and biological knowledge: can prediction uncertainty be reduced?
ICES J. Mar. Sci., 53
D.G. Chen (1999)
A neural network model for forecasting fish stock recruitment
Can. J. Fish. Aquat. Sci., 56
R.A. Myers (1996)
Hypotheses for the decline of cod in the North Atlantic
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N.J. Barrowman (2000)
Still more spawner-recruitment curves: the hockey stick and its generalizations
Can. J. Fish. Aquat. Sci., 57
E.P. Bjorkstedt (2000)
Stock-recruitment relationships for life cycles that exhibit concurrent density dependence
Can. J. Fish. Aquat. Sci., 57
B.A. Megrey (1989)

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G. Gudmundsson (1994)
Time-series analysis of catch-at-age observations
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R.A. Myers (1995)
Time series bias in the estimation of density-dependent mortality in stock-recruitment models
Can. J. Fish. Aquat. Sci., 52
D. Ludwig (1981)
Measurement Errors and Uncertainty in Parameter Estimates for Stock and Recruitment
Can. J. Fish. Aquat. Sci., 38
M.K. McAllister (1998)
Bayesian stock assessment: a review and example application using the logistic model
ICES J. Mar. Sci., 55
R.A. Myers (1997)
Recruitment variation in fish populations assessed using meta-analysis
J.M. Elliot (1994)
Quantitative Ecology and the Brown Trout
D.H. Cushing (1973)
Dependence of recruitment on parent stock
J. Fish. Res. Bd Can., 30
R. Hilborn (1992)
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R.A. Myers (1996)

Fish. Bull., 94
R.J.H. Beverton, S.J. Holt (1956)
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Relationships between anchovy ( Engraulis encrasicolus ) recruitment and environment in the Bay of Biscay (1967–1996)
Fish. Oceanogr., 7
M.J. Fogarty (1993)
Recruitment in randomly varying environments
ICES J. Mar. Sci., 50
J.A. Koslow (1992)
Fecundity and the Stock–Recruitment Relationship
Can. J. Fish. Aquat. Sci., 49
R.A. Myers (1997)
Early Life History and Recruitment in Fish Populations
G.J. Paulik (1973)
Studies of the possible form of the stock and recruitment curve
Rapp. P.-v. Réun. Cons. Int. Explor. Mer, 164
B.J. Rothschild (1989)
Spawning-stock biomass: A source of error in recruitment/stock relationships and management advice
J. Cons. Int. Explor. Mer, 45
J.T. Schnute (1998)
Analytical models for fishery reference points
Can. J. Fish. Aquat. Sci., 55
T.J. Quinn, R.B. Deriso (1999)
Quantitative Fish Dynamics
R.J.H. Beverton (1957)

On the dynamics of exploited fish populations, 19
J.T. Schnute (1995)
The influence of error on population estimates from catch-age models
Can. J. Fish. Aquat. Sci., 52
J.G. Shepherd (1997)
Prediction of year-class strength by calibration regression analysis of multiple recruit index series
ICES J. Mar. Sci., 54
R.A. Myers, J.A. Hutchings, N.J. Barrowman (1997)
Why do fish stocks collapse? The example of cod in Atlantic Canada
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Fishery Stock Assessment Models

Publisher: Springer Journals
Copyright: Copyright © 2001 by Kluwer Academic Publishers
Subject: Life Sciences; Freshwater & Marine Ecology; Zoology
ISSN: 0960-3166
eISSN: 1573-5184
DOI: 10.1023/A:1015208017674
Publisher site: See Article on Publisher Site

Abstract

Probabilistic projections of future fishpopulation dynamics and the determination ofmany management reference points are bothdriven by fishery recruitment models. In turn,these projections and reference points largelygovern perceptions of the likely response of apopulation to fishery management action. Hence, recruitment modeling is a vitalcomponent of stock assessment as carried outfor the purposes of strategic fisheriesmanagement. This review presents a synopsis ofthe types of recruitment model that arecurrently utilised in stock assessments, thereasons that certain models are habituallyselected and the problems inherent in theiruse, and some of the key ongoing researchefforts that are attempting to improve thevalidity of recruitment models. The need forincreased multidisciplinary symbiosis in thedevelopment of recruitment models isemphasized.

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Reviews in Fish Biology and Fisheries – Springer Journals

Published: Oct 3, 2004

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Recruitment models: diagnosis and prognosis

Recruitment models: diagnosis and prognosis

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Recruitment models: diagnosis and prognosis

Recruitment models: diagnosis and prognosis

References (150)

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