Catchability: a key parameter for fish stock assessment

1996 ◽  
Vol 6 (2) ◽  
Author(s):  
Francisco Arregu�n-S�nchez
Keyword(s):  
Stock Assessment ◽  
Fish Stock ◽  
Fish Stock Assessment ◽  
Key Parameter

Fish stock assessment a manual of basic methods

Marine Policy ◽  
1984 ◽  
Vol 8 (1) ◽  
pp. 68-69
Author(s):  
Stephen J. Lockwood
Keyword(s):  
Stock Assessment ◽  
Fish Stock ◽  
Fish Stock Assessment

scholarly journals Accuracy of Acoustic Methods in Fish Stock Assessment Surveys

Sonar Systems ◽  
10.5772/18631 ◽  
2011 ◽  
Author(s):  
S. Georgakarakos ◽  
V. Trygonis ◽  
J. Haralabous
Keyword(s):  
Stock Assessment ◽  
Fish Stock ◽  
Acoustic Methods ◽  
Fish Stock Assessment

Analysis of Threshold-Induced Bias Inherent in Acoustic Scattering Cross-Section Estimates of Individual Fish

1975 ◽  
Vol 32 (12) ◽  
pp. 2547-2551 ◽  
Author(s):  
R. T. Weimer ◽  
J. E. Ehrenberg
Keyword(s):  
Cross Section ◽  
Stock Assessment ◽  
Acoustic Scattering ◽  
Operating Conditions ◽  
Scattering Cross Section ◽  
Fish Stock ◽  
Small Fish ◽  
Scattering Cross ◽  
Electronic Circuitry ◽  
Fish Stock Assessment

During acoustic fish stock assessment surveys, it is often desirable to measure the distribution of the acoustic scattering cross-section of single fish. One of the problems in such measurements is that a threshold in the electronic circuitry discriminates against small fish. This effect is analyzed in detail, and an expression is derived for the threshold-induced bias in the mean scattering cross-section estimate. Results are plotted for a typical set of operating conditions.

Application of ensemble-based techniques in fish stock assessment

Sarsia ◽  
2001 ◽  
Vol 86 (6) ◽  
pp. 517-526 ◽  
Author(s):  
Rune Grønnevik ◽  
Geir Evensen
Keyword(s):  
Stock Assessment ◽  
Fish Stock ◽  
Fish Stock Assessment

scholarly journals Effect of a Transducer Horizontality Default on Lake Fish Stock Assessment

2020 ◽  
Author(s):  
Arthur Blanluet ◽  
Chloe Goulon ◽  
Anne Lebourges-Dhaussy ◽  
Pauline Eymar-Dauphin ◽  
Jean Guillard
Keyword(s):  
Stock Assessment ◽  
Fish Stock ◽  
Fish Stock Assessment ◽  
Lake Fish

Assessing abundance of populations with limited data: Lessons learned from data-poor fisheries stock assessment

2016 ◽  
Vol 24 (1) ◽  
pp. 25-38 ◽  
Author(s):  
Anna Chrysafi ◽  
Anna Kuparinen
Keyword(s):  
Stock Assessment ◽  
Sustainable Use ◽  
Lessons Learned ◽  
Research Management ◽  
Fish Stock ◽  
Population Abundance ◽  
Bayesian Hierarchical ◽  
Data Intensive ◽  
Data Limitations ◽  
Fish Stock Assessment

Estimation of population abundances in the absence of good observational data are notoriously difficult, yet urgently needed for biodiversity conservation and sustainable use of natural resources. In the field of fisheries research, management regulations have long demanded population abundance estimates even if data available are sparse, leading to the development of a range of fish stock assessment methods designed for data-poor populations. Here, we present methods developed within the context of fisheries research that can be applied to conduct population abundance estimations when facing data-limitations. We begin the review from the less data-demanding approaches and continue with more data-intensive ones. We discuss the advantages and caveats of these approaches, the challenges and management implications associated with data-poor stock assessments, and we propose the implementation of the Bayesian hierarchical framework as the most promising avenue for future development and improvement of the current practices.

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