Why Study Fish Population Recruitment?

Author(s):  
J.-P. Troadec
EDIS ◽  
2021 ◽  
Vol 2021 (5) ◽  
Author(s):  
Edward V. Camp ◽  
Angela B. Collins ◽  
Robert N.M. Ahrens ◽  
Kai Lorenzen

A good understanding of stock recruitment is essential for accurate stock assessment and good fisheries management. But recruitment and how it is used can be difficult to understand. This publication uses a recent Florida spotted seatrout stock assessment as an example to show how the stock-recruit relationship allows managers to determine whether or not a given fish population is overfished.


EDIS ◽  
2020 ◽  
Vol 2020 (2) ◽  
pp. 6
Author(s):  
Ed Camp ◽  
Angela B Collins ◽  
Robert N.M. Ahrens ◽  
Kai Lorenzen

Recruitment, the process by which small fish transition to older, larger life stages, is probably the most important process that regulates populations of fish, but it is complicated to understand. This 6-page fact sheet written by Edward V. Camp, Robert N. M. Ahrens, Angela B. Collins, and Kai Lorenzen and published by the UF/IFAS Program in Fisheries and Aquatic Sciences, School of Forest Resources and Conservation explains the recruitment process in fish populations and why recruitment is so important to fisheries science and management. https://edis.ifas.ufl.edu/fa222


Fact Sheet ◽  
2002 ◽  
Author(s):  
Donald L. DeAngelis ◽  
Louis J. Gross ◽  
Holly Gaff ◽  
Rene Salinas
Keyword(s):  

1978 ◽  
Vol 35 (2) ◽  
pp. 184-189 ◽  
Author(s):  
S. J. Westrheim ◽  
W. E. Ricker

Consider two representative samples of fish taken in different years from the same fish population, this being a population in which year-class strength varies. For the "parental" sample the length and age of the fish are determined and are used to construct an "age–length key," the fractions of the fish in each (short) length interval that are of each age. For the "filial" sample only the length is measured, and the parental age–length key is used to compute the corresponding age distribution. Trials show that the age–length key will reproduce the age-frequency distribution of the filial sample without systematic bias only if there is no overlap in length between successive ages. Where there is much overlap, the age–length key will compute from the filial length-frequency distribution approximately the parental age distribution. Additional bias arises if the rate of growth if a year-class is affected by its abundance, or if the survival rate in the population changes. The length of the fish present in any given part of a population's range can vary with environmental factors such as depth of the water; nevertheless, a sample taken in any part of that range can be used to compute age from the length distribution of a sample taken at the same time in any other part of the range, without systematic bias. But this of course is not likely to be true of samples taken from different populations of the species. Key words: age–length key, bias, Pacific ocean perch, Sebastes alutus


2010 ◽  
Vol 84 (1-2) ◽  
pp. 85-88 ◽  
Author(s):  
Lawrence J. Buckley ◽  
Lauren B. Buckley

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