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Int'l Journal of Marine Science 2012, Vol.2, No.8, 57
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coefficient is a ratio calculated as follow:
(Octopus effort)/(Overall effort)
The use of the coefficient of correction is only
practiced for inshore activities because some of them
are known to be selective for other species than
octopus. For the trawling fishing, the effort is used
without corrections because they are not selective and
able to catch octopus if it is accessible.
3.2 Models
Data are available on the yield and the effort expended
over a sufficient number of years (12 years).
According to Laloe (1995) we cannot give definitive
answer about the number of years may be appropriate,
but Hilborn (2003) outlines that generally, stock
assessments are new developments within the last
10~20 years.
The fishing effort has undergone substantial changes
over the period covered and standardized.
The application of surplus production models permits
to determine the optimum level of effort, which
corresponds to the effort that produces the maximum
yield that can be sustained without affecting long-term
productivity of the stock, the so-called maximum
sustainable yield (MSY), which is estimated from
these input data:
f(i)=effort in year i, i=1,2,...,n
Y/f=yield (catch in weight) per unit of effort in year i
Y/f may be derived from the yield, Y(i), of year i for
the entire fishery and the corresponding effort, f(i), by
Y/f=Y(i)/f(i), i=1,2,...,n
The most common production models are Schaefer
model (linear model, 1954) and Fox model
(exponential model, 1970).
The expressing of yield per unit of effort, Y/f, as a
function of the effort, f, using exponential model is
written as: Y(i)/f(i)=exp[c + d*f(i)] and linear one as
Y(i)/f(i)=a+b*f(i) if f(i)≤a/b
The comparison between coefficient of correlation (R
2
)
for Scheaffer and Fox models allows the choice of the
model with the greatest value to be used in stock
assessment.
Authors’ contributions
KW collected data drafted the manuscript, JC participated in the collection
of data and revised the design of the manuscript and BA participated by
coordination funding of the study. All authors read and approved the final
manuscript.
Acknowledgements
We express our thanks to the Laboratory of Analysis, Treatment and
Valorization of Products and Pollutants of the Environment for supporting
of our work. As we are grateful to agent of DGPA (Direction Générale de la
Pêche et l’Aquaculture) and CRDA (Commissariat Régionale
développement Agricole ) in Monastir to made fishery data available. We
acknowledge also the manuscript improvement by anonymous reviewers
and English improvement by Afifa (ISBM Monastir, Tunisia)
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