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Stock assessment models and methods

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Relation http://eprints.cmfri.org.in/12173/
 
Title Stock assessment models and methods
 
Creator Srinath, M
 
Subject Analytical models
Stock Assessment
 
Description Fish stocks have an important role in providing cheap protein food, income and employment
to millions of people in the world. Judicious management and exploitation of the renewable
fish resources is important for sustained production over years. Over fishing leads to
disappearance of the renewable fish stocks. Assessment of fish stocks is the first step to
determine the level of exploitation necessary for arriving at maximum sustainable yields from
the fish resources. Assessment of stocks and study of impact of present level of exploitation
on exploited stocks are necessary for maintenance of stocks at maximum sustainable level.
Many mathematical and statistical models have been developed and used for fish stock
assessment studies. The unique features of fish stocks are, they do not come under visual
horizon for direct evaluation of stock sizes, their distribution over space, time and species
varies at higher dimension and fish stocks are affected by fishery dependent factors such as
effort exerted, size at first capture and fishery independent factors like salinity, temperature,
water current etc. The models to study fish stocks should consider the three aspects namely,
size of the stock, level of exploitation and effect of fishery independent factors. Multi species
and multi gear situation adds to the problem of assessing the fish stock. Stock assessment
models satisfying some of these requirements have been developed and successfully used
for management of the fishery.
 
Publisher CMFRI; Kochi
 
Date 2017
 
Type Book Section
NonPeerReviewed
 
Format text
 
Language en
 
Identifier http://eprints.cmfri.org.in/12173/1/12-Stock%20assessment%20models%20and%20methods.pdf
Srinath, M (2017) Stock assessment models and methods. In: Course Manual Summer School on Advanced Methods for Fish Stock Assessment and Fisheries Management. Lecture Note Series No. 2/2017 . CMFRI; Kochi, Kochi, pp. 132-135.