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Simulation Model for Evaluating the Response of Management Options on the Demersal Resources of Tamil Nadu Coast

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Relation http://eprints.cmfri.org.in/5722/
 
Title Simulation Model for Evaluating the Response of Management Options on the Demersal Resources of Tamil Nadu Coast
 
Creator Sathianandan, T V
Jayasankar, J
 
Subject Analytical models
Demersal Fisheries
 
Description The response of different management options on demersal fish catch in Tamil Nadu was
examined using simulation model and time series data on catch and effort of demersal resources
in Tamil Nadu during 1989-2005. For the simulation study surplus, production model and spectral
models were used to simulate effort, yield and biomass. Genetic algorithm was used to estimate
parameters of surplus production model. Effort, biomass and yield were simulated for the period
2006 to 2015 under different levels of effort such as reducing by 25%, 50%, and 75% of present
level increasing by 25%, 50%, 75% and 100% of present level and also for the present level.
The simulation results revealed that when the level of exploitation is kept at 25%, 50%, 75%,
and 100% of the present level, the yield falls below the maximum sustainable yield (MSY) level
and the biomass is kept above its MSY level. When the exploitation level is increased by 25% of
the present level of exploitation, the yield falls below the MSY level in the years up to 2013 and
the biomass remains above that at MSY level. But at this level of exploitation, the yield falls
above the MSY level and the biomass falls below its MSY level for the years 2014 and 2015.
The optimum exploitation level was worked out as 91.25% of the present level of exploitation.
 
Publisher Asian Fisheries Soceity; Malaysia
 
Date 2009
 
Type Article
PeerReviewed
 
Format application/pdf
 
Language en
 
Identifier http://eprints.cmfri.org.in/5722/1/6.pdf
Sathianandan, T V and Jayasankar, J (2009) Simulation Model for Evaluating the Response of Management Options on the Demersal Resources of Tamil Nadu Coast. Asian Fisheries Science, 22 (2). pp. 681-690.