Maximum Sustainable Yield Estimates of Scomberomorus spp. from Balochistan, Pakistan

ABSTRACT Pakistani fisheries resources are influenced by habitat destruction, pollution and over-exploitation. Therefore, it is necessary to evaluate fisheries resources prior to harvest. In this study, two specialized fishery software's viz. CEDA (catch and effort data analysis) and ASPIC (a s...

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Bibliographic Details
Published in:Pakistan journal of zoology 2019-12, Vol.51 (6), p.2199
Main Authors: Noman, Muhammad, Mu, Yong Tong, Mohsin, Muhammad, Memon, Aamir Mahmood, Kalhoro, Muhammad Talib
Format: Article
Language:English
Subjects:
Aquaculture industry
Biomass
Commercial fishing
Data analysis
Environmental degradation
Exploitation
Fish
Fisheries
Fisheries management
Fishery conservation
Fishery resources
Fishing
Goodness of fit
Growth models
Industrial productivity
Management
Methods
Population growth
Production management
Resource management
Scomberomorus
Scombrids
Sensitivity analysis
Software
Statistical analysis
Statistical tests
Stock assessment (Wildlife management)
Supply and demand
Sustainable yield
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Summary:ABSTRACT Pakistani fisheries resources are influenced by habitat destruction, pollution and over-exploitation. Therefore, it is necessary to evaluate fisheries resources prior to harvest. In this study, two specialized fishery software's viz. CEDA (catch and effort data analysis) and ASPIC (a stock production model incorporating covariates) are used to analyze the fishery output (FO) and fishery input (FI) data of Scomberomorus spp. to evaluate their fishery stock status in Pakistani marine waters from Balochistan coastline.Three surplus production models (SPMs) viz. Fox (F-M), Schaefer (S-M) and Pella-Tomlinson (PT-M) along with three error assumptions (EAs), log (L-EA), log normal (LN-EA) and gamma (G-EA), were used in CEDA while two SPMs, Fox (F-M) and logistic (L-M) were used in ASPIC. In CEDA, for initial proportion (IP) 0.9, F-M for L-EA and LN-EA estimated maximum sustainable yield (MSY) as 2593 t and 2282 t. However, G-EA produced minimization failure (MF). Estimated MSY for L-EA and LN-EA through S-M and PT-M were remained same viz. 3523 t and 4584 t, respectively. However, here G-EA assumption also showed MF. In ASPIC, for same IP, F-M and L-M estimated MSY as 2313 t and 5191 t. Overall, F-M results, in ASPIC, reveal highest goodness of fit R2 (0.937) values. The FO statistics reveal that this stocks is over-fished. Thus, it requires some proficient management and immediate steps to conserve this fishery resource for future generations.
ISSN:0030-9923
DOI:10.17582/journal.pjz/2019.51.6.2199.2207