Seasonal and Spatial Growth Patterns of Shrimps Collected from Some Selected Creeks of Sindh, Pakistan
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Keywords

 GIS, Length-Weight Relationships, Stock Assessment, Prawn Trawl, Creek environment, coefficient of correlation and coefficient of determination.

How to Cite

Faiza Sarwar, & Jamil H. Kazmi. (2014). Seasonal and Spatial Growth Patterns of Shrimps Collected from Some Selected Creeks of Sindh, Pakistan. Journal of Basic & Applied Sciences, 10, 366–376. https://doi.org/10.6000/1927-5129.2014.10.48

Abstract

Shrimps are very important part of the export economy of Pakistan. They share about 60 % the total exports of the sea food. For the studies of shrimp health, the length-weight studies are critical for the evaluation of the shrimp stocks. In this paper an attempt has been made to explore the Length-weight relationships of the shrimps at the creeks zone of Sindh coast (the study area). Furthermore, the impacts of seasonal change on the growth of shrimps (length and weight treated as parameter) have been evaluated. The main objective of this study is to analyze the seasonal and spatial pattern of growth and condition of the selected shrimp species. For this purpose, three most abundant shrimp species Penaeus indicus, Metapenaeus affinis and Exopalaemon styliferus have been selected out of 30 found at the coastal creeks areas of Sindh, Pakistan from April 2013 to January 2014. Pre and Post-Monsoon seasonal changes were analyzed through Geographic Information Science (GIS) and universally accepted equation for LWRs logW = alogLb were applied on three species selected. It has been found that post-monsoon is the ideal period for shrimp catch for three species. LWRs (growth pattern) found stable in Penaeus indicus and Metapenaeus affinis while predicting an alarming deteriorated situation for Exopalaemon styliferus at creeks zone.

https://doi.org/10.6000/1927-5129.2014.10.48
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References

Food and Agricultural Organization. The state of world fisheries and aquaculture. Rome: Food and Agriculture Organization of the United Nations 2009.

Khan N. Marine resources in Pakistan:A tentative inventory. Karachi: Pakistan Business Review 2011.

Government of Pakistan. National policy and strategy for fisheries and aquaculture development in Pakistan part 1. Islamabad: Ministry of Food, Agriculture and Livestock, Governemnt of Pakistan 2006.

Government of Pakistan. Fisheries, Sindh-the land of endless opportunities. Karachi: Sindh Board of Investment 2008.

Government of Pakistan. Investment oppurtunities in fisheries sector of Sindh. Karachi: Sindh Board of Investment 2012.

Olawusi-Peters OO, Ajibare OA, Olusoji-Bello OA. Length-weight relationship and condition factor of shrimps in coastal waters of Ondo state, South West, Nigeria. Int J Fish Aquat Stud 2014; 1: 137-42.

Orhan AK, Kutlu S, Aydm I. Length-Weight Relationship for 16 fish species from the Eastern Black Sea, Türkiye. Turk J Fish Aquat Sci 2009; 9: 125-26.

Khan MA, Qureshi N, Imad A. Population dynamics of killifish Aphaniusdispar (Rüppel) in Sandspit area of Karachi. Pak J Marine Sci 1996; 5: 41-46.

Khatoon Z, Paperno R, Hussain SM. Length-Weight relationship of five fish species collected from Manora Channel and associated backwaters of the northern Arabian Sea. J Appl Ichtyol 2014; 30: 235-38. http://dx.doi.org/10.1111/jai.12183

Ricker WE. Linear Regression in fisheries research. J Fish Res Board Can 1973; 30: 409-34. http://dx.doi.org/10.1139/f73-072

Food and Agricultural Organization. Advances in Geographic Information Systems and Remote Sensing for fisheries and aquaculture. Rome: Food and Agriculture Organization of the United Nations 2013.

Ahmed Q, Yousuf F, Siddiqui S, Türkmen M. Seasonal variation in length, weight and condition factor in Katsuwonus pelamis from the coast of Karachi, Pakistan. The Black Sea J Sci 2012; 2: 82-89.

Gujrati DN. Basic Econometrics, New York: The McGraw-Hill companies 2004; 1004.

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Copyright (c) 2014 Faiza Sarwar , Jamil H. Kazmi