A RELATIONAL DATABASE FOR INLAND FISHERIES RESOURCE MANAGEMENT
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Abstract
A relational database, named RRDBMS (River, Reservoir and Wetland Database Management System) has been developed with the objective of systematically storing data on various abiotic (morphological, sediment and water quality) and biotic (plankton, pheriphyton, macrobenthic organisms, macrophytes, gear wise and species specific fish catch) parameters of inland aquatic resources like river, reservoir, wetlands, etc. This software would facilitate in bringing scattered research data under one roof so that researchers and planners can use the inland fishery data at any point of time. The software has been developed in a user-friendly environment with menus and shortcuts, so that any user can operate the system easily.
Key words: Database, river, reservoir, wetland, RRDBMS, Visual Basic.
References
Tacon, G. J. A. 1996. Aquaculture Feeds and Feeding in the Next Millennium: Major challenges and Issues. Fishery Resource Officer, Inland Water Resources and aquaculture Service.
http://www.fao.org/ag/aga/agap/frg/econf95/PDF/ TACON.PDF. 13 p.
Nayak, A. K., Prem Kumar, Mahanta, P. C., Haldar, R. S. and Saxena, A. K. 2009. Development of user-friendly database software for Indian upland fishers. J. Inland Fish. Soc. India, 41 (2) : 1-5.
Chao, L. 2006. Database Development and Management, 1st Edn. AUERBACH. 607 p.
Connolly, T. M. and Begg, C. E. 2004. Database System: A Practical Approach to Design, Implementation and Management. 4thEdn. Addison Wesley. 1236 p.
Greenwald, R., Stackowiak, R., Dodge, G., Klein, D., Shapiro, B. and Ghelliah, C.G. 2005. Professional Oracle Programming, Wrox. 790 p.
Gupta, M. V. 2010. Aquatic biodiversity and aquaculture in the context of global warming and climate change. pp 3-5. Souvenir on 21st All India Congress of Zoology & National Seminar. 21-23
December, 2010; CIFRI, Barrackpore. Jena, J. K. and Sarkar, U. K. 2010. Biodiversity conservation and management of fish genetic resources: current scenario and priorities. pp 3-5. Souvenir on 21st
All India Congress of Zoology & National Seminar. 21-23 December, 2010; CIFRI, Barrackpore. Karunakaran, D. and Mohanty, B. P. 2006 Information technology - Potential Application in Fisheries.
Environ. & Ecol. 24 (2) : 359-365.
Niemiec, R. 2007. Oracle Database 10 g performances Tuning Tips and Techniques. 1st Edn., McGraw-Hill, Osborne Media. 967 p.
Ahmad, N., Khan, N., Ahmed N. Abd Alla and Abul Hashem Beg, 2010. A Novel Database Design for Student Information. Journal of Computer Science, 6 (1) : 43-46.
Rakesh Kumar, Singh, R. D. and Sharma, K. D. Water resources of India. 2005. Current science, 89 (5) : 794-811.
http://www.iisc.ernet.in/currsci/sep102005/794.pdf . 18p Silberschatz, A., Korth, H. and Sudarshan, S. 2005. Database System Concepts. 5th Edn., McGraw- Hill, Science/Engineering/Math, 1168 p.
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In case of publication of the article in the journal, author(s) are required to assign copyright to the Journal of the Inland Fisheries Society of India for its publication in any form/language including all media (print and electronic, or presently unknown), and exclusive right to use the matter for the life of the work (no time restriction on re use of matter).