Uncovering the emerging concerns in monitoring and management of Nematopalaemon tenuipes Aramang fisheries: Towards the design, development and implementation of an IT solution

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Research Paper 01/06/2019
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Uncovering the emerging concerns in monitoring and management of Nematopalaemon tenuipes Aramang fisheries: Towards the design, development and implementation of an IT solution

Billy S. Javier
J. Bio. Env. Sci.14( 6), 298-308, June 2019.
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Fishers and locals’ knowledge along abundance and catch areas of the endemic specie, Nematopalaemon tenuipes, is very limited, hence affecting production and economic stability in the area considering weather and water parameters, and pricing. This study focused on uncovering the emerging concerns in monitoring the fishing practices towards the design, implementation and testing of a Geographic Information System (GIS)-Based Mapping and Prediction for Nematopalaemon tenuipes Aramang Fisheries with Decision Tree Algorithm. Conducted in Aparri Philippines, descriptive data was obtained thru a validated 5-point Likert survey-questionnaire among 40 participants composed of IT experts, Fisheries and Marine Sciences experts, agriculture office staff, and members of the Aparri Aramang Fishers’ Association. Additionally, interview guide and documentary analysis elicited additional data. Findings presented a varying concern along the management, operations, and monitoring of catch and production of the endemic Aramang both among fishers and concerned office. Further, results showed a need to implementing an information system embedding decision support system with prediction and the provision of GIS-based catch maps necessary to providing meaningful information to fishers saving their fuel resources, time, and cost in fishing. While Aramang fishing greatly aids in economic development, production trend data tends to reveal overfishing, posing challenges on conservation and management of the specie and sustainability of livelihood to fishers’ families. The design, implementation and utilization by the local agriculture office of a viable system will serve as decision-support and IEC tool for reconsidering the open and closed season of Aramang catch aiding to conservation and management towards sustainability.


Abdelaziz T, Elammari M, Bani W. 2015. Applying the ISO Standard in Assessing the Quality of Software Systems. American Journal of Computer Science and Information Engineering 2(3), 28-32. Retrieved from www.aascit.org/journal/ajcsie

Alagappan M, Kumaran M. 2013. Application of Expert Systems in Fisheries Sector – A Review. Research Journal of Animal, Veterinary and Fishery Sciences 1(8), 19-30. Retrieved January 2018, from www.isca.in

Alum-Udensi O, Egesi CO, Uka A. 2016. Applications of GPS and GIS in Aquaculture and Fisheries. International Journal of Agriculture and Earth Science 40-43.

Ayson JP, Encarnacion AB. 2008. Marine Resources in Areas Along the Kurushio in the Cagayan Valeey Region, Philippines. Kurushio Science 59-66. Retrieved March 2018

Barnett AJ, Wiber MG, Rooney MP, Curtis Maillet DG. 2016. The role of public participation GIS (PPGIS) and fishermen’s perceptions of risk in marine debris mitigation in the Bay of Fundy, Canada. Ocean and Coastal Management, 85-94. Retrieved March 2018, from www.elsevier.com/ locate/ocecoaman.

Bhendekar SN, Shenoy L, Raje SG, Chellappan A, Singh R. 2016. Participatory GIS in trawl fisheries along Mumbai coast, Maharashtra. Indian Journal of Geo-Marine Sciences 45(8), 937-942. Retrieved April 2018.

Bjørn Magnus Mathisen PH. 2016. Decision Support Systems in Fisheries and Aquaculture: A systematic review. Retrieved February 2018, from Cornell University Library: https://arxiv.org/abs/ 1611.08374

Carrick NA, Ostendorf B. 2005. Development of a Spatial Decision Support System (DSS) for the Spencer Gulf Penaeid Prawn Fishery, South Australia. Retrieved from Research Gate: https://www. researchgate. et/publication/228571377_Development_of_a_Spatial_Decision_Support_System_DSS_for_the_Spencer_Gulf_Penaeid_Prawn_Fishery_South_Australia.

Culasing RR, Molina LP, Layugan EA, Rabanal Jr SR, Amog LG. 2013. Biology, Conservation, and Management of Nematopalaemon tenuipes (Aramang) Fishery. IAMURE International Journal of Ecology and Conservation 8, 96-115.

Culasing RR. 2010. Some Aspects of Biology and Management Nematopalaemon tenuipes, Spider Shrimps (Alamang). Technical Report. Retrieved March 2018.

Department of Agriculture – Bureau of Agricultural Research. 2016. Research and Development, and Extension Agenda and Programs 2016-2022. Retrieved April 2018, from DA-BAR Website: http://www.bar.gov.ph/downloadables.

Dhaka BL. 2016. Farmers’ experience with ICTs on transfer of technology in changing agri-rural environment. Indian Research Journal of Extension Education 10(3), 114-118.

Enever R, Lewin S, Reese A, Hooper T. 2017. Mapping fishing effort: Combining fishermen’s knowledge with satellite monitoring data in English waters. Fisheries Research, 67-76. Retrieved from www.elsevier.com/locate/fishres

FAO. 2016. The State of World Fisheries and Aquaculture 2016. Contributing to Food Security and Nutrition for All, 200. Rome, Italy. Retrieved May 2018.

FAO. 2018. Fishery and Aquaculture Country Profiles. Retrieved March 2018, from FAO: http://www.fao.org/fishery/facp/PHL/en

FCSI. 2014. Asian Shrimp: The Murky World of the Supply Chain. Retrieved from Food Service Consultants Society International: https://www.fcsi.org/foodservice-consultant/asia-pacific/asian-shrimps-the-murky-world -of-the-supply-chain/

Goddard T, Kryzanowski L, Cannon K, Izaurralde C. 2011. Potential for Integrated GIS-Agriculture Models for precision Farming systems. Retrieved from UCSB Website: http://www.ncgia.ucsb. edu/conf/SANTA_FE_CD-ROM/ rd_tom/960119.html

Hentry C, Rayar SL, Saravanan S, Chandrasekar N, Raju P. 2011. Application of Gps in Fisheries and Marine Studies. International Journal of Advanced Research in Computer Science 2(6).

Javier BS. 2019. Higher education enrolment decision support system (Heeds) in the lens of the stakeholders of a state university in northern Philippines. Asian Academic Research Journal of Multidisciplinary 7(4), 79-91. Retrieved June 2019.

Kapetsky J, Aguillar-Manjarez J. 2007. Geographic information systems, remote sensing and mapping for the development and management. FAO. Retrieved March 2018, from http://www.fao.org/docrep/009/ a0906e /a0906e.pdf

Layugan EA. 2018. Aramang Production Trend: Before and After. (B. Javier, J. Agoto, J. Agpalza, E. Daluddung, L. Amog, Interviewers, A. Talosa, Editor, L. Molina, J. Sumer, & A. Talosa, Translators)

Local Government Unit of Aparri. 2015. Municipal Ordinance No. 151, s2015. An Ordinance Adopting the Strict Implementation of a Closed Season of Aramang Catching in the Municipal Waters of Aparri Cagayan. Retrieved March 2018.

M, A-MA, Ezekiel MS, Ndahi BY, MM. 2014. Integrated GIS and Satelite Remote Sensing in Mapping the Growth, managing and Production of Inland Water Fisheries and Aquaculture. European Scientific Journal 1857-7881.

Marciniak M. 2009. Information technology application in fisheries management system. Studies & Proceedings of Polish Association for Knowledge Management 56-63.

Meaden G. 2010. GIS in Fisheries Management. GeoCoast, 82-101.

Mohemad RH. 2010. Decision support systems (DSS) in construction tendering processes. Inter. J. Comp. Sci 7, 35-45. Retrieved February 2018

Molina LP, Urmaneta WS, Rabanal SR, Amaba ST. 2013. Catch, Effort, and Socio-Economic Dynamics of FIlter Net Fishery in Aparri Cagayan River Estuary – A Preliminary Study. International Journal of Ecology and Conservation 146-167. doi:http://dx.doi.org/10.7718/ijec.v711.732

Municipal Committee of Fisheries and Agriculture. 2015. Municipal Ordinance No. 151 Series of 2015. Aparri: Local Government Unit of Aparri.

Nath JPM. 2000. Applications of geographical information systems (GIS) for spatial decision support in aquaculture. Aquacultural Engineering 23(1), 233-278. Retrieved April 2018, from http://publish.uwo.ca/~jmalczew/abstracts.htm

Nurdin S, Mustapha M, Lihan T, Ghaffar M. 2015. Determination of Potential Fishing Grounds of Rastrelliger Kanagurta Using Satellite Remote Sensing and GIS Technique. Sains Malaysiana, 44(2), 225-232. Retrieved August 2018.

Pettit C, Pullar D. 2009. An integrated planning tool based upon multiple criteria evaluation of spatial information. Computers, Environment and Urban Systems 339-357.

Philippine Statistics Authority. 2017. Fisheries Statistics of the Philippines (2014-2016). Manila: Philippine Statistics Authority. Retrieved from http://psa.gov.ph.

Radiarta INI. 2011. Aquaculture site selection for Japanese kelp (Laminaria japonica) in southern Hokkaido, Japan, using satellite remote sensing and GIS-based models. ICES Journal of Marine Science 773-780.

Rodriguez TA. 2014. Aparri Cagayan Town Fiesta Opens with Veggies and Aramang. Retrieved 2018, from AGRIMAG: agriculture.com.ph/2018/03/03/ aparri-cagayan-town-fiesta-opens-with-veggies-and-aramang

Rumson AG, Hallett SH, Brewer TR. 2017. Coastal risk adaptation: the potential role of accessible geospatial Big Data. Marine Policy 100-110. Retrieved April 2018, from www.elsevier.com/ locate/marpol

St Martin K. 2009. GIS in Marine Fisheries Science and Decision-Making. GIS in Fisheries 6, 237-258. Retrieved March 2018.

Supriatna AK, Sholahuddin A, Ramadhan AP, Husniah H. 2016. SOFish ver. 1.2 – A Decision Support System for Fishery Managers in Managing Complex Fish Stocks. IOP Conference Series: Earth and Environmental Sciences. Retrieved March 2018.

Teniwut Y. Marimin K. 2013. Decision support system for increasing sustainable productivity on fishery agroindustry supply chain. Advanced Computer Science and Information Systems. Retrieved from IEEE Xplore Digital Library.

Tidwell V, Moreland B, Shaneyfelt C, Kobos P. 2018. Mapping water availability, cost and projected consumptive use in the eastern United States with comparisons to the west. Environmental Research Letters. Retrieved from https://doi.org/10.1088/ 1748-9326/aa9907

Truong T, Rothschild BJ, Azadivar F. 2005. Decision support system for fisheries management. DOI: 10.1145/1162708.1163075

World of Register of Marine Species. 2018. Tenuipes (Henderson, 1893). Retrieved March 2018, from WORMS: http://www.marinespecies.org/aphia. php?p=taxdetails&id=220144.