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dc.contributor.advisorKeshav Prasad, Paudel
dc.contributor.authorLakmali, Achini
dc.date.accessioned2022-09-05T08:08:39Z
dc.date.available2022-09-05T08:08:39Z
dc.date.issued2022-05-16
dc.description.abstractAbstract The Fishing industry play a major role in socio-economic context of Sri Lanka. Even though, there is a significant potential to develop the fishing industry in country, the current economic performances of the industry are not satisfactory due to poor management mechanisms. It is essential to implement sustainable management approaches in order to achieve socio-economic and environmental sustainability. The analysis of the spatial and temporal distribution of fishery resources is an important step toward sustaining the resources. However, acquiring data about the distribution and spatiotemporal allocation of catch and fishing efforts in commercial marine fisheries remains challenging. This study aims to investigate the distribution pattern of the longline tuna fishery and identify sustainable fishing grounds in Sri Lanka. The study uses the fisheries data from VMS and logbook between 2015 until 2019, obtained from the Department of fisheries and aquatic resources. The socio-economic data were collected from thirty multiday boat fishermen covering the south, west and east coasts using a semi-structured questionnaire. The study is based on Geographic Information System (GIS) and descriptive statistical analysis. The results of the GIS-based analysis show high variations in catch and catch per trip distribution patterns by years and seasons. Hotspots of fishing efforts, catches (quantity) and catch per trips (CPT) were identified. The results show the areas of clusters with high CPT values increased slightly after 2016. The hotspots map show that there is strong seasonal influences in the concentration of fishing efforts and catches. The socio-economic results confirm that Sri Lankan longline fishers predominantly use traditional ecological knowledge (TEK) to determine their potential fishing zone. Natural signs such as birds, floating, group information, and extreme oceanographic conditions such as waves, wind, and currents were the main factors that longline fishers use to decide where they will go fishing. The effective visualization and communication of identified and mapped seasonal, and annual as well as persistent and sustainable fishing grounds maps to stakeholders and managers may provide a great opportunity to sustainable management of fisheries in Sri Lanka. Moreover, the study shows the importance of integrating TEK to understand the fishers behavior in space and time and to support sustainable management of the fishery system.en_US
dc.identifier.urihttps://hdl.handle.net/10037/26626
dc.language.isoengen_US
dc.publisherUiT The Arctic University of Norwayen_US
dc.publisherUiT Norges arktiske universiteten_US
dc.rights.accessRightsopenAccessen_US
dc.rights.holderCopyright 2022 The Author(s)
dc.rights.urihttps://creativecommons.org/licenses/by-nc-sa/4.0en_US
dc.rightsAttribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)en_US
dc.subject.courseIDFSK-3910
dc.subjectVDP::Technology: 500::Information and communication technology: 550::Geographical information systems: 555en_US
dc.subjectVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550::Geografiske informasjonssystemer: 555en_US
dc.subjectVDP::Social science: 200::Social anthropology: 250en_US
dc.subjectVDP::Samfunnsvitenskap: 200::Sosialantropologi: 250en_US
dc.titleTrends in the Sri Lankan Longline Tuna Fishing Effort (2015-2019): A GIS-Based Spatial-Temporal Analysisen_US
dc.typeMaster thesisen_US
dc.typeMastergradsoppgaveen_US


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Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
Med mindre det står noe annet, er denne innførselens lisens beskrevet som Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)