Indigenous knowledge in participatory mapping of artisanal fishing zones :|ba case study of Angoche district, Nampula Province in Mozambique.

• Main Author: Hele, Ernesto Poiosse.
• Language: en_ZA
• Published: 2010
• Subjects: Fisheries > Mozambique.; Fish trade > Mozambique.; Traditional ecological knowledge > Mozambique.; Fishery management > Mozambique.; Subsistence fishing > Mozambique.; Theses > Environmental science.
• Online Access: http://hdl.handle.net/10413/343

Indigenous knowledge use in identifying artisanal fishing zones is the core issue in this dissertation. It seeks, on one hand, to show the potentially of this knowledge and to establish the relationships between indigenous and scientific knowledge in fishing zones identification and, on other the hand, it is also a trend for alleviating those fishing zones surrounding beaches, estuaries and bays highly exploited by artisanal fishermen. Pushing artisanal fishermen upward offshore and/or into the open sea, they will fish more quality and high economic value fish contributing to enhance their income. By so doing, artisanal fishermen will uplift their living standard and, at the same time, they will contribute to sustainable artisanal fisheries management. Angoche District in Nampula province, north of Mozambique is the study area. The study was carried out to describe the logical sequence underlying on the process of identifying artisanal fishing zones using indigenous knowledge. The relationship between indigenous and scientific knowledge is treated with particular attention. The nature of the study is descriptive and analytical based on qualitative and quantitative data. The method used for data collection was face-to-face interviews using structured and semi-structured open-ended questions. Data on socioeconomic, traditional and cultural practices, technological and climate characteristics were collected, analyzed and discussed. Factors underlying artisanal fishing zones were studied. Spatial and non-spatial information for artisanal fishing zones identification was recorded applying Global Positioning Systems (GPS) and, later, processed and analyzed employing Geographical Information Systems (GIS). Finally, a map showing the localization and distribution of the identified fishing zones in the study area was produced. Results from the research show that identification of fishing zones offshore or open sea can be done simply based on local indigenous knowledge. The GIS technology employment facilitates the inclusion of indigenous knowledge into other knowledge which can be used for local decision making. Sustainable fisheries management can only be achieved by developing a science based on the priorities of local people, and creating a technological base that includes both traditional and modern approaches to problem-solving. === Thesis (M.Env.Dev.)-University of KwaZulu-Natal, Pietermaritzburg, 2007.