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Using Participatory Methods to Assess Data Poor Migrant Fisheries in Kenya
Linnaeus University, Faculty of Health and Life Sciences, Department of Biology and Environmental Science. SocMon/CORDIO, Kenya.ORCID iD: 0000-0003-0317-5271
SocMon/CORDIO, Kenya;Technical Services Directorate, Kenya.
Bangor University, UK.
eCentre for Environment, Fisheries and Aquaculture Science (CEFAS), UK.
2018 (English)In: Human Dimensions of Wildlife, ISSN 1087-1209, E-ISSN 1533-158X, Vol. 23, no 6, p. 569-586Article in journal (Refereed) Published
Abstract [en]

Spatial information is limited for artisanal fisheries management and almost entirely absent for migrant fishers. Here, we addressed this data gap for East African migrant fishers via participatory mapping methods. We worked with 14 migrant fishing vessels operating from four fish landing sites in Kenya. We monitored individual vessels using GPS tracking to produce fishing ground intensity maps. We then generated fishing preference maps via focus group discussions. The fishing intensity maps provided high-resolution spatial information on fishing activities, whereas the fishing preference maps identified preferred fishing grounds. These two techniques generally showed high agreement. By further integrating these two fisher coproduced maps with supplemental vessel logbook data, it is clear that any spatial management measures would most affect migrant fishers using ringnets, hook and line, and cast nets gear. Our successful application of low-technology participatory mapping techniques to provide geospatial fisheries data have broad application to data poor fisheries worldwide.

Place, publisher, year, edition, pages
Taylor & Francis, 2018. Vol. 23, no 6, p. 569-586
Keywords [en]
artisanal fisheries, fishing preference, GPS tracking, mapping, PGIS
National Category
Agricultural Science, Forestry and Fisheries
Research subject
Natural Science, Ecology
Identifiers
URN: urn:nbn:se:lnu:diva-76516DOI: 10.1080/10871209.2018.1488304ISI: 000450452900006OAI: oai:DiVA.org:lnu-76516DiVA, id: diva2:1228788
Available from: 2018-06-28 Created: 2018-06-28 Last updated: 2018-12-06Bibliographically approved

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Wanyonyi, Innocent Ngao

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Citation style
  • apa
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