The use of GIS for the integration of traditional and scientific knowledge in supporting artisanal fisheries management in southern Brazil

Freitas, Débora M. de; Tagliani, Paulo Roberto Armanini

doi:10.1016/j.jenvman.2007.08.026

Cited by 68 publications

(42 citation statements)

References 30 publications

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“…Weighted point data were transformed to a continuous surface (Figure 1c), providing more information on the relative intensity of fishing activity in different areas [45]. The probability distribution of fishing activity was assessed from the sample of weighted sightings using a kernel density estimate (KDE) [64], producing a raster image of cell size 100 m x 100 m. A smoothing factor of 1000m (which determines the area around a given location within which data points contribute to the probability estimate for that point [65]), was chosen for the KDE analysis following discussion of a range of options with local fishers and NIFCA Fishery Officers.…”

Section: Observed Fishing Activitymentioning

confidence: 99%

“…This acknowledges the role of local knowledge and expertise to corroborate or supplement scientific knowledge, and for cooperation with fishers to help highlight areas of conflict that may influence the success of MSP [37][38][39]. Data collected can be combined with other spatial information using geographic information systems (GIS) and incorporated in spatial analysis [19,34,[40][41][42][43][44][45]. Interview data may provide a better representation of resource use at fine spatial scales than other socio-economic data [46], yet there remain methodological questions as to how such data compare with those collected through more formal monitoring programmes.…”

Section: Introductionmentioning

confidence: 99%

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Mapping inshore fisheries: Comparing observed and perceived distributions of pot fishing activity in Northumberland

2015

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Highlights• We compare distributions of inshore potting activity mapped by two data sources.• Maps based on vessel sightings and interview data are correlated at multiple ports.• Vessel sightings and map-based interview data have unique limitations and merits.• Triangulation of datasets is recommended to inform marine spatial planning. AbstractMarine spatial planning (MSP) is increasingly promoted as part of an ecosystem-based approach to marine resource management. Impacts of MSP may be particularly great in inshore fisheries, yet despite their vulnerability, assessing potential impacts of spatial measures on inshore fisheries is limited by data scarcity, and the comparability of patterns of fishing activity produced by different data sources is poorly understood. This study contributes to the debate around information needs for MSP by describing the distribution of lobster potting activity at four ports in Northumberland, UK, using two sources of spatial data: observed fishing vessel sightings by patrol vessels and perceived fishing activity elicited through interviews with local fishers. The comparability of the distributions of potting activity mapped by the two datasets was explored using Mantel tests and overlap of fishing hotspots identified. Fishing activity at all ports tended towards an aggregated or patchy distribution, with hotspots located in inshore areas in close proximity to vessels' home ports. The two datasets were correlated at each port, though the strength of correlation varied among ports, being greater in ports with more highly aggregated fishing activity. Results suggest that vessel sightings are likely to better represent variable intensity of fishing activity, while interview data may more accurately capture the absolute extent of grounds important to fishers. This study highlights some of the merits and limitations of two available data sources currently used to inform fisheries management and marine conservation planning, and outlines an approach to assessing the consistency of datasets in describing the spatial distribution of activity. Given the limitations of individual datasets, we recommend triangulation of available data to inform MSP, alongside qualitative data on fishers' behaviour.

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Section: Observed Fishing Activitymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Mapping inshore fisheries: Comparing observed and perceived distributions of pot fishing activity in Northumberland

2015

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“…In management, it may help design appropriate spatial regulations and strategies, including Marine Protected Areas (MPAs). Methods for identifying fishing grounds often rely on anecdotal information provided by fishermen (Daw, 2008;De Freitas and Tagliani, 2009;Teh et al, 2012;Gorris, 2016;Wallace et al, 2016). Although useful for some purposes, this approach lacks precision on the exact location of the fishing grounds and allocation of fishing effort among them.…”

Section: Introductionmentioning

confidence: 99%

Participatory Boat Tracking Reveals Spatial Fishing Patterns in an Indonesian Artisanal Fishery

et al. 2017

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The Spermonde Archipelago holds one of the largest artisanal fisheries in Indonesia, providing livelihoods for local communities and many other people involved in international trade networks of seafood. High demand and a lack of enforcement of existing fisheries regulations turn into high pressure for the coral reef ecosystem, contributing to its overall degradation. Estimations on the ecological impacts of different levels of fishing pressure, as well as fisheries stock assessments and marine resource management require precise information of the spatial distribution of fishing effort, which involves great uncertainty when only anecdotal information is considered. We explored the feasibility of applying participatory boat tracking to complement fisheries data during the NW monsoon season 2014-2015. We conducted interviews, measured catch landings, and distributed GPS data loggers among hook and line fishermen to identify fishing grounds by gear-dependent patterns of boat movement. Most of the fishing activities involved two gears (octopus bait and trolling line for live groupers) and three fishing grounds. The mass of catch landings was dominated by Octopoda (CPUE = 10.1 kg boatday −1 ) while the most diverse group was the fish family Serranidae, with Plectropomus leopardus being the main target species. In conclusion, boat tracking combined with interviews and catch surveys has proven a useful tool to reduce uncertainty in information on spatial resource use, while allowing a high level of participation by fishermen.

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“…Researches that integrates local culture have been carried out by a different research focus, some of which are: focus on zonation (Kosmaryandi 2012a;Kosmaryandi 2012b;Freitas &Tagliani 2009), difference, methods and process integration (Bohensky & Maru 2011), vegetation classifications (Naidoo & Hill 2006), traditional ecological knowledge of species population (Fraser et al 2006;Gagnon & Berteaux 2009;Moller et al 2004). While the purpose of this study was to analyze local knowledge resource conservation of biodiversity in Manggarai culture with ethnographic studies and integrate it with conservation…”

Section: Introductionmentioning

confidence: 99%

Integrating Local Culture into Forest Conservation: A Case Study of The Manggarai Tribe in Ruteng Mountains, Indonesia

Iswandono¹,

Zuhud²,

Hikmat³

et al. 2015

jtfm

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The use of GIS for the integration of traditional and scientific knowledge in supporting artisanal fisheries management in southern Brazil

Cited by 68 publications

References 30 publications

Mapping inshore fisheries: Comparing observed and perceived distributions of pot fishing activity in Northumberland

Mapping inshore fisheries: Comparing observed and perceived distributions of pot fishing activity in Northumberland

Participatory Boat Tracking Reveals Spatial Fishing Patterns in an Indonesian Artisanal Fishery

Integrating Local Culture into Forest Conservation: A Case Study of The Manggarai Tribe in Ruteng Mountains, Indonesia

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