Preferred Resource Spaces and Fisher Flexibility: Implications for Spatial Management of Small-Scale Fisheries

Teh, Lydia C. L.; Teh, Louise; Meitner, Michael J.

doi:10.1007/s10745-012-9464-9

Cited by 35 publications

(40 citation statements)

References 45 publications

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“…When the preference subcomponent was considered alone, removal of distance caused the largest change (median of 7% relative to base line) while removal of crowding caused almost no change. This is consistent with our understanding of the high importance fishers place on personal safety, which they strongly associate with distance when selecting fishing locations [38]. In fact, all fishing sites that gained in preference when distance was removed were those that belonged to the 'far' category, that is, located 8 km or more from the closest village.…”

Section: Discussionsupporting

confidence: 85%

“…Interview results supported this behaviour; hook and line and spear fishers generally preferred coral/reef substrate while some gill netters stated preference for sandy bottoms [38]. At the same time, with one exception, catch logs showed that fishers fished within the same area regardless of the type of gear they used (L. Teh, unpublished data).…”

Section: Discussionmentioning

confidence: 82%

See 1 more Smart Citation

A tool for site prioritisation of marine protected areas under data poor conditions

Teh

Pitcher

2012

Marine Policy

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Section: Discussionsupporting

confidence: 85%

Section: Discussionmentioning

confidence: 82%

A tool for site prioritisation of marine protected areas under data poor conditions

Teh

Pitcher

2012

Marine Policy

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“…Linking fishing grounds to particular resource users is important to help predict and minimise social impacts of MSP. Failure to account for the social context may lead to conflict as a result of spatial displacement of fishing activity, increased congestion, and disruption of customary or informal allocation of fishing grounds [11,68], particularly where there is a lack of flexibility in fishers' spatial patterns [15,71].…”

Section: Fishing Grounds: Extent and Aggregationmentioning

confidence: 99%

“…Understanding the distribution of fishing activity is important to assess potential impacts of MSP on fisheries, including identifying areas of economic importance to the fishing industry, and assessing possible loss of income or fishing effort displacement due to spatial closures [10,11]. Taking into account these impacts and likely behavioural responses of fishers may be critical to the success of spatial management measures [12][13][14][15].…”

Section: Introductionmentioning

confidence: 99%

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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“…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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Preferred Resource Spaces and Fisher Flexibility: Implications for Spatial Management of Small-Scale Fisheries

Cited by 35 publications

References 45 publications

A tool for site prioritisation of marine protected areas under data poor conditions

A tool for site prioritisation of marine protected areas under data poor conditions

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

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