Identification and Characterization of  M&amp;amp;eacute;tiers in Multi-Species Artisanal Fisheries.  A Case Study in Northwest Spain

González-Álvarez, Javier; García-de-la-Fuente, Laura; García‐Flórez, Lucía; Fernández-Rueda, Ma del Pino; Alcázar-Álvarez, Jorge

doi:10.4236/nr.2016.76026

Cited by 13 publications

(14 citation statements)

References 38 publications

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“…Due to the lack of information from logbooks, regular questionnaire surveys and onboard observations are recommended in the future, at the scope of a sampling program, using surveys and Local Ecological Knowledge (LEK) [47,48].…”

Section: Conclusion and Further Developmentsmentioning

confidence: 99%

Identifying Métiers Using Landings Profiles: An Octopus-Driven Multi-Gear Coastal Fleet

Szynaka

Erzini

Gonçalves

et al. 2021

JMSE

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The multi-gear coastal vessels in the Algarve (South Portugal) own licenses for various fishing gears. However, it is generally uncertain what gears they use, which is problematic as each individual gear is responsible for unique impacts on the resources and the environment. In this study, landing profiles identified for the multi-gear coastal fleet (2012–2016) were used as support in defining potential métiers using k-mean clustering analysis (CLARA) along with information from past studies on métiers. The results showed that more than 50% of the vessels were engaged in the octopus fishery year-round, using traps, while a small percentage (~13%) were entirely dedicated to clam dredging. In general, gillnets (21%) were used to target monkfish, hake and bastard soles, while trammel nets (6%) were used to target cuttlefish, with some vessels alternating the fishing gears (either seasonally or annually) according to target species. The method for the initial characterization of this fleet’s métiers and its efficiency with limited data is discussed, as well as the utility of this segmentation in support of management advice.

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Section: Conclusion and Further Developmentsmentioning

confidence: 99%

Identifying Métiers Using Landings Profiles: An Octopus-Driven Multi-Gear Coastal Fleet

Szynaka

Erzini

Gonçalves

et al. 2021

JMSE

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“…Surís-Regueiro and Santiago (2014) described the relationship between coastal and marine fisheries dependency and employment by characterizing income and employment from fisheries in Galicia, Spain. Some studies have acknowledged the challenge on enhancing artisanal fisheries management due to their open access nature (KMFRI, 2008;González-Álvarez et al, 2016;Siddons et al, 2017). Other studies have narrowed the focus and characterized catch by different gears in different sites to determine fishing effort for fisheries management (Laurence et al, 2015;Munga et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

Characterisation of artisanal catches in selected fishing areas of the Lower Tana Delta and Malindi-Ungwana Bay, Kenya

Dzoga

Simatele

Munga

2020

West Ind. Oc. J Mar. Sci.

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Shore-based assessment of fisheries resources in Ngomeni, Kipini and Ozi fishing areas of Malindi-Ungwana Bay and the Lower Tana Delta on the north coast of Kenya was conducted from January to December 2017 to establish catch composition, species richness, and fishing effort (catch-rate, number and types of fishing gears and crafts) in the marine, estuarine and riverine habitats. Distinct catch composition (R = 0.27, P < 0.05) was observed across the three habitats. Catch composition differed significantly spatially and seasonally across the three fishing areas, and between the north east (NE) and south east (SE) monsoon seasons (R = 0.332, P < 0.05). The wolf herring, Chirocentrus dorab, was the most abundant fish species in Ngomeni, centrally located in Malindi-Ungwana Bay, while the catfishes, Arius africanus and Clarias gariepinus, were the most abundant species in Kipini and Ozi, respectively. Gillnets operated from dhows (mashua) and fibre-reinforced plastic (FRP) boats in Ngomeni (marine), and canoes using-basket traps in Ozi (riverine), landed significantly larger Spanish mackerel, Scomberomorus commerson, and sea catfish, Arius africanus (Kruskal Wallis test: Df = 2; F = 197.141; p < 0.001; Df = 2, F = 490, p < 0.001), respectively. Species diversity by area in combination with habitat and type of fishing craft showed higher diversity for Ngomeni in the marine habitat with mashua fishing crafts than in Kipini. Significantly different catch rates (Df = 2, F = 10.43, p<0.001; Df = 1, F = 5.897, p < 0.021) were observed in the three (3) fishing areas and during the NE monsoon and the SE monsoon, respectively. Canoes were the most common fishing craft used, especially in Ngomeni, accounting for 37.1%, and 97.5% in Ozi, while mashua crafts accounted for 44.5% of the total fishing craft in Kipini. Monofilament nets were most common in Ngomeni (34.0%) while basket traps dominated the Ozi site at 63.6%. The Kipini area was dominated by handlines (28.8%). It is therefore evident that the three (3) fishing areas of the Malindi-Ungwana Bay and Lower Tana Delta showed significant differences in catch composition and size of fish caught, attributed partly to the variation in habitat types and fishing methods between the sites. Overall, the Ngomeni area was characterized by more advanced fishing craft with the majority powered by engines, including mashua and FRP boats, compared to Kipini and Ozi fishing areas where canoes were dominant.

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“…On the other hand, professional small-scale fisheries (SSF), carried out by vessels of an overall length of less than 12 m and not using towed fishing gear [ 11 ], are excluded from this scenario even though they may comprise a large part of national fleets and a large number of people employed/dependent on these fisheries [ 12 ]. SSF mainly involves the use of traditional passive gears to target multiple resource species [ 13 , 14 , 15 ] and operates in coastal areas, where many other users considerably compete for space and resources [ 16 ] and where sensitive and priority habitats for fisheries are located.…”

Section: Introductionmentioning

confidence: 99%

Addressing Gaps in Small-Scale Fisheries: A Low-Cost Tracking System

Tassetti

Galdelli

Pulcinella

et al. 2022

Sensors

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During the last decade vessel-position-recording devices, such as the Vessel Monitoring System and the Automatic Identification System, have increasingly given accurate spatial and quantitative information of industrial fisheries. On the other hand, small-scale fisheries (vessels below 12 m) remain untracked and largely unregulated even though they play an important socio-economic and cultural role in European waters and coastal communities and account for most of the total EU fishing fleet. The typically low-technological capacity of these small-scale fishing boats—for which space and power onboard are often limited—as well their reduced operative range encourage the development of efficient, low-cost, and low-burden tracking solutions. In this context, we designed a cost-effective and scalable prototypic architecture to gather and process positional data from small-scale vessels, making use of a LoRaWAN/cellular network. Data collected by our first installation are presented, as well as its preliminary processing. The emergence of a such low-cost and open-source technology coupled to artificial intelligence could open new opportunities for equipping small-scale vessels, collecting their trajectory data, and estimating their fishing effort (information which has historically not been present). It enables a new monitoring strategy that could effectively include small-scale fleets and support the design of new policies oriented to inform coastal resource and fisheries management.

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Identification and Characterization of M&eacute;tiers in Multi-Species Artisanal Fisheries. A Case Study in Northwest Spain

Cited by 13 publications

References 38 publications

Identifying Métiers Using Landings Profiles: An Octopus-Driven Multi-Gear Coastal Fleet

Identifying Métiers Using Landings Profiles: An Octopus-Driven Multi-Gear Coastal Fleet

Characterisation of artisanal catches in selected fishing areas of the Lower Tana Delta and Malindi-Ungwana Bay, Kenya

Addressing Gaps in Small-Scale Fisheries: A Low-Cost Tracking System

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