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42 results for “small-scale fisheries”
Small-scale fisheries adaptations understudied in climate change hotspots - database
<p>Using a systematic review approach, we identified a global dataset of 301 reported adaptation responses of small-scale fishers to climate change. The adaptations were extracted from academic publications and grey literature (reports and Ph.D. theses) published from 2008 to 2020. The database provides coordinates and/or location, climate change hazard identified as motivating the response, small-scale fisher adaptation response, and any other stressor related to the response.</p>
Qualitative Data on 60 Small-Scale Fisheries: A socio-ecological rapid appraisal applied to cases from America (Colombia, Ecuador, and Mexico), Africa (Kenya, Madagascar, and Nigeria), and Europe (France and Spain)
<h2><span lang="EN-US">Dataset name</span></h2> <p><span lang="EN-US">Small_Scale_Fishery_Data_2023_v2 </span><span lang="EN-US"> </span></p> <h2><span lang="EN-US">Title</span></h2> <p><span lang="EN-US">Qualitative Data on 60 Small-Scale Fisheries: A socio-ecological rapid appraisal applied to cases from America (Colombia, Ecuador, and Mexico), Africa (Kenya, Madagascar, and Nigeria), and Europe (France and Spain). </span><span lang="EN-US"> </span></p> <h2><span lang="EN-US">Description </span></h2> <p><span lang="EN-US"> This dataset was created for the Fish2Sustainability research project, which aims to evaluate how small-scale fisheries (SSF) contribute to Sustainable Development Goals (SDGs). The dataset includes 60 case studies across eight countries and was developed using a rapid appraisal framework. The framework includes a four-step process: </span></p> <p><span lang="EN-US"> 1. Identifying specific SDG targets influenced by SSF;</span></p> <p><span lang="EN-US"> 2. Extracting relevant variables from UN indicators;</span></p> <p><span lang="EN-US"> 3. Gathering expert input via a questionnaire to score these variables;</span></p> <p><span lang="EN-US"> 4. Creating composite indicators to measure SSF performance against SDGs.</span></p> <p><span lang="EN-US"> The dataset contains raw data from step 3, case study details, variable scores, and comments from data collectors (contributing authors). The dataset is valuable for researchers interested in small-scale fisheries and socio-ecological systems. By incorporating expert judgments from individuals with expertise in SSF, particularly in data-poor contexts, the dataset offers a wealth of knowledge for conducting comparative analyses across different contexts.</span><span lang="EN-US"> </span></p> <h2><span lang="EN-US">Authors </span></h2> <p><span lang="EN-US">Léopold, M.1, Bitoun, R.E.2, Beckensteiner, J.3, Chuenpagdee, R.4, Fondo, E.N.5, Akintola, S.L.6, Bach, P.7, Frangoudes, K.8, Gaibor, N.9, Gutierrez-Cala, L.10, Massey, Y.7, Randrianandrasana, R.11, Razanakoto, T.11, Saavedra-Díaz, L.M.10, Schreiber Arias, M.12,13, Salas, S.14, Devillers, R.2,4 </span></p> <h3><span lang="EN-US">Affiliations </span></h3> <p><span lang="EN-US">1 ENTROPIE (IRD, University of La Reunion, CNRS, University of New Caledonia, Ifremer), c/o IUEM, Plouzané, France </span></p> <p><span lang="EN-US">2 Espace-Dev (IRD, Univ. </span>Montpellier, Univ. Guyane, Univ. La Réunion, Univ. Antilles, Univ. Nouvelle Calédonie), Montpellier, France</p> <p>3 AMURE (Ifremer, UBO, CNRS), Plouzané, France</p> <p><span lang="EN-US">4 Department of Geography, Memorial University of Newfoundland, St. John’s, NL, Canada</span></p> <p><span lang="EN-US">5 Kenya Marine and Fisheries Research Institute, Mombasa, Kenya</span></p> <p><span lang="EN-US">6 Department of Fisheries, Faculty of Science, Lagos State University, Nigeria</span></p> <p><span lang="EN-US">7 MARBEC, University of Montpellier, CNRS, Ifremer, IRD, Sète, France</span></p> <p>8 Université de Bretagne Occidentale: Brest, France</p> <p>9 Instituto Público de Investigación de Acuicultura y Pesca (IPIAP), Universidad del Pacifico (UPAC), Guayaquil, Ecuador</p> <p>10 Grupo de Investigación en Sistemas Socioecológicos para el Bienestar Humano (GISSBH), Programa de Biología, Universidad del Magdalena, Colombia</p> <p>11 Centre d’Etudes et de Recherches Economiques pour le Développement (CERED), Université d’Antananarivo, Madagascar</p> <p><span lang="EN-US">12 EqualSea Lab, Universidad Santiago de Compostela, A Coruña, Spain</span></p> <p><span lang="EN-US">13 School of Global Studies, University of Gothenburg, Gothenburg, Sweden</span></p> <p>14 Centro de Investigación y de Estudios Avanzados (CINVESTAV), IPN, Unidad Mérida, Mexico </p> <h2><span lang="EN-US">Method </span></h2> <p><span lang="EN-US">Case studies were selected in eight countries by national SSF experts, based on specific criteria and research priorities. Case studies were not selected to represent the full diversity of SSF globally or even nationally. Instead, they were chosen to capture a range of fisheries that could showcase different contributions to SDGs. SSF were defined based on various characteristics, such as resources harvested, gear used, and location of the fishery. </span><span lang="EN-US"> </span></p> <h3><span lang="EN-US">Geographical Coverage </span></h3> <p><span lang="EN-US">60 small-scale fisheries located in seven countries are documented in the data:</span></p> <ul> <li><span lang="EN-US">Colombia (4 case studies) – Pacifico: La Guajira, San Andrés y Providencia; Caribe: Chocó, Cauca, Valle del Cauca, Nariño.</span></li> <li><span lang="EN-US">Ecuador (3) – Region: Esmeraldas, Manabi, Guayas, El Oro.</span></li> <li><span lang="EN-US">France (2) – Region: Bretagne, Occitanie.</span></li> <li><span lang="EN-US">Kenya (22) – County: Kilifi, Kwale, Lamu, Mombasa, Tana River.</span></li> <li><span lang="EN-US">Madagascar (20) – Region: Analanjirofo, Anosy, Atsimo Andrefana, Boeny, Diana, Menabe, Vatovavy Fitovinany.</span></li> <li><span lang="EN-US">Mexico (2) – State: Baja California Sur, Campeche, Yucatan.</span></li> <li><span lang="EN-US">Nigeria (6) – State: Bayelsa, Cross River, Lagos, Ondo, Ogun. </span></li> <li><span lang="EN-US">Spain (1) – State: Galicia.</span> </li> </ul> <h3><span lang="EN-US">Data Collection </span></h3> <p><span lang="EN-US">Data collection took place from November 30, 2022, to July 3, 2023, spanning approximately seven months. The data presented serve as a snapshot of the conditions within a specific small-scale fishery during the assessment period. To consider the evolution of trends such as exports, economic growth, and income, we considered any relevant variables over the past decade. </span></p> <p><span lang="EN-US">Data collection approaches varied depending on the context, and data collectors received training to ensure survey consistency. We used primary data sources such as interviews, observations, and measurements whenever possible. In cases where resources were limited, we preferred secondary sources such as existing datasets and literature. Our methods were standardized, but data collectors could adjust them based on their resources. We primarily used direct observation, focus groups, and interviews to collect data. Scoring in interviews and focus groups was done directly or through group analysis by interviewers. Disagreements were resolved through additional interviews or group discussions, with secondary data used if needed. Please refer to the methods in : </span></p> <p><strong><span lang="EN-US">Bitoun et al., (2024). A methodological framework for capturing marine small-scale fisheries’ contributions to the sustainable development goals. Sustainability Science, 19(4), 1119–1137. https://doi.org/10.1007/s11625-024-01470-0. </span></strong><span lang="EN-US"><strong> </strong> </span></p> <h3><span lang="EN-US">Ethics </span></h3> <p><span lang="EN-US">Participants had the option to join of their own accord, were fully briefed on the research goals, and were given the opportunity to review interview guidelines before proceeding. Depending on the circumstances, interviews could last 45 minutes to 4.5 hours. Participants were guaranteed confidentiality and anonymity in the handling and reporting of their data.</span><span lang="EN-US"> </span></p> <h3><span lang="EN-US">Suggested citation</span></h3> <p><span lang="EN-US">Léopold, M., Bitoun, R., & Devillers, R. (2023). Qualitative Data on 61 Small-Scale Fisheries: A socio-ecological rapid appraisal applied to cases from America (Colombia, Ecuador, and Mexico), Africa (Kenya, Madagascar, and Nigeria), and Europe (France and Spain) (Version 2) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.16077739</span></p> <h2><span lang="EN-US">Data Files</span></h2> <p><span lang="EN-US">The dataset includes the following:</span></p> <ul> <li><span lang="EN-US">The raw dataset (.xls format).</span></li> <li><span lang="EN-US">A data dictionary describing and defining each dataset column (.xls format).</span></li> </ul>
Raw data and code for "Addressing gaps in small-scale fisheries: a low-cost tracking system"
<p>This repository contains the raw data and code to reproduce results and plots presented in: "Addressing gaps in small-scale fisheries: a low-cost tracking system". The release contains:</p> <ul> <li>ssf_function.R. The R function developed for the analysis</li> <li>ssf_workflow.R. The R scripts to reproduce the analysis and the results.</li> <li>gps_data.csv. Raw data used in the paper</li> </ul>
Fig. 15 in Seasonal dynamics of small-scale fisheries in the Adriatic Sea
Fig. 15: Size-frequency distributions of trammel net landings. TL = total length; CL = carapace length; ML = mantle length. Vertical lines: minimum landing size.
Fig. 7 in Seasonal dynamics of small-scale fisheries in the Adriatic Sea
Fig. 7: Composition of traps landings. ITA_17_A = Italy GSA17 traps for S. officinalis; ITA_17_B = Italy GSA17 traps for T. mutabilis; SLOV = Slovenia; CRO = Croatia.
Fig. 6 in Seasonal dynamics of small-scale fisheries in the Adriatic Sea
Fig. 6: Composition of trammel net landings. CRO_rocky = Croatia rocky bottoms; CRO_soft = Croatia soft bottoms; ITA_18 = Italy GSA18; MONT = Montenegro; SLOV = Slovenia.
Fig. 5 in Seasonal dynamics of small-scale fisheries in the Adriatic Sea
Fig. 5: Composition of gillnet landings. CROA = Croatia; ITA_17 = Italy GSA17; ITA_18 = Italy GSA18; MONT = Montenegro; SLOV = Slovenia.
Figure 7 in The historic background and potential of sustainable small-scale fisheries and aquaculture in small islands: the case of Saint-Pierre and Miquelon
Figure 7. – Evolution of the number of employees per sector in the past two decades in Saint-Pierre and Miquelon: primary sector, including fisheries, aquaculture and agriculture (in black), secondary sector, including industry and construction (in dark grey), and tertiary sector including commerce, transport, personal services, accommodation, food service activities, public administration, education, health and social work (light grey). Data are from Iedom (2021).
Figure 4 in The historic background and potential of sustainable small-scale fisheries and aquaculture in small islands: the case of Saint-Pierre and Miquelon
Figure 4. – Official captures for the Saint-Pierre and Miquelon's fleet from 1950-2020 (data come from the FAO database).
Figure 1 in The historic background and potential of sustainable small-scale fisheries and aquaculture in small islands: the case of Saint-Pierre and Miquelon
Figure 1. – Map of the 12,400 km2 Exclusive Economic Zone of Saint-Pierre and Miquelon (dark blue), most of which is comprised in NAFO Subarea 3Ps (light blue). The land in the upper left is the South of the Newfoundland island; that on the left the West of Nova Scotia. The insert shows the maps' location in North America.
Figure 9 in The historic background and potential of sustainable small-scale fisheries and aquaculture in small islands: the case of Saint-Pierre and Miquelon
Figure 9. – Evolution of the population of Saint-Pierre and Miquelon. People under 20 years (in black), between 21 and 59 years old (dark grey), and above> 60 years old (light grey). Data are from IEDOM reports (https://www.iedom.fr/saint-pierre-et-miquelon/).
Figure 3 in The historic background and potential of sustainable small-scale fisheries and aquaculture in small islands: the case of Saint-Pierre and Miquelon
Figure 3. – Evolution of the number of dories (in black) and artisanal fishers (in grey) between the 1960s to the 1990s (data are from Briand, 1990).
Figure 10 in The historic background and potential of sustainable small-scale fisheries and aquaculture in small islands: the case of Saint-Pierre and Miquelon
Figure 10. – Comparison of the evolution of the populations of SPM and close small towns from the Burin Peninsula between 1991 and 2016 (data are from IEDOM, 2021 and https://www12.statcan.gc.ca/censusrecensement/2016/index-eng.cfm)
Figure 2 in The historic background and potential of sustainable small-scale fisheries and aquaculture in small islands: the case of Saint-Pierre and Miquelon
Figure 2. – Dories belonging to the association called "Les Zigotos" (http://www.spm-tourisme.fr/nos-iles-dexception/bienvenue-cheznous/les-zigotos/) in the foreground of the picture and the large blue fish plants Interpêche and Interfreeze, with a fishing vessel, in the background.
Figure 8 in The historic background and potential of sustainable small-scale fisheries and aquaculture in small islands: the case of Saint-Pierre and Miquelon
Figure 8. – Evolution of the exports (in black) and imports (in grey) for Saint-Pierre and Miquelon since 2002. Data are from IEDOM reports (https://www.iedom.fr/saint-pierre-et-miquelon/).
Fig. 14 in Seasonal dynamics of small-scale fisheries in the Adriatic Sea
Fig. 14: Size-frequency distributions of gillnet landings. TL = total length; CL = carapace length; ML = mantle length. Vertical lines: minimum landing size.
Small-scale fisheries of the US (2013-2017)
<p>This data set includes information about the diversity, catch composition, and economic value of small-scale fisheries in the United States. In includes 1,019 small-scale fishing “units” that target 350 commercially reported taxa. Additional information about the data and the methods used to compile the data set are published in <em>A review of small-scale marine fisheries in the United States: Definitions, scale, drivers of change, and policy gaps</em>, published in Marine Policy (2022). </p>
Fig. 8 in Seasonal dynamics of small-scale fisheries in the Adriatic Sea
Fig. 8: Biomass of gillnet landings.
Fig. 17 in Seasonal dynamics of small-scale fisheries in the Adriatic Sea
Fig. 17: Total value and selling price per unit weight of gillnet landings.
Fig. 12 in Seasonal dynamics of small-scale fisheries in the Adriatic Sea
Fig. 12: Trammel net landing biomass per vessel for the main target species.
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OpenNeuro
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