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- Data for: Official catch data underrepresent shark and ray taxa caught in Mediterranean and Black Sea fisheriesThese are the annual Taxonomic Resolution Index (TRI) scores of reported domestic landings (retrieved from the United Nations Food and Agriculture Organisation) of elasmobranchs by Mediterranean and Black Sea countries (1950-2014). The TRI scores are ratios of the number of unique elasmobranch taxa reported (numerator) to the number of commercial taxa occurring in a country's waters (denominator; >10% of EEZ area). Taxonomic scores for both the numerator and denominator are weighted by their taxonomic precision; species receive a full point. In cases when a country reported both a taxon and a higher taxon above it (e.g., reports of thornback ray (Raja clavata) as well as Batoidea) in the same year, points were counted only for the most precise taxon. Tonnage is not considered in TRI, so scores do not reflect the amount of landings reported at each taxonomic level.
- Details of illegal tickets issued by the Kuwaiti Fishery Protection Authority from 2000 to 2017.the Kuwaiti FPA issued 9,755 for illegal fishing during a period of 16 years. This is an average of 609.7 illegal fishing incidents recorded every year, which seems excessive, but given that most fisher interviewees said they rarely see FPA vessels at sea, and all the illegal fisher interviewees said they had never been caught by the authorities, the number of IUU fishing incidents that the FPA did not report is likely to have been substantial. This shortfall of the FPA is partly explained by its prioritization of safety at sea over fishery monitoring. the total number of tickets issued for IUU fishing between 2001 and 2017 was 9,755, meaning that the FPA issued an average of 573.8 tickets per year, which is three tickets every two days. The proportion of IUU offenses committed by immigrant fishers was 53%, and by Kuwaiti fishers was 45%.
- Data for: Fins and (Mis)fortunes: managing shark populations for sustainability and food sovereigntyGlobal shark fishing policies by nation.
- Data for: Bringing harbours alive: Assessing the importance of eco-engineered coastal infrastructure for different stakeholders and citiesThe data ''bringing harbours alive'' demonstrates the results of the hypotheses that were set out to be tested: stakeholder group differences in support for ecological engineering, the link between level of concern for environment and support for ecological engineering, socio-economic differences in support for ecological engineering (education, income), level of harbour harbour development/ modification by artificial structures, and willingness to pay for ecological engineering.
- Data for: Assessing the status of Australia’s fish stocks relative to target objectives Status of Australia's fish stocks assessed relative to target objectives.
- Data for: Habitat mapping in the European Seas - is it fit for purpose in the marine restoration agenda?The complete dataset, a total of 580 map records, supporting these analyses, is provided as supplemental material in the form of an excel spreadsheet. Each record contains information on habitat type, habitat features, species, depth, site location, region, regional sea, degradation, info on recovery/restoration potential, management/restoration suggestions, main activities and pressures, map source, source link, references, and comments.
- Questionaire for: Community perceptions link environmental decline to reduced support for tourism development in Small Island States. Questionnaire used in surveys with households and resource users.
- Questionnaire Schedule for: Impact of a fishing moratorium on a tuna pole-and-line fishery in eastern IndonesiaResearch questionnaires
- Data for: Formal versus informal institutions: Extraction and earnings in framed field experiments with small-scale fishing communities in Turkey This data set covers the experimental data collected via framed field experiments conducted with small-scale fishers in Turkey.
- Data for - Categorizing Global MPAs: A Cluster Analysis ApproachThis excel sheet includes the assigned clusters and data inputs used to arrive at cluster designations.Both the raw numbers as well as the calculated z-scores for each of our explanatory variables are included. The data set also includes other key pieces of information from MPAtlas like the name, host country, and ID numbers for multiple databases for each of the 2,938 MPAs we analyzed.
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