Assessing discards in an illegal small-scale fishery using fisher-led reporting

Funding: Newton Fund (IL 2018-Grant Agreement 414695818 James PER), Fondo Nacional de Desarrollo Científico, Tecnológico y de Innovación Tecnológica (PE) (FONDECYT 2018-222).About a third of all marine fish in the world are caught in Small-Scale Fisheries (SSF). SSF are increasingly recognised as essential for food security and livelihoods for vulnerable and economically fragile communities globally. Although individual SSF vessels are usually perceived as having little impact on the ecosystem, the cumulative impact of gear type and number of vessels may be substantial. Bottom trawling is a common fishing method that can greatly influence the marine ecosystem by damaging the seafloor and generating high levels of discards. However, appropriate sampling coverage using on-board observer programmes to collect these data from SSF are rare, as they are expensive and pose logistical constraints. A mobile App was used to assess whether self-reporting by fishers could provide reliable fine-scale information on fishing effort and discards over time in an illegal shrimp trawling fishery in northern Peru. Maps depicting the spatial distribution of trawling effort and the proportion of discards from observers and fishers were compared using the Similarity in Means (SIM) Index, which ranges from 0 when spatial patterns differ completely to 1 when spatial patterns are very similar. High levels of agreement between spatio-temporal patterns of effort (SIM Index = 0.81) and discards (0.96) were found between fisher and observer maps. Moreover, far greater spatial coverage was accomplished by fishers, suggesting that self-reporting via an App represents a useful approach to collect reliable fisheries data as an initial step for effective monitoring and management of these fisheries.Publisher PDFPeer reviewe

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Android App for monitoring skate fishing. Licence: The MIT Licens

SIFIDS Mobile App

An Android app developed as part of the Scottish Inshore Fisheries Integrated Data System (SIFIDS) Project. Allows fishermen to track their location and record their fishing activity in order to populate a FISH1 Form which can be completed in the app. Completion of the form is eased by the setting of default values for vessel, owner, ports, gear, species etc. Users can also report observations of a range of protected, endangered and threatened marine wildlife species. Licence: The MIT Licens