Estimating fishing effort in small-scale fisheries using high-resolution spatio-temporal tracking data (an implementation framework illustrated with case studies from Portugal)

Rufino, Marta M.; Mendo, Tania; Samarão, João; Gaspar, Miguel B.

doi:10.1016/j.ecolind.2023.110628

Cited by 7 publications

(1 citation statement)

References 32 publications

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“…Therefore, many countries are recently pushing for the exploitation of different tracking technologies (e.g., AIS 27 , VMS 28 , GNSS 29 ) to get this kind of information and for the development of several procedures aimed at categorizing fishing boats’ behaviour and furnishing quantitative approaches for SSF management 30 , 31 .…”

Section: Background and Summarymentioning

confidence: 99%

Bridging the gap in fishing effort mapping: a spatially-explicit fisheries dataset for Campanian MPAs, Italy

Lattanzi,

Pulcinella,

Battaglia

et al. 2024

Sci Data

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Recent technological advancements have facilitated the extensive collection of movement data from large-scale fishing vessels, yet a significant data gap remains for small-scale fisheries. This gap hinders the development of consistent exploitation patterns and meeting the information needs for marine spatial planning in fisheries management. This challenge is specifically addressed in the Campania region of Italy, where several Marine Protected Areas support biodiversity conservation and fisheries management. The authors have created a spatially-explicit dataset that encompasses both large-scale (vessels exceeding 12 meters in length) and small-scale (below 12 meters) fishing efforts. This dataset (available at https://doi.org/10.6084/m9.figshare.23592006) is derived from vessel tracking data and participatory mapping. It offers insights into potential conflicts between different fishing segments and their interactions with priority species and habitats. The data can assist researchers and coastal management stakeholders in formulating policies that reduce resource competition and promote ecosystem-based fisheries management. Furthermore, the provided mapping approach is adaptable for other regions and decision-making frameworks, as we are committed to sharing the tools and techniques we employed.

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