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MinouwApp

Web-based tool for bycatch and discard management in European fisheries

Developed under the EU-funded MINOUW project — "Science, Technology and Society Initiative to Minimise Unwanted Catches in European Fisheries"

🔗 Live Demo | 📄 Publication | 💻 Source Code


Overview

MinouwApp is an open-source, web-based digital logbook that allows fishers and researchers to record, map, and analyze spatial-temporal hotspots of unwanted catches. Tested across seven European case studies in direct support of the EU landing obligation (discard ban), it bridges field data collection and evidence-based fisheries governance.

Architecture & Data Sources

Data sources and end users integrated into MinouwApp

Main data sources integrated into MinouwApp and primary end user groups

Workflow

Case study preparation and deployment workflow

Data and workflow schematic for preparation and deployment of each case study

Access Rights

User access rights and activity routes

Access rights schema — developers and CS managers control setup; other users access aggregated data only


Key Features

Feature Description
Digital Logbook Records GPS positions and catch data via Android
Data Integration Fisher-reported data merged with VMS/AIS vessel tracking
Spatial Analysis Maps high-discard hotspots at regional scale
Participatory Design Co-developed with fishers, scientists, NGOs, and policymakers
Open Platform Publicly available for replication on future case studies

Methodology

  1. Field Data Collection — Android app recording GPS positions and catch data
  2. Data Integration — Fisher-reported data merged with VMS/AIS vessel tracking
  3. Spatial Analysis — Hotspot modelling using GAM and spatial statistics
  4. Visualization — Interactive maps via Shiny + Leaflet
  5. Governance Output — Evidence-based discard reduction strategies

Screenshots

Overview Panel

Overview panel

Overview panel — bottom trawl case study near Palmyra Atoll

Effort Data Panel

Effort data panel

Fishing effort represented as swept area (km²)

Unwanted Catches Panel

Unwanted catches panel

Polygons coloured by Persistence Index scale

Fuzzy Overlay Panel

Fuzzy overlay panel

Cells coloured by composite (01) index scale

Overlap Analysis Panel

Overlap analysis panel

Spatial overlap between fishing effort and unwanted catch hotspots


Scientific Context

This work represents a novel participatory framework in fisheries science, offering managers, fishermen, scientists, and the public a collaborative platform for designing discard-reduction strategies at regional level.

The architecture balances three competing interests: public scientific knowledge, fishermen's intellectual property and confidentiality, and regulatory compliance.

Publication: D'Andrea et al. (2020). The MINOUWApp: a web-based tool in support of by-catch and discards management. Environmental Monitoring and Assessment.
DOI: 10.1007/s10661-020-08704-5


Stack

R Shiny Leaflet PostgreSQL PostGIS Android


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