Q 63 - How to deal with knowledge gaps on socio-economic data, including the spatial dimension?#
Answers#
Participatory mapping (Trade-off for MPA Design)
GFW - Global Fishing Watch (Data sharing)
EMODnet (Data sharing)
ESE2 - Criteria for the representation of the social and economic dimension of MPAs#
Practices: Data collection and presentationSpatial scales: Transboundary / sea basin National Regional / localMarine zones: Coastal zone Offshore zoneOperational approaches: (Tool) GFW - Global Fishing Watch (Tool) EMODnet
Implementation details
Utilize a multi-stage approach to integrating limited Socio-Economic data.
Stage 1: Utilize Official Open Data Portals
The first step is to gather structured and authoritative datasets from official European and international sources, which provide standardized socio-economic indicators:
EMODnet Human Activities - Spatial data on fishing, shipping, tourism, offshore energy, and aquaculture.
Corine Land Cover (CLC) - European land cover data useful for assessing coastal development and changes.
Eurostat - Statistics on coastal populations, employment, fisheries, and economic sectors.
FAO Fisheries & Aquaculture - Global fisheries production, trade, and sustainability reports.
Stage 2: Integrate Data from NGOs and Research Institutions
Integrate data from NGOs, conservation organizations, and independent research projects, which often provide more detailed and real-time insights:
OpenStreetMap (Overpass Turbo) <https://overpass-turbo.eu/>`_ - Extracting human activity patterns, infrastructure, and coastal land use data.
Global Fishing Watch (GFW) - Real-time and historical fishing activity data.
MarineTraffic (or other commercial services)- Ship tracking data for monitoring maritime traffic near MPAs.
Stage 3: Use Proxy Data to Fill Gaps
Nighttime Lights (e.g., NASA VIIRS, NOAA DMSP-OLS) - Indicators of coastal development and fishing intensity.
AIS & VMS Tracking (e.g., GFW, EU Fleet Register) - Mapping vessel activity to estimate fishing and shipping pressures.
Social Media Data (e.g., Twitter, Instagram, Flickr APIs) - Assessing tourism and recreational activities in coastal areas.
Earth Observation (e.g., Copernicus Sentinel, Landsat) - Identifying land use changes, coastal urbanization, and aquaculture sites.
ESE3 - Trade-offs method for protections and restoration in MSP#
Practices: Scoping Data collection and presentation Analysis and diagnosis Prioritisation and designation Implementation and management Monitoring and evaluationSpatial scales: Transboundary / sea basin National Regional / localProtection regimes: Strict protection Non-strict protectionMarine zones: Coastal zone Deep sea Offshore zoneOperational approaches: (Method) Participatory mapping
Implementation details
Utilize Participatory Mapping: Engage local stakeholders through participatory mapping exercises to collect socio-economic data. This approach not only fills data gaps but also incorporates local knowledge and perspectives, enhancing the relevance and accuracy of the information gathered. Use of Annexe 5 - Table Participatory Mapping Tool. From Deliverable 4.3 “Trade-offs method for protection and restoration in MSP”
References
Trade-offs method for protection and restoration in MSP (ESE3). Deliverable – D4.3., under the WP4 of MSP4BIO project (GA n° 101060707)).