Data from: Filling in socio‐ecological knowledge gaps to support marine spatial planning in data‐scarce areas: Example from Zanzibar

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dc.contributor.affiliationUniversity of Helsinki - Virtanen, Elina
dc.contributor.affiliationUniversity of Turku - Käyhkö (née Vuorela), Niina
dc.contributor.affiliationZanzibar Fisheries and Marine Resources Research Institute - Khamis, Zakaria
dc.contributor.affiliationUNESCO - Juma, Muhammad
dc.contributor.affiliationDepartment of Fisheries and Marine Resources - Muumin, Hashim
dc.contributor.affiliationFinnish Environment Institute - Lappalainen, Juho
dc.contributor.affiliationFinnish Environment Institute - Koskelainen, Meri
dc.contributor.affiliationFinnish Environment Institute - Kulha, Niko
dc.contributor.affiliationFinnish Environment Institute - Viitasalo, Markku
dc.contributor.authorVirtanen, Elina
dc.contributor.authorKäyhkö (née Vuorela), Niina
dc.contributor.authorKhamis, Zakaria
dc.contributor.authorJuma, Muhammad
dc.contributor.authorMuumin, Hashim
dc.contributor.authorHabib, Mohammed
dc.contributor.authorKarvinen, Ville-Juhani
dc.contributor.authorLappalainen, Juho
dc.contributor.authorKoskelainen, Meri
dc.contributor.authorKulha, Niko
dc.contributor.authorViitasalo, Markku
dc.date.accessioned2025-03-24T15:23:41Z
dc.date.issued2024-12-09
dc.date.issued2024-12-09
dc.descriptionMarine spatial planning (MSP) is one of the most important tools for ensuring sustainable use of marine areas. Although MSP is a well‐established method, its adoption in rapidly developing countries is a challenge. One of the main concerns is data adequacy, as the MSP process typically requires a large amount of spatial data on human activities, biodiversity, and socio‐ecological interactions within the planning area. Drawing from an institutional cooperation project in Zanzibar, Tanzania, we share our experience and demonstrate how to fill in socio‐ecological data gaps to support the development of MSP in areas with limited data availability. We developed a rapid and cost‐effective system for collecting biological data, which, together with remote sensing and place‐based participatory mapping, helped formulate the first pilot ecologically informed MSP for Zanzibar. By sharing our results and experiences, we aim to provide best practices, lessons learned, and recommendations for future projects with a similar ecological setting and socio‐economic context.  This Zenodo deposit includes the collected biological inventory data, PGIS survey data, habitat models produced based on Sentinel-2 images and habitat inventories, and related scripts. Details of the data are described in the article Filling in socio‐ecological knowledge gaps to support marine spatial planning in data‐scarce areas: Example from Zanzibar (https://doi.org/10.1111/csp2.13284).
dc.embargo.lift2024-12-15
dc.identifierhttps://doi.org/10.5281/zenodo.11115802
dc.identifier.urihttps://hydatakatalogi-test-24.it.helsinki.fi/handle/123456789/11313
dc.rightsOpen
dc.rights.licensecc-by-4.0
dc.titleData from: Filling in socio‐ecological knowledge gaps to support marine spatial planning in data‐scarce areas: Example from Zanzibar
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