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

Abstract Marine 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 requ...

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Main Authors: Elina A. Virtanen, Niina Käyhkö, Zakaria Khamis, Muhammad Juma Muhammad, Hashim Muumin, Mohammed Habib, Ville Karvinen, Juho Lappalainen, Meri Koskelainen, Niko Kulha, Markku Viitasalo
Format: Article
Language:English
Published: Wiley 2025-01-01
Series:Conservation Science and Practice
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Online Access:https://doi.org/10.1111/csp2.13284
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author Elina A. Virtanen
Niina Käyhkö
Zakaria Khamis
Muhammad Juma Muhammad
Hashim Muumin
Mohammed Habib
Ville Karvinen
Juho Lappalainen
Meri Koskelainen
Niko Kulha
Markku Viitasalo
author_facet Elina A. Virtanen
Niina Käyhkö
Zakaria Khamis
Muhammad Juma Muhammad
Hashim Muumin
Mohammed Habib
Ville Karvinen
Juho Lappalainen
Meri Koskelainen
Niko Kulha
Markku Viitasalo
author_sort Elina A. Virtanen
collection DOAJ
description Abstract Marine 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.
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institution Kabale University
issn 2578-4854
language English
publishDate 2025-01-01
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series Conservation Science and Practice
spelling doaj-art-36048ae6e8404fdb8c5e040135f53fe92025-01-12T03:57:29ZengWileyConservation Science and Practice2578-48542025-01-0171n/an/a10.1111/csp2.13284Filling in socio‐ecological knowledge gaps to support marine spatial planning in data‐scarce areas: Example from ZanzibarElina A. Virtanen0Niina Käyhkö1Zakaria Khamis2Muhammad Juma Muhammad3Hashim Muumin4Mohammed Habib5Ville Karvinen6Juho Lappalainen7Meri Koskelainen8Niko Kulha9Markku Viitasalo10Finnish Environment Institute Helsinki FinlandDepartment of Geography and Geology, Geography Division University of Turku Turku FinlandDepartment of Geography and Geology, Geography Division University of Turku Turku FinlandGovernment of Zanzibar, Commission of Lands Department of Urban and Rural Planning Zanzibar TanzaniaDepartment of Fisheries and Marine Resources Zanzibar TanzaniaGovernment of Zanzibar, Commission of Lands Department of Urban and Rural Planning Zanzibar TanzaniaFinnish Environment Institute Helsinki FinlandFinnish Environment Institute Helsinki FinlandFinnish Environment Institute Helsinki FinlandFinnish Environment Institute Helsinki FinlandFinnish Environment Institute Helsinki FinlandAbstract Marine 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.https://doi.org/10.1111/csp2.13284community mappingmarine conservationmarine spatial planningPGISpublic engagementremote sensing
spellingShingle Elina A. Virtanen
Niina Käyhkö
Zakaria Khamis
Muhammad Juma Muhammad
Hashim Muumin
Mohammed Habib
Ville Karvinen
Juho Lappalainen
Meri Koskelainen
Niko Kulha
Markku Viitasalo
Filling in socio‐ecological knowledge gaps to support marine spatial planning in data‐scarce areas: Example from Zanzibar
Conservation Science and Practice
community mapping
marine conservation
marine spatial planning
PGIS
public engagement
remote sensing
title Filling in socio‐ecological knowledge gaps to support marine spatial planning in data‐scarce areas: Example from Zanzibar
title_full Filling in socio‐ecological knowledge gaps to support marine spatial planning in data‐scarce areas: Example from Zanzibar
title_fullStr Filling in socio‐ecological knowledge gaps to support marine spatial planning in data‐scarce areas: Example from Zanzibar
title_full_unstemmed Filling in socio‐ecological knowledge gaps to support marine spatial planning in data‐scarce areas: Example from Zanzibar
title_short Filling in socio‐ecological knowledge gaps to support marine spatial planning in data‐scarce areas: Example from Zanzibar
title_sort filling in socio ecological knowledge gaps to support marine spatial planning in data scarce areas example from zanzibar
topic community mapping
marine conservation
marine spatial planning
PGIS
public engagement
remote sensing
url https://doi.org/10.1111/csp2.13284
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