填补社会生态知识空白,支持数据匮乏地区的海洋空间规划:以桑给巴尔为例

IF 2.8 2区 环境科学与生态学 Q1 BIODIVERSITY CONSERVATION
Elina A. Virtanen, Niina Käyhkö, Zakaria Khamis, Muhammad Juma Muhammad, Hashim Muumin, Mohammed Habib, Ville Karvinen, Juho Lappalainen, Meri Koskelainen, Niko Kulha, Markku Viitasalo
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引用次数: 0

摘要

海洋空间规划(MSP)是确保海洋区域可持续利用的重要工具之一。虽然MSP是一种行之有效的方法,但在快速发展的发展中国家采用它是一项挑战。其中一个主要问题是数据是否充足,因为MSP过程通常需要大量关于规划区内人类活动、生物多样性和社会生态相互作用的空间数据。从坦桑尼亚桑给巴尔的一个机构合作项目中,我们分享了我们的经验,并展示了如何填补社会生态数据空白,以支持数据有限地区的MSP发展。我们开发了一个快速和具有成本效益的生物数据收集系统,该系统与遥感和基于地点的参与式测绘一起,帮助制定了桑给巴尔第一个生态知情的试点MSP。通过分享我们的成果和经验,我们旨在为具有类似生态环境和社会经济背景的未来项目提供最佳实践、经验教训和建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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

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

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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来源期刊
Conservation Science and Practice
Conservation Science and Practice BIODIVERSITY CONSERVATION-
CiteScore
5.50
自引率
6.50%
发文量
240
审稿时长
10 weeks
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