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Sustainable Poverty Alleviation From Coastal Ecosystem Services: Mangrove Activities, 2013–2017
Creator
Macamo, C, University Eduardo Mondlane
Mwihaki, L, Kenya Marine and Fisheries Research Institute
Kairo, J, Kenya Marine and Fisheries Research Institute
Wanjiru, C, Kenya Marine and Fisheries Research Institute
Bandeira, S, University Eduardo Mondlane
Kraft, F, Kenya MaLudwig Maximilian University of Munichrine and Fisheries Research Institute
Study number / PID
855061 (UKDA)
10.5255/UKDA-SN-855061 (DOI)
Data access
Open
Series
Not available
Abstract
Mangroves provide important socio-ecological services to coastal communities, such as coastal line protection, fish, shrimp and crab fishery, provide domestic fuel and building material. If excessive, the extractive exploitation of mangrove resources can lead to substantial changes in the forest structure of mangrove forests, and can also impair the provision of ecological services. The mangrove data collected throughout the SPACES project (Forest structure and condition; Soil carbon) has been used to quantify the transformations that occurred on mangroves in peri-urban and rural sites and used to compare the sites.This project aims to better understand the links between ecosystem services (ES) and wellbeing in order to design and implement more effective interventions for poverty alleviation. We do this in the context of coastal, social-ecological systems in two poor African countries; Kenya and Mozambique. Despite recent policy and scientific interest in ES, there remain important knowledge gaps regarding how ecosystems actually contribute to wellbeing, and thus poverty alleviation. Following the ESPA framework, distinguishing ecological processes, 'final ES', 'capital inputs', 'goods' and 'values', this project is concerned with how these elements are interrelated to produce ES benefits, and focuses specifically on how these benefits are distributed to (potentially) benefit the poor, enhancing their wellbeing. We thus address the ESPA goal of understanding and promoting ways in which benefits to the poorest can be increased and more people can meet their basic needs, but we also identify conflicted tradeoffs, i.e. those which result in serious harm to either the ecosystem or poor people and which need urgent attention. Several fundamental questions are currently debated in international scientific and policy fora, relating to four major global trends which are likely to affect abilities of poor people to access ES benefits: (1) devolution of governance power...
Terminology used is generally based on DDI controlled vocabularies: Time Method, Analysis Unit, Sampling Procedure and Mode of Collection, available at CESSDA Vocabulary Service.
Methodology
Data collection period
31/08/2013 - 30/08/2017
Country
Mozambique
Time dimension
Not available
Analysis unit
Geographic Unit
Universe
Not available
Sampling procedure
Not available
Kind of data
Numeric
Data collection mode
A number of random sampling points for the forest structure and condition as well as the soil carbon data where identified on the study areas, using Google earth grid. Sampled sites included Pemba Bay (Mieze), Vamize, and Olumbi. Lalane was not sampled for structure due to logistical issues, however a single field visit allowed qualitative assessment of the forest in terms of species composition, estimated structure, and mostly main forms of use by the community. Lastly, the protocol of Kauffman and Donato (2012) was followed to collect soil samples.
Funding information
Grant number
NE/K010484/1
Access
Publisher
UK Data Service
Publication year
2022
Terms of data access
The Data Collection is available to any user without the requirement for registration for download/access.