Sustainable Poverty Alleviation From Coastal Ecosystem Services: Mangrove Activities, 2013–2017

DOI

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 and its impacts on local governance of ecosystems and production of ES, (2) unprecedented rates and scales of environmental change, particularly climate change, which are creating new vulnerabilities, opportunities and constraints, 'shifting baselines', and demanding radical changes in behaviour to cope, (3) market integration now reaches the most remote corners of the developing world, changing relationships between people and resources and motivations for natural resource management, (4) societal changes, including demographic, population, urbanisation and globalisation of culture, forge new relationships with ES and further decouple people from direct dependency on particular resources. Study sites have been chosen so as to gather empirical evidence to help answer key questions about how these four drivers of change affect abilities of poor people to benefit from ES. We aim for direct impact on the wellbeing of poor inhabitants of the rapidly transforming coastal areas in Mozambique and Kenya, where research will take place, while also providing indirect impact to coastal poor in other developing countries through our international impact strategy. Benefits from research findings will also accrue to multiple stakeholders at various levels. Local government, NGOs and civil society groups - through engagement with project activities, e.g. participation in workshops and exposure to new types of analysis and systems thinking. Donor organizations and development agencies - through research providing evidence to inform strategies to support sector development (e.g. fisheries, coastal planning and tourism development) and methods to understand and evaluate impacts of different development interventions - e.g. through tradeoff analysis and evaluation of the elasticities between ecosystem services and wellbeing. International scientific community - through dissemination of findings via conferences, scientific publications (open access), and from conceptual and theoretical development and new understandings of the multiple linkages between ecosystem services and wellbeing. Regional African scientists will benefit specifically through open courses offered within the scope of the project, and through dissemination of results at regional venues. Our strategies to deliver impact and benefits include (1) identifying 'windows of opportunity' within the context of ongoing coastal development processes to improve flows of benefits from ecosystems services to poor people, and (2) identifying and seeking to actively mitigate 'conflicted' tradeoffs in Kenya and Mozambique.

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.

Identifier
DOI https://doi.org/10.5255/UKDA-SN-855061
Metadata Access https://datacatalogue.cessda.eu/oai-pmh/v0/oai?verb=GetRecord&metadataPrefix=oai_ddi25&identifier=001fede53eec472027885ab4f121adda1e515c5c8e5de5966c1005b28f0e7935
Provenance
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
Publisher UK Data Service
Publication Year 2022
Funding Reference Economic and Social Research Council
Rights Tim Daw, Stockholm Resilience Center; The Data Collection is available to any user without the requirement for registration for download/access.
OpenAccess true
Representation
Language English
Resource Type Numeric
Discipline Social Sciences
Spatial Coverage Mozambique