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Please use this identifier to cite or link to this item: http://hdl.handle.net/10373/644

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Title: Mangrove vulnerability modelling in parts of Western Niger Delta, Nigeria using satellite images, GIS techniques and Spatial Multi-Criteria Analysis (SMCA)
Authors: Omo-Irabor, Omo O.
Olobaniyi, Samuel B.
Akunna, Joseph C.
Venus, Valentijn
Maina, Joseph M.
Paradzayi, Charles
Affiliation: University of Abertay Dundee. School of Contemporary Sciences
Keywords: Satellite remote sensing
Data management
Spatial modelling
Environmental monitoring
Coastal management
Issue Date: Jul-2011
Publisher: Springer Verlag
Type: Journal Article
Refereed: peer-reviewed
Rights: Published version (c)Springer Verlag, available from http://dx.doi.org/10.1007/s10661-010-1669-z
Citation: Omo-Irabor, O.O., et al. 2011. Mangrove vulnerability modelling in parts of Western Niger Delta, Nigeria using satellite images, GIS techniques and Spatial Multi-Criteria Analysis (SMCA). Environmental Monitoring and Assessment. 178(1-4): pp.39-51. Available from: http://dx.doi.org/10.1007/s10661-010-1669-z
Abstract: Mangroves are known for their global environmental and socioeconomic value. Despite their importance, mangrove like other ecosystems is now being threatened by natural and human-induced processes that damage them at alarming rates, thereby diminishing the limited number of existing mangrove vegetation. The development of a spatial vulnerability assessment model that takes into consideration environmental and socioeconomic criteria, in spatial and non-spatial formats has been attempted in this study. According to the model, 11 different input parameters are required in modelling mangrove vulnerability. These parameters and their effects on mangrove vulnerability were selected and weighted by experts in the related fields. Criteria identification and selection were mainly based on effects of environmental and socioeconomic changes associated with mangrove survival. The results obtained revealed the dominance of socioeconomic criteria such as population pressure and deforestation, with high vulnerability index of 0.75. The environmental criteria was broadly dispersed in the study area and represents vulnerability indices ranging from 0.00–0.75. This category reflects the greater influence of pollutant input from oil wells and pipelines and minimal contribution from climatic factors. This project has integrated spatial management framework for mangrove vulnerability assessment that utilises information technology in conjunction with expert knowledge and multi-criteria analysis to aid planners and policy/ decision makers in the protection of this very fragile ecosystem.
URI: http://hdl.handle.net/10373/644
ISSN: 0167-6369
Appears in Collections:Science Engineering & Technology Collection

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