Mangrove vulnerability modelling in parts of Western Niger Delta, Nigeria using satellite images, GIS techniques and Spatial Multi-Criteria Analysis (SMCA)
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 vegetati...
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Springer Verlag
2017
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| Online Access: | https://link.springer.com.access.msu.ac.zw/article/10.1007%2Fs10661-010-1669-z http://hdl.handle.net/11408/1915 |
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| author | Omo-Irabor, O. O. Olobaniyi, Samuel B. Akunna, Joe Venus, Valentijn Maina, Joseph M. Paradzayi, Charles |
| author_facet | Omo-Irabor, O. O. Olobaniyi, Samuel B. Akunna, Joe Venus, Valentijn Maina, Joseph M. Paradzayi, Charles |
| author_sort | Omo-Irabor, O. O. |
| collection | DSpace |
| description | 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. |
| format | Article |
| id | ir-11408-1915 |
| institution | My University |
| language | English |
| publishDate | 2017 |
| publisher | Springer Verlag |
| record_format | dspace |
| spelling | ir-11408-19152022-06-27T13:49:06Z Mangrove vulnerability modelling in parts of Western Niger Delta, Nigeria using satellite images, GIS techniques and Spatial Multi-Criteria Analysis (SMCA) Omo-Irabor, O. O. Olobaniyi, Samuel B. Akunna, Joe Venus, Valentijn Maina, Joseph M. Paradzayi, Charles Satellite remote sensing, Data management, Spatial modelling, Environmental monitoring Coastal management Vulnerability 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. 2017-03-10T11:52:00Z 2017-03-10T11:52:00Z 2011-07 Article 0167-6369 https://link.springer.com.access.msu.ac.zw/article/10.1007%2Fs10661-010-1669-z http://hdl.handle.net/11408/1915 en Environmental Monitoring and Assessment; Vol. 178, No. 1; p.39-51 none Springer Verlag |
| spellingShingle | Satellite remote sensing, Data management, Spatial modelling, Environmental monitoring Coastal management Vulnerability Omo-Irabor, O. O. Olobaniyi, Samuel B. Akunna, Joe Venus, Valentijn Maina, Joseph M. Paradzayi, Charles Mangrove vulnerability modelling in parts of Western Niger Delta, Nigeria using satellite images, GIS techniques and Spatial Multi-Criteria Analysis (SMCA) |
| title | Mangrove vulnerability modelling in parts of Western Niger Delta, Nigeria using satellite images, GIS techniques and Spatial Multi-Criteria Analysis (SMCA) |
| title_full | Mangrove vulnerability modelling in parts of Western Niger Delta, Nigeria using satellite images, GIS techniques and Spatial Multi-Criteria Analysis (SMCA) |
| title_fullStr | Mangrove vulnerability modelling in parts of Western Niger Delta, Nigeria using satellite images, GIS techniques and Spatial Multi-Criteria Analysis (SMCA) |
| title_full_unstemmed | Mangrove vulnerability modelling in parts of Western Niger Delta, Nigeria using satellite images, GIS techniques and Spatial Multi-Criteria Analysis (SMCA) |
| title_short | Mangrove vulnerability modelling in parts of Western Niger Delta, Nigeria using satellite images, GIS techniques and Spatial Multi-Criteria Analysis (SMCA) |
| title_sort | mangrove vulnerability modelling in parts of western niger delta, nigeria using satellite images, gis techniques and spatial multi-criteria analysis (smca) |
| topic | Satellite remote sensing, Data management, Spatial modelling, Environmental monitoring Coastal management Vulnerability |
| url | https://link.springer.com.access.msu.ac.zw/article/10.1007%2Fs10661-010-1669-z http://hdl.handle.net/11408/1915 |
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