Inland wetlands mapping and vulnerability assessment using an integrated geographic information system and remote sensing techniques
The understanding of inland wetlands’ distribution and their level of vulnerability is important to enhance management and conservation efforts. The aim of the study was to map inland wetlands and assess their distribution pattern and vulnerability to natural and human disturbances such as climate c...
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| Format: | Article |
| Language: | English |
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GJESM Publisher
2018-10-01
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| Series: | Global Journal of Environmental Science and Management |
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| Online Access: | http://www.gjesm.net/article_32721_91d0cf1e307824484295e1c3babc8460.pdf |
| _version_ | 1818846224749428736 |
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| author | C.E. Akumu J. Henry T. Gala S. Dennis C. Reddy F. Tegegne S. Haile R.S. Archer |
| author_facet | C.E. Akumu J. Henry T. Gala S. Dennis C. Reddy F. Tegegne S. Haile R.S. Archer |
| author_sort | C.E. Akumu |
| collection | DOAJ |
| description | The understanding of inland wetlands’ distribution and their level of vulnerability is important to enhance management and conservation efforts. The aim of the study was to map inland wetlands and assess their distribution pattern and vulnerability to natural and human disturbances such as climate change (temperature increase) and human activities by the year 2080. Inland wetland types i.e. forested/shrub, emergent and open water bodies were classified and mapped using maximum likelihood standard algorithm. The spatial distribution pattern of inland wetlands was examined using average nearest neighbor analysis. A weighted geospatial vulnerability analysis was developed using variables such as roads, land cover/ land use (developed and agricultural areas) and climate data (temperature) to predict potentially vulnerable inland wetland types. Inland wetlands were successfully classified and mapped with overall accuracy of about 73 percent. Clustered spatial distribution pattern was found among all inland wetland types with varied degree of clustering. The study found about 13 percent of open water bodies, 11 percent of forested/shrub and 7 percent of emergent wetlands potentially most vulnerable to human and natural stressors. This information could be used to improve wetland planning and management by wetland managers and other stakeholders. |
| first_indexed | 2024-12-19T05:42:10Z |
| format | Article |
| id | doaj.art-1cb4477c25264064b7b8ffba9e76c6de |
| institution | Directory Open Access Journal |
| issn | 2383-3572 2383-3866 |
| language | English |
| last_indexed | 2024-12-19T05:42:10Z |
| publishDate | 2018-10-01 |
| publisher | GJESM Publisher |
| record_format | Article |
| series | Global Journal of Environmental Science and Management |
| spelling | doaj.art-1cb4477c25264064b7b8ffba9e76c6de2022-12-21T20:33:59ZengGJESM PublisherGlobal Journal of Environmental Science and Management2383-35722383-38662018-10-014438740010.22034/gjesm.2018.04.00132721Inland wetlands mapping and vulnerability assessment using an integrated geographic information system and remote sensing techniquesC.E. Akumu0J. Henry1T. Gala2S. Dennis3C. Reddy4F. Tegegne5S. Haile6R.S. Archer7Department of Agricultural and Environmental Sciences, College of Agriculture, Tennessee State University, Nashville, Tennessee, USADepartment of Agricultural and Environmental Sciences, College of Agriculture, Tennessee State University, Nashville, Tennessee, USADepartment of Geography, Chicago State University, S. King Drive, Chicago, IL, USADepartment of Agricultural and Environmental Sciences, College of Agriculture, Tennessee State University, Nashville, Tennessee, USADepartment of Agricultural and Environmental Sciences, College of Agriculture, Tennessee State University, Nashville, Tennessee, USADepartment of Agricultural and Environmental Sciences, College of Agriculture, Tennessee State University, Nashville, Tennessee, USADepartment of Agricultural and Environmental Sciences, College of Agriculture, Tennessee State University, Nashville, Tennessee, USADepartment of Agricultural and Environmental Sciences, College of Agriculture, Tennessee State University, Nashville, Tennessee, USAThe understanding of inland wetlands’ distribution and their level of vulnerability is important to enhance management and conservation efforts. The aim of the study was to map inland wetlands and assess their distribution pattern and vulnerability to natural and human disturbances such as climate change (temperature increase) and human activities by the year 2080. Inland wetland types i.e. forested/shrub, emergent and open water bodies were classified and mapped using maximum likelihood standard algorithm. The spatial distribution pattern of inland wetlands was examined using average nearest neighbor analysis. A weighted geospatial vulnerability analysis was developed using variables such as roads, land cover/ land use (developed and agricultural areas) and climate data (temperature) to predict potentially vulnerable inland wetland types. Inland wetlands were successfully classified and mapped with overall accuracy of about 73 percent. Clustered spatial distribution pattern was found among all inland wetland types with varied degree of clustering. The study found about 13 percent of open water bodies, 11 percent of forested/shrub and 7 percent of emergent wetlands potentially most vulnerable to human and natural stressors. This information could be used to improve wetland planning and management by wetland managers and other stakeholders.http://www.gjesm.net/article_32721_91d0cf1e307824484295e1c3babc8460.pdfClassificationDistribution patternGeospatialInland wetlandsSatellite data |
| spellingShingle | C.E. Akumu J. Henry T. Gala S. Dennis C. Reddy F. Tegegne S. Haile R.S. Archer Inland wetlands mapping and vulnerability assessment using an integrated geographic information system and remote sensing techniques Global Journal of Environmental Science and Management Classification Distribution pattern Geospatial Inland wetlands Satellite data |
| title | Inland wetlands mapping and vulnerability assessment using an integrated geographic information system and remote sensing techniques |
| title_full | Inland wetlands mapping and vulnerability assessment using an integrated geographic information system and remote sensing techniques |
| title_fullStr | Inland wetlands mapping and vulnerability assessment using an integrated geographic information system and remote sensing techniques |
| title_full_unstemmed | Inland wetlands mapping and vulnerability assessment using an integrated geographic information system and remote sensing techniques |
| title_short | Inland wetlands mapping and vulnerability assessment using an integrated geographic information system and remote sensing techniques |
| title_sort | inland wetlands mapping and vulnerability assessment using an integrated geographic information system and remote sensing techniques |
| topic | Classification Distribution pattern Geospatial Inland wetlands Satellite data |
| url | http://www.gjesm.net/article_32721_91d0cf1e307824484295e1c3babc8460.pdf |
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