Geomorphic identification of physical habitat features in a large, altered river system
Altered flow regimes in streams can significantly affect ecosystems and disturb ecological processes, leading to species loss and extinction. Many river management projects use stream classification and habitat assessment approaches to design practical solutions to reverse or mitigate adverse effect...
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2018-01-01
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Online Access: | https://doi.org/10.1051/e3sconf/20184002031 |
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doaj-521f85e5fbfc44f7941a9b7ff756c9cc2021-02-02T03:18:51ZengEDP SciencesE3S Web of Conferences2267-12422018-01-01400203110.1051/e3sconf/20184002031e3sconf_riverflow2018_02031Geomorphic identification of physical habitat features in a large, altered river systemGuertault LucieFox GareyBrewer ShannonAltered flow regimes in streams can significantly affect ecosystems and disturb ecological processes, leading to species loss and extinction. Many river management projects use stream classification and habitat assessment approaches to design practical solutions to reverse or mitigate adverse effects of flow regime alteration on stream systems. The objective of this study was to develop a methodology to provide a primary identification of physical habitats in an 80-km long segment of the Canadian River in central Oklahoma. The methodology relied on basic geomorphic variables describing the stream and its floodplain that were derived from aerial imagery and Lidar data using Geographic Information Systems. Geostatistical tests were implemented to delineate habitat units. This approach based on high resolution data and did not require in-site inspection provided a relatively refined habitat delineation, consistent with visual observations. Future efforts will focus on validation via field surveys and coupling with hydro-sedimentary modeling to provide a tool for environmental flow decisions.https://doi.org/10.1051/e3sconf/20184002031 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Guertault Lucie Fox Garey Brewer Shannon |
spellingShingle |
Guertault Lucie Fox Garey Brewer Shannon Geomorphic identification of physical habitat features in a large, altered river system E3S Web of Conferences |
author_facet |
Guertault Lucie Fox Garey Brewer Shannon |
author_sort |
Guertault Lucie |
title |
Geomorphic identification of physical habitat features in a large, altered river system |
title_short |
Geomorphic identification of physical habitat features in a large, altered river system |
title_full |
Geomorphic identification of physical habitat features in a large, altered river system |
title_fullStr |
Geomorphic identification of physical habitat features in a large, altered river system |
title_full_unstemmed |
Geomorphic identification of physical habitat features in a large, altered river system |
title_sort |
geomorphic identification of physical habitat features in a large, altered river system |
publisher |
EDP Sciences |
series |
E3S Web of Conferences |
issn |
2267-1242 |
publishDate |
2018-01-01 |
description |
Altered flow regimes in streams can significantly affect ecosystems and disturb ecological processes, leading to species loss and extinction. Many river management projects use stream classification and habitat assessment approaches to design practical solutions to reverse or mitigate adverse effects of flow regime alteration on stream systems. The objective of this study was to develop a methodology to provide a primary identification of physical habitats in an 80-km long segment of the Canadian River in central Oklahoma. The methodology relied on basic geomorphic variables describing the stream and its floodplain that were derived from aerial imagery and Lidar data using Geographic Information Systems. Geostatistical tests were implemented to delineate habitat units. This approach based on high resolution data and did not require in-site inspection provided a relatively refined habitat delineation, consistent with visual observations. Future efforts will focus on validation via field surveys and coupling with hydro-sedimentary modeling to provide a tool for environmental flow decisions. |
url |
https://doi.org/10.1051/e3sconf/20184002031 |
work_keys_str_mv |
AT guertaultlucie geomorphicidentificationofphysicalhabitatfeaturesinalargealteredriversystem AT foxgarey geomorphicidentificationofphysicalhabitatfeaturesinalargealteredriversystem AT brewershannon geomorphicidentificationofphysicalhabitatfeaturesinalargealteredriversystem |
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