Predicting River Floodplain and Lateral Channel Migration for Salmon Habitat Conservation1

:  In this article, we describe a method for predicting floodplain locations and potential lateral channel migration across 82,900 km (491 km2 by bankfull area) of streams in the Columbia River basin. Predictions are based on channel confinement, channel slope, bankfull width, and bankfull depth der...

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Published inJournal of the American Water Resources Association Vol. 43; no. 3; pp. 786 - 797
Main Authors Hall, Jason E., Holzer, Damon M., Beechie, Timothy J.
Format Journal Article
LanguageEnglish
Published Oxford, UK Blackwell Publishing Ltd 01.06.2007
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Abstract :  In this article, we describe a method for predicting floodplain locations and potential lateral channel migration across 82,900 km (491 km2 by bankfull area) of streams in the Columbia River basin. Predictions are based on channel confinement, channel slope, bankfull width, and bankfull depth derived from digital elevation and precipitation data. Half of the 367 km2 (47,900 km by length) of low‐gradient channels (≤ 4% channel slope) were classified as floodplain channels with a high likelihood of lateral channel migration (182 km2, 50%). Classification agreement between modeled and field‐measured floodplain confinement was 85% (κ = 0.46, p < 0.001) with the largest source of error being the misclassification of unconfined channels as confined (55% omission error). Classification agreement between predicted channel migration and lateral migration determined from aerial photographs was 76% (κ = 0.53, p < 0.001) with the largest source of error being the misclassification of laterally migrating channels as non‐migrating (35% omission error). On average, more salmon populations were associated with laterally migrating channels and floodplains than with confined or nonmigrating channels. These data are useful for many river basin planning applications, including identification of land use impacts to floodplain habitats and locations with restoration potential for listed salmonids or other species of concern.
AbstractList :  In this article, we describe a method for predicting floodplain locations and potential lateral channel migration across 82,900 km (491 km2 by bankfull area) of streams in the Columbia River basin. Predictions are based on channel confinement, channel slope, bankfull width, and bankfull depth derived from digital elevation and precipitation data. Half of the 367 km2 (47,900 km by length) of low‐gradient channels (≤ 4% channel slope) were classified as floodplain channels with a high likelihood of lateral channel migration (182 km2, 50%). Classification agreement between modeled and field‐measured floodplain confinement was 85% (κ = 0.46, p < 0.001) with the largest source of error being the misclassification of unconfined channels as confined (55% omission error). Classification agreement between predicted channel migration and lateral migration determined from aerial photographs was 76% (κ = 0.53, p < 0.001) with the largest source of error being the misclassification of laterally migrating channels as non‐migrating (35% omission error). On average, more salmon populations were associated with laterally migrating channels and floodplains than with confined or nonmigrating channels. These data are useful for many river basin planning applications, including identification of land use impacts to floodplain habitats and locations with restoration potential for listed salmonids or other species of concern.
In this article, we describe a method for predicting floodplain locations and potential lateral channel migration across 82,900 km (491 km^sup 2^ by bankfull area) of streams in the Columbia River basin. Predictions are based on channel confinement, channel slope, bankfull width, and bankfull depth derived from digital elevation and precipitation data. Half of the 367 km^sup 2^ (47,900 km by length) of low-gradient channels (≤ 4% channel slope) were classified as floodplain channels with a high likelihood of lateral channel migration (182 km^sup 2^, 50%). Classification agreement between modeled and field-measured floodplain confinement was 85% (κ = 0.46, p < 0.001) with the largest source of error being the misclassification of unconfined channels as confined (55% omission error). Classification agreement between predicted channel migration and lateral migration determined from aerial photographs was 76% (κ = 0.53, p < 0.001) with the largest source of error being the misclassification of laterally migrating channels as non-migrating (35% omission error). On average, more salmon populations were associated with laterally migrating channels and floodplains than with confined or nonmigrating channels. These data are useful for many river basin planning applications, including identification of land use impacts to floodplain habitats and locations with restoration potential for listed salmonids or other species of concern. [PUBLICATION ABSTRACT]
In this article, we describe a method for predicting floodplain locations and potential lateral channel migration across 82,900 km (491 kmsup 2 by bankfull area) of streams in the Columbia River basin. Predictions are based on channel confinement, channel slope, bankfull width, and bankfull depth derived from digital elevation and precipitation data. Half of the 367 kmsup 2 (47,900 km by length) of low-gradient channels ( 4% channel slope) were classified as floodplain channels with a high likelihood of lateral channel migration (182 kmsup 2, 50%). Classification agreement between modeled and field-measured floodplain confinement was 85% ( = 0.46, p 0.001) with the largest source of error being the misclassification of unconfined channels as confined (55% omission error). Classification agreement between predicted channel migration and lateral migration determined from aerial photographs was 76% ( = 0.53, p 0.001) with the largest source of error being the misclassification of laterally migrating channels as non-migrating (35% omission error). On average, more salmon populations were associated with laterally migrating channels and floodplains than with confined or nonmigrating channels. These data are useful for many river basin planning applications, including identification of land use impacts to floodplain habitats and locations with restoration potential for listed salmonids or other species of concern. [PUBLICATION ABSTRACT]
Author Beechie, Timothy J.
Holzer, Damon M.
Hall, Jason E.
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  surname: Beechie
  fullname: Beechie, Timothy J.
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Snippet :  In this article, we describe a method for predicting floodplain locations and potential lateral channel migration across 82,900 km (491 km2 by bankfull...
In this article, we describe a method for predicting floodplain locations and potential lateral channel migration across 82,900 km (491 km^sup 2^ by bankfull...
In this article, we describe a method for predicting floodplain locations and potential lateral channel migration across 82,900 km (491 kmsup 2 by bankfull...
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SubjectTerms Accuracy
Endangered & extinct species
Floodplains
fluvial processes
geomorphology
geospatial analysis
Insurance rates
lateral channel migration
Management
Methods
River basins
River networks
rivers/streams
Salmon
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Title Predicting River Floodplain and Lateral Channel Migration for Salmon Habitat Conservation1
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