2006
DOI: 10.3133/sir20065217
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A logistic regression equation for estimating the probability of a stream in Vermont having intermittent flow

Abstract: A logistic regression equation was developed for estimating the probability of a stream flowing intermittently at unregulated, rural stream sites in Vermont. These determinations can be used for a wide variety of regulatory and planning efforts at the Federal, State, regional, county and town levels, including such applications as assessing fish and wildlife habitats, wetlands classifications, recreational opportunities, water-supply potential, waste-assimilation capacities, and sediment transport. The equatio… Show more

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Cited by 14 publications
(24 citation statements)
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“…For example, surface flow in stream networks draining agricultural catchments in western Oregon expands almost by two orders of magnitude from the dry summers to the wet winters (Wigington et al ., ). Several field studies have characterized where intermittent flow and perennial flow originate along headwater streams and many of these utilize basin and geomorphic measurements, such as drainage area, drainage density, and entrenchment ratio (Paybins, ; Rivenbark and Jackson, ; Svec et al ., ; Olson and Brouillette, ; Fritz et al ., ). Although the probability of perennial flow generally increases with increasing drainage area and channel size, thresholds and their probability distributions vary among regions because of differences in climate, topography, soils, and geology (Jaeger et al ., ; Winter, ).…”
Section: Discussionmentioning
confidence: 99%
“…For example, surface flow in stream networks draining agricultural catchments in western Oregon expands almost by two orders of magnitude from the dry summers to the wet winters (Wigington et al ., ). Several field studies have characterized where intermittent flow and perennial flow originate along headwater streams and many of these utilize basin and geomorphic measurements, such as drainage area, drainage density, and entrenchment ratio (Paybins, ; Rivenbark and Jackson, ; Svec et al ., ; Olson and Brouillette, ; Fritz et al ., ). Although the probability of perennial flow generally increases with increasing drainage area and channel size, thresholds and their probability distributions vary among regions because of differences in climate, topography, soils, and geology (Jaeger et al ., ; Winter, ).…”
Section: Discussionmentioning
confidence: 99%
“…Recent channel modifications or large flood events can obscure geomorphic indicators such as soil texture and recent alluvial deposits. Some existing methods recommend not assessing reaches within 48-72 h of significant rainfall to ensure that indicators are not observed directly after disturbance [158,169,170]. Similarly, abnormally long periods without precipitation can obscure biological indicators such as the presence of hydrophytic plants and macroinvertebrate community structure.…”
Section: Collect Field Indicator Datamentioning
confidence: 99%
“…Within homogenous ecoregions or hydrologic landscapes, catchment area can correlate with flow duration [36]. Catchment area thresholds between intermittent and perennial headwater streams were derived in the northeast U.S. [37,170], as well as between ephemeral and intermittent streams in western U.S. [45]. As with most landscape scale controls on flow duration, such as catchment area and precipitation, thresholds between flow duration classes are rarely universal within and among regions.…”
Section: Collect Gis Indicator Datamentioning
confidence: 99%
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“…To predict the headward extent of channels, Heine et al [2004] developed a logistic regression model with a suite of topographic descriptors that had higher accuracy than using either a constant threshold for area or a slope‐dependent area threshold for the same study area. Similar models have also been applied to predict flow permanence [ Olson and Brouillette , 2006]. Locations of flow permanence and channel heads are related; however, flow permanence is more transient than channel heads and is harder to predict [ Dietrich and Dunne , 1993].…”
Section: Introductionmentioning
confidence: 99%