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Last modified
7/14/2009 5:02:32 PM
Creation date
5/22/2009 5:33:12 PM
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UCREFRP
UCREFRP Catalog Number
8097
Author
American Fisheries Society.
Title
Proceedings of the 18th Annual Meeting, Colorado - Wyoming Chapter, American Fisheries Society.
USFW Year
1983.
USFW - Doc Type
March 2-3, 1983.
Copyright Material
NO
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<br />2) aspen and conifer; 3) cottonwood, buffaloberry and hawthorn communities <br />tended to have similar understory species. Generally aspen and conifer com- <br />munities occurred at higher elevations, while buffaloberry and hawthorn <br />communities occurred at lower elevations. <br />Analysis of variance and pairwise comparisons were used to determine <br />which cluster analysis groups, based on importance values (i.e., riparian <br />plant community types), had significantly different mean values for selected <br />parameters. While significantly different mean values were found for nearly <br />every parameter measured between at least two cluster groups, some parameters <br />tended to produce more cluster groups with significantly different means. <br />Physical parameters related to plant moisture stress had the greatest differ- <br />ence between cluster groups. Fewer significant differences were shown be- <br />tween cluster groups for soil moisture measurements, determined for three <br />levels in the upper 30 cm of soil, than for plant water potential as determined <br />by the pressure chamber technique. Water potential values reflect how stressed <br />the plant really is. It takes into consideration stresses of the plant root <br />system that may not be reflected by gravimetrically determined soil moisture <br />measurements. For example, soil moisture measurements may indicate dry surface <br />soil conditions. At the same time plant water potential values indicate that <br />the plant is experiencing little if any moisture stress, possibly due to <br />having its roots deep into the water table. Examples of mean water potential <br />of the dominant species woods rose (a ubiquitous species found at each site) , <br />and the average mean water potential for all woody species found at a site are <br />shown in Figure 1. Note that differences between cluster groups are less <br />apparent for mean soil moisture (Figure 1). <br />Significant differences in soil texture were also found between cluster <br />groups (Figure 1). Cluster groups dominated by willlows tended to have low <br />soil pH (6.0-6.5) and high clay content. This resulted from alluviation <br />associated with seep areas or reduced stream gradients caused by terminal <br />glacial morraines or beaver dams. Cluster ~roups dominated by conifer species <br />tended to have rather low soil pH (6.0-7.0) and sandy soils where stream grad- <br />ients were rather steep. Alder stands also had relatively low soil pH (6.0- <br />7.0) and low electrical conductivity (less than .05 millimhos/cm at 250C- <br />saturated soil paste extract), while hawthorn and buffaloberry had rather high <br />soil pH and electrical conductivity (pH 7.8-8.0 and 1.0-3.5 millimhos/cm at <br />250C-saturated soil paste extract, respectively). <br />No biologically significant differences in vegetative parameters within <br />cluster groups were shown for solar irradiation exposure produced by shading <br />from adjacent canyon walls and hills. From these results it ~an be concluded <br />that reduction in photosynthesis due to shading produced no significant dif- <br />ferences in the vegetative parameters measured. <br />Forward, stepwise discriminant analysis was used to select combina- <br />tions of environmental variables according to their relative importance in <br />discriminating riparian classification groupings (determined by cluster <br />analysis). Six of 55 variables were selected (a = .05). In order of <br />importance they are: (1) percentage of the soil sample volume filled with <br />air in the B sampling depth (13-17 cm); (2) mean water potential of the dom- <br />inant species; (3) electrical conductivity of soils in the A sampling depth <br />(0-5 cm); (4) soil pH in the B sampling depth (13-17 cm); (5) index of soil <br />stoniness and/or compaction; and (6) percentage of sand in the soil in the <br />B sampling depth (13-17 cm). The model correct+y classified about 64% of <br /> <br />62 <br />
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