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Koontz, J., D.G. Huggins, C.C. Freeman, D.S. Baker - Central Plains ...

Koontz, J., D.G. Huggins, C.C. Freeman, D.S. Baker - Central Plains ...

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Count SSS Intolerant Taxa<br />

Count HM Intolerant Taxa<br />

12<br />

11<br />

10<br />

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8<br />

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4<br />

3<br />

2<br />

1<br />

0<br />

25<br />

20<br />

15<br />

10<br />

5<br />

0<br />

a<br />

1 2<br />

Study Phase<br />

c<br />

1 2<br />

Study Phase<br />

Percent Hydroptilidae<br />

Percent Burrowers<br />

Figure 46. Box plots of macroinvertebrate metrics shown to be significantly different in<br />

ANOVA testing for population differences. (a) Count of Taxa Intolerant to Suspended Solids<br />

and Sediments (SSS). (b) Percent Hydroptilidae. (c) Count of Taxa Intolerant to Heavy Metals<br />

(HM). (d) Percent Burrowers. Box area represents inner quartile range, while “whiskers”<br />

represent the upper and lower observations.<br />

Metric Correlations<br />

The metrics selected after ANOVA testing were found to have significant relationships to many wetland<br />

water quality parameters and floristic quality values. While correlation does necessarily mean<br />

causation, most of the variability in the metrics were thought to be the result of either indirect or direct<br />

biological responses associated with these water quality and floristic factors. Many important water<br />

quality measures were correlated with multiple macroinvertebrate metrics, suggesting these metrics may<br />

have broad application as water quality indicators for wetland systems.<br />

Percent Hydroptilidae was significantly correlated with depth to flood (DTF), mean specific<br />

conductivity, total organic carbon (TOC), dissolved organic carbon (DOC), and atrazine metabolite<br />

desisopropylatrazine (DIA), and desethylatrazine (DEA) (Table 13). However, for many samples<br />

collected during Phases I and II, the value of this metric was zero. Then these samples were removed<br />

from the analysis, only mean conductivity, TOC, and DIA were found to be significantly correlated to<br />

Percent Hydroptilidae. A robust regression model explained over 40% of the variation in Percent<br />

Hydroptilidae (adjusted R 2 =0.41).<br />

10<br />

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100<br />

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80<br />

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40<br />

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64 of 84<br />

b<br />

1 2<br />

Study Phase<br />

d<br />

1 2<br />

Study Phase

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