1.

Selected, minimum, and maximum Manning’s coefficients [64] tested during sensitivity analysis for landcover present in the floodplain near the San Saba River, TX, U.S.A used in a 2...

2.

Selected, minimum, and maximum Manning’s coefficients [64] tested during sensitivity analysis for landcover present in the floodplain near the San Saba River, TX, U.S.A used in a 2...

3.

Selected, minimum, and maximum Manning’s coefficients [64] tested during sensitivity analysis for landcover present in the floodplain near the San Saba River, TX, U.S.A used in a 2...

4.

Selected, minimum, and maximum Manning’s coefficients [64] tested during sensitivity analysis for landcover present in the floodplain near the San Saba River, TX, U.S.A used in a 2...

5.

Selected, minimum, and maximum Manning’s coefficients [64] tested during sensitivity analysis for landcover present in the floodplain near the San Saba River, TX, U.S.A used in a 2...

6.

Selected, minimum, and maximum Manning’s coefficients [64] tested during sensitivity analysis for landcover present in the floodplain near the San Saba River, TX, U.S.A used in a 2...

7.

Selected, minimum, and maximum Manning’s coefficients [64] tested during sensitivity analysis for landcover present in the floodplain near the San Saba River, TX, U.S.A used in a 2...

1.

Average ± standard deviation of hydraulic conditions for simulated flow events at 200 sampling sites in the upper San Saba River, TX.

2.

Average ± standard deviation of hydraulic conditions for simulated flow events at 200 sampling sites in the upper San Saba River, TX.

3.

Average ± standard deviation of hydraulic conditions for simulated flow events at 200 sampling sites in the upper San Saba River, TX.

4.

Average ± standard deviation of hydraulic conditions for simulated flow events at 200 sampling sites in the upper San Saba River, TX.

5.

Average ± standard deviation of hydraulic conditions for simulated flow events at 200 sampling sites in the upper San Saba River, TX.

6.

Average ± standard deviation of hydraulic conditions for simulated flow events at 200 sampling sites in the upper San Saba River, TX.

7.

Average ± standard deviation of hydraulic conditions for simulated flow events at 200 sampling sites in the upper San Saba River, TX.

1.

Estimates of median average hydraulic variables (median ± standard deviation) for 200 sites in the San Saba River, TX given minimum, selected, and maximum Manning’s coefficients fo...

2.

Estimates of median average hydraulic variables (median ± standard deviation) for 200 sites in the San Saba River, TX given minimum, selected, and maximum Manning’s coefficients fo...

3.

Estimates of median average hydraulic variables (median ± standard deviation) for 200 sites in the San Saba River, TX given minimum, selected, and maximum Manning’s coefficients fo...

4.

Estimates of median average hydraulic variables (median ± standard deviation) for 200 sites in the San Saba River, TX given minimum, selected, and maximum Manning’s coefficients fo...

5.

Estimates of median average hydraulic variables (median ± standard deviation) for 200 sites in the San Saba River, TX given minimum, selected, and maximum Manning’s coefficients fo...

6.

Estimates of median average hydraulic variables (median ± standard deviation) for 200 sites in the San Saba River, TX given minimum, selected, and maximum Manning’s coefficients fo...

7.

Estimates of median average hydraulic variables (median ± standard deviation) for 200 sites in the San Saba River, TX given minimum, selected, and maximum Manning’s coefficients fo...

1.

Spearman correlation coefficients (r) between hydraulic variables and mussel indicators at the site scale.

2.

Spearman correlation coefficients (r) between hydraulic variables and mussel indicators at the site scale.

3.

Spearman correlation coefficients (r) between hydraulic variables and mussel indicators at the site scale.

4.

Spearman correlation coefficients (r) between hydraulic variables and mussel indicators at the site scale.

5.

Spearman correlation coefficients (r) between hydraulic variables and mussel indicators at the site scale.

6.

Spearman correlation coefficients (r) between hydraulic variables and mussel indicators at the site scale.

7.

Spearman correlation coefficients (r) between hydraulic variables and mussel indicators at the site scale.

1.

Spearman correlation coefficients (r) between hydraulic variables and mussel indicators at the mesohabitat scale.

2.

Spearman correlation coefficients (r) between hydraulic variables and mussel indicators at the mesohabitat scale.

3.

Spearman correlation coefficients (r) between hydraulic variables and mussel indicators at the mesohabitat scale.

4.

Spearman correlation coefficients (r) between hydraulic variables and mussel indicators at the mesohabitat scale.

5.

Spearman correlation coefficients (r) between hydraulic variables and mussel indicators at the mesohabitat scale.

6.

Spearman correlation coefficients (r) between hydraulic variables and mussel indicators at the mesohabitat scale.

7.

Spearman correlation coefficients (r) between hydraulic variables and mussel indicators at the mesohabitat scale.

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1.

Variable importance plots for random forest regressions predicting abundances of Cyrtonaias tampicoensis , Lampsilis bracteata , and Utterbackia imbecillis using modeled hydraulic...

2.

Variable importance plots for random forest regressions predicting abundances of Cyrtonaias tampicoensis , Lampsilis bracteata , and Utterbackia imbecillis using modeled hydraulic...

3.

Variable importance plots for random forest regressions predicting abundances of Cyrtonaias tampicoensis , Lampsilis bracteata , and Utterbackia imbecillis using modeled hydraulic...

4.

Variable importance plots for random forest regressions predicting abundances of Cyrtonaias tampicoensis , Lampsilis bracteata , and Utterbackia imbecillis using modeled hydraulic...

5.

Variable importance plots for random forest regressions predicting abundances of Cyrtonaias tampicoensis , Lampsilis bracteata , and Utterbackia imbecillis using modeled hydraulic...

6.

Variable importance plots for random forest regressions predicting abundances of Cyrtonaias tampicoensis , Lampsilis bracteata , and Utterbackia imbecillis using modeled hydraulic...

7.

Variable importance plots for random forest regressions predicting abundances of Cyrtonaias tampicoensis , Lampsilis bracteata , and Utterbackia imbecillis using modeled hydraulic...

1.

Additional methodology for field data collection and HEC-RAS model preparation.

2.

Additional methodology for field data collection and HEC-RAS model preparation.

3.

Additional methodology for field data collection and HEC-RAS model preparation.

4.

Additional methodology for field data collection and HEC-RAS model preparation.

5.

Additional methodology for field data collection and HEC-RAS model preparation.

6.

Additional methodology for field data collection and HEC-RAS model preparation.

7.

Additional methodology for field data collection and HEC-RAS model preparation.

1.

Data flow diagram describing inputs and outputs of data analysis, including the data used to create a two-dimensional HEC-RAS model to simulate flow conditions in a segment of the...

2.

Data flow diagram describing inputs and outputs of data analysis, including the data used to create a two-dimensional HEC-RAS model to simulate flow conditions in a segment of the...

3.

Data flow diagram describing inputs and outputs of data analysis, including the data used to create a two-dimensional HEC-RAS model to simulate flow conditions in a segment of the...

4.

Data flow diagram describing inputs and outputs of data analysis, including the data used to create a two-dimensional HEC-RAS model to simulate flow conditions in a segment of the...

5.

Data flow diagram describing inputs and outputs of data analysis, including the data used to create a two-dimensional HEC-RAS model to simulate flow conditions in a segment of the...

6.

Data flow diagram describing inputs and outputs of data analysis, including the data used to create a two-dimensional HEC-RAS model to simulate flow conditions in a segment of the...

7.

Data flow diagram describing inputs and outputs of data analysis, including the data used to create a two-dimensional HEC-RAS model to simulate flow conditions in a segment of the...