1.

Studies examining the impacts of hydraulic conditions on freshwater mussels at different flows in variable environments at multiple spatial scales.

2.

Studies examining the impacts of hydraulic conditions on freshwater mussels at different flows in variable environments at multiple spatial scales.

3.

Studies examining the impacts of hydraulic conditions on freshwater mussels at different flows in variable environments at multiple spatial scales.

4.

Studies examining the impacts of hydraulic conditions on freshwater mussels at different flows in variable environments at multiple spatial scales.

5.

Studies examining the impacts of hydraulic conditions on freshwater mussels at different flows in variable environments at multiple spatial scales.

6.

Studies examining the impacts of hydraulic conditions on freshwater mussels at different flows in variable environments at multiple spatial scales.

7.

Studies examining the impacts of hydraulic conditions on freshwater mussels at different flows in variable environments at multiple spatial scales.

8.

Studies examining the impacts of hydraulic conditions on freshwater mussels at different flows in variable environments at multiple spatial scales.

9.

Studies examining the impacts of hydraulic conditions on freshwater mussels at different flows in variable environments at multiple spatial scales.

1.

Abundance and presence of species found at 200 sampling sites partitioned amongst 70 mesohabitat units in the San Saba River, TX during 2018 surveys.

2.

Abundance and presence of species found at 200 sampling sites partitioned amongst 70 mesohabitat units in the San Saba River, TX during 2018 surveys.

3.

Abundance and presence of species found at 200 sampling sites partitioned amongst 70 mesohabitat units in the San Saba River, TX during 2018 surveys.

4.

Abundance and presence of species found at 200 sampling sites partitioned amongst 70 mesohabitat units in the San Saba River, TX during 2018 surveys.

5.

Abundance and presence of species found at 200 sampling sites partitioned amongst 70 mesohabitat units in the San Saba River, TX during 2018 surveys.

6.

Abundance and presence of species found at 200 sampling sites partitioned amongst 70 mesohabitat units in the San Saba River, TX during 2018 surveys.

7.

Abundance and presence of species found at 200 sampling sites partitioned amongst 70 mesohabitat units in the San Saba River, TX during 2018 surveys.

8.

Abundance and presence of species found at 200 sampling sites partitioned amongst 70 mesohabitat units in the San Saba River, TX during 2018 surveys.

9.

Abundance and presence of species found at 200 sampling sites partitioned amongst 70 mesohabitat units in the San Saba River, TX during 2018 surveys.

1.

Flows simulated using HEC-RAS, including exceedance probabilities for USGS gage 08144500 (San Saba at Menard) for both the period of record (1916–2022) and 1998–2018 and date and m...

2.

Flows simulated using HEC-RAS, including exceedance probabilities for USGS gage 08144500 (San Saba at Menard) for both the period of record (1916–2022) and 1998–2018 and date and m...

3.

Flows simulated using HEC-RAS, including exceedance probabilities for USGS gage 08144500 (San Saba at Menard) for both the period of record (1916–2022) and 1998–2018 and date and m...

4.

Flows simulated using HEC-RAS, including exceedance probabilities for USGS gage 08144500 (San Saba at Menard) for both the period of record (1916–2022) and 1998–2018 and date and m...

5.

Flows simulated using HEC-RAS, including exceedance probabilities for USGS gage 08144500 (San Saba at Menard) for both the period of record (1916–2022) and 1998–2018 and date and m...

6.

Flows simulated using HEC-RAS, including exceedance probabilities for USGS gage 08144500 (San Saba at Menard) for both the period of record (1916–2022) and 1998–2018 and date and m...

7.

Flows simulated using HEC-RAS, including exceedance probabilities for USGS gage 08144500 (San Saba at Menard) for both the period of record (1916–2022) and 1998–2018 and date and m...

8.

Flows simulated using HEC-RAS, including exceedance probabilities for USGS gage 08144500 (San Saba at Menard) for both the period of record (1916–2022) and 1998–2018 and date and m...

9.

Flows simulated using HEC-RAS, including exceedance probabilities for USGS gage 08144500 (San Saba at Menard) for both the period of record (1916–2022) and 1998–2018 and date and m...

1.

Complex hydraulic variables calculated in the U.S. Army Corps of Engineers Hydrologic Engineering Center’s River Analysis System (HEC-RAS).

2.

Complex hydraulic variables calculated in the U.S. Army Corps of Engineers Hydrologic Engineering Center’s River Analysis System (HEC-RAS).

3.

Complex hydraulic variables calculated in the U.S. Army Corps of Engineers Hydrologic Engineering Center’s River Analysis System (HEC-RAS).

4.

Complex hydraulic variables calculated in the U.S. Army Corps of Engineers Hydrologic Engineering Center’s River Analysis System (HEC-RAS).

5.

Complex hydraulic variables calculated in the U.S. Army Corps of Engineers Hydrologic Engineering Center’s River Analysis System (HEC-RAS).

6.

Complex hydraulic variables calculated in the U.S. Army Corps of Engineers Hydrologic Engineering Center’s River Analysis System (HEC-RAS).

7.

Complex hydraulic variables calculated in the U.S. Army Corps of Engineers Hydrologic Engineering Center’s River Analysis System (HEC-RAS).

8.

Complex hydraulic variables calculated in the U.S. Army Corps of Engineers Hydrologic Engineering Center’s River Analysis System (HEC-RAS).

9.

Complex hydraulic variables calculated in the U.S. Army Corps of Engineers Hydrologic Engineering Center’s River Analysis System (HEC-RAS).

1.

Results of random forest (RF) classification models examining the response of freshwater mussel presence to hydraulic conditions at simulated flows using site-level and mesohabitat...

2.

Results of random forest (RF) classification models examining the response of freshwater mussel presence to hydraulic conditions at simulated flows using site-level and mesohabitat...

3.

Results of random forest (RF) classification models examining the response of freshwater mussel presence to hydraulic conditions at simulated flows using site-level and mesohabitat...

4.

Results of random forest (RF) classification models examining the response of freshwater mussel presence to hydraulic conditions at simulated flows using site-level and mesohabitat...

5.

Results of random forest (RF) classification models examining the response of freshwater mussel presence to hydraulic conditions at simulated flows using site-level and mesohabitat...

6.

Results of random forest (RF) classification models examining the response of freshwater mussel presence to hydraulic conditions at simulated flows using site-level and mesohabitat...

7.

Results of random forest (RF) classification models examining the response of freshwater mussel presence to hydraulic conditions at simulated flows using site-level and mesohabitat...

8.

Results of random forest (RF) classification models examining the response of freshwater mussel presence to hydraulic conditions at simulated flows using site-level and mesohabitat...

9.

Results of random forest (RF) classification models examining the response of freshwater mussel presence to hydraulic conditions at simulated flows using site-level and mesohabitat...

1.

Results of random forest (RF) regression models examining the response of freshwater mussel log(x+1) species’ abundances to hydraulic conditions at simulated flows.

2.

Results of random forest (RF) regression models examining the response of freshwater mussel log(x+1) species’ abundances to hydraulic conditions at simulated flows.

3.

Results of random forest (RF) regression models examining the response of freshwater mussel log(x+1) species’ abundances to hydraulic conditions at simulated flows.

4.

Results of random forest (RF) regression models examining the response of freshwater mussel log(x+1) species’ abundances to hydraulic conditions at simulated flows.

5.

Results of random forest (RF) regression models examining the response of freshwater mussel log(x+1) species’ abundances to hydraulic conditions at simulated flows.

6.

Results of random forest (RF) regression models examining the response of freshwater mussel log(x+1) species’ abundances to hydraulic conditions at simulated flows.

7.

Results of random forest (RF) regression models examining the response of freshwater mussel log(x+1) species’ abundances to hydraulic conditions at simulated flows.

8.

Results of random forest (RF) regression models examining the response of freshwater mussel log(x+1) species’ abundances to hydraulic conditions at simulated flows.

9.

Results of random forest (RF) regression models examining the response of freshwater mussel log(x+1) species’ abundances to hydraulic conditions at simulated flows.

1.

WKBW-TV-60th Anniversary Special Part 3

2.

WKBW-TV-60th Anniversary Special Part 3

3.

WKBW-TV-60th Anniversary Special Part 3

4.

WKBW-TV-60th Anniversary Special Part 3

1.

Il-Gzejjer : No. 104 : 1981

2.

Il-Gzejjer : No. 104 : 1981

3.

Il-Gzejjer : No. 104 : 1981

4.

Il-Gzejjer : No. 104 : 1981

1.

Demographischer Wandel und räumliche Planung in den Niederlanden

2.

Demographischer Wandel und räumliche Planung in den Niederlanden

3.

Demographischer Wandel und räumliche Planung in den Niederlanden

4.

Demographischer Wandel und räumliche Planung in den Niederlanden

5.

Demographischer Wandel und räumliche Planung in den Niederlanden

6.

Demographischer Wandel und räumliche Planung in den Niederlanden

7.

Demographischer Wandel und räumliche Planung in den Niederlanden

8.

Demographischer Wandel und räumliche Planung in den Niederlanden

9.

Demographischer Wandel und räumliche Planung in den Niederlanden

1.

Resort Alleys on the Baltic Sea Southern Coast in the 19th Century

2.

Resort Alleys on the Baltic Sea Southern Coast in the 19th Century

3.

Resort Alleys on the Baltic Sea Southern Coast in the 19th Century

4.

Resort Alleys on the Baltic Sea Southern Coast in the 19th Century