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constructed wetland montage
A seasonal wetland engineered to have a deeper and shallow pool
A seasonal wetland engineered to have a deeper and shallow pool
A seasonal wetland engineered to have a deeper and shallow pool

A three year study was conducted in seasonal wetlands to determine if a deep and shallow water pool resulted in a reduction of methylmercury in caged fish and surface water.

Schematic of two wetland treatments
A seasonal wetland engineered to have a deeper and shallow pool
A seasonal wetland engineered to have a deeper and shallow pool
A seasonal wetland engineered to have a deeper and shallow pool

Graphical depiction of a seasonal wetland engineered to have a deeper pool and more open water on the downstream side of the wetland. This management strategy was tested during a 3-year period to determine if it resulted in a reduction of methylmercury in caged fish and surface water.

Graphical depiction of a seasonal wetland engineered to have a deeper pool and more open water on the downstream side of the wetland. This management strategy was tested during a 3-year period to determine if it resulted in a reduction of methylmercury in caged fish and surface water.

Cyanobacteria Bloom Magnitude Estimated for Florida and Ohio Lakes
Algal bloom magnitude in Florida lakes
Algal bloom magnitude in Florida lakes
Algal bloom magnitude in Florida lakes

(A). Algal bloom magnitude in Florida lakes in 2011 before normalization and (B) after normalization by lake surface area. Area-normalized magnitude (km−2) of selected lakes provided as part of bar labels in parenthesis.

(A). Algal bloom magnitude in Florida lakes in 2011 before normalization and (B) after normalization by lake surface area. Area-normalized magnitude (km−2) of selected lakes provided as part of bar labels in parenthesis.

Map of the study region showing the location of lakes in (A) Florida and (B) Ohio
Map of the study region showing the location of lakes in FL and OH
Map of the study region showing the location of lakes in FL and OH
Map of the study region showing the location of lakes in FL and OH

Map of the study region showing the location of lakes in (A) Florida and (B) Ohio. In total, 135 lakes in Florida and 21 lakes in Ohio, were resolvable with the full resolution MERIS data and are used in this study. Land and lakes are shown in gray and blue colors respectively.

Map of the study region showing the location of lakes in (A) Florida and (B) Ohio. In total, 135 lakes in Florida and 21 lakes in Ohio, were resolvable with the full resolution MERIS data and are used in this study. Land and lakes are shown in gray and blue colors respectively.

picture of water running off an agricultural field through a weir
Sampling rain induced runoff from wastewater effluent-irrigated agricultural runoff site on August 30, 2019, at the Oklahoma State University South Central Research Station in Chickasha, Oklahoma. Photograph by Jason Masoner, U.S. Geological Survey.
Sampling rain induced runoff from wastewater effluent-irrigated agricultural runoff site on August 30, 2019, at the Oklahoma State University South Central Research Station in Chickasha, Oklahoma. Photograph by Jason Masoner, U.S. Geological Survey.
Sampling rain induced runoff from wastewater effluent-irrigated agricultural runoff site on August 30, 2019, at the Oklahoma State University South Central Research Station in Chickasha, Oklahoma. Photograph by Jason Masoner, U.S. Geological Survey.

This photo show runoff from an experimental plot through a weir.  Scientists carried out the study at the Oklahoma State University South Central Research Station in Chickasha, Oklahoma. Its a good example of rain induced runoff. 

Graphical depiction of three sources of variation in methylmercury accumulation
Graphical depiction of three sources of variation in methylmercury
Graphical depiction of three sources of variation in methylmercury
Graphical depiction of three sources of variation in methylmercury

Graphical depiction of three sources of variation that can affect accumulation of methylmercury in black rails: habitat (sediment) biogeochemistry, food web structure and biomagnification, and diet composition. Methylmercury moves from the sediment into the wetland food web and accumulates in rail tissues.

Graphical depiction of three sources of variation that can affect accumulation of methylmercury in black rails: habitat (sediment) biogeochemistry, food web structure and biomagnification, and diet composition. Methylmercury moves from the sediment into the wetland food web and accumulates in rail tissues.

The cyanobacteria Gleotrichia shown under a microscope from a water sample collected at Ek Lake Trail
The cyanobacteria Gleotrichia shown under a microscope
The cyanobacteria Gleotrichia shown under a microscope
The cyanobacteria Gleotrichia shown under a microscope

The cyanobacteria Gleotrichia shown under a microscope from a water sample collected at Ek Lake Trail, a popular recreational area in Kabetogama Lake where algal blooms frequently occur. Gleotrichia  can produce microcystin.

The cyanobacteria Gleotrichia shown under a microscope from a water sample collected at Ek Lake Trail, a popular recreational area in Kabetogama Lake where algal blooms frequently occur. Gleotrichia  can produce microcystin.

Cyanobacterial bloom
Cyanobacterial bloom at Kabetogama Lake Visitor Center
Cyanobacterial bloom at Kabetogama Lake Visitor Center
USGS group photo of Bemidji oil spill research project team
Bemidji oil spill research team group photo
Bemidji oil spill research team group photo
Bemidji oil spill research team group photo

Group photo of USGS Bemidi oil spill research team meeting in June of 2019 at Ruttgers Birchmont Lodge in Bemidji, MN.

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