Filters: Tags: river ecosystems (X)6 results (21ms)
Rainbow trout growth data and growth covariate data downstream of Glen Canyon Dam in the Colorado River, Arizona, 2012 - 2016
These data are the primary data used to estimate rainbow trout abundance and survival in the Colorado River, Glen and Grand Canyons. Refer to the analyses as per the associated journal manuscript (see Larger Work Citation). Prey availability, feeding efficiency, and competition reduce somatic growth and cause the collapse of a fish population" Nighttime boat electrofishing was used to sample rainbow trout four times per year in April, July, September, and January, from April 2012 through September 2016. A total of five reaches were sampled between Glen Canyon Dam (river kilometer [rkm] 0) to below the confluence with the Little Colorado River (located at rkm 130). Reaches ranged from two to six km in length. A total...
Measurements of bed grain size on the Colorado River in Grand Canyon National Park, Arizona - 2000 to 2014
These data were compiled to better understand sedimentation patterns on the bed of the Colorado River in Grand Canyon National Park, and the way these patterns relate to suspended sediment grain size and concentration. These data were collected by the US Geological Survey Grand Canyon Monitoring and Research Center from 2000 to 2014, primarily using the "Flying Eyeball" underwater imaging system. This dataset is composed of over 50,000 samples, as part of 16 individual data tables from 16 research expeditions. On each expedition, grain size measurements were made in a grid-like pattern over short segments of the river. Each point sample includes mean grain size, geographic coordinates, date, and geomorphic setting.
Locality based caddisfly (Hydropsyche oslari) sampling data and CO1 sequences from the southwestern United States, 2013-2016
These data were compiled for a mtDNA (CO1 gene) analysis of net-spinning caddisflies (Hydropsyche oslari) in the Colorado River Basin of the western United States. They were incorporated in a study that investigated the genetic diversity and population structure of H. oslari relative to the river network structure in the Upper and Lower Colorado River Basins. The data were collected from 2015 to 2016 through a collaboration with river runners. These citizen scientists collected insects by deploying light traps for one hour each night of their expedition. Light trap contents were preserved in ethanol on site and returned to the Southwest Biological Science Center in Flagstaff, Arizona for analysis in the laboratory.
Carbon, nitrogen, and phosphorus content of adult emergent Diptera before and after a fire-storm sequence in the Colorado River near Shinumo Creek, Grand Canyon, AZ
This dataset includes total phosphorus (TP), total nitrogen (TN), and total carbon (TC) concentrations as well as δ15N and δ13C composition, and overall C:N:P stoichiometry for adult emergent Diptera from the Colorado River, Grand Canyon, AZ. The samples were collected before and after a fire and subsequent storm occurred in the Shinumo Watershed, a tributary to the Colorado River in Northern Arizona. Diptera specimens were collected via light traps placed on the banks of the Colorado River 25 miles above and 25 miles below Shinumo Creek (river miles 85-135) between 2013 and 2015. This data series contains Diptera TP concentrations (in mg P per mg Diptera) for 44 samples from 11 location/date combinations. We also...
Zooplankton Community Data at the Sheboygan River Area of Concern and Non-Areas of Concern Comparison Sites in Western Lake Michigan Rivers and Harbors in 2016
Data are for zooplankton communities sampled in 2016 at the Sheboygan River Area of Concern and two comparison sites, the Kewaunee River and the Manitowoc River, which have similar physical and chemical characteristics. Zooplankton were collected by using tows from depth to the surface with a 63 micrometer mesh plankton net. Physical and chemical data that were sampled concurrently (specific conductance, temperature, pH, and dissolved oxygen) in water by use of a multi-parameter water-quality sonde, and the results of field quality assurance quality control are also included.