Filters: partyWithName: Daren M Carlisle (X) > partyWithName: Water Resources (X)
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Benthic diatom assemblages are known to be indicative of water quality but have yet to be widely adopted in biological assessments in the United States due to several limitations. Our goal was to address some of these limitations by developing regional multi-metric indices (MMIs) that are robust to inter-laboratory taxonomic inconsistency, adjusted for natural covariates, and sensitive to a wide range of anthropogenic stressors. We aggregated bioassessment data from two national-scale federal programs and used a data-driven analysis in which all-possible combinations of 2-7 metrics were compared for three measures of performance. The datasets in this release support the Carlisle, et al. 2022 report cited herein....
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Aquatic Biology,
Ecology,
USGS Science Data Catalog (SDC),
Water Quality,
algae,
Ecological assessment data from the USGS National Water-Quality Assessment Program and the USEPA National River and Stream Assessment were reviewed and records were retained from sampling sites co-located with active USGS stream gages. A limited amount of ancillary data, including location, physical watershed features, and basic water chemistry data for each site were also retained.
Categories: Data;
Types: Citation,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Aquatic Biology,
Ecology,
National Water Quality Program,
USGS Science Data Catalog (SDC),
United States,
Detecting trends in biological attributes is central to many stream monitoring programs; however, understanding how natural variability in environmental factors affects trend results is not well understood. We evaluated the influence of antecedent streamflow and sample timing (covariates) on trend estimates for fish, invertebrate, and diatom taxa richness and biolgical condition from 2002 to 2012 at 51 sites distributed across the conterminous United States. This data release contains all of the input and output files necessary to reproduce the results presented and discussed in the associated journal article.
This metadata record describes monthly estimates of natural baseflow for 15,866 stream reaches, defined by the National Hydrography Dataset Plus Version 2.0 (NHDPlusV2), in the Delaware River Basin for the period 1950-2015. A statistical machine learning technique - random forest modeling (Liaw and Wiener, 2018; R Core Team, 2020) - was applied to estimate natural flows using about 150 potential predictor variables (Miller and others, 2018). Calibration data used for the random forest model are available from (Foks and others, 2020). Each model was run twice, first using all potential predictor variables, which represents a "full" model run, and a second time using the top 20 predictors from the original run, which...
Categories: Data;
Tags: Delaware,
Delaware River Basin,
Hydrology,
National Hydrography Dataset Plus Version 2.0,
New Jersey,
The hydrologic modeling approach used to predict functional flows relies on daily streamflow data from gages operated by the U.S. Geological Survey (USGS) in California. This dataset contains, for each of 219 gages, a collection of metrics computed on each water year for the period of record to and including Water Year 2016.
Categories: Data;
Tags: Aquatic Biology,
California,
Ecology,
Hydrology,
USGS Science Data Catalog (SDC),
This data set includes 28 physical watershed attributes for each of 135,118 stream segments (National Hydrodraphy Dataset, Version 1) in California. These data were used to support a report entitled: "Classification of California streams using combined deductive and inductive approaches: setting the foundation for analysis of hydrologic alteration" authored by Pyne, Carlisle, Konrad, and Stein, and published in the journal Ecohydrology. Specifically, these data were used in a classification (ie, cluster) analysis to identify unique groupings of watersheds with similar hydrological characteristics.
Categories: Data;
Tags: California,
National Hydrography Dataset,
USGS Science Data Catalog (SDC),
Water Resources
The US Geological Survey (USGS) conducted a study (Carlisle and others 2017) with a national-scale dataset composed of ecological data from the USGS National Water-Quality Assessment Project and the US Environmental Protection Agency, matched to USGS streamgaging sites. In a follow-up study (Carlisle and others 2019), additional data from three regional assessments conducted by USGS were combined with data from the original study, and these new data are published here. Using all of the aforementioned datasets, the follow-up study (Carlisle and others, 2019) then developed regional-scale model predictions of the relation between streamflow modification and indicators of biological integrity. These model predictions,...
Empirical models described in previous publications were developed and applied to estimate the probability of streamflow modification for every stream segment in the conterminous United States from 1980-2015. This metadata record documents 6 comma separated tables populated with predictions of streamflow modification (please see the Supplemental Element for citations or please refer to the cross-reference section). These data are based on watershed attributes computed for each NHDPlus v2.1 reach that were subsequently applied to previously published (and herein described) machine-learning models.
Categories: Data;
Tags: Aquatic Biology,
Conterminous United States,
Ecology,
Hydrology,
USGS Science Data Catalog (SDC),
This dataset includes four tables related to annual trends in streamflow metrics at 599 reference streamgages in the conterminous United States for the period 1955-2014. Reference streamgages are defined here as gages with drainage basins that are minimally impacted by anthropogenic effects such as reservoirs or urbanization. The four tables are: 1) computed annual values for 16 streamflow metrics, 2) trend estimates for the 16 streamflow metrics for the period 1955-2014, 3) metric names and definitions, and 4) location information (latitude and longitude) for the 599 sites. The computed annual values for the 16 streamflow metrics are: low flow magnitude, low flow frequency, low flow duration, high flow magnitude,...
Categories: Data;
Tags: Conterminous U.S.,
Sen slope,
USGS Science Data Catalog (SDC),
Water Resources,
reference sites,
Detecting trends in biological attributes is central to many stream monitoring programs; however, understanding how natural variability in environmental factors affects trend results is not well understood. We evaluated the influence of antecedent streamflow and sample timing (covariates) on trend estimates for fish, invertebrate, and diatom taxa richness and biological condition from 2002 to 2012 at 51 sites distributed across the conterminous United States. This data release contains all of the input and output files necessary to reproduce the results presented and discussed in the associated journal article.
This metadata record describes monthly estimates of natural stream flows for greater than 2.5 million stream reaches, defined by the National Hydrography Dataset (NHD) Version 2.0, in the conterminous United States for the period 1950-2015. A statistical machine learning technique - random forest modeling - was applied to estimate natural flows using 200 potential predictor variables. The dataset is organized by level 3 ecoregions, with each ecoregion having its own directory. Separate .csv files for each stream reach in the NHD network belonging to a given ecoregion are contained within the respective ecoregion directories. The stream reach .csv files are named as the NHD COMID corresponding to that stream reach....
The dataset contain estimates of natural monthly streamflow for 135,118 stream segments in California, USA, from 1950 to 2012. These estimates were made using statistical models described in Carlisle and others, 2016, Open File Report 2016-1189. Segments are identified per the medium resolution National Hydrography Dataset (NHD), Version 1. The dataset also contains observed monthly streamflows and estimates of natural monthly streamflows for 894 USGS stream gages in California, USA.
Categories: Data;
Tags: California,
California,
National Hydrography Dataset,
National Water Quality Program,
Statistical model,
Detecting trends in biological attributes is central to many stream monitoring programs; however, understanding how natural variability in environmental factors affects trend results is not well understood. We evaluated the influence of antecedent streamflow and sample timing (covariates) on trend estimates for fish, invertebrate, and diatom taxa richness and biolgical condition from 2002 to 2012 at 51 sites distributed across the conterminous United States. This data release contains all of the input and output files necessary to reproduce the results presented and discussed in the associated journal article.
These data were used to describe a possible approach to estimate changes in invertebrate taxa richness at sites across the United States with known water-quality trends but no invertebrate data. This data release consists of invertebrate, water-quality, and covariate data from 1,322 sites and water-quality, covariate, and trend result data from an additional 259 sites with reported water-quality trends but no invertebrate data. Collectively, these data were used to describe invertebrate response to total nitrogen, total phosphorus, or specific conductance and to estimate changes in invertebrate taxa richness in response to changes in water-quality. Description of data processing and analysis are documented in the...
Categories: Data;
Tags: Aquatic Biology,
Ecology,
USGS Science Data Catalog (SDC),
Water Quality,
inlandWaters,
The phenylpyrazole insecticide fipronil and its degradates are a potential surface-water contaminant and toxicant to nontarget species such as aquatic macroinvertebrates. To better understand how fipronil, fipronil sulfide, fipronil sulfone, desulfinyl fipronil, and fipronil amide affect aquatic communities, a 30-day mesocosm experiment was run. Rock trays were colonized with natural benthic communities in the Cache La Poudre River in the mountains of northern Colorado and transplanted into a laboratory experimental stream setting. In total, there were 36 experimental streams: 3 controls, 3 solvent controls, and 30 treatments. Water quality metrics and samples for pesticide analysis were collected throughout the...
Categories: Data;
Tags: Aquatic Biology,
Environmental Health,
USGS Science Data Catalog (SDC),
United States,
Water Quality,
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