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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....
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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.
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.
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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...
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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.
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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.
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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,...
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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.
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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,...
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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.
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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....
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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.
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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.
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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...
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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...


    map background search result map search result map Empirical Models for Estimating Baseline Streamflows in California and their Likelihood of Anthropogenic Modification Select watershed attributes for California stream segments (NHDPlus V.1) Matched ecological assessment and stream gaging data for the CONUS Natural Monthly Flow Estimates for the Conterminous United States, 1950-2015 Trends in selected streamflow metrics at reference streamgages in the conterminous United States, 1955-2014 Datasets used to evaluate the effects of antecedent streamflow and sample timing on trend assessments of fish, invertebrate and diatom communities across the United States, 2002-12 (input) Datasets used to evaluate the effects of antecedent streamflow and sample timing on trend assessments of fish, invertebrate and diatom communities across the United States, 2002-12 (output) Regional-scale Model Predictions of the Relation Between Biological Integrity and Streamflow Modification Predicted Streamflow Modification for NHD Stream Reaches of the Conterminous United States (1980-2015) Dataset for an ecological risk assessment of Fipronil compounds in U.S. streams 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 Datasets for estimating invertebrate response to changes in total nitrogen, total phosphorus, and specific conductance at sites where invertebrate data are unavailable Functional Flow Metrics for Select Reference Sites in California: Data Release for Modeling Data Release for: A Web-Based Tool for Assessing the Condition of Benthic Diatom Assemblages in Streams and Rivers of the Conterminous United States 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 Functional Flow Metrics for Select Reference Sites in California: Data Release for Modeling Select watershed attributes for California stream segments (NHDPlus V.1) Empirical Models for Estimating Baseline Streamflows in California and their Likelihood of Anthropogenic Modification Matched ecological assessment and stream gaging data for the CONUS Datasets used to evaluate the effects of antecedent streamflow and sample timing on trend assessments of fish, invertebrate and diatom communities across the United States, 2002-12 (input) Datasets used to evaluate the effects of antecedent streamflow and sample timing on trend assessments of fish, invertebrate and diatom communities across the United States, 2002-12 (output) Datasets for estimating invertebrate response to changes in total nitrogen, total phosphorus, and specific conductance at sites where invertebrate data are unavailable Dataset for an ecological risk assessment of Fipronil compounds in U.S. streams Natural Monthly Flow Estimates for the Conterminous United States, 1950-2015 Regional-scale Model Predictions of the Relation Between Biological Integrity and Streamflow Modification Trends in selected streamflow metrics at reference streamgages in the conterminous United States, 1955-2014 Data Release for: A Web-Based Tool for Assessing the Condition of Benthic Diatom Assemblages in Streams and Rivers of the Conterminous United States Predicted Streamflow Modification for NHD Stream Reaches of the Conterminous United States (1980-2015)