The U.S. Geological Survey (USGS) in cooperation with NOAA, developed a regression model for estimating August mean baseflow per square mile of drainage area to help resource managers assess relative amounts of baseflow in streams with Maine Atlantic Salmon habitat. The model was derived from August mean baseflows computed at 31 USGS streamgages in and near the Gulf of Maine Atlantic Salmon Habitat Recovery Units. An ordinary least squares regression model estimates August mean baseflow per unit drainage area using two explanatory variables: percentage of the basin underlain by sand and gravel aquifers, and the basin mean July precipitation. This model provides the means to estimate August mean baseflow in cubic feet per second per square mile of basin area on user-selected ungaged sites throughout Maine south of 46º 21′55″ N latitude. Estimates will support prioritization of habitat conservation and restoration work for those reaches that offer baseflow refugia during summer low-flow periods, and thus have the potential to be high-quality Atlantic Salmon habitat. This data release includes 3 excel tables of data used in these analyses.

The U.S. Geological Survey (USGS) developed a regression model for estimating mean August baseflow per square mile of drainage area in cooperation with National Oceanic and Atmospheric Administration (NOAA) to help resource managers assess relative amounts of baseflow in streams with Maine Atlantic Salmon habitat (Lombard and others, 2021). The model was applied to each reach of a stream network derived from select National Hydrography Dataset Plus High-Resolution (NHDPlusHR) data in the State of Maine south of 46º 21′55″ N latitude. The spatial coverage developed from the stream network contains model-estimated mean August baseflow per square mile of drainage area as an attribute of each NHDPlusHR reach. It is provided here as a shapefile (“Maine_Mean_August_Baseflow_Map.zip”) and published as a Web Map Service (WMS) layer that is hosted as a state map layer on the StreamStats web application for Maine (https://streamstats.usgs.gov/ss/). Please note that the regression equation from Lombard and others (2021) used to calculate model-estimated mean August baseflow values was adapted for English units for this application. The adapted equation is as follows: BFaug = -0.623 + 0.00988AQ + 0.241JULYAVEPRE Where BFaug is the mean August baseflow in cubic feet per second per square miles of drainage area; AQ is the fraction of the basin underlain by sand and gravel aquifers; and JULYAVEPRE is the basin-wide average of the mean July precipitation in inches. The model has an adjusted coefficient of determination (R²) of 0.78 and a mean 95% prediction interval of plus or minus 0.183 cubic feet per second per square mile.

The U.S. Geological Survey (USGS) developed a regression model for estimating mean August baseflow per square mile of drainage area in cooperation with National Oceanic and Atmospheric Administration (NOAA) to help resource managers assess relative amounts of baseflow in streams with Maine Atlantic Salmon habitat (Lombard and others, 2021). The model was applied to each reach of a stream network derived from select National Hydrography Dataset Plus High-Resolution (NHDPlusHR) data in the State of Maine south of 46º 21′55″ N latitude. The spatial coverage developed from the stream network contains model-estimated mean August baseflow per square mile of drainage area as an attribute of each NHDPlusHR reach. It is provided here as a shapefile (“Maine_Mean_August_Baseflow_Map.zip”) and published as a Web Map Service (WMS) layer that is hosted as a state map layer on the StreamStats web application for Maine (https://streamstats.usgs.gov/ss/). Please note that the regression equation from Lombard and others (2021) used to calculate model-estimated mean August baseflow values was adapted for English units for this application. The adapted equation is as follows: BFaug = -0.623 + 0.00988AQ + 0.241JULYAVEPRE Where BFaug is the mean August baseflow in cubic feet per second per square miles of drainage area; AQ is the fraction of the basin underlain by sand and gravel aquifers; and JULYAVEPRE is the basin-wide average of the mean July precipitation in inches. The model has an adjusted coefficient of determination (R²) of 0.78 and a mean 95% prediction interval of plus or minus 0.183 cubic feet per second per square mile.

the datasets include: Land surface model (VIC) simulation of historical and future streamflow data. This dataset is associated with the following publication: Reeder, W., F. Gariglio, R.S. Carnie, C. Tang, D. Isaak, C. Qiuwen , Y. Zhongbo, J.A. McKean, and D. Tonina. Some (Fish Might) Like It Hot: Climate and Habitat Quality Variability from Past to Future Climates. SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM, NETHERLANDS, 787: 147532, (2021).

the datasets include: Land surface model (VIC) simulation of historical and future streamflow data. This dataset is associated with the following publication: Reeder, W., F. Gariglio, R.S. Carnie, C. Tang, D. Isaak, C. Qiuwen , Y. Zhongbo, J.A. McKean, and D. Tonina. Some (Fish Might) Like It Hot: Climate and Habitat Quality Variability from Past to Future Climates. SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM, NETHERLANDS, 787: 147532, (2021).

The dataset contains long-term and short-term summaries of streamflow alteration and measures of biological condition (fish multi-metric index). Streamflow alteration metrics include the magnitude, duration, frequency, and seasonality of high and low flow streamflow. Biological condition was estimated from the National Rivers and Streams Assessment and National Water Quality Assessment fish sampling programs. Using fish samples, a fish multi-metric index was calculated and categorized into altered versus non-altered fish communities.

The dataset contains long-term and short-term summaries of streamflow alteration and measures of biological condition (fish multi-metric index). Streamflow alteration metrics include the magnitude, duration, frequency, and seasonality of high and low flow streamflow. Biological condition was estimated from the National Rivers and Streams Assessment and National Water Quality Assessment fish sampling programs. Using fish samples, a fish multi-metric index was calculated and categorized into altered versus non-altered fish communities.

This USGS data release documents species distribution models for 419 fluvial fish species in their native ranges of the conterminous United States. Source data, supporting code and model results are documented in this data package. Boosted Regression Tree (BRT) models were used to develop presence/absence predictions for each of the National Hydrography Dataset Plus Version 2.1 stream segments within a species' native range. The predictions provided can be linked to the NHDPlusV2.1 geospatial dataset through the Common identifier of an NHDFlowline feature (COMID) to create a spatial depiction of the models. A readme file and metadata (xml) provide further information on included data and processing steps.

This USGS data release documents species distribution models for 419 fluvial fish species in their native ranges of the conterminous United States. Source data, supporting code and model results are documented in this data package. Boosted Regression Tree (BRT) models were used to develop presence/absence predictions for each of the National Hydrography Dataset Plus Version 2.1 stream segments within a species' native range. The predictions provided can be linked to the NHDPlusV2.1 geospatial dataset through the Common identifier of an NHDFlowline feature (COMID) to create a spatial depiction of the models. A readme file and metadata (xml) provide further information on included data and processing steps.

This USGS data release documents species distribution models for 419 fluvial fish species in their native ranges of the conterminous United States. Source data, supporting code and model results are documented in this data package. Boosted Regression Tree (BRT) models were used to develop presence/absence predictions for each of the National Hydrography Dataset Plus Version 2.1 stream segments within a species' native range. The predictions provided can be linked to the NHDPlusV2.1 geospatial dataset through the Common identifier of an NHDFlowline feature (COMID) to create a spatial depiction of the models. A readme file and metadata (xml) provide further information on included data and processing steps.