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Centerline of the Illinois River between Marseilles Lock and Dam and the Mississippi River Confluence
The Fluvial Egg Drift Simulator (FluEgg) estimates bighead, silver, and grass carp egg and larval drift in rivers using species-specific egg developmental data combined with user-supplied hydraulic inputs (Garcia and others, 2013, Domanski, 2020). This data release contains results from 240 FluEgg 4.1.0 simulations of bighead carp eggs in the Illinois River under steady flow conditions. The data release also contains the hydraulic inputs used in the FluEgg simulations and a KML file of the centerline that represents the model domain. FluEgg simulations were run for all combinations of four spawning locations, six water temperatures, and ten steady flow conditions. Each simulation included 5,000 bighead carp eggs, which develop and eventually hatch into larvae. The simulations end when the larvae reach the gas bladder inflation stage. The four spawning locations were just downstream of the lock and dam structures at Marseilles, Starved Rock, Peoria, and LaGrange. For each of these spawning locations, the eggs were assumed to have been spawned at the water surface and at the midpoint of the channel. The six water temperatures were 18, 20, 22, 24, 26, and 28 degrees Celsius. The ten steady flow conditions ranged from half the annual mean flow to the 500-year peak flow and are discussed in more detail below. Note that in the streamwise coordinate system used by FluEgg, the streamwise coordinate of the Mississippi River confluence is 396,639 meters. Any drift distances greater than this value should be excluded from any further analysis of this data. The hydraulic inputs for the FluEgg simulations were generated using a one-dimensional steady Hydrologic Engineering Center-River Analysis System (HEC-RAS) 5.0.7 model for the Illinois River between Marseilles Lock and Dam and the Mississippi River confluence near Grafton, Illinois (HEC-RAS, 2019). The HEC-RAS model was developed by combining four individual HEC-RAS models obtained from the U.S. Army Corps of Engineers Rock Island District (U.S. Army Corps of Engineers Rock Island District, 2003). The model was run for the following ten flow profiles: half the annual mean flow, annual mean flow, annual mean flood, 2-year peak flow, 5-year peak flow, 10-year peak flow, 25-year peak flow, 50-year peak flow, 100-year peak flow, and 500-year peak flow. The flow rates for each of the profiles were obtained for the following U.S. Geological survey (USGS) streamgaging stations from USGS StreamStats: 5543500 Illinois River at Marseilles, Illinois, 5558300 Illinois River at Henry, Illinois, 5560000 Illinois River at Peoria, Illinois, 5568500 Illinois River at Kingston Mines, Illinois, 5570500 Illinois River near Havana, Illinois, 5585500 Illinois River at Meredosia, Illinois, 5586100 Illinois River at Valley City, Illinois (Soong and others, 2004; Granato and others, 2017). Garcia, T., Jackson, P.R., Murphy, E.A., Valocchi, A.J., Garcia, M.H., 2013. Development of a Fluvial Egg Drift Simulator to evaluate the transport and dispersion of Asian carp eggs in rivers. Ecol. Model. 263, 211–222. Granato G.E., Ries, K.G., III, and Steeves, P.A., 2017, Compilation of streamflow statistics calculated from daily mean streamflow data collected during water years 1901–2015 for selected U.S. Geological Survey streamgages: U.S. Geological Survey Open-File Report 2017–1108, 17 p., https://doi.org/10.3133/ofr20171108. Domanski, M.M., Berutti, M.C., 2020, FluEgg, U.S. Geological Survey software release, https://doi.org/10.5066/P93UCQR2. Hydrologic Engineering Center-River Analysis System (HEC-RAS), 2019, accessed August 20, 2020, at http://www.hec.usace.army.mil/software/hec-ras/. Soong, D.T., Ishii, A.L., Sharpe, J.B., and Avery, C.F., 2004, Estimating flood-peak discharge magnitudes and frequencies for rural streams in Illinois: U.S. Geological Survey Scientific Investigations Report 2004–5103, 147 p., https://doi.org/10.3133/sir20045103. U.S. Army Corps of Engineers Rock Island District, 2004, Upper
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Centerline of the Illinois River between Marseilles Lock and Dam and the Mississippi River Confluence
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The Fluvial Egg Drift Simulator (FluEgg) estimates bighead, silver, and grass carp egg and larval drift in rivers using species-specific egg developmental data combined with user-supplied hydraulic inputs (Garcia and others, 2013, Domanski, 2020). This data release contains results from 240 FluEgg 4.1.0 simulations of bighead carp eggs in the Illinois River under steady flow conditions. The data release also contains the hydraulic inputs used in the FluEgg simulations and a KML file of the centerline that represents the model domain. FluEgg simulations were run for all combinations of four spawning locations, six water temperatures, and ten steady flow conditions. Each simulation included 5,000 bighead carp eggs, which develop and eventually hatch into larvae. The simulations end when the larvae reach the gas bladder inflation stage. The four spawning locations were just downstream of the lock and dam structures at Marseilles, Starved Rock, Peoria, and LaGrange. For each of these spawning locations, the eggs were assumed to have been spawned at the water surface and at the midpoint of the channel. The six water temperatures were 18, 20, 22, 24, 26, and 28 degrees Celsius. The ten steady flow conditions ranged from half the annual mean flow to the 500-year peak flow and are discussed in more detail below. Note that in the streamwise coordinate system used by FluEgg, the streamwise coordinate of the Mississippi River confluence is 396,639 meters. Any drift distances greater than this value should be excluded from any further analysis of this data. The hydraulic inputs for the FluEgg simulations were generated using a one-dimensional steady Hydrologic Engineering Center-River Analysis System (HEC-RAS) 5.0.7 model for the Illinois River between Marseilles Lock and Dam and the Mississippi River confluence near Grafton, Illinois (HEC-RAS, 2019). The HEC-RAS model was developed by combining four individual HEC-RAS models obtained from the U.S. Army Corps of Engineers Rock Island District (U.S. Army Corps of Engineers Rock Island District, 2003). The model was run for the following ten flow profiles: half the annual mean flow, annual mean flow, annual mean flood, 2-year peak flow, 5-year peak flow, 10-year peak flow, 25-year peak flow, 50-year peak flow, 100-year peak flow, and 500-year peak flow. The flow rates for each of the profiles were obtained for the following U.S. Geological survey (USGS) streamgaging stations from USGS StreamStats: 5543500 Illinois River at Marseilles, Illinois, 5558300 Illinois River at Henry, Illinois, 5560000 Illinois River at Peoria, Illinois, 5568500 Illinois River at Kingston Mines, Illinois, 5570500 Illinois River near Havana, Illinois, 5585500 Illinois River at Meredosia, Illinois, 5586100 Illinois River at Valley City, Illinois (Soong and others, 2004; Granato and others, 2017). Garcia, T., Jackson, P.R., Murphy, E.A., Valocchi, A.J., Garcia, M.H., 2013. Development of a Fluvial Egg Drift Simulator to evaluate the transport and dispersion of Asian carp eggs in rivers. Ecol. Model. 263, 211–222. Granato G.E., Ries, K.G., III, and Steeves, P.A., 2017, Compilation of streamflow statistics calculated from daily mean streamflow data collected during water years 1901–2015 for selected U.S. Geological Survey streamgages: U.S. Geological Survey Open-File Report 2017–1108, 17 p., https://doi.org/10.3133/ofr20171108. Domanski, M.M., Berutti, M.C., 2020, FluEgg, U.S. Geological Survey software release, https://doi.org/10.5066/P93UCQR2. Hydrologic Engineering Center-River Analysis System (HEC-RAS), 2019, accessed August 20, 2020, at http://www.hec.usace.army.mil/software/hec-ras/. Soong, D.T., Ishii, A.L., Sharpe, J.B., and Avery, C.F., 2004, Estimating flood-peak discharge magnitudes and frequencies for rural streams in Illinois: U.S. Geological Survey Scientific Investigations Report 2004–5103, 147 p., https://doi.org/10.3133/sir20045103. U.S. Army Corps of Engineers Rock Island District, 2004, Upper
Hydraulic Inputs for Fluvial Egg Drift Simulator (FluEgg) Simulations of Bighead Carp Egg and Larval Drift in the Illinois River
공공데이터포털
The Fluvial Egg Drift Simulator (FluEgg) estimates bighead, silver, and grass carp egg and larval drift in rivers using species-specific egg developmental data combined with user-supplied hydraulic inputs (Garcia and others, 2013, Domanski, 2020). Hydraulic inputs for a series of FluEgg simulations were generated using a one-dimensional steady Hydrologic Engineering Center-River Analysis System (HEC-RAS) 5.0.7 model for the Illinois River between Marseilles Lock and Dam and the Mississippi River confluence near Grafton, Illinois (HEC-RAS, 2019). The HEC-RAS model was developed by combining four individual HEC-RAS models obtained from the U.S. Army Corps of Engineers Rock Island District (U.S. Army Corps of Engineers Rock Island District, 2003). The model was run for the following ten flow profiles: half the annual mean flow, annual mean flow, annual mean flood, 2-year peak flow, 5-year peak flow, 10-year peak flow, 25-year peak flow, 50-year peak flow, 100-year peak flow, and 500-year peak flow. The flow rates for each of the profiles were obtained for the following U.S. Geological survey (USGS) streamgaging stations from USGS StreamStats: 5543500 Illinois River at Marseilles, Illinois, 5558300 Illinois River at Henry, Illinois, 5560000 Illinois River at Peoria, Illinois, 5568500 Illinois River at Kingston Mines, Illinois, 5570500 Illinois River near Havana, Illinois, 5585500 Illinois River at Meredosia, Illinois, 5586100 Illinois River at Valley City, Illinois (Soong and others, 2004; Granato and others, 2017). Garcia, T., Jackson, P.R., Murphy, E.A., Valocchi, A.J., Garcia, M.H., 2013. Development of a Fluvial Egg Drift Simulator to evaluate the transport and dispersion of Asian carp eggs in rivers. Ecol. Model. 263, 211–222. Granato G.E., Ries, K.G., III, and Steeves, P.A., 2017, Compilation of streamflow statistics calculated from daily mean streamflow data collected during water years 1901–2015 for selected U.S. Geological Survey streamgages: U.S. Geological Survey Open-File Report 2017–1108, 17 p., https://doi.org/10.3133/ofr20171108. Domanski, M.M., Berutti, M.C., 2020, FluEgg, U.S. Geological Survey software release, https://doi.org/10.5066/P93UCQR2. Hydrologic Engineering Center-River Analysis System (HEC-RAS), 2019, accessed August 20, 2020, at http://www.hec.usace.army.mil/software/hec-ras/. Soong, D.T., Ishii, A.L., Sharpe, J.B., and Avery, C.F., 2004, Estimating flood-peak discharge magnitudes and frequencies for rural streams in Illinois: U.S. Geological Survey Scientific Investigations Report 2004–5103, 147 p., https://doi.org/10.3133/sir20045103. U.S. Army Corps of Engineers Rock Island District, 2004, Upper Mississippi River System Flow Frequency Study, Hydrology and Hydraulics, Appendix C, Illinois River, accessed August 20, 2020, at https://www.mvr.usace.army.mil/Portals/48/docs/FRM/UpperMissFlowFreq/App.%20C%20Rock%20Island%20Dist.%20Illinois%20River%20Hydrology_Hydraulics.pdf.
Hydraulic Inputs for Fluvial Egg Drift Simulator (FluEgg) Simulations of Bighead Carp Egg and Larval Drift in the Illinois River
공공데이터포털
The Fluvial Egg Drift Simulator (FluEgg) estimates bighead, silver, and grass carp egg and larval drift in rivers using species-specific egg developmental data combined with user-supplied hydraulic inputs (Garcia and others, 2013, Domanski, 2020). Hydraulic inputs for a series of FluEgg simulations were generated using a one-dimensional steady Hydrologic Engineering Center-River Analysis System (HEC-RAS) 5.0.7 model for the Illinois River between Marseilles Lock and Dam and the Mississippi River confluence near Grafton, Illinois (HEC-RAS, 2019). The HEC-RAS model was developed by combining four individual HEC-RAS models obtained from the U.S. Army Corps of Engineers Rock Island District (U.S. Army Corps of Engineers Rock Island District, 2003). The model was run for the following ten flow profiles: half the annual mean flow, annual mean flow, annual mean flood, 2-year peak flow, 5-year peak flow, 10-year peak flow, 25-year peak flow, 50-year peak flow, 100-year peak flow, and 500-year peak flow. The flow rates for each of the profiles were obtained for the following U.S. Geological survey (USGS) streamgaging stations from USGS StreamStats: 5543500 Illinois River at Marseilles, Illinois, 5558300 Illinois River at Henry, Illinois, 5560000 Illinois River at Peoria, Illinois, 5568500 Illinois River at Kingston Mines, Illinois, 5570500 Illinois River near Havana, Illinois, 5585500 Illinois River at Meredosia, Illinois, 5586100 Illinois River at Valley City, Illinois (Soong and others, 2004; Granato and others, 2017). Garcia, T., Jackson, P.R., Murphy, E.A., Valocchi, A.J., Garcia, M.H., 2013. Development of a Fluvial Egg Drift Simulator to evaluate the transport and dispersion of Asian carp eggs in rivers. Ecol. Model. 263, 211–222. Granato G.E., Ries, K.G., III, and Steeves, P.A., 2017, Compilation of streamflow statistics calculated from daily mean streamflow data collected during water years 1901–2015 for selected U.S. Geological Survey streamgages: U.S. Geological Survey Open-File Report 2017–1108, 17 p., https://doi.org/10.3133/ofr20171108. Domanski, M.M., Berutti, M.C., 2020, FluEgg, U.S. Geological Survey software release, https://doi.org/10.5066/P93UCQR2. Hydrologic Engineering Center-River Analysis System (HEC-RAS), 2019, accessed August 20, 2020, at http://www.hec.usace.army.mil/software/hec-ras/. Soong, D.T., Ishii, A.L., Sharpe, J.B., and Avery, C.F., 2004, Estimating flood-peak discharge magnitudes and frequencies for rural streams in Illinois: U.S. Geological Survey Scientific Investigations Report 2004–5103, 147 p., https://doi.org/10.3133/sir20045103. U.S. Army Corps of Engineers Rock Island District, 2004, Upper Mississippi River System Flow Frequency Study, Hydrology and Hydraulics, Appendix C, Illinois River, accessed August 20, 2020, at https://www.mvr.usace.army.mil/Portals/48/docs/FRM/UpperMissFlowFreq/App.%20C%20Rock%20Island%20Dist.%20Illinois%20River%20Hydrology_Hydraulics.pdf.
Fluvial Egg Drift Simulator (FluEgg) Results for 240 Simulations of Bighead Carp Egg and Larval Drift in the Illinois River
공공데이터포털
The Fluvial Egg Drift Simulator (FluEgg) estimates bighead, silver, and grass carp egg and larval drift in rivers using species-specific egg developmental data combined with user-supplied hydraulic inputs (Garcia and others, 2013, Domanski, 2020). This data release contains results from 240 FluEgg 4.1.0 simulations of bighead carp eggs in the Illinois River under steady flow conditions. The data release also contains the hydraulic inputs used in the FluEgg simulations and a KML file of the centerline that represents the model domain. FluEgg simulations were run for all combinations of four spawning locations, six water temperatures, and ten steady flow conditions. Each simulation included 5,000 bighead carp eggs, which develop and eventually hatch into larvae. The simulations end when the larvae reach the gas bladder inflation stage. The four spawning locations were just downstream of the lock and dam structures at Marseilles, Starved Rock, Peoria, and LaGrange. For each of these spawning locations, the eggs were assumed to have been spawned at the water surface and at the midpoint of the channel. The six water temperatures were 18, 20, 22, 24, 26, and 28 degrees Celsius. The ten steady flow conditions ranged from half the annual mean flow to the 500-year peak flow and are discussed in more detail below. Note that in the streamwise coordinate system used by FluEgg, the streamwise coordinate of the Mississippi River confluence is 396,639 meters. Any drift distances greater than this value should be excluded from any further analysis of this data. The hydraulic inputs for the FluEgg simulations were generated using a one-dimensional steady Hydrologic Engineering Center-River Analysis System (HEC-RAS) 5.0.7 model for the Illinois River between Marseilles Lock and Dam and the Mississippi River confluence near Grafton, Illinois (HEC-RAS, 2019). The HEC-RAS model was developed by combining four individual HEC-RAS models obtained from the U.S. Army Corps of Engineers Rock Island District (U.S. Army Corps of Engineers Rock Island District, 2003). The model was run for the following ten flow profiles: half the annual mean flow, annual mean flow, annual mean flood, 2-year peak flow, 5-year peak flow, 10-year peak flow, 25-year peak flow, 50-year peak flow, 100-year peak flow, and 500-year peak flow. The flow rates for each of the profiles were obtained for the following U.S. Geological survey (USGS) streamgaging stations from USGS StreamStats: 5543500 Illinois River at Marseilles, Illinois, 5558300 Illinois River at Henry, Illinois, 5560000 Illinois River at Peoria, Illinois, 5568500 Illinois River at Kingston Mines, Illinois, 5570500 Illinois River near Havana, Illinois, 5585500 Illinois River at Meredosia, Illinois, 5586100 Illinois River at Valley City, Illinois (Soong and others, 2004; Granato and others, 2017). Garcia, T., Jackson, P.R., Murphy, E.A., Valocchi, A.J., Garcia, M.H., 2013. Development of a Fluvial Egg Drift Simulator to evaluate the transport and dispersion of Asian carp eggs in rivers. Ecol. Model. 263, 211–222, https://doi.org/10.1016/j.ecolmodel.2013.05.005. Granato G.E., Ries, K.G., III, and Steeves, P.A., 2017, Compilation of streamflow statistics calculated from daily mean streamflow data collected during water years 1901–2015 for selected U.S. Geological Survey streamgages: U.S. Geological Survey Open-File Report 2017–1108, 17 p., https://doi.org/10.3133/ofr20171108. Domanski, M.M., Berutti, M.C., 2020, FluEgg, U.S. Geological Survey software release, https://doi.org/10.5066/P93UCQR2. Hydrologic Engineering Center-River Analysis System (HEC-RAS), 2019, accessed August 20, 2020, at http://www.hec.usace.army.mil/software/hec-ras/. Soong, D.T., Ishii, A.L., Sharpe, J.B., and Avery, C.F., 2004, Estimating flood-peak discharge magnitudes and frequencies for rural streams in Illinois: U.S. Geological Survey Scientific Investigations Report 2004–5103, 147 p., https://doi.org/10.3133/sir20045103. U.S. Army Corps of
Data supporting a new three-dimensional Lagrangian particle tracking model for predicting transport of carp eggs in turbulent rivers
공공데이터포털
Grass carp, bighead carp, and silver carp spawn in flowing water. Their eggs,and then larvae, develop while drifting. Hydraulic conditions control spawning locations, egg survival, and the downstream distance traveled before the hatched larvae can swim for low velocity nursery habitats. Existing egg drift models simulate the fluvial transport of carp eggs but have limitations in capturing the effect of localized turbulence on egg transport due to inadequate dimensions of hydrodynamics and/or empirical parameterization of river dispersion. We present a three-dimensional Lagrangian particle tracking model that uses fully resolved river hydrodynamics and a continuous random walk algorithm driven by local turbulent kinetic energy and its dissipation rate. We incorporate a new set of equations to compute evolving egg characteristics with fully resolved 3-D hydrodynamics. To demonstrate the performance of the model, we conducted a case study in an eight-kilometer reach of Missouri River at the discharge of approximately 25% daily flow exceedance. Three-dimensional river hydrodynamics was modeled, calibrated, and evaluated with measurement data. Egg drift was modeled and compared using fully three-dimensional, depth-averaged two-dimensional, and zone-averaged one-dimensional hydrodynamics. The comparison shows a generally good agreement among models of downstream egg transport due to advection but a different dispersion pattern of eggs in the river, as a result of turbulent diffusion and shear induced dispersion.
Geospatial data and models for the Simulation of Hypothetical Bighead Carp Egg and Larvae Development and Transport in the Ohio River between Markland Locks and Dam and McAlpine Locks and Dam, Kentucky and Indiana, by use of the Fluvial Egg Drift Simulator
공공데이터포털
Data collection, along with hydraulic and fluvial egg transport modeling, were completed along a 70.9-mile reach of the Ohio River between Markland Locks and Dam and McAlpine Locks and Dam. Data were collected during two surveys: October 27–November 4, 2016, and June 26–29, 2017. Water-quality data collected in this reach included surface measurements and vertical profiles of water temperature, specific conductance, pH, dissolved oxygen, turbidity, relative chlorophyll, and relative phycocyanin. Streamflow and velocity data were collected simultaneously with the water-quality data at cross sections and along longitudinal lines (corresponding to the water-quality surface measurements) and at selected stationary locations (corresponding to the water-quality vertical profiles). The data were collected to understand variability of flow and water-quality conditions relative to simulated reaches of the Ohio River and to aid in identifying parts of the reach that may provide conditions favorable to spawning and recruitment habitat for bighead carp (Hypophthalmichthys nobilis). A copy of an existing hydraulic model of the Ohio River was obtained from the National Weather Service and used to simulate hydraulic conditions for four different streamflows. Streamflows used for the simulations were selected to represent a range of conditions from a high-streamflow event to a seasonal dry-weather event. Outputs from the hydraulic model were used as input to the Fluvial Egg Drift Simulator (FluEgg) along with a range of five water temperatures observed in water-quality data and four potential spawning locations to simulate the extents and quantile positions of developing bighead carp, from egg hatching to the gas bladder inflation stage, under each scenario. A total of 80 simulations were run. Results from the FluEgg scenarios (which include only the hydraulic influences on survival that result from settling, irrespective of mortality from other physical factors such as excess turbulence, or biological factors such as fertilization failure, predation or starvation) indicate that the majority of the eggs will hatch, about half will die, and a quarter of the surviving larvae will reach the gas bladder inflation stage within the modeled reach. The overall average percentage of embryos surviving to the gas bladder inflation stage was 13.1 percent. Individual simulations have embryo survival percentages as high as 49.1 percent. The highest embryo survival percentages occurred for eggs spawned at a streamflow of 38,100 cubic feet per second and water temperatures of 24°C to 30°C. Conversely, embryo survival percentages were lowest for the lowest and highest streamflows regardless of water temperature or spawn location. Under low water temperature, high-streamflow conditions, some of the eggs did not hatch nor did the larvae reach the gas bladder inflation stage until passing beyond the downstream model domain. While the final quantile positions of the eggs and larvae beyond the downstream model domain are unknown, the outcomes still provide useful information.
Geospatial data and models for the Simulation of Hypothetical Bighead Carp Egg and Larvae Development and Transport in the Ohio River between Markland Locks and Dam and McAlpine Locks and Dam, Kentucky and Indiana, by use of the Fluvial Egg Drift Simulator
공공데이터포털
Data collection, along with hydraulic and fluvial egg transport modeling, were completed along a 70.9-mile reach of the Ohio River between Markland Locks and Dam and McAlpine Locks and Dam. Data were collected during two surveys: October 27–November 4, 2016, and June 26–29, 2017. Water-quality data collected in this reach included surface measurements and vertical profiles of water temperature, specific conductance, pH, dissolved oxygen, turbidity, relative chlorophyll, and relative phycocyanin. Streamflow and velocity data were collected simultaneously with the water-quality data at cross sections and along longitudinal lines (corresponding to the water-quality surface measurements) and at selected stationary locations (corresponding to the water-quality vertical profiles). The data were collected to understand variability of flow and water-quality conditions relative to simulated reaches of the Ohio River and to aid in identifying parts of the reach that may provide conditions favorable to spawning and recruitment habitat for bighead carp (Hypophthalmichthys nobilis). A copy of an existing hydraulic model of the Ohio River was obtained from the National Weather Service and used to simulate hydraulic conditions for four different streamflows. Streamflows used for the simulations were selected to represent a range of conditions from a high-streamflow event to a seasonal dry-weather event. Outputs from the hydraulic model were used as input to the Fluvial Egg Drift Simulator (FluEgg) along with a range of five water temperatures observed in water-quality data and four potential spawning locations to simulate the extents and quantile positions of developing bighead carp, from egg hatching to the gas bladder inflation stage, under each scenario. A total of 80 simulations were run. Results from the FluEgg scenarios (which include only the hydraulic influences on survival that result from settling, irrespective of mortality from other physical factors such as excess turbulence, or biological factors such as fertilization failure, predation or starvation) indicate that the majority of the eggs will hatch, about half will die, and a quarter of the surviving larvae will reach the gas bladder inflation stage within the modeled reach. The overall average percentage of embryos surviving to the gas bladder inflation stage was 13.1 percent. Individual simulations have embryo survival percentages as high as 49.1 percent. The highest embryo survival percentages occurred for eggs spawned at a streamflow of 38,100 cubic feet per second and water temperatures of 24°C to 30°C. Conversely, embryo survival percentages were lowest for the lowest and highest streamflows regardless of water temperature or spawn location. Under low water temperature, high-streamflow conditions, some of the eggs did not hatch nor did the larvae reach the gas bladder inflation stage until passing beyond the downstream model domain. While the final quantile positions of the eggs and larvae beyond the downstream model domain are unknown, the outcomes still provide useful information.
Grass Carp (Ctenopharyngodon idella) egg capture data from Great Lakes tributaries, 2021-2022 (ver. 1.1, November 2023)
공공데이터포털
The data includes dates, places, and times of sampling events for eggs of invasive Grass Carp (Ctenopharyngodon idella) in tributaries to the Great Lakes in 2021 and 2022. Reference data on locations and dates sampled, gears used, and effort are included. Developmental stages for a subset of undamaged, fertilized eggs are provided. Tables include common fields to allow for integration into a relational database to aid data extraction and associating data among tables. First posted: September 2023 Revised: November 2023 (version 1.1)
Grass Carp (Ctenopharyngodon idella) egg capture data from Great Lakes tributaries, 2021-2022 (ver. 1.1, November 2023)
공공데이터포털
The data includes dates, places, and times of sampling events for eggs of invasive Grass Carp (Ctenopharyngodon idella) in tributaries to the Great Lakes in 2021 and 2022. Reference data on locations and dates sampled, gears used, and effort are included. Developmental stages for a subset of undamaged, fertilized eggs are provided. Tables include common fields to allow for integration into a relational database to aid data extraction and associating data among tables. First posted: September 2023 Revised: November 2023 (version 1.1)
Grass Carp (Ctenopharyngodon idella) egg capture data from Great Lakes tributaries, 2014 & 2023-2024
공공데이터포털
The data includes dates, places, and times of sampling events for eggs of invasive Grass Carp (Ctenopharyngodon idella) in tributaries to the Great Lakes in 2014, 2023 and 2024. Reference data on locations and dates sampled, gears used, and effort are included. Developmental stages for a subset of undamaged, fertilized eggs are provided. Tables include common fields to allow for integration into a relational database to aid data extraction and associating data among tables.