Enrika Hlavacek (Former Employee)
Science and Products
Developing a Pre-Event Planning Tool for Modified Unified Method Fishing Events (Web Application)
The USGS is adapting the Chinese Unified Method, a fishing harvest method that uses herding techniques and a variety of nets to drive fish and concentrate them into a concentrated area for capture, in the fight against invasive Asian carps. This “Modified Unified Method” incorporates adapted techniques and modern technology for efficient, mass removal of bigheaded carp in North American waters...
Database and web application for invasive carp telemetry data (FishTracks)
Four types of invasive carp fish species, are currently found in the United States: black, grass, silver, and bighead carps. These species are fast growing, prolific feeders that out-compete native fish species and drastically alter the natural ecosystems they invade. To prevent the spread of invasive carp into the Great Lakes, the multi-agency Asian Carp Regional Coordinating Committee (ACRCC)...
Database and web application for invasive carp catch data (Illinois River Catch Database)
Four types of invasive carp are currently found in the United States: black, grass, silver, and bighead carps. These species are fast growing, prolific feeders that out-compete native fish species and drastically alter the natural ecosystems they invade. To prevent the spread of invasive carp into the Great Lakes, the multi-agency Asian Carp Regional Coordinating Committee (ACRCC) implements...
Develop Orthophotos and Mosaics from systemic color infrared aerial photography of the Upper Mississippi River System from 1975, 1989, 1994, and 2000
The U.S. Army Corps of Engineers’ Upper Mississippi River Restoration (UMRR) Program Long Term Resource Monitoring (LTRM) element is implemented by the U.S. Geological Survey, Upper Midwest Environmental Sciences Center (UMESC), in cooperation with the five Upper Mississippi River System (UMRS) states of Illinois, Iowa, Minnesota, Missouri, and Wisconsin. Color infrared aerial photography was...
Deep Learning for Automated Detection and Classification of Waterfowl, Seabirds, and other Wildlife from Digital Aerial Imagery
The U.S. Geological Survey Upper Midwest Environmental Sciences Center is developing deep learning algorithms and tools for the automatic detection, enumeration, classification, and annotation of seabirds and other marine wildlife from digital aerial imagery — advancing cutting-edge research in collaboration with the Bureau of Ocean Energy Management (BOEM), the U.S. Fish and Wildlife Service (FWS...
Decision Support Systems
A Decision Support System (DSS) can be defined in many ways. The working definition the Upper Midwest Environmental Sciences Center (UMESC) uses is, "A spatially based computer application or data that assists a researcher or manager in making decisions ." This is quite a broad definition and it needs to be, as the possibilities for types of DSS are limited only by the user group and the developer...
Dataset from the Upper Mississippi River Restoration Program (1993-2019) to reconstruct missing data by comparing interpolation techniques
The dataset accompanies the scientific article, "Reconstructing missing data by comparing interpolation techniques: applications for long-term water quality data." Missingness is typical in large datasets, but intercomparisons of interpolation methods can alleviate data gaps and common problems associated with missing data. We compared seven popular interpolation methods for predicting missing val
Mercury and water level fluctuations in lakes of northern Minnesota - sampling site land cover and inundated area data
These data tables summarize land cover classifications, slope measurements, and inundated area estimates for several lakes in northern Minnesota, as part of a larger project seeking to identify associations between young-of-year Yellow Perch mercury content and water level metrics, temperature, and annual deposition data in a multivariate analysis. One table presents inundated area estimates for a
Filter Total Items: 18
Deep learning workflow to support in-flight processing of digital aerial imagery for wildlife population surveys
Deep learning shows promise for automating detection and classification of wildlife from digital aerial imagery to support cost-efficient remote sensing solutions for wildlife population monitoring. To support in-flight orthorectification and machine learning processing to detect and classify wildlife from imagery in near real-time, we evaluated deep learning methods that address hardware limitati
Authors
Tsung-Wei Ke, Stella X Yu, Mark D. Koneff, David L. Fronczak, Luke J. Fara, Travis Harrison, Kyle Lawrence Landolt, Enrika Hlavacek, Brian R. Lubinski, Timothy White
Identifying conditions where reed canarygrass (Phalaris arundinacea) functions as a driver of forest loss in the Upper Mississippi River floodplain under different hydrological scenarios
Most of the world’s river-floodplain ecosystems are simultaneously undergoing modifications to their hydrological regimes and experiencing species invasions, making it unclear whether invasive species are the main drivers of ecosystem change or simply responding to changes in the hydrological regime.We simulated patterns of forest recruitment and succession in a 2500-ha portion of the Upper Missis
Authors
Nathan R. De Jager, Jason J. Rohweder, Molly Van Appledorn, Enrika Hlavacek, Andy Meier
Reconstructing missing data by comparing interpolation techniques: Applications for long-term water quality data
Missing data are typical yet must be addressed for proper inferences or expanding datasets to guide our limnological understanding and management of aquatic systems. Interpolation methods (i.e., estimating missing values using known values within the dataset) can alleviate data gaps and common problems. We compared seven popular interpolation methods for predicting substantial missingness in a lon
Authors
Danelle M. Larson, Wako Bungula, Amber Lee, Alaina Stockdill, Casey McKean, Frederick Miller, Killian Davis, Richard A. Erickson, Enrika Hlavacek
U.S. Geological Survey invasive carp strategic framework, 2023–27
U.S. Geological Survey (USGS) research has supported management of Hypophthalmichthys nobilis (bighead carp), Mylopharyngodon piceus (black carp), Ctenopharyngodon idella (grass carp), and H. molitrix (silver carp), hereafter referred to collectively as invasive carps, for over a decade. This strategic framework identifies thematic research areas to guide funding decisions for USGS invasive carp r
Authors
Duane Chapman, Jon Amberg, Robin D. Calfee, Enrika Hlavacek, Jon Hortness, P. Ryan Jackson, David C. Kazyak, Brent Knights, James Roberts
Challenges and solutions for automated avian recognition in aerial imagery
Remote aerial sensing provides a non-invasive, large geographical-scale technology for avian monitoring, but the manual processing of images limits its development and applications. Artificial Intelligence (AI) methods can be used to mitigate this manual image processing requirement. The implementation of AI methods, however, has several challenges: (1) imbalanced (i.e., long-tailed) data distribu
Authors
Zhonqgi Miao, Stella X Yu, Kyle Lawrence Landolt, Mark D. Koneff, Timothy White, Luke J. Fara, Enrika Hlavacek, Bradley A. Pickens, Travis J. Harrison, Wayne M. Getz
USGS invasive carp database management and integration support
No abstract available.
Authors
Enrika Hlavacek, Travis J. Harrison
Visualizing proximity of non-native species to protected areas of the United States—A proximity visualization tool for BISON
The Proximity Visualization Tool is a simple lightweight tool that can be placed on web pages that allows users to identify non-native species near Department of Interior lands. The tool works by accessing the more than 400 million species occurrence records in the Biodiversity Information Serving Our Nation (BISON) database using the BISON Application Programming Interface (API).
Authors
Travis J. Harrison, Enrika Hlavacek, Jennifer Dieck
Riparian forest cover modulates phosphorus storage and nitrogen cycling in agricultural stream sediments
Watershed land cover affects in-stream water quality and sediment nutrient dynamics. The presence of natural land cover in the riparian zone can reduce the negative effects of agricultural land use on water quality; however, literature evaluating the effects of natural riparian land cover on stream sediment nutrient dynamics is scarce. The objective of this study was to assess if stream sediment p
Authors
Rebecca Kreiling, Lynn A. Bartsch, Patrik Mathis Perner, Enrika Hlavacek, Victoria Christensen
Mercury and water level management in lakes of northern Minnesota
Water level (WL) fluctuations substantially alter the fauna, flora, and microbial community of nearshore aquatic ecosystems. Water level management therefore has the potential to strongly influence a wide variety of ecosystem processes. Many northern temperate lake food webs experience substantial methylmercury contamination, which is partially mediated by the action of sulfate-reducing bacteria o
Authors
James H. Larson, Ryan P. Maki, Victoria Christensen, Enrika Hlavacek, Mark B. Sandheinrich, Jaime F. LeDuc, Claire Kissane, Brent C. Knights
USGS Illinois River Monitoring and Evaluation
No abstract available.
Authors
Travis J. Harrison, Kevin D. Hop, Enrika Hlavacek, Brent C. Knights
USGS Telemetry Project
Telemetry of acoustically tagged bigheaded carp (i.e., bighead carp Hypophthalmichthys nobilis and silver carp H. molitrix) and surrogate fish species has become an invaluable tool in management for these species in the upper Illinois Waterway Systems (i.e., upper Illinois River, lower Des Plaines River, and Chicago Area Waterway System). For example, movement probabilities between adjacent naviga
Authors
Brent C. Knights, Marybeth K. Brey, Jessica C. Stanton, Travis J. Harrison, Douglas Appel, Enrika Hlavacek, James J. Duncker
Preliminary analysis to estimate the spatial distribution of benefits of P load reduction: Identifying the spatial influence of phosphorus loading from the Maumee River (USA) in western Lake Erie
Since the early 2000s, Lake Erie has been experiencing annual cyanobacterial blooms that often cover large portions of the western basin and even reach into the central basin. These blooms have affected several ecosystem services provided by Lake Erie to surrounding communities (notably drinking water quality). Several modeling efforts have identified the springtime total bioavailable phosphorus (
Authors
James H. Larson, Enrika Hlavacek, Nathan R. De Jager, Mary Anne Evans, Timothy Wynne
Interpolating missing water quality data
This repository contains analysis codes to interpolate missing data from the Upper Mississippi River LTRM dataset.
Science and Products
Developing a Pre-Event Planning Tool for Modified Unified Method Fishing Events (Web Application)
The USGS is adapting the Chinese Unified Method, a fishing harvest method that uses herding techniques and a variety of nets to drive fish and concentrate them into a concentrated area for capture, in the fight against invasive Asian carps. This “Modified Unified Method” incorporates adapted techniques and modern technology for efficient, mass removal of bigheaded carp in North American waters...
Database and web application for invasive carp telemetry data (FishTracks)
Four types of invasive carp fish species, are currently found in the United States: black, grass, silver, and bighead carps. These species are fast growing, prolific feeders that out-compete native fish species and drastically alter the natural ecosystems they invade. To prevent the spread of invasive carp into the Great Lakes, the multi-agency Asian Carp Regional Coordinating Committee (ACRCC)...
Database and web application for invasive carp catch data (Illinois River Catch Database)
Four types of invasive carp are currently found in the United States: black, grass, silver, and bighead carps. These species are fast growing, prolific feeders that out-compete native fish species and drastically alter the natural ecosystems they invade. To prevent the spread of invasive carp into the Great Lakes, the multi-agency Asian Carp Regional Coordinating Committee (ACRCC) implements...
Develop Orthophotos and Mosaics from systemic color infrared aerial photography of the Upper Mississippi River System from 1975, 1989, 1994, and 2000
The U.S. Army Corps of Engineers’ Upper Mississippi River Restoration (UMRR) Program Long Term Resource Monitoring (LTRM) element is implemented by the U.S. Geological Survey, Upper Midwest Environmental Sciences Center (UMESC), in cooperation with the five Upper Mississippi River System (UMRS) states of Illinois, Iowa, Minnesota, Missouri, and Wisconsin. Color infrared aerial photography was...
Deep Learning for Automated Detection and Classification of Waterfowl, Seabirds, and other Wildlife from Digital Aerial Imagery
The U.S. Geological Survey Upper Midwest Environmental Sciences Center is developing deep learning algorithms and tools for the automatic detection, enumeration, classification, and annotation of seabirds and other marine wildlife from digital aerial imagery — advancing cutting-edge research in collaboration with the Bureau of Ocean Energy Management (BOEM), the U.S. Fish and Wildlife Service (FWS...
Decision Support Systems
A Decision Support System (DSS) can be defined in many ways. The working definition the Upper Midwest Environmental Sciences Center (UMESC) uses is, "A spatially based computer application or data that assists a researcher or manager in making decisions ." This is quite a broad definition and it needs to be, as the possibilities for types of DSS are limited only by the user group and the developer...
Dataset from the Upper Mississippi River Restoration Program (1993-2019) to reconstruct missing data by comparing interpolation techniques
The dataset accompanies the scientific article, "Reconstructing missing data by comparing interpolation techniques: applications for long-term water quality data." Missingness is typical in large datasets, but intercomparisons of interpolation methods can alleviate data gaps and common problems associated with missing data. We compared seven popular interpolation methods for predicting missing val
Mercury and water level fluctuations in lakes of northern Minnesota - sampling site land cover and inundated area data
These data tables summarize land cover classifications, slope measurements, and inundated area estimates for several lakes in northern Minnesota, as part of a larger project seeking to identify associations between young-of-year Yellow Perch mercury content and water level metrics, temperature, and annual deposition data in a multivariate analysis. One table presents inundated area estimates for a
Filter Total Items: 18
Deep learning workflow to support in-flight processing of digital aerial imagery for wildlife population surveys
Deep learning shows promise for automating detection and classification of wildlife from digital aerial imagery to support cost-efficient remote sensing solutions for wildlife population monitoring. To support in-flight orthorectification and machine learning processing to detect and classify wildlife from imagery in near real-time, we evaluated deep learning methods that address hardware limitati
Authors
Tsung-Wei Ke, Stella X Yu, Mark D. Koneff, David L. Fronczak, Luke J. Fara, Travis Harrison, Kyle Lawrence Landolt, Enrika Hlavacek, Brian R. Lubinski, Timothy White
Identifying conditions where reed canarygrass (Phalaris arundinacea) functions as a driver of forest loss in the Upper Mississippi River floodplain under different hydrological scenarios
Most of the world’s river-floodplain ecosystems are simultaneously undergoing modifications to their hydrological regimes and experiencing species invasions, making it unclear whether invasive species are the main drivers of ecosystem change or simply responding to changes in the hydrological regime.We simulated patterns of forest recruitment and succession in a 2500-ha portion of the Upper Missis
Authors
Nathan R. De Jager, Jason J. Rohweder, Molly Van Appledorn, Enrika Hlavacek, Andy Meier
Reconstructing missing data by comparing interpolation techniques: Applications for long-term water quality data
Missing data are typical yet must be addressed for proper inferences or expanding datasets to guide our limnological understanding and management of aquatic systems. Interpolation methods (i.e., estimating missing values using known values within the dataset) can alleviate data gaps and common problems. We compared seven popular interpolation methods for predicting substantial missingness in a lon
Authors
Danelle M. Larson, Wako Bungula, Amber Lee, Alaina Stockdill, Casey McKean, Frederick Miller, Killian Davis, Richard A. Erickson, Enrika Hlavacek
U.S. Geological Survey invasive carp strategic framework, 2023–27
U.S. Geological Survey (USGS) research has supported management of Hypophthalmichthys nobilis (bighead carp), Mylopharyngodon piceus (black carp), Ctenopharyngodon idella (grass carp), and H. molitrix (silver carp), hereafter referred to collectively as invasive carps, for over a decade. This strategic framework identifies thematic research areas to guide funding decisions for USGS invasive carp r
Authors
Duane Chapman, Jon Amberg, Robin D. Calfee, Enrika Hlavacek, Jon Hortness, P. Ryan Jackson, David C. Kazyak, Brent Knights, James Roberts
Challenges and solutions for automated avian recognition in aerial imagery
Remote aerial sensing provides a non-invasive, large geographical-scale technology for avian monitoring, but the manual processing of images limits its development and applications. Artificial Intelligence (AI) methods can be used to mitigate this manual image processing requirement. The implementation of AI methods, however, has several challenges: (1) imbalanced (i.e., long-tailed) data distribu
Authors
Zhonqgi Miao, Stella X Yu, Kyle Lawrence Landolt, Mark D. Koneff, Timothy White, Luke J. Fara, Enrika Hlavacek, Bradley A. Pickens, Travis J. Harrison, Wayne M. Getz
USGS invasive carp database management and integration support
No abstract available.
Authors
Enrika Hlavacek, Travis J. Harrison
Visualizing proximity of non-native species to protected areas of the United States—A proximity visualization tool for BISON
The Proximity Visualization Tool is a simple lightweight tool that can be placed on web pages that allows users to identify non-native species near Department of Interior lands. The tool works by accessing the more than 400 million species occurrence records in the Biodiversity Information Serving Our Nation (BISON) database using the BISON Application Programming Interface (API).
Authors
Travis J. Harrison, Enrika Hlavacek, Jennifer Dieck
Riparian forest cover modulates phosphorus storage and nitrogen cycling in agricultural stream sediments
Watershed land cover affects in-stream water quality and sediment nutrient dynamics. The presence of natural land cover in the riparian zone can reduce the negative effects of agricultural land use on water quality; however, literature evaluating the effects of natural riparian land cover on stream sediment nutrient dynamics is scarce. The objective of this study was to assess if stream sediment p
Authors
Rebecca Kreiling, Lynn A. Bartsch, Patrik Mathis Perner, Enrika Hlavacek, Victoria Christensen
Mercury and water level management in lakes of northern Minnesota
Water level (WL) fluctuations substantially alter the fauna, flora, and microbial community of nearshore aquatic ecosystems. Water level management therefore has the potential to strongly influence a wide variety of ecosystem processes. Many northern temperate lake food webs experience substantial methylmercury contamination, which is partially mediated by the action of sulfate-reducing bacteria o
Authors
James H. Larson, Ryan P. Maki, Victoria Christensen, Enrika Hlavacek, Mark B. Sandheinrich, Jaime F. LeDuc, Claire Kissane, Brent C. Knights
USGS Illinois River Monitoring and Evaluation
No abstract available.
Authors
Travis J. Harrison, Kevin D. Hop, Enrika Hlavacek, Brent C. Knights
USGS Telemetry Project
Telemetry of acoustically tagged bigheaded carp (i.e., bighead carp Hypophthalmichthys nobilis and silver carp H. molitrix) and surrogate fish species has become an invaluable tool in management for these species in the upper Illinois Waterway Systems (i.e., upper Illinois River, lower Des Plaines River, and Chicago Area Waterway System). For example, movement probabilities between adjacent naviga
Authors
Brent C. Knights, Marybeth K. Brey, Jessica C. Stanton, Travis J. Harrison, Douglas Appel, Enrika Hlavacek, James J. Duncker
Preliminary analysis to estimate the spatial distribution of benefits of P load reduction: Identifying the spatial influence of phosphorus loading from the Maumee River (USA) in western Lake Erie
Since the early 2000s, Lake Erie has been experiencing annual cyanobacterial blooms that often cover large portions of the western basin and even reach into the central basin. These blooms have affected several ecosystem services provided by Lake Erie to surrounding communities (notably drinking water quality). Several modeling efforts have identified the springtime total bioavailable phosphorus (
Authors
James H. Larson, Enrika Hlavacek, Nathan R. De Jager, Mary Anne Evans, Timothy Wynne
Interpolating missing water quality data
This repository contains analysis codes to interpolate missing data from the Upper Mississippi River LTRM dataset.