Brian E. Haggard Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Director
faculty
Biological and Agricultural Engineering
Research Areas
Links
Biography and Research Information
OverviewAI-generated summary
Brian E. Haggard's research program focuses on the environmental fate and transformation of nutrients, particularly phosphorus, in agricultural watersheds. He investigates how agricultural practices, such as the application of poultry litter and swine slurry, influence nutrient concentrations and forms in surface runoff. His work also examines the occurrence and drivers of harmful algal blooms (HABs) in freshwater systems, including their relationship with nutrient levels and physicochemical properties. Haggard has published extensively on these topics, with recent work exploring the predictive capabilities of machine learning models for monitoring HABs and the potential for using fluorescence measurements to inform lake managers.
Metrics
- h-index: 37
- Publications: 215
- Citations: 3,905
Selected Publications
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Nutrient dynamics in restored and unrestored urban streams in the Piedmont ecoregion of South Carolina (2025)
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Prediction Of Chlorophyll-a As an Index of Harmful Algal Blooms Using Machine Learning Models (2024)
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Letter from the Special Issue Editor (2024)
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Total Microcystin Concentration Variability in Water Samples and Recommended Minimum Volume (20 mL) for Freeze Thaw Cycles (2023)
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Chlorophyll and Phycocyanin Raw Fluorescence May Inform Recreational Lake Managers on Cyanobacterial HABs and Toxins: Lake Fayetteville Case Study (2023)
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Informing Volunteer Water Quality Monitoring Program Design and Watershed Planning: Case Study of StreamSmart Data Analysis in the Upper White River Basin, Arkansas (2023)
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Magnitude of External Phosphorus Loading Likely Reduces Effectiveness of Aluminum Sulfate Treatments for Management of Sediment Phosphorus Flux (2023)
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Measurable microcystin in Ozark streams was rare during summer 2018 baseflow conditions (2022)
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A Cost-Efficient Method to Remotely Monitor Streamflow in Small-Scale Watersheds (2022)
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Water quality concentration trends and loads identify management needs in the Lake Wister watershed (2022)
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Manipulating Microvolumes of Fluids By Redox-Magnetohydrodynamics for Applications in Chemical Analysis (2021)
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Natural Characteristics and Human Activity Influence Turbidity and Ion Concentrations in Streams (2021)
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Nitrogen form, concentration, and micronutrient availability affect microcystin production in cyanobacterial blooms (2021)
Federal Grants 1 $387,283 total
Collaboration Network
Top Collaborators
- Nitrogen form, concentration, and micronutrient availability affect microcystin production in cyanobacterial blooms
- Chlorophyll and Phycocyanin Raw Fluorescence May Inform Recreational Lake Managers on Cyanobacterial HABs and Toxins: Lake Fayetteville Case Study
- Measurable microcystin in Ozark streams was rare during summer 2018 baseflow conditions
- Total Microcystin Concentration Variability in Water Samples and Recommended Minimum Volume (20 mL) for Freeze Thaw Cycles
- Sediment Phosphorus Release at Lake Fayetteville, Summer 2020
- Microcystin Shows Thresholds and Hierarchical Structure With Physicochemical Properties at Lake Fayetteville, Arkansas, May Through September 2020
- Water quality concentration trends and loads identify management needs in the Lake Wister watershed
- Water Quality Monitoring in the Upper Poteau River Watershed
- Sediment Phosphorus Release at Lake Fayetteville, Summer 2020
- Magnitude of External Phosphorus Loading Likely Reduces Effectiveness of Aluminum Sulfate Treatments for Management of Sediment Phosphorus Flux
- A Review of Machine Learning Models for Harmful Algal Bloom Monitoring in Freshwater Systems
- Prediction Of Chlorophyll-a As an Index of Harmful Algal Blooms Using Machine Learning Models
- Supplemental table for "Prediction of Chlorophyll-a as an Index of Harmful Algal Blooms Using Machine Learning Models"
- Supplemental table for "Prediction of Chlorophyll-a as an Index of Harmful Algal Blooms Using Machine Learning Models"
- Nutrient dynamics in restored and unrestored urban streams in the Piedmont ecoregion of South Carolina
- Chlorophyll and Phycocyanin Raw Fluorescence May Inform Recreational Lake Managers on Cyanobacterial HABs and Toxins: Lake Fayetteville Case Study
- Microcystin Shows Thresholds and Hierarchical Structure With Physicochemical Properties at Lake Fayetteville, Arkansas, May Through September 2020
- Informing Volunteer Water Quality Monitoring Program Design and Watershed Planning: Case Study of StreamSmart Data Analysis in the Upper White River Basin, Arkansas
- Changes in Streamflow Statistics and Catchment Land Uses Across Select USGS Gages in Northwest and West‐central Arkansas
- A Review of Machine Learning Models for Harmful Algal Bloom Monitoring in Freshwater Systems
- Prediction Of Chlorophyll-a As an Index of Harmful Algal Blooms Using Machine Learning Models
- Supplemental table for "Prediction of Chlorophyll-a as an Index of Harmful Algal Blooms Using Machine Learning Models"
- Supplemental table for "Prediction of Chlorophyll-a as an Index of Harmful Algal Blooms Using Machine Learning Models"
- A Review of Machine Learning Models for Harmful Algal Bloom Monitoring in Freshwater Systems
- Prediction Of Chlorophyll-a As an Index of Harmful Algal Blooms Using Machine Learning Models
- Supplemental table for "Prediction of Chlorophyll-a as an Index of Harmful Algal Blooms Using Machine Learning Models"
- Supplemental table for "Prediction of Chlorophyll-a as an Index of Harmful Algal Blooms Using Machine Learning Models"
- Nitrogen form, concentration, and micronutrient availability affect microcystin production in cyanobacterial blooms
- Chlorophyll and Phycocyanin Raw Fluorescence May Inform Recreational Lake Managers on Cyanobacterial HABs and Toxins: Lake Fayetteville Case Study
- Microcystin Shows Thresholds and Hierarchical Structure With Physicochemical Properties at Lake Fayetteville, Arkansas, May Through September 2020
- Nitrogen form, concentration, and micronutrient availability affect microcystin production in cyanobacterial blooms
- Chlorophyll and Phycocyanin Raw Fluorescence May Inform Recreational Lake Managers on Cyanobacterial HABs and Toxins: Lake Fayetteville Case Study
- Microcystin Shows Thresholds and Hierarchical Structure With Physicochemical Properties at Lake Fayetteville, Arkansas, May Through September 2020
- A Cost-Efficient Method to Remotely Monitor Streamflow in Small-Scale Watersheds
- Water Quality Trends and Shifts Vary across Constituents in the Upper Poteau River Watershed
- A Cost-Efficient Method to Remotely Monitor Streamflow in Small-Scale Watersheds
- Water Quality Trends and Shifts Vary across Constituents in the Upper Poteau River Watershed
- Microcystin Shows Thresholds and Hierarchical Structure With Physicochemical Properties at Lake Fayetteville, Arkansas, May Through September 2020
- A Cost-Efficient Method to Remotely Monitor Streamflow in Small-Scale Watersheds
- Nitrogen form, concentration, and micronutrient availability affect microcystin production in cyanobacterial blooms
- Nitrogen form, concentration, and micronutrient availability affect microcystin production in cyanobacterial blooms
- Nitrogen form, concentration, and micronutrient availability affect microcystin production in cyanobacterial blooms
- Nitrogen form, concentration, and micronutrient availability affect microcystin production in cyanobacterial blooms
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