Erin M. Grantz
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Researcher
Also affiliated: University of Arkansas System (2018–2024); Spark Therapeutics (United States) (2020)
Faculty Researcher
Arkansas Water Resources Center
Research Areas
Biomedical Subjects
Links
Biography and Research Information
OverviewAI-generated summary
Erin M. Grantz's research focuses on water quality and environmental monitoring, with recent work investigating factors influencing herbicide persistence in soil and the relationship between chlorophyll fluorescence and cyanobacterial harmful algal blooms (HABs) in recreational lakes. Grantz has published studies on microcystin thresholds in relation to physicochemical properties in Lake Fayetteville, Arkansas, and has examined changes in streamflow statistics and catchment land uses across various USGS gages in Arkansas. Additionally, Grantz's work includes informing volunteer water quality monitoring program design through data analysis in the Upper White River Basin. Grantz has a h-index of 9 with 20 total publications and 335 citations. Key collaborators include Brian E. Haggard, Matthew B. Bertucci, Nilda R. Burgos, and Mary C. Savin, all from the University of Arkansas at Fayetteville.
Metrics
- h-index: 9
- Publications: 20
- Citations: 345
Selected Publications
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Biphasic models improved <i>S</i> ‐metolachlor dissipation endpoint predictions (2024)
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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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Microcystin Shows Thresholds and Hierarchical Structure With Physicochemical Properties at Lake Fayetteville, Arkansas, May Through September 2020 (2023)
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Soybean response to dicamba exposure in furrow irrigation (2020)
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Residual herbicide concentrations in on‐farm water storage–tailwater recovery systems: Preliminary assessment (2020)
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Soil sorption characteristics of benzobicyclon hydrolysate and estimated leaching risk in soils used for rice production (2020)
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Soybean response to dicamba in irrigation water under controlled environmental conditions (2019)
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Substituting values for censored data from Texas, USA, reservoirs inflated and obscured trends in analyses commonly used for water quality target development (2018)
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Stoichiometric imbalance in rates of nitrogen and phosphorus retention, storage, and recycling can perpetuate nitrogen deficiency in highly‐productive reservoirs (2014)
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Comment: An alternative interpretation of the relationship between TN:TP and microcystins in Canadian lakes (2013)
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N<sub>2</sub> fixation exceeds internal nitrogen loading as a phytoplankton nutrient source in perpetually nitrogen-limited reservoirs (2013)
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Partitioning whole‐lake denitrification using in situ dinitrogen gas accumulation and intact sediment core experiments (2012)
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The effect of periphyton stoichiometry and light on biological phosphorus immobilization and release in streams (2011)
Collaboration Network
Top Collaborators
- Chlorophyll and Phycocyanin Raw Fluorescence May Inform Recreational Lake Managers on Cyanobacterial HABs and Toxins: Lake Fayetteville Case Study
- Informing Volunteer Water Quality Monitoring Program Design and Watershed Planning: Case Study of StreamSmart Data Analysis in the Upper White River Basin, Arkansas
- Informing Volunteer Water Quality Monitoring Program Design and Watershed Planning: Case Study of StreamSmart Data Analysis in the Upper White River Basin, Arkansas
- Chlorophyll and Phycocyanin Raw Fluorescence May Inform Recreational Lake Managers on Cyanobacterial HABs and Toxins: Lake Fayetteville Case Study
- Chlorophyll and Phycocyanin Raw Fluorescence May Inform Recreational Lake Managers on Cyanobacterial HABs and Toxins: Lake Fayetteville Case Study
- Chlorophyll and Phycocyanin Raw Fluorescence May Inform Recreational Lake Managers on Cyanobacterial HABs and Toxins: Lake Fayetteville Case Study
- Biphasic models improved <i>S</i>‐metolachlor dissipation endpoint predictions
- Biphasic models improved <i>S</i>‐metolachlor dissipation endpoint predictions
- Biphasic models improved <i>S</i>‐metolachlor dissipation endpoint predictions
- Biphasic models improved <i>S</i>‐metolachlor dissipation endpoint predictions
- Biphasic models improved <i>S</i>‐metolachlor dissipation endpoint predictions
- Biphasic models improved <i>S</i>‐metolachlor dissipation endpoint predictions
- Biphasic models improved <i>S</i>‐metolachlor dissipation endpoint predictions
- Biphasic models improved <i>S</i>‐metolachlor dissipation endpoint predictions
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