Natalie Nelson

Assessing the Utility of Shellfish Sanitation Monitoring Data for Long-Term Estuarine Water Quality Analysis

Chazal, N., Carr, M., Haines, A., Leight, A. K., & Nelson, N. (2024, January 18).

Downstream Nutrient Concentrations Depend on Watershed Inputs More Than Reservoir Releases in a Highly Engineered Watershed

WATER RESOURCES RESEARCH, 60(3).

Fecal bacteria contamination of floodwaters and a coastal waterway from tidally-driven stormwater network inundation

Carr, M. M., Gold, A., Harris, A., Anarde, K., Hino, M., Sauers, N., … Nelson, N. G. (2024, February 2).

Short-term forecasting of fecal coliforms in shellfish growing waters

Chazal, N., Carr, M., Leight, A. K., Saia, S. M., & Nelson, N. G. (2024, March). MARINE POLLUTION BULLETIN, Vol. 200.

Algal blooms in a river-dominated estuary and nearshore region of Florida, USA: the influence of regulated discharges from water control structures on hydrologic and nutrient conditions

Phlips, E. J., Badylak, S., Mathews, A. L., Milbrandt, E. C., Montefiore, L. R., Morrison, E. S., … Stelling, B. (2023, February 1). HYDROBIOLOGIA, Vol. 2.

Machine learning approach for modeling daily pluvial flood dynamics in agricultural landscapes

ENVIRONMENTAL MODELLING & SOFTWARE, 167.

Optimization of the number and locations of the calibration stations needed to monitor soil moisture using distributed temperature sensing systems: A proof-of-concept study

JOURNAL OF HYDROLOGY, 620.

Patterns and drivers of nutrient trends in flood-impacted surface waters: Insights from Bayesian modeling approaches

Fidan, E., Emanuel, R., Reich, B., Harris, A., & Nelson, N. (2023, May 15).

Satellite and in situ cyanobacteria monitoring: Understanding the impact of monitoring frequency on management decisions

Journal of Hydrology.

TESTING THE AGREEMENT BETWEEN A TRADITIONAL AND UAV-BASED METHOD FOR QUANTIFYING SKIPS IN SUBOPTIMAL COTTON STANDS

JOURNAL OF THE ASABE, 66(1), 149–153.

Vulnerability of Estuarine Systems in the Contiguous United States to Water Quality Change Under Future Climate and Land-Use

EARTHS FUTURE, 11(3).

Can a simple water quality model effectively estimate runoff-driven nutrient loads to estuarine systems? A national-scale comparison of STEPLgrid and SPARROW

ENVIRONMENTAL MODELLING & SOFTWARE, 150.

Characterizing soil water content variability across spatial scales from optimized high-resolution distributed temperature sensing technique

JOURNAL OF HYDROLOGY, 612.

Implementing FAIR data management practices in shellfish sanitation

AQUACULTURE REPORTS, 26.

Managing nitrogen legacies to accelerate water quality improvement

NATURE GEOSCIENCE, 15(2), 97–105.

Reconstructing the historical expansion of industrial swine production from Landsat imagery

SCIENTIFIC REPORTS, 12(1).

Ten Simple Rules for Researchers Who Want to Develop Web Apps

Saia, S., Nelson, N., Young, S., Parham, S., & Vandegrift, M. (2022, January 31). (Vol. 1). Vol. 1.

Ten simple rules for researchers who want to develop web apps

PLOS COMPUTATIONAL BIOLOGY, 18(1).

Transitioning Machine Learning from Theory to Practice in Natural Resources Management

Saia, S., Nelson, N., Huseth, A., Grieger, K., & Reich, B. (2022, January 31). (Vol. 1). Vol. 1.

CONSTRUCTED WETLANDS FOR WATER QUALITY IMPROVEMENT: A SYNTHESIS ON NUTRIENT REDUCTION FROM AGRICULTURAL EFFLUENTS

TRANSACTIONS OF THE ASABE, 64(2), 625–639.

Computer vision approach to characterize size and shape phenotypes of horticultural crops using high-throughput imagery

Computers and Electronics in Agriculture, 182, 106011.

Cyclical Patterns and a Regime Shift in the Character of Phytoplankton Blooms in a Restricted Sub-Tropical Lagoon, Indian River Lagoon, Florida, United States

FRONTIERS IN MARINE SCIENCE, 8.

Determination of vadose zone and saturated zone nitrate lag times using long-term groundwater monitoring data and statistical machine learning

HYDROLOGY AND EARTH SYSTEM SCIENCES, 25(2), 811–829.

Estimating the Influence of Oyster Reef Chains on Freshwater Detention at the Estuary Scale Using Landsat-8 Imagery

Alonso, A., Nelson, N. G., Yurek, S., Kaplan, D., Olabarrieta, M., & Frederick, P. (2021, May 26). ESTUARIES AND COASTS, Vol. 5.

Geospatial distribution of hypoxia associated with a Karenia brevis bloom

ESTUARINE COASTAL AND SHELF SCIENCE, 259.

Hazardous Spills at Retired Fertilizer Manufacturing Plants Will Continue to Occur in the Absence of Scientific Innovation and Regulatory Enforcement

Nelson, N. G., Cuchiara, M. L., Hendren, C. O., Jones, J. L., & Marshall, A.-M. (2021, December 21). ENVIRONMENTAL SCIENCE & TECHNOLOGY, Vol. 55, pp. 16267–16269.

Microbial Contamination in Environmental Waters of Rural and Agriculturally-Dominated Landscapes Following Hurricane Florence

ACS ES&T WATER, 1(9), 2012–2019.

Can the Stream Quantification Tool (SQT) Protocol Predict the Biotic Condition of Streams in the Southeast Piedmont (USA)?

Water, 12(5).

Determination of vadose and saturated-zone nitrate lag times using long-term groundwater monitoring data and statistical machine learning

Wells, M. J., Gilmore, T. E., Nelson, N., Mittelstet, A., & Böhlke, J. K. (2020, May 5). (Vol. 5). Vol. 5.

Flood Flow Frequency Analysis to Estimate Potential Floodplain Nitrogen Treatment during Overbank Flow Events in Urban Stream Restoration Projects

Water, 12(6), 1568.

Hurricanes, El Niño and harmful algal blooms in two sub-tropical Florida estuaries: Direct and indirect impacts

Scientific Reports, 10(1).

Parameter uncertainty drives important incongruities between simulated chlorophyll-a and phytoplankton functional group dynamics in a mechanistic management model

ENVIRONMENTAL MODELLING & SOFTWARE, 129.

Search for Campylobacter reveals high prevalence and pronounced genetic diversity of Arcobacter butzleri in floodwater samples associated with Hurricane Florence, North Carolina, USA

Applied and Environmental Microbiology, 86(20), 1–14.

Supplementary material to "Determination of vadose and saturated-zone nitrate lag times using long-term groundwater monitoring data and statistical machine learning"

Wells, M. J., Gilmore, T. E., Nelson, N., Mittelstet, A., & Böhlke, J. K. (2020, May 5). (Vol. 5). Vol. 5.

Transitioning Machine Learning from Theory to Practice in Natural Resources Management

Ecological Modelling, 435, 109257.

Featured Collection Introduction: The Emerging Science of Aquatic System Connectivity I

JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION, 55(2), 287–293.

Featured Collection Introduction: The Emerging Science of Aquatic System Connectivity II

Smith, L. L., Jones, C. N., & Nelson, N. G. (2019, June). JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION, Vol. 55, pp. 526–528.

Undergraduate Perceptions of Climate Education Exposure in Natural Resources Management

Transactions of the ASABE, 62(3), 831–839.

Wetland Ecosystem Resilience: Protecting and Restoring Valuable Ecosystems

Transactions of the ASABE, 62(6), 1541–1543.

Post hoc support vector machine learning for impedimetric biosensors based on weak protein-ligand interactions

ANALYST, 143(9), 2066–2075.

Revealing Biotic and Abiotic Controls of Harmful Algal Blooms in a Shallow Subtropical Lake through Statistical Machine Learning

ENVIRONMENTAL SCIENCE & TECHNOLOGY, 52(6), 3527–3535.

A novel quantile method reveals spatiotemporal shifts in phytoplankton biomass descriptors between bloom and non-bloom conditions in a subtropical estuary

Marine Ecology Progress Series, 567, 57–78.

Temporal variability in the importance of hydrologic, biotic, and climatic descriptors of dissolved oxygen dynamics in a shallow tidal-marsh creek

Water Resources Research, 53(8), 7103–7120.

Apoptotic susceptibility to DNA damage of pluripotent stem cells facilitates pharmacologic purging of teratoma risk

Stem Cells Translational Medicine, 1(10), 709–718.