Natalie Nelson

High‐Resolution Soil Total Phosphorus Mapping for the Conterminous USA Using Machine Learning

Onwuka, I. S., Obenour, D. R., Nelson, N. G., & Duckworth, O. W. (2026, January 1). Journal of Geophysical Research Biogeosciences, Vol. 1.

Community-Based Approaches Highlight Opportunities and Limitations in Addressing Socioeconomic Barriers to Water Quality Monitoring in the United States

Oates, C. C., Rudko, N., McLamore, E. S., Rickabaugh, J., Grieger, K., Muenich, R. L., & Nelson, N. G. (2025, December 8).

Data from: High-resolution soil total phosphorus mapping for the conterminous USA using machine learning

Onwuka, I., Obenour, D., Nelson, N., & Duckworth, O. (2025, December 22). DRYAD, Vol. 12.

Day-ahead statistical forecasting of algal bloom risk to support reservoir release decisions in a highly engineered watershed

Menchú-Maldonado, M., Kaplan, D., Arias, M. E., Milbrandt, E., Morrison, E., Phlips, E., & Nelson, N. G. (2025, February 6). Journal of Environmental Management, Vol. 3.

Forecasting interannual abundance of Helicoverpa zea (Lepidoptera: Noctuidae)

Wallace, S. T., Nelson, N. G., Reisig, D. D., & Huseth, A. S. (2025, February 1). (W. Wetzel, Ed.). Environmental Entomology, Vol. 2.

Gaps in U.S. livestock data are a barrier to effective environmental and disease management

Muenich, R. L., Aryal, S., Ashworth, A. J., Bell, M. L., Boudreau, M. R., Cunningham, S. A., … Thompson, J. (2025, January 30). Environmental Research Letters, Vol. 20.

In-season yield forecasting using multitemporal remote sensing environmental observations and machine learning: Applications for sweetpotato in North Carolina, USA

Carbajal, M., Jones, D., Williams, C., & Nelson, N. G. (2025, September 10). European Journal of Agronomy, Vol. 172.

Quantifying Summer Internal Phosphorus Loading in Large Lakes across the United States

Borah, S. S., Nelson, N. G., Duckworth, O. W., & Obenour, D. R. (2025, May 20). Environmental Science & Technology, Vol. 5.

See Salt: Recommendations for engaging oyster growers in community-based coastal monitoring programs

Environmental Monitoring and Assessment, 197(10).

Simulating fluvial sediment pulses using remote sensing and machine learning: Development of a modeling framework applicable to data rich and scarce regions

Sharma, A., Castro-Bolinaga, C., Nelson, N., & Mittelstet, A. (2025, February 21). International Journal of Sediment Research, Vol. 40, pp. 523–536.

Spatiotemporal Dynamics and Drivers of Microbial Contaminants in Hurricane Florence Floodwaters

Fidan, E. N., Reich, B. J., Emanuel, R. E., Harris, A., Kathariou, S., & Nelson, N. G. (2025, April 26). ACS ES&T Water, Vol. 5, pp. 2255–2267.

Surface waters in socially vulnerable areas are disproportionately under-monitored for nutrients in the US South Atlantic-Gulf region

Oates, C. C., Grieger, K., Emanuel, R., & Nelson, N. G. (2025, July 15). Nature Water, Vol. 7.

Synthesis of Observed Field Salinity Ranges for Oyster and Seagrass Species in the U.S.

Lee, C. I., Yurek, S., Eggleston, D. B., & Nelson, N. G. (2025, October 6). Estuaries and Coasts, Vol. 49.

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).

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. G. (2024, May 8). Marine Pollution Bulletin, Vol. 203.

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

Montefiore, L. R., Kaplan, D., Phlips, E. J., Milbrandt, E. C., Arias, M. E., Morrison, E., & Nelson, N. G. (2024, March 1). Water Resources Research, Vol. 60.

Effective Nutrient Management of Surface Waters in the United States Requires Expanded Water Quality Monitoring in Agriculturally Intensive Areas

Oates, C., Fajardo, H., Grieger, K., Obenour, D., Muenich, R. L., & Nelson, N. G. (2024, November 28). ACS Environmental Au, Vol. 11.

Fecal Bacteria Contamination of Floodwaters and a Coastal Waterway From Tidally‐Driven Stormwater Network Inundation

Carr, M. M., Gold, A. C., Harris, A., Anarde, K., Hino, M., Sauers, N., … Nelson, N. G. (2024, April 1). GeoHealth, Vol. 8.

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

Carr, M. M., Gold, A. C., Harris, A., Anarde, K., Hino, M., Sauers, N., … Nelson, N. G. (2024, June 13).

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).

In-season Sweetpotato Yield Forecasting using Multitemporal Remote Sensing Environmental Observations and Machine Learning

Carbajal-Carrasco, M., Jones, D., Williams, C., & Nelson, N. (2024, April 26).

Relationships between soil test phosphorus and county‐level agricultural surplus phosphorus

Journal of Environmental Quality, 53(6), 1127–1139.

Short-term forecasting of fecal coliforms in shellfish growing waters

Chazal, N., Carr, M., Leight, A. K., Saia, S. M., & Nelson, N. G. (2024, January 25). Marine Pollution Bulletin, Vol. 200.

Socioeconomic Bias in Water Quality Monitoring in the U.S. South Atlantic-Gulf Region

Oates, C. C., Grieger, K., Emanuel, R., & Nelson, N. G. (2024, July 25).

Standard metrics for characterizing episodic salinization in freshwater systems

Limnology and Oceanography: Methods, 22(9), 647–659.

Surface waters in socially vulnerable areas are disproportionately under-monitored for nutrients in the U.S. South Atlantic-Gulf Region

Oates, C. C., Grieger, K., Emanuel, R., & Nelson, N. G. (2024, September 2).

Triple Bottom Line Scenario Sites as Boundary Objects for Integrating Diverse Disciplines in Convergent Research

Deviney, A. V., Bhadha, J. H., Crane, L., Cuchiara, M., Delanthamajalu, S., Gatiboni, L., … Jones, J. L. (2024, November 28). Sustainability, Vol. 16.

Tryptophan-Like Fluorescence for Monitoring Fecal Contamination in a Marsh-Dominated Estuary

Harrison, J., Osburn, C., Harris, A., & Nelson, N. (2024, November 8). ACS ES&T Water, Vol. 11.

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

Fidan, E., Gray, J., Doll, B., & Nelson, N. G. (2023, June 29). Environmental Modelling & Software, Vol. 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

Shehata, M., Gentine, P., Nelson, N., & Sayde, C. (2023, March 29). Journal of Hydrology, Vol. 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, February 25).

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

Reynolds, N., Schaeffer, B. A., Guertault, L., & Nelson, N. G. (2023, February 14). Journal of Hydrology.

Testing the Agreement Between a Traditional and UAV-Based Method for Quantifying Skips in Suboptimal Cotton Stands

Martinez, E. E. P., Ward, J. K., Collins, G., & Nelson, N. (2023, January 1). Journal of the ASABE, Vol. 66, pp. 149–153.

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

Montefiore, L. R., Nelson, N. G., Staudinger, M. D., & Terando, A. (2023, February 23). Earth s Future, Vol. 11.

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

Montefiore, L. R., & Nelson, N. G. (2022, February 11). Environmental Modelling & Software, Vol. 150, p. 105344.

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

Shehata, M., Gentine, P., Nelson, N., & Sayde, C. (2022, July 15). Journal of Hydrology, Vol. 612.

Implementing FAIR data management practices in shellfish sanitation

Nelson, N. G., Cothran, J., Ramage, D., Carr, M., Skiles, K., & Porter, D. E. (2022, September 9). Aquaculture Reports, Vol. 10.

Managing nitrogen legacies to accelerate water quality improvement

Basu, N. B., Meter, K. J. V., Byrnes, D. K., Cappellen, P. V., Brouwer, R., Jacobsen, B. H., … Olsen, S. B. (2022, February 1). Nature Geoscience, Vol. 2.

Reconstructing the historical expansion of industrial swine production from Landsat imagery

Montefiore, L. R., Nelson, N. G., Dean, A., & Sharara, M. (2022, February 2). Scientific Reports, Vol. 2.

Ten simple rules for researchers who want to develop web apps

Saia, S. M., Nelson, N. G., Young, S. N., Parham, S., & Vandegrift, M. (2022, January 6). (S. Markel, Ed.). PLoS Computational Biology, Vol. 18.

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

Computers and Electronics in Agriculture, 182, 106011.

Constructed Wetlands for Water Quality Improvement: A Synthesis on Nutrient Reduction from Agricultural Effluents

Messer, T. L., Trisha L, M., Nelson, N., Ahiablame, L., Bean, E. Z., Boles, C., … Schlea, D. (2021, January 1). Transactions of the ASABE, Vol. 64, pp. 625–639.

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

Phlips, E. J., Badylak, S., Nelson, N. G., Hall, L. M., Jacoby, C. A., Lasi, M. A., … Miller, J. D. (2021, September 28). Frontiers in Marine Science, Vol. 9.

Determination of vadose zone 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. (2021, February 19). Hydrology and Earth System Sciences, Vol. 25, pp. 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

Milbrandt, E. C., Martignette, A. J., Thompson, M. A., Bartleson, R. D., Phlips, E. J., Badylak, S., & Nelson, N. G. (2021, June 4). Estuarine Coastal and Shelf Science, Vol. 6, p. 107446.

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

Environmental Science & Technology, 55(24), 16267–16269.

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

Harris, A. R., Fidan, E. N., Nelson, N. G., Emanuel, R. E., Jass, T., Kathariou, S., … Stewart, J. R. (2021, August 23). ACS ES&T Water, Vol. 8, pp. 2012–2019.

Ten Simple Rules for Researchers Who Want to Develop Web Apps

Saia, S., Nelson, N., Young, S., Parham, S., & Vandegrift, M. (2021, July 18). (Vol. 1). Vol. 1.

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

Donatich, S., Doll, B., Page, J., & Nelson, N. (2020, May 22). Water, Vol. 12.

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).

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

Doll, B. A., Kurki-Fox, J. J., Page, J. L., Nelson, N. G., & Johnson, J. P. (2020, May 30). Water, Vol. 12, p. 1568.

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

Phlips, E. J., Badylak, S., Nelson, N. G., & Havens, K. E. (2020, February 5). Scientific Reports, Vol. 10.

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

Nelson, N. G., Muñoz-Carpena, R., & Phlips, E. (2020, April 10). Environmental Modelling & Software, Vol. 129.

Search for Campylobacter spp. Reveals High Prevalence and Pronounced Genetic Diversity of Arcobacter butzleri in Floodwater Samples Associated with Hurricane Florence in North Carolina, USA

Niedermeyer, J. A., Miller, W. G., Yee, E., Harris, A., Emanuel, R. E., Jass, T., … Kathariou, S. (2020, August 6). (C. A. Elkins, Ed.). Applied and Environmental Microbiology, Vol. 86, pp. 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).

Transitioning Machine Learning from Theory to Practice in Natural Resources Management

Ecological Modelling, 435, 109257.

Transitioning Machine Learning from Theory to Practice in Natural Resources Management

Saia, S., Nelson, N., Huseth, A., Grieger, K., & Reich, B. (2020, October 22). (Vol. 1). Vol. 1.

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

Jones, C. N., Nelson, N. G., & Smith, L. L. (2019, March 21). JAWRA Journal of the American Water Resources Association, Vol. 55, pp. 287–293.

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

Smith, L. L., Jones, C. N., & Nelson, N. G. (2019, May 24). JAWRA 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

Messer, T., Douglas-Mankin, K., Nelson, N., & Etheridge, J. R. (2019, January 1). Transactions of the ASABE, Vol. 62, pp. 1541–1543.

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

Rong, Y., Padron, A. V., Hagerty, K. J., Nelson, N., Chi, S., Keyhani, N. O., … McLamore, E. S. (2018, January 1). The Analyst, Vol. 143, pp. 2066–2075.

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

Nelson, N. G., Muñoz-Carpena, R., Phlips, E. J., Kaplan, D., Sucsy, P., & Hendrickson, J. (2018, February 24). Environmental Science & Technology, Vol. 52, pp. 3527–3535.

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

Nelson, N. G., Muñoz-Carpena, R., & Phlips, E. J. (2017, January 17). Marine Ecology Progress Series, Vol. 567, pp. 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

Smith, A. J., Nelson, N. G., Oommen, S., Hartjes, K. A., Folmes, C. D., Terzic, A., & Nelson, T. J. (2012, September 27). Stem Cells Translational Medicine, Vol. 1, pp. 709–718.