Natalie Nelson

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. https://doi.org/10.22541/essoar.170561621.10518854/v1

Montefiore, L. R., Kaplan, D., Phlips, E. J., Milbrandt, E. C., Arias, M. E., Morrison, E., & Nelson, N. G. (2024). Downstream Nutrient Concentrations Depend on Watershed Inputs More Than Reservoir Releases in a Highly Engineered Watershed. WATER RESOURCES RESEARCH, 60(3). https://doi.org/10.1029/2023WR035590

Carr, M. M., Gold, A., Harris, A., Anarde, K., Hino, M., Sauers, N., … Nelson, N. G. (2024, February 2). Fecal bacteria contamination of floodwaters and a coastal waterway from tidally-driven stormwater network inundation. https://doi.org/10.22541/essoar.170688995.57378457/v1

Chazal, N., Carr, M., Leight, A. K., Saia, S. M., & Nelson, N. G. (2024, March). Short-term forecasting of fecal coliforms in shellfish growing waters. MARINE POLLUTION BULLETIN, Vol. 200. https://doi.org/10.1016/j.marpolbul.2024.116053

Phlips, E. J., Badylak, S., Mathews, A. L., Milbrandt, E. C., Montefiore, L. R., Morrison, E. S., … Stelling, B. (2023, February 1). 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. HYDROBIOLOGIA, Vol. 2. https://doi.org/10.1007/s10750-022-05135-w

Fidan, E., Gray, J., Doll, B., & Nelson, N. G. (2023). Machine learning approach for modeling daily pluvial flood dynamics in agricultural landscapes. ENVIRONMENTAL MODELLING & SOFTWARE, 167. https://doi.org/10.1016/j.envsoft.2023.105758

Shehata, M., Gentine, P., Nelson, N., & Sayde, C. (2023). 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. https://doi.org/10.1016/j.jhydrol.2023.129449

Fidan, E., Emanuel, R., Reich, B., Harris, A., & Nelson, N. (2023, May 15). Patterns and drivers of nutrient trends in flood-impacted surface waters: Insights from Bayesian modeling approaches. https://doi.org/10.5194/egusphere-egu23-6890

Reynolds, N., Schaeffer, B. A., Guertault, L., & Nelson, N. G. (2023). Satellite and in situ cyanobacteria monitoring: Understanding the impact of monitoring frequency on management decisions. Journal of Hydrology. https://doi.org/10.1016/j.jhydrol.2023.129278

Martinez, E. E. P., Ward, J. K., Collins, G., & Nelson, N. (2023). 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. https://doi.org/10.13031/ja.14760

Montefiore, L. R., Nelson, N. G., Staudinger, M. D., & Terando, A. (2023). Vulnerability of Estuarine Systems in the Contiguous United States to Water Quality Change Under Future Climate and Land-Use. EARTHS FUTURE, 11(3). https://doi.org/10.1029/2022EF002884

Montefiore, L. R., & Nelson, N. G. (2022). 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. https://doi.org/10.1016/j.envsoft.2022.105344

Shehata, M., Gentine, P., Nelson, N., & Sayde, C. (2022). Characterizing soil water content variability across spatial scales from optimized high-resolution distributed temperature sensing technique. JOURNAL OF HYDROLOGY, 612. https://doi.org/10.1016/j.jhydrol.2022.128195

Nelson, N. G., Cothran, J., Ramage, D., Carr, M., Skiles, K., & Porter, D. E. (2022). Implementing FAIR data management practices in shellfish sanitation. AQUACULTURE REPORTS, 26. https://doi.org/10.1016/j.aqrep.2022.101324

Basu, N. B., Van Meter, K. J., Byrnes, D. K., Van Cappellen, P., Brouwer, R., Jacobsen, B. H., … Olsen, S. B. (2022). Managing nitrogen legacies to accelerate water quality improvement. NATURE GEOSCIENCE, 15(2), 97–105. https://doi.org/10.1038/s41561-021-00889-9

Montefiore, L. R., Nelson, N. G., Dean, A., & Sharara, M. (2022). Reconstructing the historical expansion of industrial swine production from Landsat imagery. SCIENTIFIC REPORTS, 12(1). https://doi.org/10.1038/s41598-022-05789-5

Saia, S., Nelson, N., Young, S., Parham, S., & Vandegrift, M. (2022, January 31). Ten Simple Rules for Researchers Who Want to Develop Web Apps (Vol. 1). Vol. 1. https://doi.org/10.31223/X57P6R

Saia, S. M., Nelson, N. G., Young, S. N., Parham, S., & Vandegrift, M. (2022). Ten simple rules for researchers who want to develop web apps. PLOS COMPUTATIONAL BIOLOGY, 18(1). https://doi.org/10.1371/journal.pcbi.1009663

Saia, S., Nelson, N., Huseth, A., Grieger, K., & Reich, B. (2022, January 31). Transitioning Machine Learning from Theory to Practice in Natural Resources Management (Vol. 1). Vol. 1. https://doi.org/10.31223/X5D01H

Messer, T. L., Moore, T. L., Nelson, N., Ahiablame, L., Bean, E. Z., Boles, C., … Schlea, D. (2021). CONSTRUCTED WETLANDS FOR WATER QUALITY IMPROVEMENT: A SYNTHESIS ON NUTRIENT REDUCTION FROM AGRICULTURAL EFFLUENTS. TRANSACTIONS OF THE ASABE, 64(2), 625–639. https://doi.org/10.13031/trans.13976

Haque, S., Lobaton, E., Nelson, N., Yencho, G. C., Pecota, K. V., Mierop, R., … Williams, C. M. (2021). Computer vision approach to characterize size and shape phenotypes of horticultural crops using high-throughput imagery. Computers and Electronics in Agriculture, 182, 106011. https://doi.org/10.1016/j.compag.2021.106011

Phlips, E. J., Badylak, S., Nelson, N. G., Hall, L. M., Jacoby, C. A., Lasi, M. A., … Miller, J. D. (2021). 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. https://doi.org/10.3389/fmars.2021.730934

Wells, M. J., Gilmore, T. E., Nelson, N., Mittelstet, A., & Bohlke, J. K. (2021). 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. https://doi.org/10.5194/hess-25-811-2021

Alonso, A., Nelson, N. G., Yurek, S., Kaplan, D., Olabarrieta, M., & Frederick, P. (2021, May 26). Estimating the Influence of Oyster Reef Chains on Freshwater Detention at the Estuary Scale Using Landsat-8 Imagery. ESTUARIES AND COASTS, Vol. 5. https://doi.org/10.1007/s12237-021-00959-6

Milbrandt, E. C., Martignette, A. J., Thompson, M. A., Bartleson, R. D., Phlips, E. J., Badylak, S., & Nelson, N. G. (2021). Geospatial distribution of hypoxia associated with a Karenia brevis bloom. ESTUARINE COASTAL AND SHELF SCIENCE, 259. https://doi.org/10.1016/j.ecss.2021.107446

Nelson, N. G., Cuchiara, M. L., Hendren, C. O., Jones, J. L., & Marshall, A.-M. (2021, December 21). Hazardous Spills at Retired Fertilizer Manufacturing Plants Will Continue to Occur in the Absence of Scientific Innovation and Regulatory Enforcement. ENVIRONMENTAL SCIENCE & TECHNOLOGY, Vol. 55, pp. 16267–16269. https://doi.org/10.1021/acs.est.1c05311

Harris, A. R., Fidan, E. N., Nelson, N. G., Emanuel, R. E., Jass, T., Kathariou, S., … Stewart, J. R. (2021). Microbial Contamination in Environmental Waters of Rural and Agriculturally-Dominated Landscapes Following Hurricane Florence. ACS ES&T WATER, 1(9), 2012–2019. https://doi.org/10.1021/acsestwater.1c00103

Donatich, S., Doll, B., Page, J., & Nelson, N. (2020). Can the Stream Quantification Tool (SQT) Protocol Predict the Biotic Condition of Streams in the Southeast Piedmont (USA)? Water, 12(5). https://doi.org/10.3390/w12051485

Wells, M. J., Gilmore, T. E., Nelson, N., Mittelstet, A., & Böhlke, J. K. (2020, May 5). Determination of vadose and saturated-zone nitrate lag times using long-term groundwater monitoring data and statistical machine learning (Vol. 5). Vol. 5. https://doi.org/10.5194/hess-2020-169

Doll, B. A., Kurki-Fox, J. J., Page, J. L., Nelson, N. G., & Johnson, J. P. (2020). Flood Flow Frequency Analysis to Estimate Potential Floodplain Nitrogen Treatment during Overbank Flow Events in Urban Stream Restoration Projects. Water, 12(6), 1568. https://doi.org/10.3390/w12061568

Phlips, E. J., Badylak, S., Nelson, N. G., & Havens, K. E. (2020). Hurricanes, El Niño and harmful algal blooms in two sub-tropical Florida estuaries: Direct and indirect impacts. Scientific Reports, 10(1). https://doi.org/10.1038/s41598-020-58771-4

Nelson, N. G., Munoz-Carpena, R., & Phlips, E. (2020). Parameter uncertainty drives important incongruities between simulated chlorophyll-a and phytoplankton functional group dynamics in a mechanistic management model. ENVIRONMENTAL MODELLING & SOFTWARE, 129. https://doi.org/10.1016/j.envsoft.2020.104708

Niedermeyer, J. A., Miller, W. G., Yee, E., Harris, A., Emanuel, R. E., Jass, T., … Kathariou, S. (2020). 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. https://doi.org/10.1128/aem.01118-20

Wells, M. J., Gilmore, T. E., Nelson, N., Mittelstet, A., & Böhlke, J. K. (2020, May 5). Supplementary material to "Determination of vadose and saturated-zone nitrate lag times using long-term groundwater monitoring data and statistical machine learning" (Vol. 5). Vol. 5. https://doi.org/10.5194/hess-2020-169-supplement

Saia, S. M., Nelson, N., Huseth, A. S., Grieger, K., & Reich, B. J. (2020). Transitioning Machine Learning from Theory to Practice in Natural Resources Management. Ecological Modelling, 435, 109257. https://doi.org/10.1016/j.ecolmodel.2020.109257

Jones, C. N., Nelson, N. G., & Smith, L. L. (2019). Featured Collection Introduction: The Emerging Science of Aquatic System Connectivity I. JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION, 55(2), 287–293. https://doi.org/10.1111/1752-1688.12739

Smith, L. L., Jones, C. N., & Nelson, N. G. (2019, June). Featured Collection Introduction: The Emerging Science of Aquatic System Connectivity II. JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION, Vol. 55, pp. 526–528. https://doi.org/10.1111/1752-1688.12760

Nelson, N. G., Montefiore, L., Anthony, C., Merriman, L., Kuster, E., & Fox, G. A. (2019). Undergraduate Perceptions of Climate Education Exposure in Natural Resources Management. Transactions of the ASABE, 62(3), 831–839. https://doi.org/10.13031/trans.13361

Messer, T. L., Douglas-Mankin, K. R., Nelson, N. G., & Etheridge, J. R. (2019). Wetland Ecosystem Resilience: Protecting and Restoring Valuable Ecosystems. Transactions of the ASABE, 62(6), 1541–1543. https://doi.org/10.13031/trans.13578

Rong, Y., Padron, A. V., Hagerty, K. J., Nelson, N., Chi, S., Keyhani, N. O., … McLamore, E. S. (2018). Post hoc support vector machine learning for impedimetric biosensors based on weak protein-ligand interactions. ANALYST, 143(9), 2066–2075. https://doi.org/10.1039/c8an00065d

Nelson, N. G., Munoz-Carpena, R., Phlips, E. J., Kaplan, D., Sucsy, P., & Hendrickson, J. (2018). 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. https://doi.org/10.1021/acs.est.7b05884

A novel quantile method reveals spatiotemporal shifts in phytoplankton biomass descriptors between bloom and non-bloom conditions in a subtropical estuary. (2017). Marine Ecology Progress Series, 567, 57–78. https://doi.org/10.3354/meps12054

Nelson, N. G., Muñoz-Carpena, R., Neale, P. J., Tzortziou, M., & Megonigal, J. P. (2017). 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. https://doi.org/10.1002/2016WR020196

Smith, A. J., Nelson, N. G., Oommen, S., Hartjes, K. A., Folmes, C. D., Terzic, A., & Nelson, T. J. (2012). Apoptotic susceptibility to DNA damage of pluripotent stem cells facilitates pharmacologic purging of teratoma risk. Stem Cells Translational Medicine, 1(10), 709–718. https://doi.org/10.5966/sctm.2012-0066