Natalie Nelson

Bio

Dr. Natalie Nelson is the Principal Investigator of the Biosystems Analytics Lab in the Biological and Agricultural Engineering Department at NC State. She received her Ph.D. in Agricultural and Biological Engineering from the University of Florida with the support of a NSF Graduate Research Fellowship, and she has conducted research at the Smithsonian Environmental Research Center as a Research Affiliate and NSF Graduate Research Intern. Dr. Nelson joined BAE in August 2017.

Dr. Nelson’s research takes a data-intensive, management-focused, and interdisciplinary approach to the study of complex biological system dynamics. Her specific research interests include: using data analytics and integrated models to inform agriculture, aquaculture, water, and coastal resources management; estimating estuarine system futures as a function of local and global change; identifying risks to food security in coastal basins; linking data mining and mechanistic modeling approaches; and investigating spatial and temporal dynamics of socio-environmental systems across settings and scales.

Publications

• Assessing the Utility of Shellfish Sanitation Monitoring Data for Long-Term Estuarine Water Quality Analysis , (2024)
• Downstream Nutrient Concentrations Depend on Watershed Inputs More Than Reservoir Releases in a Highly Engineered Watershed , WATER RESOURCES RESEARCH (2024)
• Fecal bacteria contamination of floodwaters and a coastal waterway from tidally-driven stormwater network inundation , (2024)
• Short-term forecasting of fecal coliforms in shellfish growing waters , MARINE POLLUTION BULLETIN (2024)
• 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 (2023)
• Machine learning approach for modeling daily pluvial flood dynamics in agricultural landscapes , ENVIRONMENTAL MODELLING & SOFTWARE (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 (2023)
• Patterns and drivers of nutrient trends in flood-impacted surface waters: Insights from Bayesian modeling approaches , (2023)
• Satellite and in situ cyanobacteria monitoring: Understanding the impact of monitoring frequency on management decisions , Journal of Hydrology (2023)
• TESTING THE AGREEMENT BETWEEN A TRADITIONAL AND UAV-BASED METHOD FOR QUANTIFYING SKIPS IN SUBOPTIMAL COTTON STANDS , JOURNAL OF THE ASABE (2023)