Natalie Nelson
Assistant Professor
Forecasting Landscape and Environmental Change, Agricultural and Aquatic Biological Resources
Biological and Agricultural Engineering
Bio
Natalie uses geospatial analytics to inform agriculture, aquaculture, water and coastal resources management. She develops data-intensive, management-focused and interdisciplinary approaches to the study of complex biological system dynamics, including the connectivity between land management practices and downstream water quality. Other interests include 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 , GeoHealth (2024)
- Fecal bacteria contamination of floodwaters and a coastal waterway from tidally-driven stormwater network inundation , (2024)
- In-season Sweetpotato Yield Forecasting using Multitemporal Remote Sensing Environmental Observations and Machine Learning , (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)