Mapping Pollution Reducing Agriculture Practices

Authors: Kimberly Panozzo*, University of Toledo
Topics: Agricultural Geography, Land Use and Land Cover Change, Applied Geography
Keywords: Remote Sensing, Agriculture, Pollution, non-point source pollution, Model
Session Type: Poster
Presentation File: Download

Harmful algal blooms on Lake Erie have been related to increasing dissolved reactive phosphorus (DRP) runoff from agricultural fields. Current research gives emphasis on methods to implement various agricultural practices which reduce nutrient runoff, specifically DRP. Taken individually, these Best Management Practices (BMP) are shown to be effective in minimizing the negative impact of agricultural production at the field level. Building upon previous work utilizing in situ field data, remote sensing, and geospatial information systems to identify agricultural fields which apply BMPs, this project aims to identify and investigate spatial patterns of BMP implementation using five methods of nutrient reduction. We have developed a multilayered approach to identify BMP use which quantifies them by their effectiveness at reducing DRP. Results show BMP use is found to vary widely across the watershed. The results show statistically significant areas of low BMP use and conversely, areas of significantly high nutrient outflow.

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