Managing Atrazine Application
Using Risk Assessment Maps

  

Introduction

Risk Map

Interactive Risk Map

Interactive Risk Map Tutorial

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Michigan Corn Growers Association

Introduction

Atrazine, as one of major agricultural herbicides, has been used for weed control in corn production for more than three decades. Atrazine is a valuable herbicide for corn growers because it can effectively control weeds and its cost is relatively low. However, atrazine is also susceptible to leaching and runoff which may cause water pollutions. Frequent detection of atrazine in water supplies has led the U.S. Environmental Protection Agency (USEPA) to implement more restrictive guidelines for atrazine use. Atrazine has frequently been found in Michigan waters with some samples exceeding the drinking water standard. The St. Joseph River watershed was labeled by USEPA as the largest contributor of atrazine to Lake Michigan. Technical assistance and information about atrazine use risks are needed for corn growers to archive high corn productivity while keeping their drinking water safe.

This project uses the models developed by the U.S. Department of Agriculture (USDA) and Geographic Information System (GIS) technology to produce user-friendly risk assessment maps. St. Joseph County was selected as the study area in this risk mapping project. Factors associated with atrazine leaching and runoff are considered in risk assessment. By having risk maps readily available for coops, consultants, applicators, corn growers, the high potential risk areas can be identified when a decision is being made about herbicide application. Risk maps can also help farmers for record keeping on high risk areas where best management is in place in compliance with environmental regulations.

Methodology

Risk Assessment Models

Two models developed by the U.S. Department of Agriculture were used to assess the risk of atrazine movement to water bodies (lakes, streams, and groundwater): the Windows Pesticide Screening Tool (Win-PST) and the Revised Universal Soil Loss Equation (RUSLE).

Win-PST uses qualitative ratings to classify the relative likelihood of pesticide loss from field boundaries via runoff and from root zone via percolation. The algorithm used for the screening procedure was developed by Goss and Wauchope (1990) in the USDA. The procedure uses the soil database provided by the USDA and pesticide database provided by the US Environmental Protection Agency. The overall risk ratings are based on the interactions of ratings for pesticides and soils using a rule-based algorithm. These basic ratings are then adjusted by site-specific conditions such as the method and rate of pesticide application, field slope, soil macropores, water table, and probability of rainfall. The risk ratings are classified as “high”, “intermediate”, “low”, and for leaching, “very low”. The results from Win-PST were used to generate the risk maps for atrazine leaching potential to groundwater. The risk maps are color coded to represent the different levels of risks.

The Institute of Water Research has worked with Win-PST approach in the past three years. We have evaluated Win-PST with another USDA pesticide risk assessment model National Agricultural Pesticide Risk Analysis (NAPRA). We found that Win-PST can provide consistent and comparable assessment with other risk assessment model. Our previous studies have also shown that Win-PST is conservative regarding the risk of pesticide losses for pesticides with high toxicity and low application rates (Da Ouyang, 1999).

In addition to assess the risk of atrazine loss to groundwater which is the primary concern in St. Joseph county, we have provided the risk assessment for surface water using RUSLE. RUSLE is a widely used soil erosion model developed by the USDA. We used RUSLE to estimate the potential risk of atrazine loss to the surface water from runoff and sediment. RUSLE takes into account the following factors:

A = R * K * LS * C * P

Where

A = estimated average soil loss in tons per acre per year
R = rainfall-runoff erosivity factor
K = soil erodibility factor
L = slope length factor
S = slope steepness factor
C = cover-management factor
P = support practice factor

The risk maps for potential atrazine loss to surface water from runoff and sediment-bound compound was generated based on soil loss in tons per acre per year.

Data Source: 

Soil properties database and digital soil data were provided by the Natural Resource Conservation Service, U.S. Department of Agriculture. Pesticide properties database were from the U.S. Environmental Protection Agency (USEPA). Soil and pesticide properties databases were included in Win-PST program. Atrazine application and tillage management data were obtained from Michigan State University Extension office and NRCS County Office in St. Joseph, Michigan.

GIS Technology: 

Maps were generated by using ArcView and ArcExplorer GIS (Geographic Information System). This technology allows us to generate geo-referenced maps, overlay different layers such as soils, roads and county boundaries, and color code the risk areas. Digital images with 4-meter resolution from the U.S. Geological Survey (USGS) were used as the backdrop.

Results and Products

The main result for this project is to produce risk assessment maps for atrazine application in the study area St. Joseph County.

Map products:

Risk maps are produced in both printed and digital format. Various scales of maps (county, township, field-size level) are available based on the user’s need. Map layers include soils, roads, streets with street names, water systems (lakes, rivers, streams), digital photographs, and risk ratings. By using a GIS software (ArcView or Arc Explorer), users can easily zoom in/out the area of their interest and select/deselect/overlay different data layers. Sample maps are attached as appendix.

Evaluation:

Initial map products in a selected township in Phase I have been presented to the advisory team. Map products in Phase II have been completed in Fall of 2000 with feedbacks from advisory team from Phase I, and more digital soil data provided by NRCS. Phase II maps cover the entire St. Joseph County and have again been evaluated by the advisory team in December 2000. Advisory team members include Rich Hodupp, Agricultural Agent in St. Joseph County (now in Kalamazoo County), Jon Silsby, a certified crop advisor in Michigan Wilbur-Ellis Company, Bill Foster, United Agri Products (UAP), a ConAgra Company, Marcy Strefling, St. Joseph County Agricultural Agent, and Bruce MacKellar, Van Buren County Agricultural Agent.

Map Applications:

With overlaying risk ratings and digital images and other data layers, the risk map can help identify the important information such as whether or not a field/residential area is in a high risk area, and how far it is to the water body, etc. The information can then be used to aid decision makers (e.g. corn growers and applicators) in herbicide application if additional precautions need to be taken. Corn growers can also use the risk maps to help record keeping for atrazine use in their corn fields, especially when the field is labeled high risk area. The risk assessment mapping system may help crop consultants provide science-based recommendations in herbicide selection and application methods to minimize the environmental risks. Combined with GIS/GPS technology, the digital risk mapping program can be used as a guiding system for herbicide application in corn production.

Distribution:

Color coded risk maps are available in 8.5” x 11” paper hardcopy and in CD-ROM. A free commercial GIS software ArcExplorer is distributed on the CD with the risk map data to display the maps. Technical assistance will be provided to users who want to use the risk maps in digital format on our distributed CDs.

Future Study:

This project has demonstrated corn industry’s proactive and environmentally conscientious herbicide use philosophy. As the risk assessment /mapping technology is deployed for atrazine, it will provide a proof of how the technology can help corn growers to achieve profitability and maintain safe drinking water. With additional funding made available, the risk mapping system can be applied to other compounds and other counties. Using this technology in corn production will assist in assuring continued availability of cost effective herbicide products to corn growers, and therefore benefits the corn industry in Michigan.

References

Bagdon, J., E. S. Hesketh, S. Plotkin, and M. S. Hugo (1994). NAPRA Technology Transfer Overview: An Introduction. NAPRA Technical Notes.

Goss, D., and R. D. Wauchope (1990). The SCS/ARS/CES Pesticide Properties Database: II Using it with soils data in a screening procedure. In: Proceedings of the Third National Research Conference on Pesticides. NRCS, USDA.

Hornsby, A. G., R. D. Wauchope, and A. E. Herner (1995). Pesticide Properties in the Environment. Springer-Verlage New York, Inc.

Keisel, W. G., R. A. Leonard, and F. M. Davis (1992). GLEAMS Users’ Guide.

Ouyang, D., and J. Bartholic (2001). The web-based application for soil erosion prediction. An International Symposium – Soil Erosion Research for the 21st Century. January 3-5, 2001. Honolulu, HI.

Ouyang, D. (1999). Evaluation of the Windows Pesticide Screening Tool. Report to Institute for Agriculture and Trade Policy.

Ouyang, D., J. Bartholic, and E. Hesketh (1998). Risk-based Analysis of Pesticide Applications in Agricultural Cropland. In: Proceedings of Watershed Management: Moving from theory to implementation. May 3-6, 1998. Denver, Co. pp 1089-1096.

Ribaudo, M. O., and A. Bouzher (1994). Atrazine: Environmental Characteristics and Economics of Management. Agricultural Economic Report 699, USDA.

Ribaudo, M. O., and A. Bouzher (1994). Banning atrazine would increase costs to farmers and consumers. Summary report #AER-699, USDA.

Shaffer, R. D. (1989). Evaluation of Leaching Prediction Models for Herbicide Movement in the Soil Vadose Zone. PhD Dissertation, Michigan State University.

U.S. Department of Agriculture, NRCS, 1983. Soil Survey of St. Joseph County, Michigan.

Vickery, J. (1999). Decision Tool for Integrated Pesticide Selection and Management. The Institute for Agriculture and Trade Policy. Minneapolis, MN.

Zacharias, S., and C. D. Heatwole (1994). Evaluation of GLEAMS and PRZM for prediction pesticide leaching under field conditions. Transactions of ASAE. Vol. 37(2): 439-451.

Acknowledgements

This project was supported in part by the Michigan Corn Growers Association (MCGA) and Corn Marketing Program of Michigan (CMPM). We thank Rich Hodupp, Agricultural Agent in St. Joseph County (now in Kalamazoo County), for his technical assistance and coordination with local corn growers and crop consultants. We also thank our technical advisory team, especially Jon Silsby, a certified crop advisor in Michigan, Marcy Strefling, St. Joseph County Agricultural Agent, and Bruce MacKellar, Van Buren County Agricultural Agent, for their advice and feedback.

 

For an interactive map,
click here


For more information, please contact Da Ouyang at the Institute of Water Research, Michigan State University. 

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