Skip to main content
×
Home
    • Aa
    • Aa

An alternative way to evaluate the environmental effects of integrated pest management: Pesticide risk indicators

  • Thomas J. Greitens (a1) and Esther Day (a2)
Abstract
Abstract

This study examines whether pesticide risk indicators can be used to evaluate the environmental effects of pesticide applications within integrated pest management (IPM) projects. Pesticide risk indicators, commonly used in European countries, are mathematical equations that consider data inputs such as application rates, toxicity levels of a pesticide's active ingredient, meteorological data, the soil characteristics of farm fields, and other information to generate potential risk scores for pesticide applications. These potential risk scores represent the best estimate of a pesticide's impact on the surrounding environment. This project analyzed eight pesticide risk indicators, developed throughout Europe and the United States, with two years of pesticide application data from four farms using IPM. This two-year study allowed for a determination of the validity and reliability of pesticide risk indicators. The findings reveal that only three pesticide risk indicators performed consistently and gave valid results. These indicators are: the synoptic evaluation model for plant protection agents (SYNOPS) indicator from Germany, the multi-attribute toxicity factor from the United States, and the environmental impact quotient from the United States. As a result, the authors recommend these three indicators for future research and for IPM evaluative efforts that emphasize the environmental effects of pesticides.

Copyright
Corresponding author
*Corresponding author: thomas.greitens@gmail.com or fripp_1@ameritech.net
Linked references
Hide All

This list contains references from the content that can be linked to their source. For a full set of references and notes please see the PDF or HTML where available.

3  F. Zalom 2001. Pesticide use practices in integrated pest management. In R. Krieger (ed.). Handbook of Pesticide Toxicology. 2nd ed. Academic Press, San Diego, CA. p. 275283.

5  J. Reus , P. Leendertse , C. Bockstaller , I. Fomsgaard , V. Gutsche , K. Lewis , C. Nilsson , L. Pussemier , M. Trevisan , H. van der Werf , F. Alfarroba , S. Blumel , J. Isart , D. McGrath , and T. Seppala 2002. Comparison and evaluation of eight pesticide environmental risk indicators developed in Europe and recommendations for future use. Agriculture, Ecosystems, and Environment 90:177187.

7  M. Swanson , G. Davis , L. Kincaid , T. Schultz , J. Bartmess , S. Jones , and E. George 1997. A screening method for ranking and scoring chemicals by potential human health and environmental impacts. Environmental Toxicology and Chemistry 16:372383.

14  C. Benbrook , D. Sexon , J. Wyman , W. Stevenson , S. Lynch , J. Wallendal , S. Diercks , R. Van Haren , and C. Granadino 2002. Developing a pesticide risk assessment tool to monitor progress in reducing reliance on high-risk pesticides. American Journal of Potato Research 79:183199.

19  P. Chen and P. Popovich 2002. Correlation: Parametric and Nonparametric Measures. Sage Publications, Thousand Oaks, CA.

21  K. Falconer 2002. Pesticide environmental indicators and environmental policy. Journal of Environmental Management 65:285300.

Recommend this journal

Email your librarian or administrator to recommend adding this journal to your organisation's collection.

Renewable Agriculture and Food Systems
  • ISSN: 1742-1705
  • EISSN: 1742-1713
  • URL: /core/journals/renewable-agriculture-and-food-systems
Please enter your name
Please enter a valid email address
Who would you like to send this to? *
×

Keywords:

Metrics

Full text views

Total number of HTML views: 5
Total number of PDF views: 20 *
Loading metrics...

Abstract views

Total abstract views: 160 *
Loading metrics...

* Views captured on Cambridge Core between September 2016 - 26th September 2017. This data will be updated every 24 hours.