Integrated Analytical Approaches for Pesticide Management

Food and Environmental Protection Laboratory, Joint FAO/IAEA Division of Nuclear Techniques in Food and Agriculture, Department of Nuclear Sciences and Applications, International Atomic Energy Agency, Vienna, Austria Laboratory Head, Food and Environmental Protection Laboratory, Joint FAO/IAEA Division of Nuclear Techniques in Food and Agriculture, Department of Nuclear Sciences and Applications

1. Introduction 2. Generic guidelines on integrated analytical approaches to assess indicators of pesticide management practices at a catchment scale. Black-box monitoring and the laboratory’s role in fostering good agricultural practice 3. Sampling strategies 4. Implementation and optimization of soil sampling: some practical guidance and considerations 5. Ecological Risk Assessment of Pesticides Used in Agriculture 6. Biodiversity and Biomonitoring Indexes 7. Use of biomarkers for studying the effects of pesticides on freshwater organisms 8. Overview of Analytical Methodologies and Techniques for Pesticide Residue Analysis 9. Pesticides in water, soil and sediments 10. Quality control measures at the analytical laboratory 11. The use of nuclear techniques for environmental studies 12. Easy to use pesticide fate/effects models and statistical tools 13. Environmental Risk Indicators: Their Potential Utility in Pesticide Risk Management and Communication 14. Remediation and Mitigation Strategies 15. Integrated Analytical Monitoring 16. Assessment of potential risks and effectiveness of agrochemical usage in a catchment: a case study of the Nzoia Nucleus Estate sugarcane farms in western Kenya 17. Indicators of Good Agricultural Practises in Viticulture 18. Conclusions and recommendations

Appendix 1. Description of the Pesticide Impact Rating Index (PIRI) 2. Framework for sampling for pesticides in water/sediments 3. Sampling tools and procedures 4. Linking soil and pesticide behaviour at a landscape scale: the way forward to opening the black-box 5. Biomonitoring validation 6. Interpreting water and soil monitoring parameters