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The UK pesticide load indicator: development toward a policy tool
J Tzilivakis1, K A Lewis1, M C Kennedy2
1Agriculture and Environment Research Unit, School of Health, Medicine and Life Sciences, University of Hertfordshire, Hatfield, UK.
Summary
The UK Pesticide Load Indicator (PLI) was enhanced to better assess environmental impacts. This revised methodology uses 20 metrics, avoiding aggregation for a clearer picture of pesticide risks.
Area of Science:
- Environmental Science
- Agricultural Science
- Ecotoxicology
Background:
- Pesticides are crucial for agriculture and food security but pose environmental and health risks.
- Existing pesticide assessment tools, like the Danish Pesticide Load Indicator (PLI), have limitations when applied to UK conditions.
- There is a need for improved methods to support pesticide policy development, evaluation, and communication.
Purpose of the Study:
- To adapt and enhance the Pesticide Load Indicator (PLI) methodology for UK policy needs.
- To address deficiencies identified in the previous application of the Danish PLI to the UK.
- To develop a more nuanced approach for assessing pesticide impacts on the environment.
Main Methods:
- The study adapted the PLI methodology, moving away from a single aggregated index.
- The revised approach presents results as a suite of 20 distinct metrics (4 environmental fate, 16 ecotoxicity).
- The methodology was tested with examples to illustrate its application in policy-relevant scenarios.
Main Results:
- The non-aggregated approach reveals impacts on individual taxa that would be obscured by a single index.
- Potential trade-offs of pesticide policy decisions (e.g., withdrawals) are more clearly identified.
- The suite of metrics provides a richer, more detailed understanding of pesticide risks.
Conclusions:
- The enhanced PLI methodology offers a more comprehensive assessment of pesticide impacts tailored to UK policy.
- Presenting results as multiple metrics, despite communication challenges, provides superior insights compared to a single index.
- Future developments include incorporating more taxa and improving uncertainty calculations for pesticide usage data.

