using pur data and the prime tool to assess pest management
TRANSCRIPT
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Using PUR Data and the PRiME Tool To Assess Pest Management Practices
S.E. Kegley, P. Mineau, W.D. Pronschinske,
M. Guzy, C. Benbrook, P.C. Jepson, K. Benbrook, T.A. Green, L. Presley, J. Kaplan
Improving health and environment by identifying and reducing pesticide risks
in agriculture
www.ipmprime.org
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How does PRiME differ from existing indicators?
• Risk (not hazard) based, probabilistic for most indices
• Addresses interspecies toxicity range
• Includes local soil types, rainfall for site-specific score
• Adjusts risk for different application methods and mitigation practices
• Calibrates scores against documented field impacts***
*** Where data permit
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Acute indices – calibrated against available field studies • Avian: Probability that a given application will give rise to bird mortality. • Small Mammal: Probability of a population-level effect. • Earthworms: Probability of >35% loss of biomass. • Aquatic Invertebrates: Probability that >10% of taxa will be impacted
significantly (typically 50-90% loss of population). • Algae: Probability that >20% of species will be impacted significantly. • Pollinators: Coming soon Chronic / reproductive indices – Follow risk assessment methodology but not
calibrated against actual field outcomes.
• Avian & fish: Proportion of the breeding season over which reproduction is compromised.
Environmental Risk Indicators Defined
RISK BANDS: < 10% 10 – 50 % > 50 % Negligible Moderate High
** See detailed ‘white paper’ available for each index
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• Inhalation: Probability of the 4–12 hour air concentration exceeding the short-term inhalation Reference Exposure Level (REL) for a 1-year-old
• Dermal: Exceedance of the dermal Reference Dose (RfD) for a woman of childbearing age
• Dietary Risk Index (DRI): Exceedance of the chronic oral RfD for a 4-year-old child from food and drinking water
Human Health Risk Indices
RISK BANDS: < 0.1 0.1–0.5 0.5–1.0 Negligible Moderate High
** See detailed ‘white paper’ available for each index
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Choose the Site
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Upload Application Records
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Grower #1
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Grower #1
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Grower #2
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Grower #2
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Grower #1
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California PUR Cotton Data
Scenario: Textile producer purchases locally-grown cotton from Kern County, California • 10 years of spray records
(2001-2010) • 100 fields per year
analyzed in PRiME • Average of 23 growers
per year, 40 growers total
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e.g. 2010
A. Comparing performance of growers
RISK “CREEP”’
Probability of a Bird Kill After One Application
Probability of a Bird Kill by Field After All Applications
Single Application: Probability of a Bird Kill
Season Long: Cumulative Probability of a Bird Kill
Num
ber o
f Fie
lds
Num
ber o
f App
licat
ions
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A small fraction of applications present a risk to mammals but a large proportion of the fields use a high risk chemical – paraquat.
A. Comparing performance of growers
Single Application: Probability of a Population Level Effect in Small Mammals
Num
ber o
f App
licat
ions
Num
ber o
f Fie
lds
Probability of a Population Level Effect by Field After All Applications
Probability of a Population Level Effect After One Application
Season Long: Cumulative Probability of a Population Level Effect in Small Mammals
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Terrestrial vertebrate risk% of applications considered high risk
0.0%
2.0%
4.0%
6.0%
8.0%
10.0%
12.0%
14.0%
16.0%
18.0%
2000 2002 2004 2006 2008 2010 2012
Avian acute
Small mammal acute
Avian chronic/reproduction
B. Time trend analysis Percent of Applications to Cotton Considered
High Risk To Terrestrial Vertebrates
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Aquatic risk % of applications potentially high risk
0.0%
5.0%
10.0%
15.0%
20.0%
25.0%
2000 2002 2004 2006 2008 2010 2012
Invertebrate acute
Fish chronic
Algae acute
?
cyfluthrin endosulfan
B. Time trend analysis
Percent of Applications to Cotton Considered High Risk To Aquatic Organisms
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C. Landscape Analysis
Analyzed all agricultural pesticide applications in 2010 to a 36-square mile block in San Joaquin County, CA.
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Number of Fields per Section
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Average Field Score for Avian Acute
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Proportion of High Risk Scores for Avian Acute
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Conclusion: Provided you have the pesticide input data, you can use PRiME to identify problem areas, time trends or growers needing assistance. Of course, the tool can be used pro-actively to reduce the environmental footprint of farming activities
Acknowledgments:
IPM Institute of North America, Inc.
.... and the many advisors and reviewers
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Inhalation Risk Index
High Inhalation Risk Pesticides Used on Grapes
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Inhalation Risk Index
Moderate Inhalation Risk Pesticides
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Dermal Risk Index
High Dermal Risk Pesticides Used on Grapes
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Dermal Risk Index
High Dermal Risk Pesticides Used on Grapes
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Dermal Risk Index
Moderate Dermal Risk Pesticides