FIFRA, ESA and Pesticide Consultation: Identifying and Overcoming the Complexities from a Growers Perspective
DOI:
https://doi.org/10.62300/qtfvh974Palabras clave:
FIFRA, Endangered Species Act (ESA), pesticide risk assessment, mitigation, specialty crops, modeling and model validation, species range mapping, pesticide usage data, interagency consultation, Bulletins Live! Two (BLT), drift reduction, air‑blast sprayers, probabilistic risk assessment, stakeholder engagementResumen
This commentary examines why consultations under the Endangered Species Act (ESA) have been so difficult to align with pesticide actions under the Federal Insecticide, Fungicide, and Rodenticide Act (FIFRA), and proposes grower‑oriented ways to make protections both scientifically credible and practically implementable. The authors outline six interlocking challenges identified by EPA—including workload and staffing constraints, process misalignment, broad registrations affecting many species, methodological/data gaps, and the need for stronger interagency relationships—alongside the National Research Council’s recommendations on harmonized methods, probabilistic risk assessment, and the incorporation of stakeholder data. The paper details growers’ concerns about the accuracy of species and habitat mapping, access to and weighting of pesticide use data, conservative surrogate‑species toxicity assumptions, the real‑world feasibility of mitigation measures (especially for specialty crops and leased land), heavy reliance on models that may not be sufficiently validated for all use scenarios, and communication/usability issues with EPA’s Bulletins Live! Two (BLT). Case examples compare model predictions to field monitoring (e.g., atrazine in Florida; chlorpyrifos and malathion in the Pacific Northwest), highlighting where screening models may overpredict exposure and where tiered, refined approaches substantially improve accuracy. The commentary closes by urging EPA and partner agencies to ground decisions in realistic use scenarios, invest in validated exposure modeling (including air‑blast drift Tier III tools and drift‑reduction technologies), refine geospatial targeting of mitigations, and ensure affected producers have a seat at the table—eschewing one‑size‑fits‑all rules in favor of practicable, crop‑specific solutions.Descargas
Referencias
Bird SL, Perry SG, Ray SL, Teske ME. 2002. Evaluation of the AgDISP aerial spray algorithms in the AgDRIFT model. Environ Toxicol Chem 21(3):672–681
Cranney JR. 2023. Comments of the Minor Crop Farmer Alliance on the “Appendix to the ESA Workplan Update: Proposed Label Language for Public Comment”, Docket Identification Number EPA‑HQ‑OPP‑2022‑0908
Culpepper AS, Randell‑Singleton T. 2023. Comments to the U.S. EPA on the ESA Workplan Update: Nontarget Species Mitigation for Registration and Review and Other FIFRA Actions Docket No. EPA‑HQ‑OPP‑2022‑0908
Jones VP, Hilton R, Brunner JF, Bentley WJ, Alston DG, Barrett B, Van Steenwyk RA, Hull LA, Walgenbach JF, Coates WW, Smith TJ. 2013. Predicting the emergence of the codling moth, Cydia pomonella (Lepidoptera: Tortricidae), on a degree‑day scale in North America. Pest Management Science 69:1393–1398. https://doi.org/10.1002/ps.3519
Larson SJ, Gilliom RJ. 2001. Regression models for estimating herbicide concentrations in U.S. streams from watershed characteristics. J Am Water Resour Assoc 37:1349–1367. https://doi.org/10.1111/j.1752-1688.2001.tb03644.x
Merrill D, Leatherby L. 2018. Here Is How America Uses Its Land. Bloomberg. https://www.bloomberg.com/graphics/2018-us-land-use/
National Marine Fisheries Service. 2022. Revised Conference and Biological Opinion on the Environmental Protection Agency’s Registration Review of Pesticide Products containing Chlorpyrifos, Malathion, and Diazinon. https://doi.org/10.25923/mqyt-xh03
National Research Council. 2013. Assessing Risks to Endangered and Threatened Species from Pesticides. Washington, DC: The National Academies Press. https://doi.org/10.17226/18344
Perkins DB, Chen W, Jacobson A, Stone Z, White M, Christensen B, Ghebremichael L, Brain R. 2021. Development of a mixed‑source, single pesticide database for use in ecological risk assessment: quality control and data standardization practices. Environ Monit Assess 193:827. https://doi.org/10.1007/s10661-021-09596-9
Rossmeisel CM, Bohaty R. 2020. Chlorpyrifos: Draft Ecological Risk Assessment for Registration Review. https://www.regulations.gov/document/EPA-HQ-OPP-2008-0850-0940
Stone WW, Crawford CG, Gilliom RJ. 2013. Watershed Regressions for Pesticides (WARP) models for predicting stream concentrations of multiple pesticides. J Environ Qual 42:1838–1851. https://doi.org/10.2134/jeq2013.05.0179
Temple WB, Johnson HM. 2011. Occurrence and distribution of pesticides in surface waters of the Hood River basin, Oregon, 1999–2009. U.S. Geological Survey Scientific Investigations Report 2011‑5082
Teske ME, Bird SL, Esterly DM, Curbishley TB, Ray SL, Perry SG. 2002. AgDrift: A model for estimating near‑field spray drift from aerial applications. Environ Toxicol Chem 21:659–671. https://doi.org/10.1002/etc.5620210327
USDA NASS. 2010. Agricultural Chemical Usage 1997–2009 Fruit Summary. https://quickstats.nass.usda.gov/results/D8B661BF-03DC-3E90-ADEC-9D4120D7E754
US EPA. 2022a. Appendix to the ESA Workplan Update: Proposed Label Language for Public Comment. https://www.epa.gov/system/files/documents/2022-11/esa-workplan-update.pdf
US EPA. 2022b. Balancing Wildlife Protection and Responsible Pesticide Use. https://www.epa.gov/system/files/documents/2022-04/balancing-wildlife-protection-and-responsible-pesticide-use_final.pdf
US EPA. 2024. Bulletins Live! Two. https://www.epa.gov/endangered-species/bulletins-live-two-view-bulletins
Winchell M, Pai N, Braydon B, Stone C, Whatling P, Hanzas J, Stryker J. 2018. Evaluation of watershed‑scale simulations of in‑stream pesticide concentrations from off‑target spray drift. J Environ Qual 47:79–87. https://doi.org/10.2134/jeq2017.06.0238
Descargas
Publicado
Número
Sección
Licencia
Derechos de autor 2026 Council for Agricultural Science and Technology (CAST)

Esta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial 4.0.
License Terms for CC Attribution-NonCommercial 4.0:
License URL: https://creativecommons.org/licenses/by-nc/4.0/
License Terms Statement:
You are free to:
- Share — copy and redistribute the material in any medium or format
- Adapt — remix, transform, and build upon the material
Under the following conditions:
- Attribution — you must give appropriate credit, provide a link to the license, and indicate if changes were made
- NonCommercial — you may not use the material for commercial purposes
No additional restrictions — you may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.