Eikenberry Steffen E, Iacona Gwen, Murphy Erin L, Watson Greg, Gerber Leah R
School of Mathematical and Statistical Sciences, Arizona State University, Tempe 85281, AZ, USA.
Center for Biodiversity Outcomes, Arizona State University, Tempe 85281, AZ, USA; School of Life Sciences, Arizona State University, Tempe 85281, AZ, USA.
Sci Total Environ. 2024 Apr 15;921:170743. doi: 10.1016/j.scitotenv.2024.170743. Epub 2024 Feb 5.
The US pesticide registration and review process requires regular re-assessment of the risk of pesticide use to species listed under the Endangered Species Act (ESA), yet current assessment methods are inefficient when applied to hundreds of pesticides potentially impacting multiple species across a continent. Thus, many pesticides remain on the market without complete review. We assessed the value of using high resolution pesticide usage data in the risk assessment process to rapidly improve process efficiency. By using data available only in California, we found that high resolution data increased the number of species deemed not likely to be adversely affected by pesticides from <5 % to nearly 50 %. Across the contiguous US, we predicted that 48 % of species would be deemed not likely to be adversely affected using high resolution data, compared to 20 % without. However, if such data were available in just 11 states, 68 % of the available gains in efficiency could be obtained. Overall, using existing high-resolution data in California and a focused collection of such information from 11 other states could reduce risk assessment burden across the contiguous U.S. by one-quarter.
美国农药注册与评审程序要求定期重新评估农药使用对《濒危物种法》（ESA）所列物种的风险，然而，当前的评估方法在应用于可能影响整个大陆多种物种的数百种农药时效率低下。因此，许多农药未经全面评审便仍在市场上销售。我们评估了在风险评估过程中使用高分辨率农药使用数据以迅速提高评估效率的价值。通过仅使用加利福尼亚州现有的数据，我们发现高分辨率数据使被认为不太可能受到农药不利影响的物种数量从不到5%增加到了近50%。在美国本土，我们预计使用高分辨率数据时，48%的物种将被认为不太可能受到农药不利影响，而不使用该数据时这一比例为20%。然而，如果仅在11个州有此类数据，就能获得68%的效率提升。总体而言，利用加利福尼亚州现有的高分辨率数据以及从其他11个州集中收集此类信息，可将美国本土的风险评估负担减轻四分之一。
