School of Biological Sciences, University of Nebraska-Lincoln, Lincoln, Nebraska, USA.
Syngenta Crop Protection, Greensboro, North Carolina, USA.
Integr Environ Assess Manag. 2015 Jul;11(3):348-54. doi: 10.1002/ieam.1628. Epub 2015 Mar 21.
This brief communication reports on the main findings and recommendations from the 2014 Science Forum organized by CropLife America. The aim of the Forum was to gain a better understanding of the current status of population models and how they could be used in ecological risk assessments for threatened and endangered species potentially exposed to pesticides in the United States. The Forum panelists' recommendations are intended to assist the relevant government agencies with implementation of population modeling in future endangered species risk assessments for pesticides. The Forum included keynote presentations that provided an overview of current practices, highlighted the findings of a recent National Academy of Sciences report and its implications, reviewed the main categories of existing population models and the types of risk expressions that can be produced as model outputs, and provided examples of how population models are currently being used in different legislative contexts. The panel concluded that models developed for listed species assessments should provide quantitative risk estimates, incorporate realistic variability in environmental and demographic factors, integrate complex patterns of exposure and effects, and use baseline conditions that include present factors that have caused the species to be listed (e.g., habitat loss, invasive species) or have resulted in positive management action. Furthermore, the panel advocates for the formation of a multipartite advisory committee to provide best available knowledge and guidance related to model implementation and use, to address such needs as more systematic collection, digitization, and dissemination of data for listed species; consideration of the newest developments in good modeling practice; comprehensive review of existing population models and their applicability for listed species assessments; and development of case studies using a few well-tested models for particular species to demonstrate proof of concept. To advance our common goals, the panel recommends the following as important areas for further research and development: quantitative analysis of the causes of species listings to guide model development; systematic assessment of the relative role of toxicity versus other factors in driving pesticide risk; additional study of how interactions between density dependence and pesticides influence risk; and development of pragmatic approaches to assessing indirect effects of pesticides on listed species.
本简讯报告了 2014 年由 CropLife America 组织的科学论坛的主要发现和建议。该论坛的目的是更好地了解种群模型的现状,以及如何将其用于在美国可能接触到农药的受威胁和濒危物种的生态风险评估。论坛小组成员的建议旨在协助相关政府机构在未来对农药的濒危物种风险评估中实施种群建模。该论坛包括主题演讲,提供了当前实践的概述,强调了最近美国国家科学院报告的发现及其影响,回顾了现有人口模型的主要类别和可以作为模型输出产生的风险表达类型,并提供了如何当前在不同立法背景下使用人口模型的示例。专家组得出结论,为列出的物种评估开发的模型应提供定量风险估计,纳入环境和人口因素的实际可变性,整合复杂的暴露和影响模式,并使用包括导致物种被列出的当前因素(例如,栖息地丧失,入侵物种)或导致积极管理行动的基线条件。此外,专家组主张成立一个由多方组成的顾问委员会,提供与模型实施和使用相关的最佳可用知识和指导,以满足以下需求:更系统地收集、数字化和传播列出的物种数据;考虑良好建模实践的最新发展;全面审查现有的人口模型及其对列出的物种评估的适用性;以及使用少数经过充分测试的模型为特定物种开发案例研究,以证明概念验证。为了推进我们的共同目标,专家组建议以下是进一步研究和开发的重要领域:对物种列入清单的原因进行定量分析,以指导模型开发;系统评估毒性与其他因素在推动农药风险方面的相对作用;进一步研究密度依赖性和农药之间的相互作用如何影响风险;以及开发实用方法来评估农药对列出的物种的间接影响。