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使用人工智能来防止昆虫末日:朝着新的环境风险评估程序

Lautaro Gandara¹, Amy L Foreman², Justin Crocker¹

¹European Molecular Biology Laboratory, Heidelberg, Trust Genome Campus, Hinxton CB10 1SD, UK.

Current opinion in insect science

|December 28, 2024

概括

杀虫剂对昆虫行为的潜在致命影响是人口减少的主要驱动因素. 将行为测试与人工智能集成到环境风险评估 (ERA) 中,可以改善分子安全评估.

科学领域:

生态毒理学生态毒理学
行为生态学行为生态学
环境科学环境科学

背景情况:

全球昆虫数量下降是一个重大的环境问题.
存在多个驱动因素,但它们的相对贡献需要进一步的实验验证.
标准的环境风险评估 (ERA) 往往忽视了杀虫剂的非致命影响.

研究的目的:

突出杀虫剂对昆虫行为的作用.
提出一种改进的方法来评估化学化合物的安全性.
提高环境风险评估 (ERA) 的准确性.

主要方法:

在现场相关的度下,研究了农药的亚致命效应.
专注于行为测试作为高水平的表型指标.
建议将行为分析与人工智能 (AI) 分析方法整合起来.

主要成果:

低致死性农药暴露显著影响昆虫的行为.
行为变化反映了更广泛的生理变化.
目前的ERA协议可能低估了农药风险,因为忽视了亚致命效应.

结论:

由AI增强的行为分析,为ERA提供了更敏感的方法.
结合这些方法可以更好地评估现场应用的化学安全性.
这种方法对于保护生物多样性和确保粮食安全至关重要.

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