萨法里斯:一种用于害虫预测系统的空间分析框架
Yu Takeuchi1, Amber Tripodi2, Kellyn Montgomery3
1Center for Integrated Pest Management, North Carolina State University, Raleigh, NC, United States.
Frontiers in insect science
|March 12, 2024
概括
一个新的框架,SAFARIS,有助于预测侵袭性害虫和影响美国森林和农业的疾病的风险. 该系统有助于美国农业部保护自然资源和农业健康免受生物威胁.
科学领域:
- 农业科学 农业科学
- 林业林业 林业 林业 林业
- 生态生态学 生态生态学
- 风险评估 风险评估 风险评估
背景情况:
- 非本土的害虫和疾病威胁到美国的森林和农业,造成严重的经济和环境损害.
- 美国农业部的APHIS PPQ旨在防止入侵物种的引入和传播.
- 评估每个害虫和疾病所带来的独特风险是一个复杂的挑战.
研究的目的:
- 引入高级风险信息系统 (SAFARIS) 的空间分析框架.
- 为开发预测性害虫和疾病风险模型提供一个用户友好的,集成的系统.
- 为了支持USDAAPHIS PPQ在入侵物种管理方面的使命.
主要方法:
- 萨法里斯集成了害虫生物学,气候和非气候数据驱动器.
- 该框架包括用于现象学预测和传播预测的工具.
- 预测模型是在一个无的,基于Web的环境中开发的.
主要成果:
- 萨法里斯为分析害虫和疾病风险提供了可访问和可定制的工具.
- 基于气候的分析工具为决定合适的建立区域和最佳调查时间提供了信息.
- 两个用例证明了SAFARIS对PPQ的运营努力和快速响应的支持.
结论:
- 萨法里斯提高了美国农业部应对害虫和疾病威胁的能力.
- 该框架的灵活,公开可用的设计允许更广泛的风险建模应用.
- 萨法里斯有助于保护美国的农业和自然资源免受入侵物种的侵害.
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