ADnet贝叶斯信念网络对的衰退:整合经验数据和专家知识
Inês Gomes Marques1, Cristina Vieites-Blanco2, Patricia M Rodríguez-González2
1Forest Research Centre, Associate Laboratory TERRA, School of Agriculture, University of Lisbon, Tapada da Ajuda, 1349-017 Lisbon, Portugal; cE3c - Center for Ecology, Evolution and Environmental Change & CHANGE - Global Change and Sustainability Institute, Faculty of Sciences, University of Lisbon, 1749-016 Lisbon, Portugal.
全球化引入了像Phytophthora ×alni这样的入侵性害虫,威胁到欧洲的树林. 一个新的贝叶斯网络工具,ADnet,预测疾病传播和辅助管理,整合专家知识和数据,以保护重要的沿海生态系统.
科学领域:
- 生态生态学 生态生态学
- 森林病理学 森林病理学
- 侵袭性物种管理 侵袭性物种管理
背景情况:
- 全球贸易促进了入侵物种的传播,例如影响欧洲河森林的Phytophthora ×alni.
- 的减少对河流生态系统构成生态风险,需要有效的疾病管理工具.
研究的目的:
- 开发和介绍老年衰退网络 (ADnet),这是一个贝叶斯信念网络,用于预测Phytophthora ×alni传播.
- 整合各种数据来源,包括专家知识和经验数据,用于疾病管理.
主要方法:
- 利用贝叶斯的信念网络方法来建模病原体的生存和感染.
- 收集了来自8个国家的19名专家的专家知识.
- 开发了1189个欧洲地点的原始数据集,使用生物气候变量建模病原体的发生.
主要成果:
- ADnet发现温和的温度和高降水对于病原体的生存至关重要.
- 洪水的时间,水速和土壤类型显著影响疾病发病率.
- 该工具表现出对状态变化和场景分析的敏感性.
结论:
- ADnet为生态系统管理和知识转移提供了一种有价值的工具,它涉及的衰退.
- 管理策略包括避免种植受感染的树木和修改影响洪水期间的结构.
- 未来的改进包括扩大数据覆盖范围和研究宿主-病原体遗传相互作用.
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