一个关于欧盟外来入侵植物的数据集涉及欧盟外来入侵植物
Lucia Antonietta Santoianni1, Elena Barni2,3, Daniela Bouvet2,3
1Department of Agricultural Sciences, University of Sassari, Sassari, Italy.
Scientific data
|February 26, 2026
概括
PREVALIEN是一个新的开放访问数据集,用于防止和检测意大利保护区的侵入性外来植物 (IAP). 它提供了关键的生态和空间数据,以支持监测和基于证据的保护政策.
科学领域:
- 生态生态学 生态生态学
- 保护生物学 保护生物学
- 环境信息学环境信息学
背景情况:
- 侵入性外来植物 (IAP) 对欧盟 (EU) 保护区的生物多样性和生态系统服务构成重大威胁.
- 有效的预防和早期检测策略需要全面的,空间显式的数据集.
- 关于意大利保护区IAP的现有数据是分散的,缺乏整合.
研究的目的:
- 介绍PREVALIEN,一个新的PostgreSQL数据集,旨在预防和早期检测意大利保护区内的IAP.
- 整合来自欧洲和全球权威来源的各种生态和空间数据.
- 为生物入侵的多层次生态分析和风险建模提供强大的资源.
主要方法:
- 开发一个关系数据库 (PostgreSQL),整合41种血管植物和藻类的生态和空间数据.
- 包括来自意大利环境保护与研究研究所数据库的存在/缺席记录在国家公园边界内.
- 专家对数据进行验证,包括与风险评估进行交叉检查,并与公园当局协商.
主要成果:
- PREVALIEN涵盖了41个目标物种的分类学,特征,引入途径,影响和管理策略的详细信息.
- 数据集结构为34个关系表,方便复杂的生态分析.
- 数据验证确保了监测和政策制定的高质量和可靠性.
结论:
- 在国家外来入侵物种 (IAS) 监测中,PREVALIEN解决了关键数据缺口.
- 开放式访问数据集作为基于证据的政策和针对生物入侵的行动的基础.
- 它增强了欧洲脆弱的,富有生物多样性的景观的保护.
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