GIATAR:全球入侵性和外来物种及其特征的时空数据集
Ariel Saffer1, Thom Worm2, Yu Takeuchi3
1Center for Geospatial Analytics, North Carolina State University, Raleigh, North Carolina, USA. asaffer@ncsu.edu.
Scientific data
|September 11, 2024
概括
全球侵入性和外来特征和记录 (GIATAR) 数据集提供了关于外来物种存在和生物特征的全面,机器可读的数据. 该资源帮助研究人员和政策制定者在全球范围内追踪和管理入侵物种.
科学领域:
- 生态生态学 生态生态学
- 环境科学 环境科学
- 生物多样性研究 生物多样性研究
背景情况:
- 对入侵性和外来物种的有效管理需要准确的时间空间数据来确定它们的存在.
- 了解物种的生命周期,环境约束和传播途径对于预测和减轻入侵至关重要.
研究的目的:
- 为了引入全球侵入性和外来特征和记录 (GIATAR) 数据集.
- 为入侵性和外来物种数据提供一个整合,标准化和机器可读的资源.
- 促进对外来物种流动的全球研究,并为政策决策提供信息.
主要方法:
- 在国家范围内统一侵袭性和外来物种存在的日期记录.
- 生物信息的整合,包括生命周期,约束和成千上万种类型的传播途径.
- 将数据标准化成机器可读的格式,方便整合和分析.
主要成果:
- 吉亚塔数据集包含249个国家的46,666种外来种类的日期存在记录.
- 这构成了827,300个国家分类对,详细说明了外来,入侵或未知的入侵状态.
- 包含了数千种类型的额外生物数据,增强了数据集的实用性.
结论:
- GIATAR为全球入侵物种研究提供了一个至关重要的,可更新的资源.
- 数据集使研究人员和政策制定者能够比较不同种类的入侵趋势.
- 它支持改善全球外来物种和入侵物种的监测和管理策略.
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