Center for Geospatial Analytics, North Carolina State University, Raleigh, North Carolina, USA.
Sci Data. 2024 Sep 11;11(1):991. doi: 10.1038/s41597-024-03824-w.
Monitoring and managing the global spread of invasive and alien species requires accurate spatiotemporal records of species presence and information about the biological characteristics of species of interest including life cycle information, biotic and abiotic constraints and pathways of spread. The Global Invasive and Alien Traits And Records (GIATAR) dataset provides consolidated dated records of invasive and alien presence at the country-scale combined with a suite of biological information about pests of interest in a standardized, machine-readable format. We provide dated presence records for 46,666 alien taxa in 249 countries constituting 827,300 country-taxon pairs in locations where the taxon's invasive status is either alien, invasive, or unknown, joined with additional biological information for thousands of taxa. GIATAR is designed to be quickly updateable with future data and easy to integrate into ongoing research on global patterns of alien species movement using scripts provided to query and analyze data. GIATAR provides crucial data needed for researchers and policymakers to compare global invasion trends across a wide range of taxa.
监测和管理入侵和外来物种的全球传播需要准确的物种存在时空记录，以及有关目标物种的生物学特征信息，包括生命周期信息、生物和非生物限制以及传播途径。全球入侵和外来特征及记录 (GIATAR) 数据集以标准化、机器可读的格式提供了在国家范围内综合的入侵和外来物种存在的有日期记录，以及关于感兴趣害虫的一系列生物学信息。我们提供了 249 个国家的 46,666 个外来分类群的有日期存在记录，这些记录由 827,300 个国家-分类群对组成，这些分类群在其入侵状态为外来、入侵或未知的地点存在，同时还提供了数千个分类群的额外生物学信息。GIATAR 的设计目的是能够快速更新未来的数据，并通过提供的脚本轻松集成到关于外来物种运动全球模式的正在进行的研究中，以查询和分析数据。GIATAR 为研究人员和政策制定者提供了比较广泛的分类群的全球入侵趋势所需的关键数据。
