Key Biodiversity Areas (KBAs) represent the largest global network of sites critical to the persistence of biodiversity, which have been identified against standardised quantitative criteria. Sites that hold very high biodiversity value or potential are given specific attention on site-based conservation targets of the Kunming-Montreal Global Biodiversity Framework (GBF), and KBAs are already used in indicators for the GBF and the Sustainable Development Goals. However, most of the species that trigger KBA status are birds and to maximise benefits for biodiversity under the actions taken to fulfil the GBF, countries need to update their KBAs to represent important sites across multiple taxa. Here we introduce KBAscope, an R package to identify potential KBAs using multiple taxonomic groups. KBAscope provides flexible, user-friendly functions to edit species data (population, range maps, area of occupancy, area of habitat and localities); apply KBA criteria; and generate outputs to support the delineation and validation of KBAs. The details of the analysis – such as the spatial units tested or the KBA criteria applied – can be decided according to the scope of the analysis. We demonstrate the functionality of KBAscope by using it to identify potential KBAs in Greece based on multiple terrestrial taxonomic groups and four sizes of grid cells (4 km², 25 km², 100 km², 225 km²).

中文翻译：

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KBAscope：R 中的关键生物多样性区域识别


关键生物多样性区域 (KBA) 是全球最大的对生物多样性持久性至关重要的地点网络，这些地点是根据标准化定量标准确定的。具有极高生物多样性价值或潜力的地点在昆明-蒙特利尔全球生物多样性框架（GBF）的基于地点的保护目标中受到特别关注，并且KBA已被用于GBF和可持续发展目标的指标中。然而，大多数触发 KBA 地位的物种是鸟类，为了在实现 GBF 的行动下最大限度地提高生物多样性的效益，各国需要更新其 KBA 以代表多个分类单元的重要地点。在这里，我们介绍 KBAscope，一个 R 包，用于使用多个分类组来识别潜在的 KBA。 KBAscope 提供灵活、用户友好的功能来编辑物种数据（种群、范围图、占用面积、栖息地面积和地点）；应用 KBA 标准；并生成输出以支持 KBA 的描述和验证。分析的细节——例如测试的空间单元或应用的KBA标准——可以根据分析的范围来决定。我们通过使用 KBAscope 根据多个陆地分类群和四种大小的网格单元（4 km ² 、25 km ² 、100 km ² 、225 km ² ）来识别希腊潜在的 KBA 来展示 KBAscope 的功能。