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一个用于快速生成基于地点的物种清单的Shiny应用程序和R包。

: A Shiny application and R package for rapid generation of place-based species checklists.

作者信息

Mesaglio Thomas, Kar Fonti, Sauquet Hervé, Cornwell William K

机构信息

Evolution and Ecology Research Centre, School of Biological, Earth and Environmental Sciences UNSW Sydney Sydney New South Wales Australia.

CSIRO Atlas of Living Australia Sydney New South Wales Australia.

出版信息

Appl Plant Sci. 2025 Jun 4;13(3):e70012. doi: 10.1002/aps3.70012. eCollection 2025 May-Jun.

Abstract

PREMISE

Biodiversity researchers often need to answer the question: "Which species of taxon X have been documented in (or near) spatial polygon Y?" Online databases with billions of occurrence records, including vouchered specimens and citizen science records, can provide the answer; however, quick spatial processing of huge biodiversity datasets can be difficult, and many general-purpose tools are constrained by dataset size.

METHODS AND RESULTS

is a Shiny application and R package that allows users to generate species checklists for a user-specified taxon and area. It downloads taxon-country datasets (e.g., Madagascan geckos) from biodiversity data providers and uses an open source, column-oriented data file for fast retrieval and visualization. Available as a mobile-friendly web tool with preloaded data, it can also be run locally in R for very flexible applications.

CONCLUSIONS

is an easy-to-use tool with applications including supplementing survey data, planning collecting expeditions, and informing gap-filling. is a complementary tool to existing databases to help field ecologists and naturalists globally.

摘要

前提

生物多样性研究人员常常需要回答这样一个问题:“在空间多边形Y(或其附近)记录了哪些分类群X的物种?”拥有数十亿条出现记录的在线数据库,包括凭证标本和公民科学记录,可以提供答案;然而,对庞大的生物多样性数据集进行快速空间处理可能很困难,而且许多通用工具受到数据集大小的限制。

方法与结果

是一个Shiny应用程序和R包,允许用户为用户指定的分类群和区域生成物种清单。它从生物多样性数据提供者那里下载分类群-国家数据集(例如马达加斯加壁虎),并使用一个开源的、面向列的数据文件进行快速检索和可视化。它作为一个预加载数据的移动友好型网络工具提供,也可以在R中本地运行以实现非常灵活的应用。

结论

是一个易于使用的工具,其应用包括补充调查数据、规划采集探险以及为填补空白提供信息。是现有数据库的一个补充工具,以帮助全球的野外生态学家和博物学家。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c901/12188619/12c3fb54319d/APS3-13-e70012-g001.jpg

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