Harmonising digitised herbarium data to enhance biodiversity knowledge: Major steps towards an updated checklist for the flora of Greenland

作者：Brandon Samuel Whitley, Jakob Abermann, Inger Greve Alsos, Elisabeth M. Biersma, Viktor Gårdman, Toke T. Høye, Laura Jones, Nora Khelidj, Zhao Li, Gianalberto Losapio, Thomas Pape, Katrine Raundrup, Paula Schmitz, Tiago Silva, Helena Wirta, Tomas Roslin, Natalie Iwanycki Ahlstrand, Natasha de Vere · 发表于：Plants People Planet · 年份：2025 · DOI：10.1002/ppp3.70044 · 被引用次数：5 · 研究领域：Lichen and fungal ecology、Botany and Plant Ecology Studies、Species Distribution and Climate Change

Societal Impact Statement Herbaria worldwide hold centuries of plant data that are key to understanding and protecting biodiversity; however, even with increased digital access, differences in plant naming systems make it difficult to compare records. We developed a semi‐automated workflow that standardises species names and organises herbaria records from multiple institutions into a single, curated digital collection. Applying our workflow to the digitised flora of Greenland, we improved the accuracy of diversity estimates and highlighted tentative species previously unrecognised in Greenland. Our resulting open‐access resource opens new doors for large‐scale studies on Arctic plant diversity over space and time. Summary International efforts in digitisation and online data sharing of herbarium specimens are revolutionising our ability to obtain big data from herbarium collections. The herbaria of the future will be global, digitally interlinked, open‐access resources that will stimulate large‐scale and novel science to directly address our current biodiversity and climate crises. However, taxonomic changes and errors can result in inconsistencies when amalgamating specimen metadata, that compromise the assignment of occurrence records to correct species and the subsequent interpretation of patterns in biodiversity. We present a novel workflow to mass‐curate digital specimens. By employing existing digital taxonomic backbones, we aggregate specimen names by their accepted n...