ArticleApplications in plant sciences
expowo: An R package for mining global plant diversity and distribution data.
Article in Applications in plant sciences. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
7 citing papers in PubMed.
- refloraR: An R package for efficiently retrieving and analyzing plant specimen data from the Herbário Virtual Reflora.Applications in plant sciences · 2026Article
- Species-specific thermal thresholds for postdispersal embryo growth in Apiaceae.American journal of botany · 2026Article
- Can Ecological Niche Modeling of Prickly Juniper (Plants (Basel, Switzerland) · 2026Article
- The role of ecological niche and seed mass in macroevolution of germination tolerance to salinity.Annals of botany · 2026Article
- Distribution, Phytochemical Insights, and Cytotoxic Potential of thePharmaceuticals (Basel, Switzerland) · 2025Review
- expowo: An R package for mining global plant diversity and distribution data.Applications in plant sciencesArticle
- florabr: An R package to explore and spatialize species distribution using Flora e Funga do Brasil.Applications in plant sciencesArticle
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Premise: Data on plant distribution and diversity from natural history collections and taxonomic databases are increasingly becoming available online as exemplified by the Royal Botanic Gardens, Kew's Plants of the World Online (POWO) database. This growing accumulation of biodiversity information requires an advance in bioinformatic tools for accessing and processing the massive data for use in downstream science. We present herein expowo, an open-source package that facilitates extracting and using botanical data from POWO. Methods and Results: The expowo package is implemented in R and designed to handle the entire vascular plant tree of life. It includes functions to readily distill taxonomic and distributional information about all families, genera, or species of vascular plants. It outputs a complete list of species in each genus of any plant family, with the associated original publication, synonyms, and distribution, and plots global maps of species richness at the country and botanical country levels, as well as graphs displaying species-discovery accumulation curves and nomenclatural changes over time. To demonstrate expowo's strengths in producing easy-to-handle outputs, we also show empirical examples from a set of biodiverse countries and representative species-rich and ecologically important angiosperm families. Conclusions: By harnessing bioinformatic tools that accommodate varying levels of R programming proficiency, expowo functions assist users who have limited R programming expertise in efficiently distilling specific botanical information from online sources and producing maps and graphics for the further interpretation of biogeographic and taxonomic patterns.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.