A5052825170- Data Analysis with R
- Species Distribution and Climate Change
- Plant Diversity and Evolution
- Plant and animal studies
- Fern and Epiphyte Biology
- Plant Taxonomy and Phylogenetics
- Ecology and Vegetation Dynamics Studies
- Isotope Analysis in Ecology
- Botanical Studies and Applications
University of Alaska Fairbanks
2025
University of Göttingen
2021-2023
Institute of Forest Ecology of the Slovak Academy of Sciences
2021
Digital point-occurrence records from the Global Biodiversity Information Facility (GBIF) and other data providers enable a wide range of research in macroecology biogeography. However, errors may hamper immediate use. Manual cleaning is time-consuming often unfeasible, given that databases contain thousands or millions records. Automated pipelines are therefore high importance. Taking North American
Abstract Premise Pteridophytes—vascular land plants that disperse by spores—are a powerful system for studying plant evolution, particularly with respect to the impact of abiotic factors on evolutionary trajectories through deep time. However, our ability use pteridophytes investigate such questions—or capitalize ecological and conservation‐related applications group—has been impaired relative isolation neo‐ paleobotanical research communities absence large‐scale biodiversity data sources....
Synonyms are part of the scientific progression in taxonomy and nomenclature reflect evolving knowledge about species based on revisionary systematics.However, synonyms frequently cause problems biodiversity repositories, so understanding causes variation botanical is essential.Recent studies attribute to intrinsic extrinsic drivers, such as nomenclature, taxonomic group membership (e.g., orchids), age accepted name.Here, we examine drivers for a large global subset all angiosperms.Across...
Digital point-occurrence records from the Global Biodiversity Information Facility (GBIF) and other repositories enable a wide range of research in macroecology biogeography. However, data errors may hamper immediate use. Manual cleaning is time-consuming often unfeasible, given that databases contain thousands or millions records. Automated pipelines are therefore high importance. This study examined extent to which cleaned six using tools (e.g., GBIF web application, different R packages)...