RRC ID 68343
Author Tianxiao Hao, Jane Elith, Gurutzeta Guillera-Arroita, José J. Lahoz-Monfort, Tom W. May
Title Enhancing repository fungal data for biogeographic analyses
Journal Fungal Ecology
Abstract Open-access occurrence data are useful for studying spatial patterns of fungi, but often have quality issues. These include errors in taxonomy and geo-coordinates, and incomplete coverage across areas and taxonomic groups. We identify 15 quality issues that can lead to incorrect biogeographic inference, and develop a reproducible pipeline that flags and removes problematic entries. This pipeline tests accuracy of geographic records and names. Then, if information on non-native status is unavailable or unreliable, it detects non-native species via a predictive model. Finally, it identifies spatial and environmental outliers and removes them when biologically improbable. We test the pipeline by cleaning data for Australian fungi, with 251,642 records retained after cleaning the initial 1,034,601 records. Exploratory analysis showed that the cleaned data is useful for analyses such as biogeographic regionalisation, but recording gaps and lack of saturation in collection effort also caution that more surveys are needed to improve collection completeness.
Volume 53
Pages 101097
Published 2021-8-4
DOI 10.1016/j.funeco.2021.101097
GBIF Rust fungus specimen of Research Group of Plant Parasitic Mycology, Faculty of Life and Environmental Sciences, University of Tsukuba Fungal Specimens of National Museum of Nature and Science (TNS)