Recommending plant taxa for supporting on-site species identification

BMC Bioinformatics
Hans Christian WittichPatrick Mäder

Abstract

Predicting a list of plant taxa most likely to be observed at a given geographical location and time is useful for many scenarios in biodiversity informatics. Since efficient plant species identification is impeded mainly by the large number of possible candidate species, providing a shortlist of likely candidates can help significantly expedite the task. Whereas species distribution models heavily rely on geo-referenced occurrence data, such information still remains largely unused for plant taxa identification tools. In this paper, we conduct a study on the feasibility of computing a ranked shortlist of plant taxa likely to be encountered by an observer in the field. We use the territory of Germany as case study with a total of 7.62M records of freely available plant presence-absence data and occurrence records for 2.7k plant taxa. We systematically study achievable recommendation quality based on two types of source data: binary presence-absence data and individual occurrence records. Furthermore, we study strategies for aggregating records into a taxa recommendation based on location and date of an observation. We evaluate recommendations using 28k geo-referenced and taxa-labeled plant images hosted on the Flickr website as...Continue Reading

References

Feb 17, 2000·Hearing Research·D M Prieskorn, J M Miller
May 17, 2006·Trends in Ecology & Evolution·Catherine H GrahamA Townsend Peterson
Oct 25, 2011·Trends in Ecology & Evolution·Walter JetzRobert P Guralnick
Nov 26, 2015·Science Advances·Gerardo CeballosTodd M Palmer
Apr 6, 2018·PLoS Computational Biology·Jana WäldchenPatrick Mäder
Jul 3, 2018·Archives of Computational Methods in Engineering : State of the Art Reviews·Jana Wäldchen, Patrick Mäder

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Citations

Mar 11, 2020·Cancer Research·Yvonne A EvrardUNKNOWN NCI PDXNet Consortium
Jun 20, 2020·Clinical Cancer Research : an Official Journal of the American Association for Cancer Research·Aline TalhoukMichael S Anglesio

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Software Mentioned

Plant
FloraWeb
Flickr
MaxEnt
GBIF
FLORKART
OpenMP
geq
MaxEnt SDM
Flickr API

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