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Type: Articles
Published: 2009-09-02
Page range: 43–55
Abstract views: 78
PDF downloaded: 66

Accelerating taxonomic discovery through automated character extraction

CSIRO Entomology, GPO Box 1700, Canberra, ACT, 2601, Australia
International Institute for Species Exploration, School of Life Sciences, Arizona State University, PO Box 876505, Tempe, Arizona, 85287-6505, USA
CSIRO Mathematical and Information Sciences, Queensland Bioscience Precinct, 306 Carmody Road, St Lucia, Queensland, 4067, Australia
University of Queensland Insect Collection, School of Biological Science, University of Queensland, St Lucia, Queensland, 4072, Australia
Atlas of Living Australia, CSIRO Entomology, GPO Box 1700, Canberra, ACT, 2601, Australia
CSIRO Mathematical and Information Sciences, GPO Box 664, ACT, 2601, Australia
General taxonomy taxonomic impediment automated character extraction image analysis feature extraction pattern recognition

Abstract

This paper discusses the following key messages. Taxonomy is (and taxonomists are) more important than ever in times of global change. Taxonomic endeavour is not occurring fast enough: in 250 years since the creation of the Linnean Systema Naturae, only about 20% of Earth’s species have been named. We need fundamental changes to the taxonomic process and paradigm to increase taxonomic productivity by orders of magnitude. Currently, taxonomic productivity is limited principally by the rate at which we capture and manage morphological information to enable species discovery. Many recent (and welcomed) initiatives in managing and delivering biodiversity information and accelerating the taxonomic process do not address this bottleneck. Development of computational image analysis and feature extraction methods is a crucial missing capacity needed to enable taxonomists to overcome the taxonomic impediment in a meaningful time frame.

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