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Relationship of taxonomic error to frequency of observation
- Source :
- PLoS ONE, PLoS ONE, Vol 15, Iss 11, p e0241933 (2020)
- Publication Year :
- 2020
- Publisher :
- Public Library of Science, 2020.
-
Abstract
- Biological nomenclature is the entry point to a wealth of information related to or associated with living entities. When applied accurately and consistently, communication between and among researchers and investigators is enhanced, leading to advancements in understanding and progress in research programs. Based on freshwater benthic macroinvertebrate taxonomic identifications, inter-laboratory comparisons of >900 samples taken from rivers, streams, and lakes across the U.S., including the Great Lakes, provided data on taxon-specific error rates. Using the error rates in combination with frequency of observation (FREQ; as a surrogate for rarity), six uncertainty/frequency classes (UFC) are proposed for approximately 1,000 taxa. The UFC, error rates, FREQ each are potentially useful for additional analyses related to interpreting biological assessment results and/or stressor response relationships, as weighting factors for various aspects of ecological condition or biodiversity analyses and helping set direction for taxonomic research and refining identification tools.
- Subjects :
- 0106 biological sciences
Culture
Biodiversity
Social Sciences
Fresh Water
01 natural sciences
Beetles
Sociology
Statistics
Data Management
0303 health sciences
Multidisciplinary
Ecology
Eukaryota
Insects
Geography
Medicine
Identification (biology)
Research Article
Environmental Monitoring
Computer and Information Sciences
Bivalves
Arthropoda
Ecological Metrics
Science
010603 evolutionary biology
03 medical and health sciences
Rivers
Taxonomy (general)
Animals
Set (psychology)
Ecosystem
030304 developmental biology
Taxonomy
Diptera
Stressor
Ecology and Environmental Sciences
Organisms
Biology and Life Sciences
Species Diversity
Molluscs
Invertebrates
Weighting
Taxon
Gastropods
Zoology
Entomology
Subjects
Details
- Language :
- English
- ISSN :
- 19326203
- Volume :
- 15
- Issue :
- 11
- Database :
- OpenAIRE
- Journal :
- PLoS ONE
- Accession number :
- edsair.doi.dedup.....24001cae8662c3191cbaaede2143d853