Data quality, performance, and uncertainty in taxonomic identification for biological assessments
By J. Stribling, K. L. Pavlik, S. Holdsworth, Erik W Leppo. Journal of The North American Benthological Society, 2008
97 citations recorded by the source corpus.
Subfields: Ecology, Nature and Landscape Conservation
View Paper: https://www.semanticscholar.org/paper/72bfe5c0b2d68916df8fee177ec31f34eff9cbad
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Ecology
- E. García‐Berthou
- G. Nicola
- A. Almodóvar
- L. Benejam
- Raphael K. Didham
- Mehrdad Hajibabaei
- Jörg C Müller
- J. Gibson
In Nature and Landscape Conservation
- G. Nicola
- E. García‐Berthou
- A. Almodóvar
- L. Benejam
- Raphael K. Didham
- Jörg C Müller
- L. Packer
- Simon R. Leather
Citations in the corpus
- Can DNA barcodes of stream macroinvertebrates improve descriptions of community structure and water quality? (2011, background): “Also, identification errors appear to be relatively common, even at the genus level (e.g., 10–20%; Stribling et al. 2008).”
- Chironomids as indicators in freshwater ecosystems: an assessment of the literature (2015, background): “…in Chironomidae species assemblages in the southern regions as the lack of well-catalogued fauna and recognised taxonomic experts, which comprise much better documentation that allow description of the most species and quick recognition of many (Stribling et al., 2008; Greffard et al., 2011).”
- Interpreting insect declines: seven challenges and a way forward (2020, background): “, 2019), in spite of some caution that has been raised about data quality, repeatability and taxonomic identification (Stribling et al., 2008; Kremen et al., 2011; Falk et al., 2019).”
- Identifying North American freshwater invertebrates using DNA barcodes: are existing COI sequence libraries fit for purpose? (2018, background): “Disagreements in taxonomic assignment based onmorphology can occur between taxonomists, often at high rates for difficult-to-identify groups (Stribling et al. 2008), so identification usually is limited to a taxonomic level at which quality can be controlled.”
- Effective monitoring of freshwater fish (2019, background): “These studies reinforce the importance of adequate training and experience, documentation of standard procedures, and routine quality control (Stribling et al., 2003, 2008).”