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Diatom Research Volume 12, 1997 - Issue 2
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Original Articles

SOURCES OF COUNTING ERROR IN ESTIMATIONS OF THE TROPHIC DIATOM INDEX

Martyn Kelly Bowburn Consultancy, 23 Clarence Street, Bowburn, Durham, DH6 5BB, UK
Pages 255-262 | Published online: 31 Oct 2011

Citations (5)

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Andrew Cherrill. (2016) Inter-observer variation in habitat survey data: investigating the consequences for professional practice. Journal of Environmental Planning and Management 59:10, pages 1813-1832.
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Articles from other publishers (4)

Nathan J. Smucker, Erik M. Pilgrim, Christopher T. Nietch, John A. Darling & Brent R. Johnson. (2020) DNA metabarcoding effectively quantifies diatom responses to nutrients in streams. Ecological Applications 30:8.
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A.F. Torres-Franco, G.R. Alatrista-Góngora, N.P. Guzmán-Rodríguez, J.A. Calizaya-Anco, C.R. Mota & C.C. Figueredo. (2019) Physicochemical and diatom trophic state indexes: A complementary approach for improving water sustainability in a high Andean urban stream. Ecohydrology & Hydrobiology 19:4, pages 577-587.
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Maria Kahlert, Éva Ács, Salome F. P. Almeida, Saúl Blanco, Mirko Dreßler, Luc Ector, Satu Maaria Karjalainen, Antonia Liess, Adrienne Mertens, Jako van der Wal, Sirje Vilbaste & Petra Werner. (2016) Quality assurance of diatom counts in Europe: towards harmonized datasets. Hydrobiologia 772:1, pages 1-14.
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M.G Kelly. (2001) Use of similarity measures for quality control of benthic diatom samples. Water Research 35:11, pages 2784-2788.
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