https://doi.org/10.4081/jlimnol.2023.2151
A procedure to update quality indices based on species abundances: an example using the EPI-L diatom index
Submitted: 26 July 2023
Accepted: 27 October 2023
Published: 20 November 2023
Accepted: 27 October 2023
Abstract Views: 983
PDF: 200
Supplementary Tab. S1: 58
Supplementary Tab. S2: 60
HTML: 7
Supplementary Tab. S1: 58
Supplementary Tab. S2: 60
HTML: 7
Publisher's note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
Authors
We propose a procedure to update ecological quality indices using species autoecology estimated by gradient analysis when new species are found, or taxonomy is updated. When updating an index, the new values must be comparable to the old ones to avoid recalibration and quality class boundary changes. As gradient length influences the values of the species optima, we propose to avoid adding new species to existing lists and we suggest recalibrating the index with a new calibration dataset and rescaling species optima. This final step reduces index updating-induced quality classification changes. An example is shown using the EPI-L diatom index, a quality index for lakes affected by trophic pressure.
Birk S, Bonne W, Borja A, Brucet S, Courrat A, Poikane S, et al., 2012. Three hundred ways to assess Europe’s surface waters: An almost complete overview of biological methods to implement the Water Framework Directive. Ecol Indic 18:31-41.
DOI: https://doi.org/10.1016/j.ecolind.2011.10.009
Birk S, Willby NJ, Kelly MG, Bonne W, Borja A, Poikane S, van de Bund W, 2013. Intercalibrating classifications of ecological status: Europe's quest for common management objectives for aquatic ecosystems. Sci Total Environt 454-455:490-499.
DOI: https://doi.org/10.1016/j.scitotenv.2013.03.037
European Commission, 2000. Directive 2000/60/EC of the European Parliament and of the Council of 23 October 2000 establishing a framework for Community action in the field of water policy. OJ L 327, 22.12.2000, p. 1-73. Available from: https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=celex%3A32000L0060
European Commission, 2018. Commission Decision (EU) 2018/229 of 12 February 2018 establishing, pursuant to Directive 2000/60/EC of the European Parliament and of the Council, the values of the Member State monitoring system classifications as a result of the intercalibration exercise and repealing Commission Decision 2013/480/EU. OJ L 47, 20.2.2018, p. 1-91. Available from: https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX%3A32018D0229
Kelly MG, Whitton BA, 1995. The Trophic Diatom Index: a new index for monitoring eutrophication in rivers. J Appl Phycol 7:433-444.
DOI: https://doi.org/10.1007/BF00003802
Marchetto A, 1994. Rescaling species optima estimated by weighted averaging. J Paleolimnol 12:155-162.
DOI: https://doi.org/10.1007/BF00678091
Marchetto A, Bracchi S, Buzzi F, Carena E, Cavalieri S, Cimoli F, et al., 2013. [Indice per valutazione della qualità delle acque lacustri italiane a partire dalle diatomee epifitiche ed epilitiche (EPI-L)], p. 75-92. In: A. Marchetto (ed.), [Indici per la valutazione della qualità ecologica dei laghi]. [Report in Italian]. Report CNR-ISE 02-13. Available from: http://www.vb.irsa.cnr.it/it/wfd
Potapova MG, Charles DF, Ponader HC, Winter DM, 2004. Quantifying species indicator values for trophic diatom indices: a comparison of approaches. Hydrobiologia 517:25-41.
DOI: https://doi.org/10.1023/B:HYDR.0000027335.73651.ea
Salmaso N, Morabito G, Buzzi F, Garibaldi L, Simona M, Mosello RT, 2006. Phytoplankton as an indicator of the water quality of the deep lakes south of the Alps. Hydrobiologia 563:167-187.
DOI: https://doi.org/10.1007/s10750-005-0003-1
Sgro GV, Reavie ED, Kingston C, Kireta AM, Ferguson MJ, Danz NP, Johansen JR, 2007. A diatom quality index from a diatom-based total phosphorus inference model. Environ Bioindicat 2:15-34.
DOI: https://doi.org/10.1080/15555270701263234
ter Braak CJF, Looman CWN, 1986. Weighted averaging, logistic regression and the Gaussian response model. Vegetatio 65:3-11.
DOI: https://doi.org/10.1007/BF00032121
ter Braak CJF, van Dam H, 1989. Inferring pH from diatoms: a comparison of old and new calibration methods. Hydrobiologia 178:209-223.
DOI: https://doi.org/10.1007/BF00006028
Zelinka M, Marvan P, 1961. [Zur Präzisierung der biologischen Klassifikation der Reinheit fließender Gewässer].[Article in German]. Arch Hydrobiol 57:389-407.
Edited by
Michela Rogora, National Research Council, Water Research Institute (CNR-IRSA), Verbania Pallanza, ItalySupporting Agencies
National Biodiversity Future Center, Palermo, Italy , Italian National Research Council, Italian Ministry of University and ResearchHow to Cite
Marchetto, Aldo, and Simona Musazzi. 2023. “A Procedure to Update Quality Indices Based on Species Abundances: An Example Using the EPI-L Diatom Index”. Journal of Limnology 82 (1). https://doi.org/10.4081/jlimnol.2023.2151.
Copyright (c) 2023 The Author(s)
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Similar Articles
- Hongliang Zhang, Jinglu Wu, Long Ma, Shuie Zhan, Miao Jin, Zhangdong Jin , Sediment biomarkers record hydrological and anthropogenic-driven environmental changes since 1800 AD in the Ili-Balkhash Basin, arid Central Asia , Journal of Limnology: Vol. 83 (2024)
- Kenneth W. Cummins, Combining taxonomy and function in the study of stream macroinvertebrates , Journal of Limnology: Vol. 75 No. s1 (2016): Proceedings of the 6th National Congress of Limnology
- Barbara Fiasca, Fabio Stoch, Marie-Josè Olivier, Chafik Maazouzi, Marco Petitta, Alessia Di Cioccio, Diana M.P. Galassi, The dark side of springs: what drives small-scale spatial patterns of subsurface meiofaunal assemblages? , Journal of Limnology: Vol. 73 No. 1 (2014)
- Paul LOGAN, Ecological quality assessment of rivers and integrated catchment management in England and Wales , Journal of Limnology: Vol. 60 No. s1 (2001): Scientific and legal aspects of biological monitoring in freshwater
- María Antonia Rodrigo, Adriana García, Allan R. Chivas, Carbon stable isotope composition of charophyte organic matter in a small and shallow Spanish water body as a baseline for future trophic studies , Journal of Limnology: Vol. 75 No. 2 (2016)
- Cristiana Callieri, Emanuele Caravati, Gianluca Corno, Roberto Bertoni, Picocyanobacterial community structure and space-time dynamics in the subalpine Lake Maggiore (N. Italy) , Journal of Limnology: Vol. 71 No. 1 (2012)
- Joaquín Hortal, João C. Nabout, Joaquín Calatayud, Fernanda M. Carneiro, André Padial, Ana M. C. Santos, Tadeu Siqueira, Folmer Bokma, L. Mauricio Bini, Marc Ventura, Perspectives on the use of lakes and ponds as model systems for macroecological research , Journal of Limnology: Vol. 73 No. s1 (2014): Limnology in the 21st Century: celebrating 75 years of ecological research in Pallanza
- Behnam Zamani, Manfred Koch, Ben R. Hodges, Effects of morphology in controlling propagation of density currents in a reservoir using uncalibrated three-dimensional hydrodynamic modeling , Journal of Limnology: Vol. 79 No. 3 (2020)
- Itzel Sigala Regalado, Socorro Lozano García, Liseth Pérez Alvarado, Margarita Caballero, Alfonso Lugo Vázquez, Ecological drivers of testate amoeba diversity in tropical water bodies of central Mexico , Journal of Limnology: Vol. 77 No. 3 (2018)
- Lyudmila Kamburska, Diego Fontaneto, Michela Rogora, Dmitry Schigel, Preface: Georeferenced Freshwater Biodiversity Data , Journal of Limnology: Vol. 82 No. s1 (2023): Georeferenced freshwater biodiversity data
<< < 23 24 25 26 27 28 29 30 31 32 > >>
You may also start an advanced similarity search for this article.
