Cited by 47Aquatic Ecosystems and Phytoplankton DynamicsEnvironmental and Sediment ControlFreshwater macroinvertebrate diversity and ecology

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Redundancy in the ecological assessment of lakes: Are phytoplankton, macrophytes and phytobenthos all necessary?

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Abstract

Although the Water Framework Directive specifies that macrophytes and phytobenthos should be used for the ecological assessment of lakes and rivers, practice varies widely throughout the EU. Most countries have separate methods for macrophytes and phytobenthos in rivers; however, the situation is very different for lakes. Here, 16 countries do not have dedicated phytobenthos methods, some include filamentous algae within macrophyte survey methods whilst others use diatoms as proxies for phytobenthos. The most widely-cited justification for not having a dedicated phytobenthos method is redundancy, i.e. that macrophyte and phytoplankton assessments alone are sufficient to detect nutrient impacts. Evidence from those European Union Member States that have dedicated phytobenthos methods supports this for high level overviews of lake condition and classification; however, there are a number of situations where phytobenthos may contribute valuable information for the management of lakes.

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Crossref · 10.1016/j.scitotenv.2016.02.024

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  • This focus may sometimes result in redundant information being collected on some aspects of systems, whilst generating limited understanding of socio-economic aspects or the contextual drivers on the system to be managed.

    “This may sometimes result in redundant information being collected on some aspects of systems (Kelly et al., 2016), whilst generating limited understanding of socio-economic aspects or the contextual drivers on the system to be managed”

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Research works printed but not linked: 34

  1. Barker, 2008, Effects of nitrate load on submerged plant biomass and species richness: results of a mesocosm experiment, Fundam. Appl. Limnol., 173, 89, 10.1127/1863-9135/2008/0173-0089 · DOI
  2. Battarbee, 2014, Recovery of UK lakes from acidification: an assessment using combined palaeoecological and contemporary diatom assemblage data, Ecol. Indic., 37, 365, 10.1016/j.ecolind.2012.10.024 · DOI
  3. DeNicola, 2014, The role of benthic algal communities in the ecological assessment of lakes, Freshwater Science, 33, 619, 10.1086/676117 · DOI
  4. Denys, 2006, Calibration of littoral diatoms to water chemistry in standing fresh waters (Flanders, lower Belgium): inference models for historical sediment assemblages, J. Paleolimnol., 35, 763, 10.1007/s10933-005-5459-5 · DOI
  5. Eigemann, 2016, Biological indicators track differential responses of pelagic and littoral areas to nutrient load reductions in German lakes, Ecol. Indic., 91, 905, 10.1016/j.ecolind.2015.10.045 · DOI
  6. European Union, 2002, Treaty on European Union (consolidated version), Official Journal of the European Communities C, 325, 5
  7. González Sagrario, M.A., Jeppersen, E., Gomà, J., Søndergaard, M., Peder Jensen, J., Lauridsen, T., Landkildhaus, F., 2005: 50, 27–41. · DOI
  8. Higgins, 2005, The wall of green: the status of Cladophora glomerata on the northern shores of Lake Erie's eastern basin, 1995–2002, J. Great Lakes Res., 31, 547, 10.1016/S0380-1330(05)70283-5 · DOI
  9. James, 2005, Nitrate availability and hydrophyte species richness in shallow lakes, Freshw. Biol., 50, 1049, 10.1111/j.1365-2427.2005.01375.x · DOI
  10. Jones, 2003, Does the fish-invertebrate-periphyton cascade precipitate plant loss in shallow lakes?, Ecology, 84, 2155, 10.1890/02-0422 · DOI
  11. Jones, 1989, Acidification of lakes in southwest Scotland: a diatom and pollen study of the post-glacial history of the Round Loch of Glenhead, J. Ecol., 77, 1, 10.2307/2260912 · DOI
  12. Kelly, 2014, Comparing aspirations: intercalibration of ecological status concepts across European lakes for littoral diatoms, Hydrobiologia, 734, 125, 10.1007/s10750-014-1874-9 · DOI
  13. Kelly, 2015, Customs, habits and traditions: the role of non-scientific factors in the development of ecological assessment methods, WIRES Water, 2, 159, 10.1002/wat2.1068 · DOI
  14. Lambert, 2008, Periphyton as an early indicator of perturbation in recreational lakes, Can. J. Fish. Aquat. Sci., 65, 258, 10.1139/f07-168 · DOI
  15. Lovett, 2007, Who needs environmental monitoring?, Front. Ecol. Environ, 5, 253, 10.1890/1540-9295(2007)5[253:WNEM]2.0.CO;2 · DOI
  16. Mischke, 2011, Using phytoplankton to assess the trophic status of German rivers, Int. Rev. Hydrobiol., 96, 578, 10.1002/iroh.201111304 · DOI
  17. Mjelde, 2013, A water level drawdown index for aquatic macrophytes in Nordic lakes, Hydrobiologia, 704, 141, 10.1007/s10750-012-1323-6 · DOI
  18. Moss, 2008, The Water Framework Directive: total environment or political compromise?, Sci. Total Environ., 400, 32, 10.1016/j.scitotenv.2008.04.029 · DOI
  19. Ostendorp, 2009, Effects of mooring management on submerged vegetation, sediments and macro-invertebrates in Lake Constance, Germany, Wetl. Ecol. Manag., 17, 525, 10.1007/s11273-008-9128-0 · DOI
  20. Pall, 2009, Austrian index macrophytes (AIM-Module 1) for lakes: a Water Framework Directive compliant assessment system for lakes using aquatic macrophytes, Hydrobiologia, 633, 83, 10.1007/s10750-009-9871-0 · DOI
  21. Parker, 2000, Biological response to lake remediation by phosphate stripping: control of Cladophora, Freshw. Biol., 44, 303, 10.1046/j.1365-2427.2000.00554.x · DOI
  22. Planas, 2000, Pelagic and benthic algal responses in eastern Canadian Boreal Shield lakes following harvesting and wildfires, Can. J. Fish. Aquat. Sci., 57, 136, 10.1139/f00-130 · DOI
  23. Poikane, 2014, Defining ecologically relevant water quality targets for lakes in Europe, J. Appl. Ecol., 51, 592, 10.1111/1365-2664.12228 · DOI
  24. Poikane, 2015, A hitchhiker's guide to European lake ecological assessment and intercalibration, Ecol. Indic., 52, 533, 10.1016/j.ecolind.2015.01.005 · DOI
  25. Resh, 2008, Which group is best? Attributes of different biological assemblages used in freshwater biomonitoring programs, Environ. Monit. Assess., 138, 131, 10.1007/s10661-007-9749-4 · DOI
  26. Rimet, 2015, Benthic diatoms and phytoplankton to assess nutrients in a large lake: complementarity of their use in Lake Geneva (France-Switzerland), Ecol. Indic., 53, 231, 10.1016/j.ecolind.2015.02.008 · DOI
  27. Rimet, 2016, Spatial heterogeneity of littoral benthic diatoms in a large lake: monitoring implications, Hydrobiologia, 10.1007/s10750-015-2629-y · DOI
  28. Rosenberger, 2008, Effects of shoreline development on the nearshore environment in large deep oligotrophic lakes, Freshw. Biol., 53, 1673, 10.1111/j.1365-2427.2008.01990.x · DOI
  29. Schaumburg, 2004, Macrophytes and phytobenthos as indicators of ecological status in German lakes—a contribution to the implementation of the Water Framework Directive, Limnologica, 34, 302, 10.1016/S0075-9511(04)80003-3 · DOI
  30. Schmieder, 2004, Effects of water level variations on the dynamics of the reed belts of Lake Constance, Ecohydrol. Hydrobiol., 4, 469
  31. Schneider, 2012, Do macrophytes, diatoms and nondiatom benthic algae give redundant information? Results from a case study in Poland, Limnologica, 42, 204, 10.1016/j.limno.2011.12.001 · DOI
  32. Spitale, 2014, Urbanization effects on shoreline phytobenthos: a multiscale approach at lake extent, Aquat. Sci., 76, 17, 10.1007/s00027-013-0307-6 · DOI
  33. Trobajo, 2002, Model of alternative predominance of phytoplankton-periphyton-macrophytes in lentic waters of Mediterranean coastal wetlands, Arch. Hydrobiol., 154, 19, 10.1127/archiv-hydrobiol/154/2002/19 · DOI
  34. Wimsatt, 1994, The ontology of complex systems: levels of organization, perspectives and causal thickets, Can. J. Philos., 24, 207

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Metadata

Authors
Kelly, M. G., Birk, S., Willby, N. J., Denys, L., Drakare, S., Kahlert, M., Karjalainen, S. M., Marchetto, A., Pitt, J.-A., Urbanič, G., & Poikane, S.
Affiliations
  • University of Duisburg-Essen (DE)
  • University of Stirling (GB)
  • Research Institute for Nature and Forest (BE)
  • Swedish University of Agricultural Sciences (SE)
  • Finnish Environment Institute (FI)
  • Institute of Ecosystem Study (IT)
  • Environment Agency (GB)
  • University of Ljubljana (SI)
Venue
Science of The Total Environment
Publisher
Elsevier BV
Published
2016-10
Volume
568
Pages
594-602
ISSN
0048-9697 (ISSN-L)
OpenAlex
W2279526804
Cited by
47
References
1
Citations by year
2026: 1 · 2023: 3 · 2022: 4 · 2021: 7 · 2020: 14 · 2019: 8 · 2018: 5 · 2017: 3 · 2016: 2
FWCI
3.92
Type
journal article
Language
en
Open access
Locations
  • The Science of The Total Environment (publishedVersion, cc-by-nc-nd)
  • PubMed (publishedVersion)
  • Stirling Online Research Repository (University of Stirling) (submittedVersion, cc-by-nc-nd)
  • Joint Research Centre (European Commission) (submittedVersion)
Funders
European Commission
Topics
  • Physical Sciences › Environmental Science › Environmental Chemistry › Aquatic Ecosystems and Phytoplankton Dynamics
  • Physical Sciences › Environmental Science › Management, Monitoring, Policy and Law › Environmental and Sediment Control
  • Physical Sciences › Environmental Science › Ecology › Freshwater macroinvertebrate diversity and ecology
Keywords
benthic algae, aquatic plants, phytoplankton, Water Framework Directive, lake classification, filamentous algae, lake management, EU member states
MeSH terms
Environmental Monitoring, European Union, Eutrophication, Models, Theoretical, Phytoplankton, Seaweed, Diatoms, Ecosystem, Lakes, Water Quality

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