Journal of Paleolimnology

, Volume 54, Issue 2–3, pp 171–188 | Cite as

Benthic diatoms in a Mediterranean delta: ecological indicators and a conductivity transfer function for paleoenvironmental studies

  • Xavier Benito
  • Rosa Trobajo
  • Carles Ibáñez
Original paper


The contemporary distribution of benthic diatoms and their use as ecological indicators were examined in a coastal wetland, the Ebro Delta, as a representative of environmental conditions in Mediterranean coastal wetlands. A total of 424 diatom taxa were identified across 24 sites encompassing a wide range of wetland habitat types (coastal lagoons, salt and brackish marshes, shallow bays, microbial mats and nearshore marine waters) and conductivities. Canonical correspondence analysis showed that water conductivity and water depth were the main factors structuring the diatom assemblages. Cluster analysis identified five habitat types according to the similarity in diatom species composition: salt marshes, brackish marshes, brackish coastal lagoons and bays, coastal lagoons with fresher conditions, and nearshore open sea. For each wetland habitat, diatom indicator species were identified. Partial canonical correspondence analysis showed that water conductivity, a proxy for salinity, was the most statistically significant and independent variable for explaining the distribution of benthic diatoms in the study area. A transfer function, using a weighted average regression model, was developed for conductivity and displayed reasonable performance (r 2 = 0.64; RMSEP = 0.302 log10 mS/cm). Our study in the Ebro Delta provides a basis for using diatom assemblages to make quantitative conductivity inferences, and for using diatom indicator species to identify wetland habitats. These approaches are complementary and may be valuable for paleoenvironmental studies of (1) effects of large-scale, natural changes in the Delta (e.g. sea-level fluctuations), and (2) impacts of short-term anthropogenic changes, such as the introduction and development of rice agriculture.


Coastal wetlands Diatoms Ebro Delta Habitats Indicator species Paleoecology 



This research was supported by an IRTA-URV-Santander fellowship to Xavier Benito Granell through “BRDI Trainee Research Personnel Programme funded by University of Rovira and Virgili R+D+I projects.” The work described in this publication was also supported by the European Community’s Seventh Framework Programme through a Grant to the budget of the Collaborative Project RISES-AM, Contract FP7-ENV-2013-two-stage-603396. The authors thank IRTA technicians Lluís Jornet and David Mateu for field support, Prof. Andrzej Witkowski (University of Szczecin) for help with diatom taxonomic identification and Dr. David G. Mann (Royal Botanic Garden Edinburgh and IRTA) for his very constructive comments and for English revision. We are also grateful for the valuable advice made by two anonymous reviewers and the Associate Editor (Prof. S. Metcalfe) in improving an initial version of this manuscript.

Supplementary material

10933_2015_9845_MOESM1_ESM.doc (74 kb)
Supplementary material 1 (DOC 74 kb)
10933_2015_9845_MOESM2_ESM.doc (484 kb)
Supplementary material 2 (DOC 484 kb)


  1. Álvarez-Blanco I, Blanco S (2014) Benthic diatoms from Mediterranean coasts. In: Lange-Bertalot H, Kociolek P (eds) Bibliotheca Diatomologica, vol 60. J. Cramer, StuttgartGoogle Scholar
  2. Battarbee RW, Monteith DT, Juggins S, Evans CD, Jenkins A, Simpson GL (2005) Reconstructing pre-acidification pH for an acidified Scottish loch: a comparison of palaeolimnological and modelling approaches. Environ Pollut 137:135–149CrossRefGoogle Scholar
  3. Benito X, Trobajo R, Ibáñez C (2014) Modelling habitat distribution of Mediterranean coastal wetlands: the Ebro Delta as case study. Wetlands 34:775–785CrossRefGoogle Scholar
  4. Birks HJB (1998) Numerical tools in palaeolimnology—progress, potentialities, and problems. J Paleolimnol 20:307–332CrossRefGoogle Scholar
  5. Birks HJB (2003) Quantitative palaeoenvironmental reconstructions from Holocene biological data. In: Birks HJB, Mackay A, Battarbee R, Birks HJB, Oldfield F (eds) Global change in the Holocene. Taylor and Francis, New York, pp 107–123Google Scholar
  6. Cardoch L, Day JW, Ibáñez C (2002) Net primary productivity as an indicator of sustainability in the Ebro and Mississippi deltas. Ecol Appl 12:1044–1055CrossRefGoogle Scholar
  7. Castro DF, Rossetti DF, Cohen MC, Pessenda LC, Lorente FL (2013) The growth of the Doce River Delta in northeastern Brazil indicated by sedimentary facies and diatoms. Diatom Res 28:455–466CrossRefGoogle Scholar
  8. Cooper S, Huvane J, Panchabi V, Richardson C (1999) Calibration of diatoms along a nutrient gradient in Florida Everglades Water Conservation Area-2A, USA. J Paleolimnol 22:413–437Google Scholar
  9. Comín FA, Menéndez M, Martín M (1991) Short-term effects of decreasing water discharge on the chemical and biological characteristics of eutrophic coastal lagoons. In: Giussani GL, Liere V, Moss B (eds) Ecosystem research in freshwater environment recovery. Istituto Italiano Di Idrobiologia, Pallanza, pp 9–23Google Scholar
  10. Costanza R, d’Arge R, de Groot R, Farber S, Grasso M, Hannon B, Limburg K, Naeem S, Oneill R, Paruelo J, Raskin R, Sutton P, van den Belt M (1997) The value of the world’s ecosystem services and natural capital. Nature 387:253–260CrossRefGoogle Scholar
  11. Curcó A, Ibáñez C, Day JW, Prat N (2002) Net primary production and decomposition of salt marshes of the Ebre Delta (Catalonia, Spain). Estuaries Coasts 25:309–324CrossRefGoogle Scholar
  12. Day JW, Ibáñez C, Scarton F, Pont D, Hensel P, Day JJ, Lane R (2011) Sustainability of Mediterranean deltaic and lagoon wetlands with sea-level rise: the importance of river input. Estuaries Coasts 34:483–493CrossRefGoogle Scholar
  13. Dean WE (1974) Determination of carbonate and organic matter in calcareous sediments and sedimentary rocks by loss on ignition, comparison with other models. J Sediment Pet 44:242–248Google Scholar
  14. Dufrêne M, Legendre P (1997) Species assemblages and indicator species: the need for a flexible asymmetrical approach. Ecol Monogr 67:345–366Google Scholar
  15. Facca C, Sfriso A (2007) Epipelic diatom spatial and temporal distribution and relationship with the main environmental parameters in coastal waters. Estuar Coast Shelf Sci 75:35–49CrossRefGoogle Scholar
  16. Flower R, Dobinson S, Ramdani M, Kraïem M, Hamza CB, Fathi A, Abdelzaher H, Birks HH, Appleby P, Lees J (2001) Recent environmental change in North African wetland lakes: diatom and other stratigraphic evidence from nine sites in the CASSARINA Project. Aquat Ecol 35:369–388CrossRefGoogle Scholar
  17. Gasse F, Juggins S, Khelifa LB (1995) Diatom-based transfer functions for inferring past hydrochemical characteristics of African lakes. Palaeogeogr Palaeoclimatol Palaeoecol 117:31–54CrossRefGoogle Scholar
  18. Giosan L, Goodbred SL (2007) Deltaic environments. In: Ellias S, Mock C (eds) Encyclopedia of quaternary science. Elsevier, Amsterdam, pp 704–715CrossRefGoogle Scholar
  19. Grasshoff K, Ehrhardt M, Kremling K (1983) Methods of seawater analyses. Verlag Chemie, GermanyGoogle Scholar
  20. Hassan GS, Espinosa MA, Isla FI (2009) Diatom-based inference model for paleosalinity reconstructions in estuaries along the northeastern coast of Argentina. Palaeogeogr Palaeoclimatol Palaeoecol 275:77–91CrossRefGoogle Scholar
  21. Hay CC, Morrow E, Kopp RE, Mitrovica JX (2015) Probabilistic reanalysis of twentieth-century sea-level rise. Nature 517:481–484CrossRefGoogle Scholar
  22. Hollis G (1992) The causes of wetland loss and degradation in the Mediterranean. In: Proceedings of IWRB international symposium. International waterflow and wetlands research. Bureau Special Publication, Italy, pp 83–90Google Scholar
  23. Ibáñez C, Curcó A, Day JJ, Prat N (2000) Structure and productivity of microtidal Mediterranean coastal marshes. In: Weinstein M, Kreeger D (eds) Concepts and controversies in tidal marsh ecology. Springer, The Netherlands, pp 107–136Google Scholar
  24. Ibáñez C, Sharpe P, Day JW, Day JN, Prat N (2010) Vertical accretion and relative sea level rise in the Ebro Delta wetlands (Catalonia, Spain). Wetlands 30:979–988CrossRefGoogle Scholar
  25. Ibáñez C, Day JW, Reyes E (2014) The response of deltas to sea-level rise: natural mechanisms and management options to adapt to high-end scenarios. Ecol Eng 65:122–130CrossRefGoogle Scholar
  26. IPCC (2013) Summary for policymakers. In: Stocker TF, Qin D, Plattner G-K, Tignor M, Allen SK, Boschung J, Nauels A, Xia Y, Bex V, Midgley PM (eds) Climate change 2013: the physical science basis. Contribution of working group I to the fifth assessment report of the intergovernmental panel on climate change. Cambridge University Press, Cambridge, pp 3–29Google Scholar
  27. Juggins S (2003) C2 data analysis version 1.6.8. University of Newcastle, NewcastleGoogle Scholar
  28. Juggins S (2013) Quantitative reconstructions in palaeolimnology: new paradigm or sick science? Quat Sci Rev 64:20–32CrossRefGoogle Scholar
  29. Juggins S, Birks HJB (2012) Quantitative environmental reconstructions from biological data. In: Birks HJB, Lotter AF, Juggins S, Smol JP (eds) Tracking environmental change using lake sediments: data handling and numerical techniques. Springer, Dordrecht, pp 431–494CrossRefGoogle Scholar
  30. Kingston J, Birks HJB, Uutala A, Cumming B, Smol JP (1992) Assessing trends in fishery resources and lake water aluminum from paleolimnological analyses of siliceous algae. Can J Fish Aquat Sci 49:116–127CrossRefGoogle Scholar
  31. Krammer K, Lange-Bertalot H (1986a) Bacillariophyceae. 1. Teil: Naviculaceae. In: Ettl H, Gerloff J, Heynig H, Mollenhauer D (eds) Süsswasserflora von Mitteleuropa, vol 2/1. G. Fischer, StuttgartGoogle Scholar
  32. Krammer K, Lange-Bertalot H (1986b) Bacillariophyceae. 2. Teil: Bacillariaceae, Epithemiaceae, Surirellaceae. In: Ettl H, Gerloff J, Heynig H, Mollenhauer D (eds) Süsswasserflora von Mitteleuropa, vol 2/2. G. Fischer, StuttgartGoogle Scholar
  33. Legendre P, Legendre LF (1998) Numerical ecology. Elsevier, AmsterdamGoogle Scholar
  34. Leira M, Sabater S (2005) Diatom assemblages distribution in catalan rivers, NE Spain, in relation to chemical and physiographical factors. Water Res 39:73–82CrossRefGoogle Scholar
  35. Lorenzen CJ (1966) A method for the continuous measurement of in vivo chlorophyll concentration. Deep Sea Res 13:223–227Google Scholar
  36. Payne RJ, Telford RJ, Blackford J, Blundell A, Booth R, Charman DJ, Lamentowicz L, Lamentowicz M, Mitchell E, Potts G, Swindles G, Warner B, Woodland W (2012) Testing peatland testate amoeba transfer functions: appropriate methods for clustered training-sets. Holocene 22:819–825CrossRefGoogle Scholar
  37. Prado P, Caiola N, Ibáñez C (2012) Spatio-temporal patterns of submerged macrophytes in three hydrologically altered Mediterranean coastal lagoons. Estuaries Coasts 36:414–429CrossRefGoogle Scholar
  38. R Development Core Team (2010) R: a language and environment for statistical computing. R Foundation for Statistical Computing, ViennaGoogle Scholar
  39. Reed J (1998) A diatom-conductivity transfer function for Spanish salt lakes. J Paleolimnol 19:399–416CrossRefGoogle Scholar
  40. Renberg I (1990) A procedure for preparing large sets of diatom slides from sediment cores. J Paleolimnol 4:87–90CrossRefGoogle Scholar
  41. Rovira L, Trobajo R, Ibáñez C (2012) The use of diatom assemblages as ecological indicators in highly stratified estuaries and evaluation of existing diatom indices. Mar Pollut Bull 64:500–511CrossRefGoogle Scholar
  42. Ryves DB, Clarke AL, Appleby PG, Amsinck SL, Jeppesen E, Landkildehus F, Anderson NJ (2004) Reconstructing the salinity and environment of the Limfjord and Vejlerne Nature Reserve, Denmark, using a diatom model for brackish lakes and fjords. Can J Fish Aquat Sci 61:1988–2006CrossRefGoogle Scholar
  43. Saunders KM (2011) A diatom dataset and diatom-salinity inference model for southeast Australian estuaries and coastal lakes. J Paleolimnol 46:525–542CrossRefGoogle Scholar
  44. Saunders K, Hodgson D, Harrison J, McMinn A (2008) Paleoecological tools for improving the management of coastal ecosystems: a case study from Lake King (Gippsland Lakes) Australia. J Paleolimnol 40:33–47Google Scholar
  45. Schönfelder I, Gelbrecht J, Schönfelder J, Steinberg CE (2002) Relationships between littoral diatoms and their chemical environment in northeastern german lakes and rivers. J Phycol 38:66–89CrossRefGoogle Scholar
  46. SEO/BirdLife (1997) Plan Delta XXI. Directrices para la conservación y el desarrollo sostenible en el Delta del Ebro. SEO/BirdLife, MadridGoogle Scholar
  47. Smol JP (2002) Pollution of lakes and rivers: a paleoenvironmental perspective. Arnold, LondonGoogle Scholar
  48. Smol JP, Stoermer EF (2010) The diatoms: applications for the environmental and earth sciences. Cambridge University Press, CambridgeCrossRefGoogle Scholar
  49. Sullivan MJ (1978) Diatom community structure: taxonomic and statistucal analyses of a Mississippi salt marsh. J Phycol 14:468–475CrossRefGoogle Scholar
  50. Telford RJ, Birks HJB (2011) Effect of uneven sampling along an environmental gradient on transfer-function performance. J Paleolimnol 46:99–106CrossRefGoogle Scholar
  51. Ter Braak CJF, Smilauer P (2002) CANOCO reference manual and CanoDraw for Windows user’s guide: software for canonical community ordination (version 4.5). Microcomputer Power, New YorkGoogle Scholar
  52. Thornton DC, Dong LF, Underwood GJ, Nedwell DB (2002) Factors affecting microphytobenthic biomass, species composition and production in the Colne Estuary (UK). Aquat Microb Ecol 27:285–300CrossRefGoogle Scholar
  53. Tomàs X (1988) Diatomeas de las aguas epicontinentales saladas del litoral mediterráneo de la península Ibérica. PhD Thesis, University of Barcelona, BarcelonaGoogle Scholar
  54. Trobajo R, Quintana X, Sabater S (2004) Factors affecting the periphytic diatom community in Mediterranean coastal wetlands (Empordà wetlands, NE Spain). Arch Hydrobiol 160:375–399CrossRefGoogle Scholar
  55. Wachnicka A, Gaiser E, Collins L, Frankovich T, Boyer J (2010) Distribution of diatoms and development of diatom-based models for inferring salinity and nutrient concentrations in Florida Bay and adjacent coastal wetlands of south Florida (USA). Estuaries Coasts 33:1080–1098CrossRefGoogle Scholar
  56. Wachnicka A, Gaiser E, Boyer J (2011) Ecology and distribution of diatoms in Biscayne Bay, Florida (USA): implications for bioassessment and paleoenvironmental studies. Ecol Indic 11:622–632CrossRefGoogle Scholar
  57. Weckström K, Juggins S (2005) Coastal diatom-environment relationships from the Gulf of Finland, Baltic Sea. J Phycol 42:21–35CrossRefGoogle Scholar
  58. Witkowski A, Lange-Bertalot H, Metzeltin D (2000) Diatom flora of marine coasts 1. In: Lange-Bertalot H (ed) Iconographia diatomologica, vol 7. Koeltz Scientific Books, Germany, pp 1–925Google Scholar
  59. Xing F, Kettner AJ, Ashton A, Giosan L, Ibáñez C, Kaplan JO (2014) Fluvial response to climate variations and anthropogenic perturbations for the Ebro River, Spain in the last 4000 years. Sci Total Environ 473:20–31CrossRefGoogle Scholar
  60. Zalat A, Vildary SS (2005) Distribution of diatom assemblages and their relationship to environmental variables in the surface sediments of three northern Egyptian lakes. J Paleolimnol 34:159–174CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media Dordrecht 2015

Authors and Affiliations

  1. 1.Aquatic Ecosystems ProgramIRTA, Institute of Agriculture and Food Research and TechnologySt. Carles de la RàpitaSpain
  2. 2.Geography Department, Centre for Climate ChangeUniversity Rovira i VirgiliTortosaSpain

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