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Land use and soil drainage interactions drive macroinvertebrates and diatoms composition but not their diversity
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  • Published: 16 January 2026

Land use and soil drainage interactions drive macroinvertebrates and diatoms composition but not their diversity

  • Jean C. G. Ortega1,
  • Rebecca L. Hall1,
  • Golnaz Ezzati1 &
  • …
  • Per-Erik Mellander1 

Scientific Reports , Article number:  (2026) Cite this article

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We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors present which affect the content, and all legal disclaimers apply.

Subjects

  • Biogeochemistry
  • Ecology
  • Environmental sciences
  • Hydrology

Abstract

Attaining and keeping good water quality is key to allow agriculture producing while lessening environmental impacts. Biological indicators (macroinvertebrates and diatoms) respond to diffuse pollution associated with agriculture by changes in their diversity and composition. With 14 years monitoring of six intensive agricultural catchments in Ireland, we observed that macroinvertebrates diversity decreased through time and was higher in the spring than in autumn, and higher in catchments dominated by well-drained soils compared to those with poorly drained soils. Both macroinvertebrates and diatoms composition varied in function of an interaction between the main land use and soil drainage. While streams in grasslands with poorly drained soils tended to present lower abundances of macroinvertebrates species tolerant to organic pollution, they also presented higher abundances of diatoms species favoured in high to very high nutrients concentrations. Streams in well-drained catchments presented a variable composition with high abundances of both species tolerant and sensitive to organic pollution. Our findings indicate that improving biological indicators of water quality in intensive agricultural catchments require that mitigation measures consider land use and soil drainage capacity.

Data availability

The data that support the findings of this study are available on request from P.-E.M. The data are not publicly available because they contain information that could compromise privacy and farmer willingness to participate in the long-term monitoring.

References

  1. Daly, K. et al. Soils and water quality. In: (eds Creamer, R. & O’Sullivan, L.) The Soils of Ireland. New York, Springer. 235–243. DOI: https://doi.org/10.1007/978-3-319-71189-8_16 (2018).

    Google Scholar 

  2. Melland, A. R. et al. Stream water quality in intensive cereal cropping catchments with regulated nutrient management. Environ. Sci. Policy. 24, 58–70. https://doi.org/10.1016/j.envsci.2012.06.006 (2012).

    Google Scholar 

  3. Mellander, P. E., Jordan, P., Shore, M., Melland, A. R. & Shortle, G. Flow paths and phosphorus transfer pathways in two agricultural streams with contrasting flow controls. Hydrol. Process. 29, 3504–3518. https://doi.org/10.1002/hyp.10415 (2015).

    Google Scholar 

  4. Mellander, P. E., Galloway, J., Hawtree, D. & Jordan, P. Phosphorus mobilization and delivery estimated from long-term high frequency water quality and discharge data. Front. Water. 4, 917813. https://doi.org/10.3389/frwa.2022.917813 (2022).

    Google Scholar 

  5. Regan, J. T., Fenton, O. & Healy, M. G. A review of phosphorus and sediment release from Irish tillage soils, the methods used to quantify losses and the current state of mitigation practice. Biol. Environ. Proc. R. Ir. Acad. 112B, 157–183. (2011). https://doi.org/10.3318/BIOE.2012.05

  6. Boardman, J. & Favis-Mortlock, D. T. The significance of drilling date and crop cover with reference to soil erosion by water, with implications for mitigating erosion on agricultural land in South East England. Soil. Use Manag. 30, 40–47. https://doi.org/10.1111/sum.12095 (2014).

    Google Scholar 

  7. Davis, S. J. et al. Multiple-stressor effects of sediment, phosphorus and nitrogen on stream macroinvertebrate communities. Sci. Total Environ. 637–638, 577–587. https://doi.org/10.1016/j.scitotenv.2018.05.052 (2018).

    Google Scholar 

  8. Kelly, M. G. et al. The Trophic Diatom Index: A user’s manual. Revised edition. R&D Technical Report E2/TR2. Bristol, Environmental Agency. (2001).

  9. Nguyen, H. H., Welti, E. A. R., Haubrock, P. J. & Haase, P. Long–term trends in stream benthic macroinvertebrate communities are driven by chemicals. Environ. Sci. Eur. 35, 108. https://doi.org/10.1186/s12302-023-00820-6 (2023).

    Google Scholar 

  10. Kelly, M. G. & Whitton, B. A. The trophic diatom index: a new index for monitoring eutrophication in rivers. J. Appl. Phycol. 7, 433–444. https://doi.org/10.1007/BF00003802 (1995).

    Google Scholar 

  11. Bista, I. et al. Annual time-series analysis of aqueous eDNA reveals ecologically relevant dynamics of lake ecosystem biodiversity. Nat. Commun. 8, 14087. https://doi.org/10.1038/ncomms14087 (2017).

    Google Scholar 

  12. Melo, A. S., Niyogi, D. K., Matthaei, C. D. & Townsend, C. R. Resistance, resilience, and patchiness of invertebrate assemblages in native tussock and pasture streams in new Zealand after a hydrological disturbance. Can. J. Fish. Aquat. Sci. 60, 731–739. https://doi.org/10.1139/F03-061 (2003).

    Google Scholar 

  13. Schneck, F. & Melo, A. S. Hydrological disturbance overrides the effect of substratum roughness on the resistance and resilience of stream benthic algae. Freshw. Biol. 57, 1678–1688. https://doi.org/10.1111/j.1365-2427.2012.02830.x (2012).

    Google Scholar 

  14. Ortega, J. C. G. et al. Spatio-temporal variation in water beetle assemblages across temperate freshwater ecosystems. Sci. Total Environ. 792, 148071. https://doi.org/10.1016/j.scitotenv.2021.148071 (2021).

    Google Scholar 

  15. Rumschlag, S. L. et al. Density declines, richness increases, and composition shifts in stream macroinvertebrates. Sci. Advan. 9, eadf4896. https://doi.org/10.1126/sciadv.adf4896 (2023).

    Google Scholar 

  16. Haase, P. et al. The recovery of European freshwater biodiversity has come to a halt. Nature 620, 582–588. https://doi.org/10.1038/s41586-023-06400-1 (2023).

    Google Scholar 

  17. Johnson, T. F. et al. Revealing uncertainty in the status of biodiversity change. Nature 628, 788–794. https://doi.org/10.1038/s41586-024-07236-z (2024).

    Google Scholar 

  18. Schürings, C., Feld, C. K., Kail, J. & Hering, D. Effects of agricultural land use on river biota: a meta–analysis. Environ. Sci. Eur. 34, 124. https://doi.org/10.1186/s12302-022-00706-z (2022).

    Google Scholar 

  19. Cross, J. R. The potential natural vegetation of Ireland. Biol. Environ. Proc. R Ir. Acad. 106B, 65–116. https://doi.org/10.3318/BIOE.2006.106.2.65 (2006).

    Google Scholar 

  20. Ezzati, G. et al. Impacts of changing weather patterns on the dynamics of water pollutants in agricultural catchments: insights from 11-year high Temporal resolution data analysis. J. Hydrol. 644, 132122. https://doi.org/10.1016/j.jhydrol.2024.132122 (2024).

    Google Scholar 

  21. Mellander, P. E. & Jordan, P. Charting a perfect storm of water quality pressures. Sci. Total Environ. 787, 147576. https://doi.org/10.1016/j.scitotenv.2021.147576 (2021).

    Google Scholar 

  22. Jourdan, J. et al. Effects of changing climate on European stream invertebrate communities: A long-term data analysis. Sci. Total Environ. 621, 588–599. https://doi.org/10.1016/j.scitotenv.2017.11.242 (2018).

    Google Scholar 

  23. Melo, A. S. & Froehlich, C. G. An attractor domain model of seasonal and inter-annual β diversity of stream macroinvertebrate communities. Freshw. Biol. 67, 1370–1379. https://doi.org/10.1111/fwb.13923 (2022).

    Google Scholar 

  24. Murphy, C. et al. Climate change impacts on Irish river flows: high resolution scenarios and comparison with CORDEX and CMIP6 ensembles. Water Resour. Manag. 37, 1841–1858. https://doi.org/10.1007/s11269-023-03458-4 (2023).

    Google Scholar 

  25. Shore, M. et al. Influence of stormflow and baseflow phosphorus pressures on stream ecology in agricultural catchments. Sci. Total Environ. 590–591, 469–483. https://doi.org/10.1016/j.scitotenv.2017.02.100 (2017).

    Google Scholar 

  26. Tonolla, D. et al. Effects of hydropeaking on drift, stranding and community composition of macroinvertebrates: A field experimental approach in three regulated Swiss rivers. River Res. Appl. 39, 427–443. https://doi.org/10.1002/rra.4019 (2022).

    Google Scholar 

  27. Junqueira, M. G., Melo, A. S. & Schneck, F. Effects of mesohabitat, grazing and substratum roughness on locally common and rare diatom species. Freshw. Biol. 68, 1542–1557. https://doi.org/10.1111/fwb.14147 (2023).

    Google Scholar 

  28. Toner, P. et al. Water Quality in Ireland 2001–2003 (Johnstown Castle, Environmental Protection Agency, 2005).

  29. Department of Agriculture, Food and the Marine (DAFM). Nitrates explanatory handbook for good agricultural practice for the protection of waters regulations 2022. (2022).

  30. Anderson, M. J. Distance-based tests for homogeneity of multivariate dispersions. Biometrics 62, 245–253. https://doi.org/10.1111/j.1541-0420.2005.00440.x (2006).

    Google Scholar 

  31. Li, J. et al. Ecological drivers of taxonomic, functional, and phylogenetic beta diversity of macroinvertebrates in Wei river basin of Northwest China. Front. Ecol. Evol. 12, 1410915. https://doi.org/10.3389/fevo.2024.1410915 (2024).

    Google Scholar 

  32. Haygarth, P. M., Condron, L. M., Heathwaite, A. L., Turner, B. L. & Harris, G. P. The phosphorus transfer continuum: linking source to impact with an interdisciplinary and multi-scaled approach. Sci. Total Environ. 344, 5–14. https://doi.org/10.1016/j.scitotenv.2005.02.001 (2005).

    Google Scholar 

  33. Pilon, C. et al. Grazing management and buffer strip impact on nitrogen runoff from pastures fertilized with poultry litter. J. Environ. Qual. 48, 297–304. https://doi.org/10.2134/jeq2018.04.0159 (2019).

    Google Scholar 

  34. Valkama, E., Usva, K., Saarinen, M. & Uusi-Kämppä, J. A Meta-Analysis on nitrogen retention by buffer zones. J. Environ. Qual. 48, 270–279. https://doi.org/10.2134/jeq2018.03.0120 (2019).

    Google Scholar 

  35. O’Malley, J. et al. Multispecies grasslands produce more yield from lower nitrogen inputs across a Climatic gradient. Science 391, 179–183. https://doi.org/10.1126/science.ady0764 (2025).

    Google Scholar 

  36. Fealy, R. M. et al. The Irish agricultural catchments programme: catchment selection using Spatial multi-criteria decision analysis. Soil. Use Manag. 26, 225–236. https://doi.org/10.1111/j.1475-2743.2010.00291.x (2010).

    Google Scholar 

  37. Sherriff, S. C. et al. Investigating suspended sediment dynamics in contrasting agricultural catchments using ex situ turbidity-based suspended sediment monitoring. Hydrol. Earth Syst. Sci. 19, 3349–3363. https://doi.org/10.5194/hess-19-3349-2015 (2015).

    Google Scholar 

  38. Wall, D. et al. Using the nutrient transfer continuum concept to evaluate the European union nitrates directive National action programme. Environ. Sci. Policy. 14, 664–674. https://doi.org/10.1016/j.envsci.2011.05.003 (2011).

    Google Scholar 

  39. Dobson, M., Pawley, S., Fletcher, M. & Powell, A. Guide to British Freshwater Macroinvertebrates for Biotic Assessment - SP67. Lakeside: Freshwater Biological Association. 80 p. (2021).

  40. Lange-Bertalot, H., Hofmann, G., Werum, M. & Cantonati, M. Freshwater benthic diatoms of central Europe: over 800 common species used in ecological assessment. Engl. Ed. Updated Taxonomy Added Species (2017).

  41. Creamer, R. E. et al. Irish Soil Information System: Soil Property Maps. EPA Research Programme 2014–2020 Report. (2016).

  42. Legendre, P. & Legendre, L. Numerical Ecology (Elsevier, 2012).

  43. Jackson, D. A. Stopping rules in principal components analysis: A comparison of heuristical and statistical approaches. Ecology 74, 2204–2214. https://doi.org/10.2307/1939574 (1993).

    Google Scholar 

  44. Zuur, A. F., Ieno, E. N., Walker, N., Saveliev, A. A. & Smith, G. M. Mixed Effects Models and Extensions in Ecology with R (Springer, 2009).

  45. Bolker, B. M. et al. Generalized linear mixed models: a practical guide for ecology and evolution. Trends Ecol. Evol. 24, 127–135. https://doi.org/10.1016/j.tree.2008.10.008 (2009).

    Google Scholar 

  46. Nakagawa, S., Johnson, P. C. D. & Schielzeth, H. The coefficient of determination R2 and intra-class correlation coefficient from generalized linear mixed-effects models revisited and expanded. J. R Soc. Interface 14: 20170213 . https://doi.org/10.1098/rsif.2017.0213

  47. Anderson, M. J. A new method for non-parametric multivariate analysis of variance. Austral Ecol. 26, 32–46. https://doi.org/10.1111/j.1442-9993.2001.01070.pp.x (2001).

    Google Scholar 

  48. Legendre, P. & De Cáceres, M. Beta diversity as the variance of community data: dissimilarity coefficients and partitioning. Ecol. Lett. 16, 951–963. https://doi.org/10.1111/ele.12141 (2013).

    Google Scholar 

  49. Clarke, K. R. Non-parametric multivariate analyses of changes in community structure. Aust J. Ecol. 18, 117–143. https://doi.org/10.1111/j.1442-9993.1993.tb00438.x (1993).

    Google Scholar 

  50. R Core Team. R: A Language and Environment for Statistical Computing. (R Foundation for Statistical Computing, Vienna, Austria, 2024). Available at: https://www.R-project.org/

  51. Venables, W. N. & Ripley, B. D. Modern Applied Statistics with S. Fourth Edition. Springer, New York. (2002).

  52. Bartoń, K. MuMIn: Multi-Model Inference. R package version 1.48.11. (2025). Available at: https://CRAN.R-project.org/package=MuMIn

  53. Pinheiro, J. et al. nlme: Linear and Nonlinear Mixed Effects Models. R package version 3.1–168. (2025). Available at: https://CRAN.R-project.org/package=nlme

  54. Oksanen, J. et al. vegan: Community Ecology Package. R package version 2.6–10. (2025). Available at: https://CRAN.R-project.org/package=vegan

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Acknowledgements

We thank Simon Harrison, Lauren Williams, Gerard Morgan, Bláithín Ní Ainín and Martyn Kelly for sampling and identification of macroinvertebrates and diatoms. We also thank the technical staff from the Agricultural Catchments Programme (ACP) for their long-term sampling of environmental variables and the Department of Agriculture, Food and the Marine (DAFM) for the continuous funding of ACP. DAFM had no role in the study design, collection, analysis and interpretation of data, writing of the report and decision to submit the article for publication.

Funding

Department of Agriculture, Food and the Marine (DAFM).

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Authors and Affiliations

  1. Agricultural Catchments Programme, Department of Environment Soils and Land-Use, Teagasc, Johnstown Castle, Co. Wexford, Y35 TC97, Ireland

    Jean C. G. Ortega, Rebecca L. Hall, Golnaz Ezzati & Per-Erik Mellander

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  1. Jean C. G. Ortega
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  2. Rebecca L. Hall
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  3. Golnaz Ezzati
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Contributions

Conceptualisation: JCGO. Developing methods: JCGO, RLH, GE, PEM. Data analysis, preparation of figures and tables: JCGO. Conducting the research, data interpretation, writing: JCGO, RLH, GE, PEM.

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Correspondence to Jean C. G. Ortega.

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Ortega, J.C.G., Hall, R.L., Ezzati, G. et al. Land use and soil drainage interactions drive macroinvertebrates and diatoms composition but not their diversity. Sci Rep (2026). https://doi.org/10.1038/s41598-025-34684-y

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  • Received: 03 November 2025

  • Accepted: 30 December 2025

  • Published: 16 January 2026

  • DOI: https://doi.org/10.1038/s41598-025-34684-y

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Keywords

  • Diffuse pollution
  • Intensive agricultural catchments
  • Freshwater
  • Long term monitoring
  • Species composition
  • Species richness
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