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An assessment of the relative impacts of key stressors on the hydrology of Greek river water bodies

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Abstract

The quantitative and qualitative status of a riverine ecosystem is mainly controlled by the characteristics of the catchment (topography, land use, and geological structure) and climatic factors (precipitation and temperature), both of which can be affected by anthropogenic activities. To quantify the impact of humanly imposed pressures on river discharge and to determine the dominant stressors that affect the hydrological regime of Greek rivers, two discharge datasets consisting of discharge/ichthyofauna and discharge/benthic macroinvertebrate measurements were employed, and 36 predictor variables were statistically elaborated. Impacted samplings were defined based on the classification of the corresponding biotic indices sensitive to hydrological alterations. The assessment indicated that the median discharge of impacted rivers was lower in relation to unimpacted conditions in all river types by up to 85% (R-M3), except for the case of R-M5 (temporary rivers), where discharge was higher by up to 46%. The most important variables affecting discharge values were the proximity of the dam upstream of the sampling site, the distance to source, the catchment area upstream, the presence of siliciclastic rocks upstream, annual precipitation, and the presence of artificial surfaces. Surprisingly, irrigated land area and water abstractions volume were not indicated as major driving variables affecting the hydrology of Greek rivers, possibly due to limitations of the current methodological approach. The development of a hydrological regime alteration index, specifically for Greek rivers, based on the deviation of the current state from the unimpacted conditions can be a valuable tool for the implementation of Water Framework Directive 2000/60 objectives concerning the hydromorphological quality of riverine ecosystems.

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References

  • Allen W, Fenemor A, Wood D (2012) Effective indicators for freshwater management: attributes and frameworks for development. Aqualinc Research for the MSI Wheel of Water Project, Christchurch

    Google Scholar 

  • Armanini DG, Horrigan N, Monk WA et al (2011) Development of a benthic macroinvertebrate flow sensitivity index for Canadian rivers. River Res Appl 27:723–737. https://doi.org/10.1002/rra.1389

    Article  Google Scholar 

  • Armanini DG, Monk WA, Tenenbaum DE et al (2012) Influence of runoff regime type on a macroinvertebrate-based flow index in rivers of British Columbia (Canada). Ecohydrology 5:414–423. https://doi.org/10.1002/eco.234

    Article  Google Scholar 

  • Armitage PD, Pardo I (1995) Impact assessment of regulation at the reach level using macroinvertebrate information from mesohabitats. Regul Rivers Res Manag 10:147–158. https://doi.org/10.1002/rrr.3450100210

    Article  Google Scholar 

  • Artemiadou V, Lazaridou M (2005) Evaluation score and interpretation index for the ecological quality of running waters in central and northern Hellas. Environ Monit Assess 110:1–40. https://doi.org/10.1007/s10661-005-6289-7

    Article  Google Scholar 

  • Arthington AH, Bernardo JM, Ilheu M (2014) Temporary rivers: Linking ecohydrology, ecological quality and reconciliation ecology. River Res Appl 30:1209–1215. https://doi.org/10.1002/rra.2831

    Article  Google Scholar 

  • Ban X, Chen S, Pan BZ et al (2017) The eco-hydrologic influence of the Three Gorges Reservoir on the abundance of larval fish of four carp species in the Yangtze River, China. Ecohydrology 10:1–10. https://doi.org/10.1002/eco.1763

    Article  Google Scholar 

  • Beechie T, Bolton S (1999) An approach to restoring salmonid habitat-forming processes in Pacific Northwest Watersheds. Fisheries 24:6–15. https://doi.org/10.1577/1548-8446(1999)024%3c0006:aatrsh%3e2.0.co;2

    Article  Google Scholar 

  • BGR & UNESCO (2019) International Hydrogeological Map of Europe 1:1,500,000 (IHME1500). Digital map data v1.2

  • Bird SC, Walsh RPD, Littlewood IG (1990) Catchment characteristics and basin hydrology: their effects on streamwater acidity. In: Edwards RW, Gee AS, Stoner JH (eds) Acid Waters in Wales. Monographiae Biologicae, vol 66. Springer, Dordrecht, pp 203–221

    Chapter  Google Scholar 

  • Birk S, Bohmer J, Scholl F (2018) Intercalibrating the national classifications of ecological status for very large rivers in Europe - Biological Quality Element: Benthic invertebrates. Publications Office of the European Union, Luxembourg

    Google Scholar 

  • Black AR, Rowan JS, Duck RW et al (2005) DHRAM: A method for classifying river flow regime alterations for the EC Water Framework Directive. Aquat Conserv Mar Freshw Ecosyst 15:427–446. https://doi.org/10.1002/aqc.707

    Article  Google Scholar 

  • Boyd CE (2015) Water quality: an introduction, 2nd edn. Springer International Publishing, Cham, Switzerland

    Book  Google Scholar 

  • Bragg OM, Black AR, Duck RW, Rowan JS (2005) Approaching the physical-biological interface in rivers: a review of methods for ecological evaluation of flow regimes. Prog Phys Geogr 29:506–531. https://doi.org/10.1191/0309133305pp460ra

    Article  Google Scholar 

  • Bratli JL (2000) Classification of the Environmental Quality of Freshwater in Norway. In: Heinonen P, Ziglio G, Van Der Beken A (eds) Hydrological and Lintnological Aspects of Lake Monitoring. Wiley, Chichester, pp 331–343

    Google Scholar 

  • Chhabra A, Patz J, Xu J et al (2006) Multiple impacts of Land-Use/Cover Change. In: Lambin EF, Geist H (eds) Land-use and land-cover change. Global change—the IGBP series. Springer, Berlin, Heidelberg, pp 71–116

    Chapter  Google Scholar 

  • Datry T, Larned ST, Tockner K (2014) Intermittent rivers: a challenge for freshwater ecology. Bioscience 64:229–235. https://doi.org/10.1093/biosci/bit027

    Article  Google Scholar 

  • Elith J, Leathwick JR, Hastie T (2008) A working guide to boosted regression trees. J Anim Ecol 77:802–813. https://doi.org/10.1111/j.1365-2656.2008.01390.x

    Article  Google Scholar 

  • European Commission (2000) European commission council 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. Off J Eur Communities L327:1–72

    Google Scholar 

  • European Commission (2003) Common Implementation Strategy for the Water Framework Directive (2000/60/EC). Guidance document n 10 River and lakes—Typology, reference conditions and classification systems. Office for Official Publications of the European Communities, Luxembourg

    Google Scholar 

  • European Commission (2018) Commission decision 2018/229 of 12 Februart 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. Off J Eur Union L47:1–91

    Google Scholar 

  • European Communities (2009) Water Framework Directive intercalibration technical report. Part 1: Rivers. van de Bund. Wouter, Luxembourg

    Google Scholar 

  • European Environment Agency (2018) European waters. Assessment of status and pressures 2018 No 7/2018. Publications Office of the European Union, Luxembourg

    Google Scholar 

  • European Environment Agency (2020) Copernicus Land Monitoring Service 2018. CORINE Land Cover CLC2018 Version 2020_20u1. https://land.copernicus.eu/pan-european/corine-land-cover/clc2018. Accessed 5 May 2020

  • Eurostat (2020) Water abstraction by river basin district (RBD). https://ec.europa.eu/eurostat/databrowser/view/env_watabs_rb/default/table?lang=en. Accessed 4 Jun 2021

  • Extence CA, Balbi DM, Chadd RP (1999) River flow indexing using British benthic macroinvertebrates: a framework for setting hydroecological objectives. Regul Rivers Res Manag 15:543–574. https://doi.org/10.1002/(SICI)1099-1646(199911/12)15:6%3C545::AID-RRR561%3E3.0.CO;2-W

    Article  Google Scholar 

  • Feio MJ, Ferreira J, Buffagni A et al (2014) Comparability of ecological quality boundaries in the Mediterranean basin using freshwater benthic invertebrates. Statistical options and implications. Sci Total Environ 476–477:777–784. https://doi.org/10.1016/j.scitotenv.2013.07.085

    Article  Google Scholar 

  • Feld CK, Segurado P, Gutiérrez-Cánovas C (2016) Analysing the impact of multiple stressors in aquatic biomonitoring data: A ‘cookbook’ with applications in R. Sci Total Environ 573:1320–1339. https://doi.org/10.1016/j.scitotenv.2016.06.243

    Article  Google Scholar 

  • Fick SE, Hijmans RJ (2017) WorldClim 2: new 1-km spatial resolution climate surfaces for global land areas. Int J Climatol 37:4302–4315. https://doi.org/10.1002/joc.5086

    Article  Google Scholar 

  • Freeman MC, Bowen ZH, Bovee KD, Irwin ER (2001) Flow and habitat effects on juvenile fish abundance in natural and altered flow regimes. Ecol Appl 11:179. https://doi.org/10.2307/3061065

    Article  Google Scholar 

  • Gerten D, Rost S, von Bloh W, Lucht W (2008) Causes of change in 20th century global river discharge. Geophys Res Lett 35:1–5. https://doi.org/10.1029/2008GL035258

    Article  Google Scholar 

  • Gleick PH (2003) Global freshwater resources: soft-path solutions for the 21st century. Science 302:1524–1528. https://doi.org/10.1126/science.1089967

    Article  Google Scholar 

  • Greek Committee on Large Dams (2013) The dams of Greece

  • Greenwell B, Boehmke B, Cunningham J (2020) Package “gbm”—Generalized Boosted Regression Models, v.2.1.8. 39

  • Hellenic Centre for Marine Research (2016) Monitoring of the ecological water quality of rivers, coastal and transitional waters of Greece to implement the Article 8 of Water Framework Directive 2000/60/EC. Ministry of Environment and Energy. Special Secretariat of Water, Anavyssos

  • Hellenic Centre for Marine Research (2021) Monitoring and Recording of the Water Status (Quality, Quantity, Pressures, Use) in Greece

  • Hellenic Republic (2011) Definition of a water quality and quantity National Monitoring Network by determining the sites (stations) of measurements and the operating agencies, in alignment to article 4, paragraph 4 of Law 3199/2003 [in Greek]. Off J Hell Repub B:27483–27530

    Google Scholar 

  • Hellenic Republic (2016) Modification of Article 19 of Annex 19 to Presidential Decree 51/2007 (A’54), as modified by Article 5 of Law 4117/2013 (A29), in Compliance with Directive 2014/101/EU of the European Council. Off J Hell Repub B:18959–18962

    Google Scholar 

  • Hijmans ARJ, Phillips S, Leathwick J, et al (2020) Package ‘dismo’-Species Distribution Modeling, v. 1.3–3. 68

  • Hinkle D, Wiersma W, Jurs S (2003) Applied Statistics for the Behavioral Sciences, 5th edn. Houghton Mifflin, Boston

    Google Scholar 

  • Japan Internationsl Cooperation Agency (2008) The study on integrated water management in the Republic of Bulgaria. Final report. Ministry of Environment and Water, The Reoublic of Bulgaria

  • Junk WJ, Bayley PB, Sparks RE (1989) The flood pulse concept in river-floodplain systems. In: Didge DP (ed) Proceedings of the International Large River Symposium (LARS). Canadian Special Journal of Fisheries and Aquatic Sciences 106:110–127

  • Kleynhans CJ, Louw MD, Thirion C, et al (2005) River EcoClassification: manual for EcoStatus determination (version 1). WRC Report No. KV 168/05. Water Research Commission—Department of Water Affairs and Forestry, Pretoria

  • Lazaridou M, Ntislidou C, Karaouzas I, Skoulikidis N (2018) Harmonisation of a new assessment method for estimating the ecological quality status of Greek running waters. Ecol Indic 84:683–694. https://doi.org/10.1016/j.ecolind.2017.09.032

    Article  Google Scholar 

  • Markert BA, Breure AM, Zechmeister HG (2003) Bioindicators & biomonitors. Principles, concepts and applications, 1st edn. Elsevier Science Ltd., Oxford

    Google Scholar 

  • Martínez Santa-María C, Fernández Yuste JA (2010) IAHRIS 2.2, Indicators of hydrologic alteration in rivers, Nethodological reference manual. Spanish Ministry of the Environment

    Google Scholar 

  • Mazor RD, May JT, Sengupta A et al (2018) Tools for managing hydrologic alteration on a regional scale: setting targets to protect stream health. Freshw Biol 63:786–803. https://doi.org/10.1111/fwb.13062

    Article  Google Scholar 

  • Mcmanamay RA, Orth DJ, Kauffman J et al (2010) A database and meta-analysis of ecological responses to stream flow in the South Atlantic Region. Southeast Nat 12:1–36. https://doi.org/10.1656/058.012.m501

    Article  Google Scholar 

  • Mentzafou A, Panagopoulos Y, Dimitriou E (2019) Designing the national network for automatic monitoring of water quality parameters in Greece. Water 11:1–22. https://doi.org/10.3390/w11061310

    Article  Google Scholar 

  • Milliman JD, Farnsworth KL (2011) Human activities and their impacts. In: Milliman JD, Farnsworth KL (eds) River discharge to the coastal ocean: a global synthesis. Cambridge University Press, Cambridge, pp 115–164

    Chapter  Google Scholar 

  • Ministry of the Environment and Energy (2017) Detailed Documentation of the 1st Update of the River Basin Management Plans of Water Districts of Greece. Analysis of the anthropogenic pressures and their effect on the surface and groundwater waterbodies. Athens

  • Ministry of Environment and Physical Planning (MoEPP) of North Macedonia (2021) Twinning project “Strengthening the capacities for effective implementation of the acquis in the field of water quality” (MK 13 IPA EN 01 16) Drafting the Vardar River Basin Management Plan (VRBMP). Environment Agency Austria (Umweltbundesamt), Wien

    Google Scholar 

  • Munne A, Prat M (2009) Use of macroinvertebrate-based multimetric indices for water quality evaluation in Spanish Mediterranean rivers: an intercalibration approach with the IBMWP index. Hydrobiologia 628:203–225. https://doi.org/10.1007/s10750-009-9757-1

    Article  Google Scholar 

  • Naimi B (2017) Package “usdm”. Uncertainty Analysis for Species Distribution Models, v. 1.1-18. 18

  • Nilsson C, Renöfält BM (2008) Linking flow regime and water quality in rivers: A challenge to adaptive catchment management. Ecol Soc. https://doi.org/10.5751/ES-02588-130218

    Article  Google Scholar 

  • Olden JD, Poff NL (2003) Redundancy and the choice of hydrologic indices for characterizing streamflow regimes. River Res Appl 19:101–121. https://doi.org/10.1002/rra.700

    Article  Google Scholar 

  • Palmer M, Ruhi A (2019) Linkages between flow regime, biota, and ecosystem processes: implications for river restoration. Science 365:1–13. https://doi.org/10.1126/science.aaw2087

    Article  Google Scholar 

  • Poff NL, Zimmerman J (2010) Ecological responses to altered flow regimes: a literature review to inform the science and management of environmental flows. Freshw Biol 55:194–205. https://doi.org/10.1111/j.1365-2427.2009.02272.x

    Article  Google Scholar 

  • Poff NL, Allan JD, Bain MB et al (1997) The natural flow regime. Bioscience 47:769–784. https://doi.org/10.2307/1313099

    Article  Google Scholar 

  • Power ME, Sun A, Parker G et al (1995) Hydraulic food-chain models. An approach to the study of food-web dynamics in large rivers. Bioscience 45:159–167. https://doi.org/10.2307/1312555

    Article  Google Scholar 

  • Pyron M, Lauer TE (2004) Hydrological variation and fish assemblage structure in the middle Wabash River. Hydrobiologia 525:203–213. https://doi.org/10.1023/B:HYDR.0000038867.28271.45

    Article  Google Scholar 

  • R Core Team (2021) R: A Language and Environment for Statistical Computing

  • Radinger J, Alcaraz-Hernández JD, García-Berthou E (2018) Environmental and spatial correlates of hydrologic alteration in a large Mediterranean river catchment. Sci Total Environ 639:1138–1147. https://doi.org/10.1016/j.scitotenv.2018.05.227

    Article  Google Scholar 

  • Reich P, McMaster D, Bond N et al (2010) Examining the ecological consequences of restoring flow intermittency to artificially perennial lowland streams: Patterns and predictions from the Broken-Boosey creek system in northern Victoria, Australia. River Res Appl 26:529–545. https://doi.org/10.1002/rra.1265

    Article  Google Scholar 

  • Resh VH, Brown AV, Covich AP et al (1988) The role of disturbance in stream ecology. J North Am Benthol Soc 7:433–455. https://doi.org/10.2307/1467300

    Article  Google Scholar 

  • Richter BD, Baumgartner JV, Braun DP, Powell J (1998) A spatial assessment of hydrologic alteration within a river network. Regul Rivers Res Manag 14:329–340. https://doi.org/10.1002/(sici)1099-1646(199807/08)14:4%3c329::aid-rrr505%3e3.3.co;2-5

    Article  Google Scholar 

  • Ridgeway G (2010) Generalized Boosted Models: A guide to the gbm package. 15

  • Rolls RJ, Arthington AH (2014) How do low magnitudes of hydrologic alteration impact riverine fish populations and assemblage characteristics? Ecol Indic 39:179–188. https://doi.org/10.1016/j.ecolind.2013.12.017

    Article  Google Scholar 

  • Rolls RJ, Heino J, Ryder DS et al (2018) Scaling biodiversity responses to hydrological regimes. Biol Rev 93:971–995. https://doi.org/10.1111/brv.12381

    Article  Google Scholar 

  • Roni P, Beechie TJ, Bilby RE et al (2002) A review of stream restoration techniques and a hierarchical strategy for prioritizing restoration in pacific Northwest Watersheds. North Am J Fish Manag 22:1–20. https://doi.org/10.1577/1548-8675(2002)022%3c0001:arosrt%3e2.0.co;2

    Article  Google Scholar 

  • Sadiq R, Haji SA, Cool G, Rodriguez MJ (2010) Using penalty functions to evaluate aggregation models for environmental indices. J Environ Manage 91:706–716. https://doi.org/10.1016/j.jenvman.2009.09.034

    Article  Google Scholar 

  • Sánchez-Pérez A, Oliva-Paterna FJ, Colin N et al (2020) Functional response of fish assemblage to multiple stressors in a highly regulated Mediterranean river system. Sci Total Environ 730:138989. https://doi.org/10.1016/j.scitotenv.2020.138989

    Article  Google Scholar 

  • Segurado P, Almeida C, Neves R et al (2018) Understanding multiple stressors in a Mediterranean basin: combined effects of land use, water scarcity and nutrient enrichment. Sci Total Environ 624:1221–1233. https://doi.org/10.1016/j.scitotenv.2017.12.201

    Article  Google Scholar 

  • Settele JR, Scholes R, Betts R et al (2014) Terrestrial and inland water systems. In: Field CB, Barros VR, Dokken DJ et al (eds) Climate Change 2014: Impacts, Adaptation, and Vulnerability Part A: Global and Sectoral Aspects. Contribution of Working Group II to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press, Cambridge, pp 271–359

    Google Scholar 

  • Shiau JT, Wu FC (2008) A histogram matching approach for assessment of flow regime alteration: application to environmental flow optimization. River Res Appl 24:914–928. https://doi.org/10.1002/rra.1102

    Article  Google Scholar 

  • Skoulikidis N, Amaxidis Y, Bertahas I et al (2006) Analysis of factors driving stream water composition and synthesis of management tools-A case study on small/medium Greek catchments. Sci Total Environ 362:205–241. https://doi.org/10.1016/j.scitotenv.2005.05.018

    Article  Google Scholar 

  • Skoulikidis N, Vardakas L, Karaouzas I et al (2011) Assessing water stress in Mediterranean lotic systems: insights from an artificially intermittent river in Greece. Aquat Sci 73:581–597. https://doi.org/10.1007/s00027-011-0228-1

    Article  Google Scholar 

  • Smeets E, Weterings R (1999) Environmental indicators: Typology and overview. Technical report No 25/1999. European Environment Agency (EEA), Copenhagen

  • Sofios S, Arabatzis G, Baltas E (2008) Policy for management of water resources in Greece. Environmentalist 28:185–194. https://doi.org/10.1007/s10669-007-9126-4

    Article  Google Scholar 

  • Steel AE, Peek RA, Lusardi RA, Yarnell SM (2018) Associating metrics of hydrologic variability with benthic macroinvertebrate communities in regulated and unregulated snowmelt-dominated rivers. Freshw Biol 63:844–858. https://doi.org/10.1111/fwb.12994

    Article  Google Scholar 

  • Tanchev L, Petkovski L, Mitovski S (2013) Dam engineering in Republic of Macedonia: Recent practice and plans. In: International Symposium. Dam engineering in Southeast Dam engineering in Southeast Southeastand Middle Europe. Recent experience and future outlooks. SLOCOLD, Ljubljana, Slovenia, pp 23–35

  • Theodoropoulos C, Karaouzas I, Vourka A, Skoulikidis N (2020) ELF – A benthic macroinvertebrate multi-metric index for the assessment and classification of hydrological alteration in rivers. Ecol Indic 108:105713. https://doi.org/10.1016/j.ecolind.2019.105713

    Article  Google Scholar 

  • Tupinambás TH, Cortes RMV, Hughes SJ et al (2016) Macroinvertebrate responses to distinct hydrological patterns in a tropical regulated river. Ecohydrology 9:460–471. https://doi.org/10.1002/eco.1649

    Article  Google Scholar 

  • Tzoraki O, De Girolamo AM, Gamvroudis C, Skoulikidis N (2016) Assessing the flow alteration of temporary streams under current conditions and changing climate by Soil and Water Assessment Tool model. Int J River Basin Manag 14:9–18. https://doi.org/10.1080/15715124.2015.1049182

    Article  Google Scholar 

  • United States Geological Survey (2010) Shuttle Radar Topography Mission 1 Arc-Second Global. https://www.usgs.gov/centers/eros/science/usgs-eros-archive-digital-elevation-shuttle-radar-topography-mission-srtm-1-arc?qt-science_center_objects=0#qt-science_center_objects. Accessed 18 Jul 2016

  • Ward JV (1989) The four-dimensional nature of lotic ecosystems. J North Am Benthol Soc 8:2–8. https://doi.org/10.2307/1467397

    Article  Google Scholar 

  • Zeiringer B, Seliger C, Greimel F, Schmutz S (2018) River hydrology, flow alteration, and environmental flow. In: Schmutz S, Sendzimir J (eds) Riverine Ecosystem Management. Aquatic Ecology Series 8. Springer, Cham, pp 67–89

    Chapter  Google Scholar 

  • Zogaris S, Tachos V, Economou AN et al (2018) A model-based fish bioassessment index for Eastern Mediterranean rivers: application in a biogeographically diverse area. Sci Total Environ 622–623:676–689. https://doi.org/10.1016/j.scitotenv.2017.11.293

    Article  Google Scholar 

  • Zuur A, Ieno E, Smith G (2007) Analysing ecological data. Springer, New York

    Book  Google Scholar 

Download references

Acknowledgements

This study used data from the project “Monitoring of the ecological water quality of rivers, and coastal and transitional waters of Greece to implement the Article 8 of Water Framework Directive 2000/60/EC” (MIS 375880, 375881, 375882, 375883, 375884, and 375885) funded by the Operational Program “Environment and Sustainable Development” 2007-2013, financed by the European Regional Development Fund. This study has been conducted under the project “Monitoring and recording of the status (quality, quantity, pressures, and uses) of surface waters of Greece” (MIS 5001676) funded by the Operational Program “Transport infrastructure, environment and sustainable development” 2014-2020, financed by European Regional Development Fund.

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Mentzafou, A., Katsafados, P., Papadopoulos, A. et al. An assessment of the relative impacts of key stressors on the hydrology of Greek river water bodies. Environ Earth Sci 81, 212 (2022). https://doi.org/10.1007/s12665-022-10346-4

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