EDP Sciences logo
Submit your paper
Search
Menu
All issues No 426 (2025) Knowl. Manag. Aquat. Ecosyst., 426 (2025) 21 References
Issue
Knowl. Manag. Aquat. Ecosyst.
Number 426, 2025
Riparian ecology and management
Article Number 21
Number of page(s) 11
DOI https://doi.org/10.1051/kmae/2025016
Published online 17 July 2025
  • Abbà M, Ruffino C, Bo T, Bonetto D, Bovero S, Candiotto A, Comoglio C, Lo Conte P, Nyqvist D, Spairani M, Fenoglio S. 2024. Distribution of fish species in the upper Po River Basin (NW Italy): a synthesis of 30 years of data. J Limnol 83: 122–132. [Google Scholar]
  • Almodóvar A, Nicola GG. 1999. Effects of a small hydropower station upon brown trout Salmo trutta L. in the River Hoz Seca (Tagus basin, Spain) one year after regulation. Regul Rivers Res Manag 15: 477–484. [Google Scholar]
  • Anderson EP, Freeman MC, Pringle CM. 2006. Ecological consequences of hydropower development in Central America: impacts of small dams and water diversion on neotropical stream fish assemblages. River Res Appl 22: 397–411. [Google Scholar]
  • Arantes CC, Fitzgerald DB, Hoeinghaus DJ, Winemiller KO. 2019. Impacts of hydroelectric dams on fishes and fisheries in tropical rivers through the lens of functional traits. Curr Opin Environ Sustain 37: 28–40. [Google Scholar]
  • Benejam L, Saura‐Mas S, Bardina M, Solà C, Munné A, García‐Berthou E. 2016. Ecological impacts of small hydropower plants on headwater stream fish: from individual to community effects. Ecol Freshw Fish 25: 295–306. [Google Scholar]
  • Bo T, Cucco M, Fenoglio S, Malacarne G. 2006. Colonisation patterns and vertical movements of stream invertebrates in the interstitial zone: a case study in the Apennines, NW Italy. Hydrobiologia 568: 67–78. [Google Scholar]
  • Bolpagni R, Bresciani M, Fenoglio S. 2017. Aquatic biomonitoring: Lessons from the past, challenges for the future. J Limnol 76: 1–4. [Google Scholar]
  • Brighenti S, Tolotti M, Bruno MC, Wharton G, Pusch MT, Bertoldi W. 2019. Ecosystem shifts in Alpine streams under glacier retreat and rock glacier thaw: A review. Sci Total Environ 675: 542–559. [Google Scholar]
  • Brown LE, Dickson NE, Carrivick JL, Fuereder L. 2015. Alpine river ecosystem response to glacial and anthropogenic flow pulses. Freshw Sci 34: 1201–1215. [Google Scholar]
  • Brown LE, Hannah DM, Milner AM. 2003. Alpine stream habitat classification: an alternative approach incorporating the role of dynamic water source contributions. Arct Antarct Alp Res 35: 313–322. [Google Scholar]
  • Brunson JC. 2020. “ggalluvial: Layered Grammar for Alluvial Plots. J Open Source Softw 5: 2017. [Google Scholar]
  • Buffagni A, Erba S, Pagnotta R. 2008. Definizione dello Stato ecologico dei fiumi sulla base dei macroinvertebrati bentonici per la 2000/60/EC (WFD): Il sistema di classificazione MacrOper per il monitoraggio operativo. IRSA-CNR Notiziario dei Metodi Analitici (Numero Speciale 2008): 25–41. [Google Scholar]
  • Buss DF, Carlisle DM, Chon TS, Culp J, Harding JS, Keizer-Vlek HE, Robinson WA, Strachan S, Thirion C, Hughes RM. 2015. Stream biomonitoring using macroinvertebrates around the globe: a comparison of large-scale programs. Environ Monit Assess 187: 1–21. [Google Scholar]
  • Campaioli S, Ghetti PF, Minelli A, Ruffo S. 1994. Manuale per il riconoscimento dei macroinvertebrati delle acque dolci italiane (vol. I), Provincia Autonoma di Trento, Trento, 376 p. [Google Scholar]
  • Campaioli S, Ghetti PF, Minelli A, Ruffo S. 1999. Manuale per il riconoscimento dei macroinvertebrati delle acque dolci italiane (vol. II), Provincia Autonoma di Trento, Trento, 144 p. [Google Scholar]
  • Česonienė L, Dapkienė M, Punys P. 2021. Assessment of the impact of small hydropower plants on the ecological status indicators of water bodies: A case study in Lithuania. Water 13: 433. [Google Scholar]
  • Chiogna G, Majone B, Paoli KC, Diamantini E, Stella E, Mallucci S, Lencioni V, Zandonai F, Bellin A. 2016. A review of hydrological and chemical stressors in the Adige catchment and its ecological status. Sci Total Environ 540: 429–443. [Google Scholar]
  • Cooper AR, Infante DM, Daniel WM, Wehrly KE, Wang L, Brenden TO. 2017. Assessment of dam effects on streams and fish assemblages of the conterminous USA. Sci Total Environ 586: 879–889. [Google Scholar]
  • Costea G, Pusch MT, Bănăduc D, Cosmoiu D, Curtean-Bănăduc A. 2021. A review of hydropower plants in Romania: Distribution, current knowledge, and their effects on fish in headwater streams. Renew Sustain Energy Rev 145: 111003. [Google Scholar]
  • Couto TB, Olden JD. 2018. Global proliferation of small hydropower plants-science and policy. Front Ecol Environ 16: 91–100. [Google Scholar]
  • Couto TB, Rezende RS, de Aquino PP, Costa‐Pereira R, de Campos GL, Occhi TV, Vitule JR, Espírito-Santo HM, Soares YF, Olden JD. 2023. Effects of small hydropower dams on macroinvertebrate and fish assemblages in southern Brazil. Freshw Biol 68: 956–971. [Google Scholar]
  • Dagnino A, Bo T, Copetta A, Fenoglio S, Oliveri C, Bencivenga M, Felli A, Viarengo A. 2013. Development and application of an innovative expert decision support system to manage sediments and to assess environmental risk in freshwater ecosystems. Environ Int 60: 171–182 [Google Scholar]
  • Dudgeon D, Arthington AH, Gessner MO, Kawabata ZI, Knowler DJ, Lévêque C, Naiman RJ, Prieur-Richard AH, Soto D, Stiassny MLJ, Sullivan CA. 2006. Freshwater biodiversity: importance, threats, status and conservation challenges. Biol Rev Camb Philos Soc 81: 163–182. [CrossRef] [PubMed] [Google Scholar]
  • Dudgeon D. 2019. Multiple threats imperil freshwater biodiversity in the Anthropocene. Curr Biol 29: R960–R967. [CrossRef] [PubMed] [Google Scholar]
  • Fochetti R, Tierno de Figueroa JM. 2008. Fauna d'Italia, vol. XLIII, Bologna: Plecoptera. Calderini Ed., 350 p. [Google Scholar]
  • Freyhof J, Brooks E. 2011. European Red List of Freshwater Fishes. Luxembourg: Publications Office of the European Union. [Google Scholar]
  • Füreder L. 1999. High alpine streams: cold habitats for insect larvae. In Margesin R, Schinner F, eds. Cold-adapted organisms: ecology, physiology, enzymology and molecular biology, Berlin, Heidelberg: Springer, pp. 181–196. [Google Scholar]
  • Füreder L, Schütz C, Wallinger M, Burger R. 2001. Physico‐chemistry and aquatic insects of a glacier‐fed and a spring‐fed alpine stream. Freshw Biol 46: 1673–1690. [Google Scholar]
  • González JM, Recuerda M, Elosegi A. 2018. Crowded waters: short-term response of invertebrate drift to water abstraction. Hydrobiologia 819: 39–51. [Google Scholar]
  • Guareschi S, Laini A, Racchetti E, Bo T, Fenoglio S, Bartoli M. 2014. How do hydromorphological constraints and regulated flows govern macroinvertebrate communities along an entire lowland river? Ecohydrology 7: 366–377. [Google Scholar]
  • He F, Zarfl C, Tockner K, Olden JD, Campos Z, Muniz F, Svenning JC, Jähnig, SC. 2024. Hydropower impacts on riverine biodiversity. Nat Rev Earth Environ 5: 755–772. [Google Scholar]
  • IRSA. 2008. Direttiva 2000/60/EC (WFD) − Condizioni di riferimento per fiumi e laghi, classificazione dei fiumi sulla base dei macroinvertebrati acquatici, Istituto di Ricerca sulle Acque, Notiziario dei metodi analitici, IS SN 1974-8345 88 pp. [Google Scholar]
  • IRSA. 2014. Linee guida per la valutazione della componente macrobentonica fluviale ai sensi del DM260/2010. Istituto di Ricerca sulle Acque, Manuali e linee Guida 107/14, 99 pp. [Google Scholar]
  • Jager HI, Efroymson RA, Opperman JJ, Kelly MR. 2015. Spatial design principles for sustainable hydropower development in river basins. Renew Sustain Energy Rev 45: 808–816. [Google Scholar]
  • Kibler KM, Tullos DD. 2013. Cumulative biophysical impact of small and large hydropower development in Nu River, China. Water Resour Res 49: 3104–3118. [Google Scholar]
  • Körner C. 2003. Alpine plant life: Functional plant ecology of high mountain ecosystems. Berlin Heidelberg: Springer, 349 p. https://doi.org/10.1007/978-3-642-18970-8. [Google Scholar]
  • Krajenbrink HJ, Acreman M, Dunbar MJ, Hannah DM, Laize CL, Wood PJ. 2019. Macroinvertebrate community responses to river impoundment at multiple spatial scales. Sci Total Environ 650: 2648–2656. [Google Scholar]
  • Kubečka J, Matěna J, Hartvich P. 1997. Adverse ecological effects of small hydropower stations in the Czech Republic: 1. Bypass plants. Regul Rivers Res Manage 13: 101–113. [Google Scholar]
  • Kuriqi A, Pinheiro AN, Sordo‐Ward Á, Bejarano MD, Garrote L. 2021. Ecological impacts of run-of-river hydropower plants—Current status and future prospects on the brink of energy transition. Renew Sustain Energy Rev 142: 110833. [Google Scholar]
  • Kuznetsova A, Brockhoff PB, Christensen RHB. 2017. lmerTest Package: Tests in Linear Mixed Effects Models. J Stat Softw 82: 1–26. [Google Scholar]
  • Laini A, Viaroli P, Bolpagni R, Cancellario T, Racchetti E, Guareschi S. 2019. Taxonomic and functional responses of benthic macroinvertebrate communities to hydrological and water quality variations in a heavily regulated river. Water 11: 1478. [Google Scholar]
  • Laini A, Burgazzi G, Chadd R, England J, Tziortzis I, Ventrucci M, Vezza P, Wood PJ, Viaroli P, Guareschi S. 2022a. Using invertebrate functional traits to improve flow variability assessment within European rivers. Sci Total Environ 832: 155047. [Google Scholar]
  • Laini A, Guareschi S, Bolpagni R, Burgazzi G, Bruno D, Gutiérrez-Cánovas C, Miranda R, Mondy C, Várbíró G, Cancellario T. 2022b. biomonitoR: an R package for managing ecological data and calculating biomonitoring indices. PeerJ 10: e 14183. [Google Scholar]
  • Lange K, Wehrli B, Åberg U, Bätz N, Brodersen J, Fischer M, Hermoso V, Liermann CR, Schmid M, Wilmsmeier L, Weber C. 2019. Small hydropower goes unchecked. Front Ecol Environ 17: 256–258. [Google Scholar]
  • Lenth R. 2024. emmeans: Estimated Marginal Means, aka Least-Squares Means. R package version 1.10.3, https://CRAN.R-project.org/package=emmeans. [Google Scholar]
  • Lin Z, Qi X, Li M, Duan Y, Gao H, Liu G, Khan S, Mu H, Cai Q, Messyasz B, Wu N. 2024. Differential impacts of small hydropower plants on macroinvertebrate communities upstream and downstream under ecological flow. J Environ Manage 370: 123070. [Google Scholar]
  • Luo D, Ganesh S, Koolaard J. 2024. predictmeans: Predicted Means for Linear and Semiparametric Models. R package version 1.1.0, https://CRAN.R-project.org/package=predictmeans. [Google Scholar]
  • Malard F, Tockner K, Ward JV. 1999. Shifting dominance of subcatchment water sources and flow paths in a glacial floodplain, Val Roseg, Switzerland. Arct Antarct Alp Res 31: 135–150. [Google Scholar]
  • Merritt RW, Fenoglio S, Cummins KW. 2017. Promoting a functional macroinvertebrate approach in the biomonitoring of Italian lotic systems. J Limnol 76: 5–8 [Google Scholar]
  • Merritt RW, Cummins KW, Burton TM. 1984. The role of aquatic insects in the cycling of nutrients. In Resh VH, Rosenberg DM eds. The Ecology of Aquatic Insects, New York: Praeger Publishers, pp. 134–163. [Google Scholar]
  • Messori R. 2006. Guide Entomologiche, 3 Volumi: Effimere, Tricotteri, Plecotteri. Edizioni Fly Line Ecosistemi Fluviali, 69 p. [Google Scholar]
  • Milner AM, Petts GE. 1994. Glacial rivers: physical habitat and ecology. Freshw Biol 32: 295–307. [Google Scholar]
  • Naimi B, Hamm NA, Groen TA, Skidmore AK, Toxopeus AG. 2014. Where is positional uncertainty a problem for species distribution modelling? Ecography 37: 191–203. [Google Scholar]
  • Olden JD, Naiman RJ. 2010. Incorporating thermal regimes into environmental flows assessments: modifying dam operations to restore freshwater ecosystem integrity. Freshw Biol 55: 86–107. [Google Scholar]
  • Pomeroy J, Bernhardt M, Marks D. 2015. Research network to track alpine water. Nature 521: 32–32. [Google Scholar]
  • Resh VH. 2008. Which group is best? Attributes of different biological assemblages used in freshwater biomonitoring programs. Environ Monit Assess 138: 131–138 [Google Scholar]
  • Rossaro B, Boggero A, Lods Crozet B, Free G, Lencioni V, Marziali L. 2011. A comparison of different biotic indices based on benthic macro-invertebrates in Italian lakes. J Limnol 70: 109–122. [Google Scholar]
  • Sakamoto Y, Ishiguro M, Kitagawa G. 1986. Akaike information criterion statistics. D. Reidel Publishing Company, 320 p. [Google Scholar]
  • Scotti A, Jacobsen D, Ștefan V, Tappeiner U, Bottarin R. 2022. Small hydropower—small ecological footprint? A multi-annual environmental impact analysis using aquatic macroinvertebrates as bioindicators. Part 1: Effects on community structure. Front Environ Sci 10: 902603. [Google Scholar]
  • Tachet H, Richoux P, Bourrnaud M, Usseglio-Polatera P. 2010. Invertébrés d'eau douce, systématique, biologie, écologie. Paris: CNRS Editions, 608 p. [Google Scholar]
  • Team R.C. 2020. RA language and environment for statistical computing, R Foundation for Statistical. Computing. [Google Scholar]
  • Testolin R, Attorre F, Jiménez‐Alfaro B. 2020. Global distribution and bioclimatic characterization of alpine biomes. Ecography 43: 779–788. [Google Scholar]
  • Tockner K, Malard F, Uehlinger U, Ward JV. 2002. Nutrients and organic matter in a glacial river—floodplain system (Val Roseg, Switzerland). Limnol Oceanogr 47: 266–277. [Google Scholar]
  • Viviroli D, Archer DR, Buytaert W, Fowler HJ, Greenwood GB, Hamlet AF, Huang Y, Koboltschnig G, Litaor MI, López-Moreno JI, Lorentz S, Schädler B, Schreier H, Schwaiger K, Vuille M, Woods R. 2011. Climate change and mountain water resources: overview and recommendations for research, management and policy. Hydrol Earth Syst Sci 15: 471–504. [Google Scholar]
  • Ward JV. 1994. Ecology of alpine streams. Freshw Biol 32: 277–294. [Google Scholar]
  • Wasti A, Ray P, Wi S, Folch C, Ubierna M, Karki P. 2022. Climate change and the hydropower sector: A global review. Wiley Interdiscip Rev Clim 13: e757. [Google Scholar]
  • Wickham H. 2011. ggplot2. Wiley Interdiscip Rev Comput Stat 3: 180–185. [Google Scholar]
  • Xiaocheng F, Tao T, Wanxiang J, Fengqing L, Naicheng W, Shuchan Z, Qinghua C. 2008. Impacts of small hydropower plants on macroinvertebrate communities. Acta Ecol Sin 28: 45–52. [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.