Knowl. Manag. Aquat. Ecosyst.
Number 424, 2023
Anthropogenic impact on freshwater habitats, communities and ecosystem functioning
Article Number 18
Number of page(s) 7
Published online 12 July 2023
  • Bonada N, Prat N, Resh VH, Statzner B. 2006. Developments in aquatic insect 271 biomonitoring: a comparative analysis of recent approaches. Annu Rev Entomol 51: 495–523. [CrossRef] [PubMed] [Google Scholar]
  • Bonada N, Rieradevall M, Prat N. 2007. Interaction of spatial and temporal heterogeneity: constraints on macroinvertebrate community structure and species traits in a Mediterranean river. Hydrobiologia 589: 91–106. [CrossRef] [Google Scholar]
  • Blocksom KA, Flotemersch JE. 2005. Comparison of macroinvertebrate sampling methods for nonwadeable streams. Environ Monit Assess 102: 243–262. [PubMed] [Google Scholar]
  • Buffagni A, Erba S, Aquilano G, Armanini DG, Beccari C, Casalegno C, Cazzola M, Demartini D, Gavazzi N, Kemp LJ, Mirolo N, Rusconi M. 2007. Macroinvertebrati acquatici e direttiva 2000/60/EC (WFC) − parte B. Descrizione degli habitat fluviali a supporto del campionamento biologico. IRSA-CNR Notiziaro dei Metodi Analitici 1: 28–52. [Google Scholar]
  • Comiti F. 2012. How natural are Alpine mountain rivers? Evidence from the Italian Alps. Earth Sur Proc Land 37: 693–707. [CrossRef] [Google Scholar]
  • Doretto A, Bo T, Bona F, Apostolo M, Bonetto D, Fenoglio, S. 2019. Effectiveness of artificial floods for benthic community recovery after sediment flushing from a dam. Environ Monit Assess 191: 1–12. [CrossRef] [Google Scholar]
  • Doretto A, Piano E, Fenoglio S, Bona F, Crosa G, Espa P, Quadroni S. 2021. Beta-diversity and stressor specific index reveal patterns of macroinvertebrate community response to sediment flushing. Ecol Indic 122: 107256. [CrossRef] [Google Scholar]
  • Espa P, Batalla RJ, Brignoli ML, Crosa G, Gentili G, Quadroni S. 2019. Tackling reservoir siltation by controlled sediment flushing: impact on downstream fauna and related management issues. Plos One 14: e0218822. [CrossRef] [PubMed] [Google Scholar]
  • Grzybkowska M, Kucharski L, Dukowska M, Takeda AM, Lik J, Leszczyńska J. 2017. Submersed aquatic macrophytes and associated fauna as an effect of dam operation on a large lowland river. Ecol Eng 99: 256–264. [CrossRef] [Google Scholar]
  • Horsak M, Bojková J, Zahrádková S, Omesová M, Helešic J. 2009. Impact of reservoirs and channelization on lowland river macroinvertebrates: a case study from Central Europe. Limnologica 39: 140–151. [CrossRef] [Google Scholar]
  • Laini A, Guareschi S, Bolpagni R, Burgazzi G, Bruno D, Gutiérrez-Cánovas C, Miranda R, Mondy C, Várbíró G, Cancellario T. 2022. biomonitoR: an R package for calculating taxonomic and functional indices for river biomonitoring. PeerJ 10: e14183. [CrossRef] [Google Scholar]
  • Laini A, Burgazzi G, Chadd R, England J, Tziortzis I, Ventrucci M, Vezza P, Wood PJ, Viaroli P, Guareschi S. 2022. Using invertebrate functional traits to improve flow variability assessment within European rivers. Sci Tot Environ 832: 155047. [CrossRef] [Google Scholar]
  • Laliberté E, Legendre P, Shipley B, Laliberté ME. 2014. Package ‘FD’. Measuring functional diversity from multiple traits, and other tools for functional ecology. Version 1–0. [Google Scholar]
  • Larsen S, Bruno MC, Zolezzi G. 2019. WFD ecological status indicator shows poor correlation with flow parameters in a large Alpine catchment. Ecol Indic 98: 704–711. [CrossRef] [Google Scholar]
  • Leitner P, Borgwardt F, Birk S, Graf W. 2021. Multiple stressor effects on benthic macroinvertebrates in very large European rivers − a typology-based evaluation of faunal responses as a basis for future bioassessment. Sci Total Environ 756: 143472. [CrossRef] [PubMed] [Google Scholar]
  • López-Rodríguez MJ, Marquez Muñoz C, Ripoll-Martín E, de Figueroa JMT. 2019. Effect of shifts in habitats and flow regime associated to water diversion for agriculture on the macroinvertebrate community of a small watershed. Aquat Ecol 53: 483–495. [CrossRef] [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]
  • Nukazawa K, Kajiwara S, Saito T, Suzuki Y. 2020. Preliminary assessment of the impacts of sediment sluicing events on stream insects in the Mimi River, Japan. Ecol Eng 145: 105726. [CrossRef] [Google Scholar]
  • Oksanen J, Blanchet FG, Friendly M, Kindt R, Legendre P, McGlinn D, Minchin PR, O'Hara RB, Simpson GL, Solymos P, Stevens MHH, Szoecs E, Wagner H. 2015. Vegan: community ecology package. R Package-Version 2. 2–1. [Google Scholar]
  • Ogbeibu AE, Oribhabor BJ. 2002. Ecological impact of river impoundments using benthic macro-invertebrates as indicators. Wat Res 36: 2427–2436. [CrossRef] [Google Scholar]
  • Piano E, Doretto A, Mammola S, Falasco E, Fenoglio S, Bona F. 2020. Taxonomic and functional homogenisation of macroinvertebrate communities in recently intermittent Alpine watercourses. Freshw Biol 65: 2096–2107. [CrossRef] [Google Scholar]
  • Poff NL, Allan JD, Bain MB, Karr JR, Prestegaard KL, Richter BD, Sparks RE, Stromberg JC. 1997. The natural flow regime. BioScience 47: 769–784. [CrossRef] [Google Scholar]
  • R Core Team. 2022. R: a language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing. [Google Scholar]
  • Tachet H, Bournaud M, Richoux P, Usseglio-Polatera P. 2010. Invertébrés d'eau douce: systématique, biologie, écologie, CNRS Editions, Paris, 588 p. [Google Scholar]
  • Tonkin JD, Poff NL, Bond NR, Horne A, Merritt D, Reynolds LV, Olden JD, Ruhi A, Lytle DA. 2019. Prepare river ecosystems for an uncertain future. Nature 570: 303. [Google Scholar]
  • Weigel BM, Dimick JJ. 2011. Development, validation, and application of a macroinvertebrate-based Index of Biotic Integrity for nonwadeable rivers of Wisconsin. J N Am Benthol Soc 30: 665–679. [CrossRef] [Google Scholar]
  • Wickham H, Chang W, Wickham MH. 2016. Package ‘ggplot2’. Create elegant data visualisations using the grammar of graphi graphics. Version 2 (1), 1–189. [Google Scholar]
  • White JC, David M Hannah DM, House A, Beatson SJV, Martin A, Wood PJ. 2017. Macroinvertebrate responses to flow and stream temperature variability across regulated and non-regulated rivers. Ecohydrology 10: e1773. [CrossRef] [Google Scholar]
  • Wu H, Johnson BR. 2019. Climate change will both exacerbate and attenuate urbanization impacts on streamflow regimes in southern Willamette Valley, Oregon. River Res Appl 35: 818–832. [CrossRef] [Google Scholar]
  • Zarfl C, Lumsdon AE, Berlekamp J, Tydecks L, Tockner K. 2015. A global boom in hydropower dam construction. Aquat Sci 77: 161–170. [CrossRef] [Google Scholar]

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