Issue
Knowl. Manag. Aquat. Ecosyst.
Number 423, 2022
Freshwater ecosystems management strategies
Article Number 25
Number of page(s) 10
DOI https://doi.org/10.1051/kmae/2022021
Published online 07 December 2022
  • Allen GH, Pavelsky TM. 2018. Global extent of rivers and streams. Science 361: 585–588. [CrossRef] [MathSciNet] [PubMed] [Google Scholar]
  • Beaufort A, Diamond JS, Sauquet E, Moatar F. 2022. Spatial extrapolation of stream thermal peaks using heterogeneous time series at a national scale. Hydrol Earth Syst Sci 26: 3477–3495. [Google Scholar]
  • Belliard J, Ditche JM, Roset N, Dembski S. 2012. Guide pratique de mise en oeuvre des opérations de pêche à l'électricité. Onema, Vincennes, 31 p. [Google Scholar]
  • Bret V, Bergerot B, Capra H, Gouraud V, Lamouroux N. 2016. Influence of discharge, hydraulics, water temperature, and dispersal on density synchrony in brown trout populations (Salmo trutta). Can J Fish Aquat Sci 73: 319–329. [CrossRef] [Google Scholar]
  • Bret V, Capra H, Gouraud V, et al. 2017. Understanding inter-reach variation in brown trout (Salmo trutta) mortality rates using a hierarchical Bayesian state-space model. Can J Fish Aquat Sci 74: 1612–1627. [CrossRef] [Google Scholar]
  • Buisson L, Grenouillet G. 2009. Contrasted impacts of climate change on stream fish assemblages along an environmental gradient. Divers Distrib 15: 613–626. [CrossRef] [Google Scholar]
  • Buisson L, Thuiller W, Lek S, Lim P, Grenouillet G. 2008. Climate change hastens the turnover of stream fish assemblages. Glob Chang Biol 14: 2232–2248. [CrossRef] [Google Scholar]
  • Cattanéo F, Lamouroux N, Breil P, Capra H. 2002. The influence of hydrological and biotic processes on brown trout (Salmo trutta) population dynamics. Can J Fish Aquat Sci 59: 12–22. [CrossRef] [Google Scholar]
  • Clavel J, Poulet N, Porcher E, et al. 2013. A new freshwater biodiversity indicator based on fish community assemblages. PLOS ONE 8: e 80968. [Google Scholar]
  • Comte L, Grenouillet G. 2013. Do stream fish track climate change? Assessing distribution shifts in recent decades. Ecography 36: 1236–1246. [CrossRef] [Google Scholar]
  • Comte L, Murienne J, Grenouillet G. 2014. Species traits and phylogenetic conservatism of climate-induced range shifts in stream fishes. Nat Commun 5: 5053. [CrossRef] [PubMed] [Google Scholar]
  • Comte L, Hugueny B, Grenouillet G. 2016. Climate interacts with anthropogenic drivers to determine extirpation dynamics. Ecography 39: 1008–1016. [CrossRef] [Google Scholar]
  • Comte L, Carvajal‐Quintero J, Tedesco PA, et al. 2021. RivFishTIME: a global database of fish time-series to study global change ecology in riverine systems. Glob Ecol Biogeogr 30: 38–50. [CrossRef] [Google Scholar]
  • Costedoat C, Pech N, Chappaz R, Salducci MD, Lim P, Gilles A. 2004. Étude de l'hybridation introgressive entre Chondrostoma t. toxostoma et chondrostoma n. nasus (Téléostéen, Cyprinidae) en utilisant une approche multiple. Cybium 28: 51–61. [Google Scholar]
  • Denys GPJ, Dettai A, Persat H, Hautecoeur M, Keith P. 2014. Morphological and molecular evidence of three species of pikes Esox spp. (Actinopterygii, Esocidae) in France, including the description of a new species (vol 337, pg 521, 2014). C R Biol 337: 657–659. [CrossRef] [Google Scholar]
  • Denys GPJ, Dettai A, Persat H, Daszkiewicz P, Hautecœur M, Keith P. 2020. Revision of Phoxinus in France with the description of two new species (Teleostei, Leuciscidae). Cybium 44: 205–237. [Google Scholar]
  • Dudgeon D. 2019. Multiple threats imperil freshwater biodiversity in the Anthropocene. Curr Biol 29: R960–R967. [CrossRef] [PubMed] [Google Scholar]
  • Dudgeon D, Arthington AH, Gessner MO, et al. 2006. Freshwater biodiversity: importance, threats, status and conservation challenges. Biol Rev 81: 163–182. [CrossRef] [PubMed] [Google Scholar]
  • Gargominy O, Tercerie S, Régnier C, et al. 2021. TAXREF v13, référentiel taxonomique pour la France: Méthodologie, mise en œuvre et diffusion. Rapport UMS PatriNat (OFB-CNRS-MNHN), Paris, 64 p. [Google Scholar]
  • Gauliard C, Dettai A, Persat H, Keith P, Denys GPJ. 2019. Barbatula leoparda (Actinopterygii, Nemacheilidae), a new endemic species of stone loach of French Catalonia. Cybium 43: 169–177. [Google Scholar]
  • Hughes K. 2021. The World's forgotten fishes. World Wide Fund for Nature (WWF), 47 p. [Google Scholar]
  • Hugueny B, Movellan A, Belliard J. 2011. Habitat fragmentation and extinction rates within freshwater fish communities: a faunal relaxation approach. Glob Ecol Biogeogr 20: 449–463. [CrossRef] [Google Scholar]
  • Ihaka R, Gentleman R. 1996. R: a language for data analysis and graphics. J Comput Graph Stat 5: 299–314. [Google Scholar]
  • IUCN, MNHN. 2012. Crustacés d'eau douce de France métropolitaine. Paris, France. La Liste rouge des espèces menacées en France. [Google Scholar]
  • IUCN, MNHN, SFI, AFB. 2019. Poissons d'eau douce de France métropolitaine. La Liste rouge des espèces menacées en France, Paris. [Google Scholar]
  • Jeanroy C, Denys GPJ. 2019. Morphological traits allow distinguishing their hybrids from the Northern pike, Esox lucius, and the Aquitanian pike, Esox aquitanicus (Actinopterygii, Esociformes). Cybium 43: 227–232. [Google Scholar]
  • Keith P, Poulet N, Denys G, Changeux T, Feunteun É, Persat H. 2020. Les Poissons d'eau douce de France. Deuxième édition. Muséum national d'Histoire naturelle, Paris & Biotope, Mèze, 704 p. [Google Scholar]
  • Lambert A. 1997. Introduction de poissons dans les milieux aquatiques continentaux: «Quid de leurs parasites?». Bull Fr Pêche Piscic 344-345: 323–333. [CrossRef] [EDP Sciences] [Google Scholar]
  • Manné S, Poulet N. 2008. First record of the western tubenose goby Proterorhinus semilunaris (Heckel, 1837) in France. Knowl Manag Aquat Ecosyst 1–5. [Google Scholar]
  • Marzin A, Archaimbault V, Belliard J, Chauvin C, Delmas F, Pont D. 2012. Ecological assessment of running waters: do macrophytes, macroinvertebrates, diatoms and fish show similar responses to human pressures? Ecol Indic 23: 56–65. [CrossRef] [Google Scholar]
  • Marzin A, Delaigue O, Logez M, Belliard J, Pont D. 2014. Uncertainty associated with river health assessment in a varying environment: the case of a predictive fish-based index in France. Ecol Indic 43: 195–204. [CrossRef] [Google Scholar]
  • Oberdorff T. 2022. Time for decisive actions to protect freshwater ecosystems from global changes. Knowl Manag Aquat Ecosyst 19. [CrossRef] [EDP Sciences] [Google Scholar]
  • Oberdorff T, Hugueny B, Compin A, Belkessam D. 1998. Non-interactive fish communities in the coastal streams of North-western France. J Anim Ecol 37: 472–484. [CrossRef] [Google Scholar]
  • Oberdorff T, Hugueny B, Vigneron T. 2001a. Is assemblage variability related to environmental variability? An answer for riverine fish. Oikos 93: 419–428. [Google Scholar]
  • Oberdorff T, Pont D, Hugueny B, Chessel D. 2001b. A probabilistic model characterizing fish assemblages of French rivers: A framework for environmental assessment. Freshw Biol 46: 399–415. [CrossRef] [Google Scholar]
  • Oberdorff T, Pont D, Hugueny B, Porcher J-P. 2002. Development and validation of a fish-based index for the assessment of 'river health' in France. Freshw Biol 47: 1720–1734. [CrossRef] [Google Scholar]
  • PatriNat. 2019. Biodiversité d'intérêt communautaire en France : Un bilan qui reste préoccupant − Résultats de la troisième évaluation des habitats et espèces de la DHFF (2013-2018) − Note de synthèse, 4 p. [Google Scholar]
  • Peng RD. 2011. Reproducible research in computational science. Science 334: 1226–1227. [CrossRef] [PubMed] [Google Scholar]
  • Pouilly M. 1994. Relations entre l'habitat physique et les poissons des zones à Cyprinidés rhéophiles dans trois cours d'eau du bassin rhodanien: Vers une simulation de la capacité d'accueil pour les peuplements. [Thèse de doctorat], Université Claude Bernard − Lyon I, 256 p. [Google Scholar]
  • Poulet N, Beaulaton L, Dembski S. 2011. Time trends in fish populations in metropolitan France: insights from national monitoring data. J Fish Biol 79: 1436–1452. [CrossRef] [PubMed] [Google Scholar]
  • Reid AJ, Carlson AK, Creed IF, et al. 2019. Emerging threats and persistent conservation challenges for freshwater biodiversity. Biol Rev 94: 849–873. [CrossRef] [PubMed] [Google Scholar]
  • Reyjol Y, Hugueny B, Pont D, et al. 2007. Patterns in species richness and endemism of European freshwater fish. Glob Ecol Biogeogr 16: 65–75. [CrossRef] [Google Scholar]
  • Santos R, Poulet N, Besnard A. 2021. Life-history traits correlate with temporal trends in freshwater fish populations for common European species. Freshw Biol 66: 317–331. [CrossRef] [Google Scholar]
  • Su G, Logez M, Xu J, Tao S, Villéger S, Brosse S. 2021. Human impacts on global freshwater fish biodiversity. Science 371: 835–838. [CrossRef] [PubMed] [Google Scholar]
  • Tales E, Keith P, Oberdorff T. 2004. Density-range size relationships in French riverine fishes. Oecologia 138: 360–370. [CrossRef] [PubMed] [Google Scholar]
  • Tomanova S, Tedesco PA, Roset N, Berrebi dit Thomas R, Belliard J. 2013. Systematic point sampling of fish communities in medium- and large-sized rivers: Sampling procedure and effort. Fish Manag Ecol 20: 533–543. [CrossRef] [Google Scholar]
  • Vörösmarty CJ, McIntyre PB, Gessner MO, et al. 2010. Global threats to human water security and river biodiversity. Nature 467: 555–561. [CrossRef] [PubMed] [Google Scholar]
  • Wickham H. 2015. R Packages: Organize, test, document, and share your code, O'Reilly Media, 201 p. [Google Scholar]
  • Wilkinson MD, Dumontier M, Aalbersberg IjJ, et al. 2016. The FAIR Guiding Principles for scientific data management and stewardship. Sci Data 3: 160018. [CrossRef] [PubMed] [Google Scholar]
  • Xie Y, Allaire JJ, Grolemund G. 2018. R Markdown: the definitive guide, Chapman; Hall/CRC, London, 338 p. [Google Scholar]

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