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Long-term trends in crayfish invasions across European rivers

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  • معلومة اضافية
    • بيانات النشر:
      Elsevier
    • الموضوع:
      2023
    • Collection:
      Universidade de Coimbra: Estudo Geral
    • نبذة مختصرة :
      Europe has experienced a substantial increase in non-indigenous crayfish species (NICS) since the mid-20th century due to their extensive use in fisheries, aquaculture and, more recently, pet trade. Despite relatively long invasion histories of some NICS and negative impacts on biodiversity and ecosystem functioning, large spatio-temporal analyses of their occurrences are lacking. Here, we used a large freshwater macroinvertebrate database to evaluate what information on NICS can be obtained from widely applied biomonitoring approaches and how usable such data is for descriptions of trends in identified NICS species. We found 160 time-series containing NICS between 1983 and 2019, to infer temporal patterns and environmental drivers of species and region-specific trends. Using a combination of meta-regression and generalized linear models, we found no significant temporal trend for the abundance of any species (Procambarus clarkii, Pacifastacus leniusculus or Faxonius limosus) at the European scale, but identified species-specific predictors of abundances. While analysis of the spatial range expansion of NICS was positive (i.e. increasing spread) in England and negative (significant retreat) in northern Spain, no trend was detected in Hungary and the Dutch-German-Luxembourg region. The average invasion velocity varied among countries, ranging from 30 km/year in England to 90 km/year in Hungary. The average invasion velocity gradually decreased over time in the long term, with declines being fastest in the Dutch-German-Luxembourg region, and much slower in England. Considering that NICS pose a substantial threat to aquatic biodiversity across Europe, our study highlights the utility and importance of collecting high resolution (i.e. annual) biomonitoring data using a sampling protocol that is able to estimate crayfish abundance, enabling a more profound understanding of NICS impacts on biodiversity.
    • ISSN:
      00489697
    • Relation:
      #PLACEHOLDER_PARENT_METADATA_VALUE#; Grant Agency of the University of South Bohemia, project number 065/2022/Z; Spanish Ministry of Science and Education through the project PID2020- 115830GB-100; https://hdl.handle.net/10316/113711
    • الرقم المعرف:
      10.1016/j.scitotenv.2023.161537
    • الدخول الالكتروني :
      https://hdl.handle.net/10316/113711
      https://doi.org/10.1016/j.scitotenv.2023.161537
    • Rights:
      info:eu-repo/semantics/openAccess
    • الرقم المعرف:
      edsbas.4606D0BA