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Sampling mass mortality events to enable diagnoses: a protocol using freshwater mussels

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  • معلومة اضافية
    • Contributors:
      University of Cambridge UK (CAM); The University of Tennessee Knoxville; Department of Earth and Environmental Sciences Yamagata; Yamagata University; Università degli Studi di Milano = University of Milan (UNIMI); State University of New York at Oswego (SUNY Oswego); State University of New York (SUNY); National Wildlife Health Center; King's College London (KCL); Interactions Hôtes-Pathogènes-Environnements (IHPE); Université de Perpignan Via Domitia (UPVD)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)
    • بيانات النشر:
      CCSD
    • الموضوع:
      2025
    • Collection:
      Université de Montpellier: HAL
    • نبذة مختصرة :
      International audience ; Many taxa around the globe are threatened by often unexplained mass mortality events (MMEs), which can decimate populations and compromise key ecosystem functions. One example of a highly threatened taxon facing frequent MMEs is freshwater mussels (Unionida). There has been a recent increase in interest in understanding the causes of freshwater mussel MMEs, but standardised methodologies for how best to respond to them to facilitate diagnoses are unavailable. When an MME is observed, swift and appropriate sample collection is imperative owing to the transient nature of these phenomena. Here we provide structured guidance that will facilitate rapid and appropriate sampling of MMEs, using freshwater mussels as an example. We set out standardised procedures for sample collection, preparation, and preservation. The procedures we outline will improve our capacity for diagnostic investigations of MMEs and other mortality events, not only in freshwater mussels but also across many other taxa. This, in turn, can inform appropriate management responses.
    • الرقم المعرف:
      10.1111/2041-210X.14480
    • الدخول الالكتروني :
      https://hal.science/hal-04879576
      https://hal.science/hal-04879576v1/document
      https://hal.science/hal-04879576v1/file/Cossey-2025-MethodsEcolEvol-Sampling.pdf
      https://doi.org/10.1111/2041-210X.14480
    • Rights:
      info:eu-repo/semantics/OpenAccess
    • الرقم المعرف:
      edsbas.D831B233