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Emerging technologies revolutionise insect ecology and monitoring

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  • معلومة اضافية
    • Contributors:
      Centre d'Ecologie et des Sciences de la COnservation (CESCO); Muséum national d'Histoire naturelle (MNHN)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS); Centre d’Ecologie Fonctionnelle et Evolutive (CEFE); Université Paul-Valéry - Montpellier 3 (UPVM)-École Pratique des Hautes Études (EPHE); Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD Occitanie )-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro Montpellier; Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Université de Montpellier (UM)
    • بيانات النشر:
      HAL CCSD
      Elsevier
    • الموضوع:
      2022
    • Collection:
      EPHE (Ecole pratique des hautes études, Paris): HAL
    • نبذة مختصرة :
      International audience ; Insects are the most diverse group of animals on Earth, but their small size and high diversity have always made them challenging to study. Recent technological advances have the potential to revolutionise insect ecology and monitoring. We describe the state of the art of four technologies (computer vision, acoustic monitoring, radar, and molecular methods), and assess their advantages, current limitations, and future potential. We discuss how these technologies can adhere to modern standards of data curation and transparency, their implications for citizen science, and their potential for integration among different monitoring programmes and technologies. We argue that they provide unprecedented possibilities for insect ecology and monitoring, but it will be important to foster international standards via collaboration.
    • الرقم المعرف:
      10.1016/j.tree.2022.06.001
    • الدخول الالكتروني :
      https://hal.science/hal-03769565
      https://hal.science/hal-03769565v1/document
      https://hal.science/hal-03769565v1/file/1-s2.0-S0169534722001343-main%20%281%29.pdf
      https://doi.org/10.1016/j.tree.2022.06.001
    • Rights:
      info:eu-repo/semantics/OpenAccess
    • الرقم المعرف:
      edsbas.798B43B1