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A functional vulnerability framework for biodiversity conservation

Author

Listed:
  • Arnaud Auber

    (Laboratoire Ressources Halieutiques)

  • Conor Waldock

    (University of Bern
    Eawag - Swiss Federal Institute of Aquatic Science and Technology)

  • Anthony Maire

    (EDF R&D LNHE - Laboratoire National d’Hydraulique et Environnement, 6 quai Watier)

  • Eric Goberville

    (Université de Caen Normandie, Université des Antilles, CNRS, IRD)

  • Camille Albouy

    (ETH Zürich
    Swiss Federal Research Institute WSL)

  • Adam C. Algar

    (Lakehead University)

  • Matthew McLean

    (Dalhousie University)

  • Anik Brind’Amour

    (IFREMER, unité Ecologie et Modèles pour l’Halieutique, rue de l’Ile d’Yeu, BP21105)

  • Alison L. Green

    (King Abdullah University of Science and Technology)

  • Mark Tupper

    (University of Portsmouth, Ferry Reach
    CGG, Crompton Way)

  • Laurent Vigliola

    (UMR ENTROPIE, IRD-UR-UNC-IFREMER-CNRS, Centre IRD de Nouméa)

  • Kristin Kaschner

    (Albert-Ludwigs-University of Freiburg)

  • Kathleen Kesner-Reyes

    (Quantitative Aquatics, G.S. Khush Hall, IRRI)

  • Maria Beger

    (University of Leeds
    University of Queensland)

  • Jerry Tjiputra

    (Bjerknes Centre for Climate Research)

  • Aurèle Toussaint

    (University of Tartu)

  • Cyrille Violle

    (CEFE, Univ Montpellier, CNRS, EPHE, IRD)

  • Nicolas Mouquet

    (CESAB – FRB
    UMR MARBEC, Univ Montpellier, CNRS, IFREMER, IRD)

  • Wilfried Thuiller

    (Univ. Grenoble Alpes, Univ. Savoie Mont Blanc, CNRS, LECA, Laboratoire d’Ecologie Alpine)

  • David Mouillot

    (UMR MARBEC, Univ Montpellier, CNRS, IFREMER, IRD
    Institut Universitaire de France)

Abstract

Setting appropriate conservation strategies in a multi-threat world is a challenging goal, especially because of natural complexity and budget limitations that prevent effective management of all ecosystems. Safeguarding the most threatened ecosystems requires accurate and integrative quantification of their vulnerability and their functioning, particularly the potential loss of species trait diversity which imperils their functioning. However, the magnitude of threats and associated biological responses both have high uncertainties. Additionally, a major difficulty is the recurrent lack of reference conditions for a fair and operational measurement of vulnerability. Here, we present a functional vulnerability framework that incorporates uncertainty and reference conditions into a generalizable tool. Through in silico simulations of disturbances, our framework allows us to quantify the vulnerability of communities to a wide range of threats. We demonstrate the relevance and operationality of our framework, and its global, scalable and quantitative comparability, through three case studies on marine fishes and mammals. We show that functional vulnerability has marked geographic and temporal patterns. We underline contrasting contributions of species richness and functional redundancy to the level of vulnerability among case studies, indicating that our integrative assessment can also identify the drivers of vulnerability in a world where uncertainty is omnipresent.

Suggested Citation

  • Arnaud Auber & Conor Waldock & Anthony Maire & Eric Goberville & Camille Albouy & Adam C. Algar & Matthew McLean & Anik Brind’Amour & Alison L. Green & Mark Tupper & Laurent Vigliola & Kristin Kaschne, 2022. "A functional vulnerability framework for biodiversity conservation," Nature Communications, Nature, vol. 13(1), pages 1-13, December.
  • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-32331-y
    DOI: 10.1038/s41467-022-32331-y
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    References listed on IDEAS

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