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Characterising ecological interaction networks to support risk assessment in classical biological control of weeds

Author

Listed:
  • Mélodie Ollivier

    (UMR CBGP - Centre de Biologie pour la Gestion des Populations - Cirad - Centre de Coopération Internationale en Recherche Agronomique pour le Développement - UM - Université de Montpellier - IRD [Occitanie] - Institut de Recherche pour le Développement - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement - Institut Agro - Montpellier SupAgro - Institut Agro - Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement)

  • Vincent Lesieur

    (UMR CBGP - Centre de Biologie pour la Gestion des Populations - Cirad - Centre de Coopération Internationale en Recherche Agronomique pour le Développement - UM - Université de Montpellier - IRD [Occitanie] - Institut de Recherche pour le Développement - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement - Institut Agro - Montpellier SupAgro - Institut Agro - Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement, CSIRO European Laboratory - CSIRO - Commonwealth Scientific and Industrial Research Organisation [Australia])

  • Sathyamurthy Raghu

    (CSIRO - Commonwealth Scientific and Industrial Research Organisation [Australia], CSIRO Health & Biosecurity - CSIRO - Commonwealth Scientific and Industrial Research Organisation [Australia])

  • Jean-François Martin

    (UMR CBGP - Centre de Biologie pour la Gestion des Populations - Cirad - Centre de Coopération Internationale en Recherche Agronomique pour le Développement - UM - Université de Montpellier - IRD [Occitanie] - Institut de Recherche pour le Développement - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement - Institut Agro - Montpellier SupAgro - Institut Agro - Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement)

Abstract

Highlights: • Ecological networks provide knowledge of species interactions in nature. • Existing concepts and tools of networks analysis could benefit risk assessment in weed biocontrol programs. • The potential for a biocontrol agent to disturb the recipient communities can be predicted with ecological network analysis. • The construction of reliable and highly resolved ecological networks requires the selection of suitable methods. Abstract: A key element in weed biological control is the selection of a biological control agent that minimizes the risks of non-target attack and indirect effects on the recipient community. Network ecology is a promising approach that could help decipher tritrophic interactions in both the native and the invaded ranges, to complement quarantine-based host-specificity tests and gain insights on potential interactions of biological control agents. This review highlights practical questions addressed by networks, including 1) biological control agent selection, based on specialization indices, 2) risk assessment of biological control agent release into a novel environment, via particular patterns of association such as apparent competition between agent(s) and native herbivore(s), 3) network comparisons through structural metrics, 4) potential of network modelling and 5) limits of network construction methods

Suggested Citation

  • Mélodie Ollivier & Vincent Lesieur & Sathyamurthy Raghu & Jean-François Martin, 2020. "Characterising ecological interaction networks to support risk assessment in classical biological control of weeds," Post-Print hal-02622752, HAL.
    • Handle: RePEc:hal:journl:hal-02622752
    DOI: 10.1016/j.cois.2019.12.002
    Note: View the original document on HAL open archive server: https://hal.inrae.fr/hal-02622752v2
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    References listed on IDEAS

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    1. Mao, Xufeng & Wei, Xiaoyan & Yuan, Donghai & Jin, Yanxiang & Jin, Xin, 2018. "An ecological-network-analysis based perspective on the biological control of algal blooms in Ulansuhai Lake, China," Ecological Modelling, Elsevier, vol. 386(C), pages 11-19.
    2. Borrett, Stuart R. & Moody, James & Edelmann, Achim, 2014. "The rise of Network Ecology: Maps of the topic diversity and scientific collaboration," Ecological Modelling, Elsevier, vol. 293(C), pages 111-127.
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