IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v471y2022ics0304380022001739.html
   My bibliography  Save this article

BEFANA: A tool for biodiversity-ecosystem functioning assessment by network analysis

Author

Listed:
  • Marzidovšek, Martin
  • Podpečan, Vid
  • Conti, Erminia
  • Debeljak, Marko
  • Mulder, Christian

Abstract

BEFANA is a free and open-source software tool for ecological network analysis and visualisation. It is adapted to ecologists’ needs and allows them to study the topology and dynamics of ecological networks as well as to apply selected machine learning algorithms. BEFANA is implemented in Python, and structured as an ordered collection of interactive computational notebooks. It relies on widely used open-source libraries, and aims to achieve simplicity, interactivity, and extensibility. BEFANA provides methods and implementations for data loading and pre-processing, network analysis and interactive visualisation, modelling with experimental data, and predictive modelling with machine learning. We showcase BEFANA through a concrete example of a detrital soil food web of one agricultural grassland, and demonstrate all of its main components and functionalities.

Suggested Citation

  • Marzidovšek, Martin & Podpečan, Vid & Conti, Erminia & Debeljak, Marko & Mulder, Christian, 2022. "BEFANA: A tool for biodiversity-ecosystem functioning assessment by network analysis," Ecological Modelling, Elsevier, vol. 471(C).
    • Handle: RePEc:eee:ecomod:v:471:y:2022:i:c:s0304380022001739
    DOI: 10.1016/j.ecolmodel.2022.110065
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304380022001739
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ecolmodel.2022.110065?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Brink, René van den & Rusinowska, Agnieszka, 2021. "The degree ratio ranking method for directed graphs," European Journal of Operational Research, Elsevier, vol. 288(2), pages 563-575.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. van den Brink, René & Rusinowska, Agnieszka, 2022. "The degree measure as utility function over positions in graphs and digraphs," European Journal of Operational Research, Elsevier, vol. 299(3), pages 1033-1044.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:ecomod:v:471:y:2022:i:c:s0304380022001739. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/ecological-modelling .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.