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An objective-based prioritization approach to support trophic complexity through ecological restoration species mixes

  • Emma Ladouceur*
  • , Jennifer McGowan
  • , Patrick Huber
  • , Hugh Possingham
  • , Davide Scridel
  • , Roel van Klink
  • , Peter Poschlod
  • , Johannes Hans C. Cornelissen
  • , Costantino Bonomi
  • , Borja Jiménez-Alfaro
  • *Corresponding author for this work

    Research output: Contribution to JournalArticleAcademicpeer-review

    Abstract

    Reassembling ecological communities and rebuilding habitats through active restoration treatments require curating the selection of plant species to use in seeding and planting mixes. Ideally, these mixes should be assembled based on attributes that support ecosystem function and services, promote plant and animal species interactions and ecological networks in restoration while balancing project constraints. Despite these critical considerations, it is common for species mixes to be selected opportunistically. Reframing the selection of seed mixes for restoration around ecological objectives is essential for success but accessible methods and tools are needed to support this effort. We developed a framework to optimize species seed mixes based on prioritizing plant species attributes to best support different objectives for ecosystem functions, services and trophic relationships such as pollination, seed dispersal and herbivory. We compared results to approaches where plant species are selected to represent plant taxonomic richness, dominant species and at random. We tested our framework in European alpine grasslands by identifying 176 plant species characteristic of the species pool, and identified 163 associated attributes affiliated to trophic relationships, ecosystem functions and services. In all cases, trophic relationships, ecosystem functions and services can be captured more efficiently through objective-based prioritization using the functional identity of plant species. Solutions (plant species lists) can be compared quantitatively, in terms of costs, species or objectives. We confirm that a random draw of plant species from the regional plant species pool cannot be assumed to support other trophic groups and ecosystem functions and services. Synthesis and Applications. Our framework is presented as a proof-of-concept to help restoration practitioners better apply quantitative decision support to plant species selection to efficiently meet ecological restoration outcomes. Our approach may be tailored to any restoration initiative, habitat or restoration targets where seeding or planting mixes will be applied in active treatments. As global priority and resources are increasingly placed into restoration, this approach could be advanced to help make efficient decisions for many stages of the restoration process.

    Original languageEnglish
    Pages (from-to)394-407
    Number of pages14
    JournalJournal of Applied Ecology
    Volume59
    Issue number2
    Early online date11 Jun 2021
    DOIs
    Publication statusPublished - Feb 2022

    Bibliographical note

    Funding Information:
    E.L., C.B. and B.J.‐A. acknowledges the support of the research leading to these results has received funding from the People Programme (Marie Curie Actions) of the European Union's Seventh Framework Programme FP7/2007–2013 under REA grant agreement no. 607785, as a part of the NAtive Seed Science TEchnology and Conservation (NASSTEC) Initial Training Network (ITN). E.L., R.v.K. and B.J.‐A. gratefully acknowledge the support of iDiv funded by the German Research Foundation (DFG–FZT 118, 202548816). E.L. is grateful for the support of the Alexander von Humboldt Foundation. We thank Jeffrey O. Hanson & Richard Schuster for helping to adapt our approach in prioritizr.

    Publisher Copyright:
    © 2021 The Authors. Journal of Applied Ecology published by John Wiley & Sons Ltd on behalf of British Ecological Society

    Funding

    E.L., C.B. and B.J.‐A. acknowledges the support of the research leading to these results has received funding from the People Programme (Marie Curie Actions) of the European Union's Seventh Framework Programme FP7/2007–2013 under REA grant agreement no. 607785, as a part of the NAtive Seed Science TEchnology and Conservation (NASSTEC) Initial Training Network (ITN). E.L., R.v.K. and B.J.‐A. gratefully acknowledge the support of iDiv funded by the German Research Foundation (DFG–FZT 118, 202548816). E.L. is grateful for the support of the Alexander von Humboldt Foundation. We thank Jeffrey O. Hanson & Richard Schuster for helping to adapt our approach in prioritizr.

    FundersFunder number
    NAtive Seed Science TEchnology and Conservation
    Research Executive Agency
    Alexander von Humboldt-Stiftung
    FP7 People: Marie-Curie Actions
    Seventh Framework Programme607785
    Deutsche Forschungsgemeinschaft202548816, DFG?FZT 118, FZT 118

      UN SDGs

      This output contributes to the following UN Sustainable Development Goals (SDGs)

      1. SDG 15 - Life on Land
        SDG 15 Life on Land

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