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A network perspective for sustainable agroecosystems.

Warwick J Allen1, Jennifer L Bufford2, Andrew D Barnes3

  • 1Bio-Protection Research Centre/Bioprotection Aotearoa, School of Biological Sciences, University of Canterbury, Christchurch 8041, New Zealand.

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|May 2, 2022
PubMed
Summary
This summary is machine-generated.

Nature-based agroecosystem management can be enhanced by understanding species interaction networks. Manipulating these networks by targeting species traits can improve ecosystem functioning and stability for sustainable agriculture.

Keywords:
ecological intensificationecosystem functioningfunctional traitsnature-based managementspecies interactionssustainability

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Area of Science:

  • Agroecology
  • Ecosystem Ecology
  • Conservation Biology

Background:

  • Nature-based management seeks to enhance sustainable agroecosystem production, but results are inconsistent.
  • Understanding species interactions is crucial for ecosystem functioning and stability.

Purpose of the Study:

  • To propose that explicitly considering and manipulating species interaction networks can significantly improve nature-based agroecosystem management.
  • To highlight the potential of a network perspective in identifying key species and optimizing management strategies.

Main Methods:

  • Utilizing a network perspective to link species interactions with ecosystem functioning and stability.
  • Leveraging recent advances in predicting species' network roles from functional traits.
  • Integrating understanding of network structure, dynamics, and diverse interaction types (including social-ecological).

Main Results:

  • A network approach can identify influential species and interactions within agroecosystems.
  • Predicting species' network roles from traits allows targeted manipulation of network architecture.
  • This approach offers a pathway to more effective nature-based management strategies.

Conclusions:

  • Explicitly considering and manipulating species interaction networks is key to improving nature-based agroecosystem management.
  • Applying network science, combined with trait-based predictions, can lead to more stable and productive sustainable agroecosystems.
  • This integrated approach can enhance the efficacy of nature-based solutions in agriculture.