Ecological networks reveal resilience of agro-ecosystems to changes in farming management.


Journal

Nature ecology & evolution
ISSN: 2397-334X
Titre abrégé: Nat Ecol Evol
Pays: England
ID NLM: 101698577

Informations de publication

Date de publication:
02 2019
Historique:
received: 03 04 2018
accepted: 19 11 2018
pubmed: 2 1 2019
medline: 30 5 2019
entrez: 2 1 2019
Statut: ppublish

Résumé

Sustainable management of ecosystems and growth in agricultural productivity is at the heart of the United Nations' Sustainable Development Goals for 2030. New management regimes could revolutionize agricultural production, but require an evaluation of the risks and opportunities. Replacing existing conventional weed management with genetically modified, herbicide-tolerant (GMHT) crops, for example, might reduce herbicide applications and increase crop yields, but remains controversial owing to concerns about potential impacts on biodiversity. Until now, such new regimes have been assessed at the species or assemblage level, whereas higher-level ecological network effects remain largely unconsidered. Here, we conduct a large-scale network analysis of invertebrate communities across 502 UK farm sites to GMHT management in different crop types. We find that network-level properties were overwhelmingly shaped by crop type, whereas network structure and robustness were apparently unaltered by GMHT management. This suggests that taxon-specific effects reported previously did not escalate into higher-level systemic structural change in the wider agricultural ecosystem. Our study highlights current limitations of autecological assessments of effect in agriculture in which species interactions and potential compensatory effects are overlooked. We advocate adopting the more holistic system-level evaluations that we explore here, which complement existing assessments for meeting our future agricultural needs.

Identifiants

pubmed: 30598528
doi: 10.1038/s41559-018-0757-2
pii: 10.1038/s41559-018-0757-2
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

260-264

Auteurs

Athen Ma (A)

School of Electronic Engineering and Computer Science, Queen Mary University of London, London, UK.

Xueke Lu (X)

School of Electronic Engineering and Computer Science, Queen Mary University of London, London, UK.
School of Engineering, University of Warwick, Coventry, UK.

Clare Gray (C)

School of Biological and Chemical Sciences, Queen Mary University of London, London, UK.
Department of Life Sciences, Silwood Park Campus, Imperial College London, Ascot, Berkshire, UK.

Alan Raybould (A)

Syngenta Crop Protection AG, Basel, Switzerland.

Alireza Tamaddoni-Nezhad (A)

Department of Computer Science, University of Surrey, Guildford, UK.
Department of Computing, Imperial College London, London, UK.

Guy Woodward (G)

Department of Life Sciences, Silwood Park Campus, Imperial College London, Ascot, Berkshire, UK.

David A Bohan (DA)

Agroécologie, AgroSup Dijon, INRA, University of Bourgogne Franche-Comté, Dijon, France. david.bohan@inra.fr.

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Classifications MeSH