Global option space for organic agriculture is delimited by nitrogen availability

Pietro Barbieri*, Sylvain Pellerin, Verena Seufert, Laurence Smith, Navin Ramankutty, Thomas Nesme

*Corresponding author for this work

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

Organic agriculture is widely accepted as a strategy to reduce the environmental impacts of food production and help achieve global climate and biodiversity targets. However, studies concluding that organic farming could satisfy global food demand have overlooked the key role that nitrogen plays in sustaining crop yields. Using a spatially explicit biophysical optimization model that accounts for crop growth nitrogen requirements, we show that, in the absence of synthetic nitrogen fertilizers, the production gap between organic and conventional agriculture increases as organic agriculture expands globally (with organic producing 36% less food for human consumption than conventional in a fully organic world). Yet, by targeting both food supply (via a redesign of the livestock sector) and demand (by reducing average per capita caloric intake), public policies could support a transition towards organic agriculture in 40–60% of the global agricultural area even under current nitrogen limitations thus helping to achieve important environmental and health benefits.

Original languageEnglish
Pages (from-to)363-372
Number of pages10
JournalNature Food
Volume2
Issue number5
Early online date13 May 2021
DOIs
Publication statusPublished - May 2021

Bibliographical note

Funding Information:
We are grateful to M. Kvakic and B. Ringeval for their suggestions and help in the model construction. This work was funded by Bordeaux Sciences Agro (University of Bordeaux) and the INRA-CIRAD GloFoodS metaprogramme.

Publisher Copyright:
© 2021, The Author(s), under exclusive licence to Springer Nature Limited.

Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.

Funding

We are grateful to M. Kvakic and B. Ringeval for their suggestions and help in the model construction. This work was funded by Bordeaux Sciences Agro (University of Bordeaux) and the INRA-CIRAD GloFoodS metaprogramme.

FundersFunder number
Université de Bordeaux
Bordeaux Sciences Agro
UK Research and Innovation43016

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