Journal article
A decentralized approach to model national and global food and land use systems
- Abstract:
- The achievement of several sustainable development goals and the Paris Climate Agreement depends on rapid progress towards sustainable food and land systems in all countries. We have built a flexible, collaborative modeling framework to foster the development of national pathways by local research teams and their integration up to global scale. Local researchers independently customize national models to explore mid-century pathways of the food and land use system transformation in collaboration with stakeholders. An online platform connects the national models, iteratively balances global exports and imports, and aggregates results to the global level. Our results show that actions toward greater sustainability in countries could sum up to 1 Mha net forest gain per year, 950 Mha net gain in the land where natural processes predominate, and an increased CO2 sink of 3.7 GtCO2e yr−1 over the period 2020–2050 compared to current trends, while average food consumption per capita remains above the adequate food requirements in all countries. We show examples of how the global linkage impacts national results and how different assumptions in national pathways impact global results. This modeling setup acknowledges the broad heterogeneity of socio-ecological contexts and the fact that people who live in these different contexts should be empowered to design the future they want. But it also demonstrates to local decision-makers the interconnectedness of our food and land use system and the urgent need for more collaboration to converge local and global priorities.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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- Files:
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(Preview, Version of record, pdf, 8.1MB, Terms of use)
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- Publisher copy:
- 10.1088/1748-9326/acc044
Authors
- Publisher:
- IOP Publishing
- Journal:
- Environmental Research Letters More from this journal
- Volume:
- 18
- Issue:
- 4
- Article number:
- 045001
- Publication date:
- 2023-03-21
- Acceptance date:
- 2023-03-01
- DOI:
- EISSN:
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1748-9326
- Language:
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English
- Keywords:
- Pubs id:
-
1330974
- Local pid:
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pubs:1330974
- Deposit date:
-
2023-03-02
Terms of use
- Copyright holder:
- Mosnier et al.
- Copyright date:
- 2023
- Rights statement:
- © 2023 The Author(s). Published by IOP Publishing Ltd. Original content from this work may be used under the terms of the Creative Commons Attribution 4.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
- Licence:
- CC Attribution (CC BY)
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