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Linking global crop and livestock consumption to local production hotspots

Abstract:
International trade plays a critical role in global food security, with global consumption having highly localized environmental impacts. It has been difficult to gain insights into these effects due to the diversity of food production, and complexity of supply chains in international trade. We present a Spatially-explicit Multi-Regional Input-Output (SMRIO) model which couples primary crops and livestock at a high spatial resolution with a global Multi-Regional Input-Output (MRIO) model. We then identify hotspots (the most significant production regions) for primary crops and livestock driven by international consumption. We present the method and data behind this approach, and provide illustrative case studies for Indonesian palm oil and Brazilian soy and beef production. Regionally, China is the largest primary crop consumer, while the EU28 is the largest livestock consumer. Primary crops and livestock hotspots are highly unequal, and the embodied primary crops and livestock for high-income countries are distributed over larger areas when compared to lower-income countries since high-income countries have more numerous trade links. Identified hotspots could allow for increased cooperation between consumers (high-income countries) and producers (lower-income countries) to improve sustainability programs for global food security.Industrial Ecolog
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1016/j.gfs.2019.09.008

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Role:
Author
ORCID:
0000-0001-8711-8260
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Role:
Author
ORCID:
0000-0002-0194-9942
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Role:
Author
ORCID:
0000-0002-8229-2929
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Institution:
University of Oxford
Role:
Author
ORCID:
0000-0002-2935-4799


Publisher:
Elsevier
Journal:
Global Food Security More from this journal
Volume:
25
Pages:
100323-100323
Article number:
100323
Publication date:
2019-10-02
DOI:
EISSN:
2211-9124
ISSN:
2211-9124


Language:
English
Keywords:
Pubs id:
2350546
UUID:
uuid_9c539a40-c459-49ca-a5c1-4ce8e239b4a2
Local pid:
pubs:2350546
Source identifiers:
W2978752021
Deposit date:
2025-12-17
ARK identifier:
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