TY - JOUR
T1 - Complex relationships between soybean trade destination and tropical deforestation
AU - Silva, Ramon Felipe Bicudo
AU - Moran, Emilio
AU - Millington, James
AU - Vina, Andres
AU - Liu, Jianguo
N1 - Funding Information:
The authors wish to thank Michigan State University, State University of Campinas, and King’s College London for all the support provided. We also thank three anonymous reviewers who provided important suggestions and the National Science Foundation (grants no. 1924111, 2118329, and 1531086) and FAPESP (grant no. 14/50628-9, 15/25892-7, and 18/08200-2) for the financial support. The results presented in this paper are the sole responsibility of the authors.
Funding Information:
The authors wish to thank Michigan State University, State University of Campinas, and King’s College London for all the support provided. We also thank three anonymous reviewers who provided important suggestions and the National Science Foundation (grants no. 1924111, 2118329, and 1531086) and FAPESP (grant no. 14/50628-9, 15/25892-7, and 18/08200-2) for the financial support. The results presented in this paper are the sole responsibility of the authors.
Publisher Copyright:
© 2023, The Author(s).
PY - 2023/7/12
Y1 - 2023/7/12
N2 - Over the last few years, understanding of the effects of increasingly interconnected global flows of agricultural commodities on coupled human and natural systems has significantly improved. However, many important factors in environmental change that are influenced by these commodity flows are still not well understood. Here, we present an empirical spatial modelling approach to assess how changes in forest cover are influenced by trade destination. Using data for soybean-producing municipalities in the state of Mato Grosso, Brazil, between 2004 and 2017, we evaluated the relationships between forest cover change and the annual soybean trade destination. Results show that although most of the soybean produced in Mato Grosso during the study period (60%) was destined for international markets, municipalities with greater and more consistent soybean production not destined for international markets during the study period were more strongly associated with deforestation. In these municipalities, soybean production was also significantly correlated with cattle and pasture expansion. These results have important implications for the sustainable management of natural resources in the face of an increasingly interconnected world, while also helping to identify the most suitable locations for implementing policies to reduce deforestation risks.
AB - Over the last few years, understanding of the effects of increasingly interconnected global flows of agricultural commodities on coupled human and natural systems has significantly improved. However, many important factors in environmental change that are influenced by these commodity flows are still not well understood. Here, we present an empirical spatial modelling approach to assess how changes in forest cover are influenced by trade destination. Using data for soybean-producing municipalities in the state of Mato Grosso, Brazil, between 2004 and 2017, we evaluated the relationships between forest cover change and the annual soybean trade destination. Results show that although most of the soybean produced in Mato Grosso during the study period (60%) was destined for international markets, municipalities with greater and more consistent soybean production not destined for international markets during the study period were more strongly associated with deforestation. In these municipalities, soybean production was also significantly correlated with cattle and pasture expansion. These results have important implications for the sustainable management of natural resources in the face of an increasingly interconnected world, while also helping to identify the most suitable locations for implementing policies to reduce deforestation risks.
UR - http://www.scopus.com/inward/record.url?scp=85164542674&partnerID=8YFLogxK
U2 - 10.1038/s41598-023-38405-1
DO - 10.1038/s41598-023-38405-1
M3 - Article
SN - 2045-2322
VL - 13
SP - 11254
JO - Scientific Reports
JF - Scientific Reports
IS - 1
M1 - 11254
ER -