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Camara, G., Soterroni, A.C., Ramos, F.M., Carvalho, A.X.C., Mant, R., Andrade, P., Pena, M.G., Mosnier, A., Havlik, P., Pirker, J., Kraxner, F., Obersteiner, M. and Kapos, V. (2015) Modelling Land Use Change in Brazil: 2000-2050. INPE (National Institute for Space Research), IPEA (Institute of Applied Economic Research), IIASA (International Institute for Applied Systems Analysis), UNEPWCMC (World Conservation Monitoring Centre), São José dos Campos, Brasília, Laxenburg, Cambridge.
has been cited by the following article:
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TITLE:
Temporary Crops in the Brazilian Agricultural Frontier
AUTHORS:
Rogério Edivaldo Freitas
KEYWORDS:
Agricultural Frontier, Brazil, Mesoregions, Spearman’s Correlation Coefficient, Clustering
JOURNAL NAME:
Agricultural Sciences,
Vol.13 No.2,
February
25,
2022
ABSTRACT: Food production remains one of the main challenges for humankind in this century, and Brazil is one of the largest food-producing countries that have yet some land for economically or technically profitable farming expansion. Moreover, knowing which areas constitute the Brazilian agricultural frontier is crucial for improving public policies and logistics infrastructure decisions. Data from the Brazilian Institute of Geography and Statistics from 1995 to 2019 were used in this study. We aimed to map and measure the expansion of agricultural areas in Brazil from 1995 to 2019 for temporary crops according to their mesoregions. We used a four-stage methodology, compared the results of two agglomerative clustering methods, and identified similar mesoregions based on their share trends in the Brazilian agricultural seeded area. Some mesoregions had higher positive trend values for their share of the Brazilian agricultural seeded area: Mato-grossense North (MT), Mato-grossense Northeast (MT), Mato Grosso do Sul Southwest (MS), Goiano South (GO), Extreme West Bahia (BA), Maranhense South (MA), Piauiense Southwest (PI), and Tocantins Eastern (TO). As a second leading group, the Paranaíba Upstream (MG), São José do Rio Preto (SP), Mato-grossense Southeast (MT), and Goiano East (GO), must be emphasized. Further research is recommended, including extending the study to permanent crops and applying top-down analysis targeting microregions or municipalities in the identified mesoregions.