The Spatiotemporal Dynamics of Soybean and Cattle Production in Brazil
The expansion of agricultural frontiers in Brazil has caused substantial changes in land use and land cover. This research aims to analyze the space-time dynamics of soybeans and cattle production in the Brazilian territory during the period 1991–2015. The spatial analysis adopted the following proc...
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creator | Maranhão, Rebecca Lima Albuquerque de Carvalho Júnior, Osmar Abílio Hermuche, Potira Meirelles Gomes, Roberto Arnaldo Trancoso McManus Pimentel, Concepta Margaret Guimarães, Renato Fontes |
description | The expansion of agricultural frontiers in Brazil has caused substantial changes in land use and land cover. This research aims to analyze the space-time dynamics of soybeans and cattle production in the Brazilian territory during the period 1991–2015. The spatial analysis adopted the following procedures: (a) The change vector from the annual calculation of the midpoint of production; (b) mapping of the growth and acceleration rates of the two productions, and (c) mapping of the correlation between the time series of soybean and cattle. The results showed high rates of growth and acceleration for soy production in the South, Central-West and Matopiba regions. The growth acceleration rate identified the long-term deviations that characterized the effective soybean and cattle expansion areas. The results demonstrated the effects of Brazil’s soy moratorium contained soybean expansion into the Amazon region. However, as a side effect, the soybean production replaced cattle production in the savanna region, which in turn, migrated to the Amazon rainforest. Therefore, the present study highlights the importance of public policies that comprehensively understand the spatial-temporal dynamics of Brazilian agriculture to promote sustainable land-use practices. |
doi_str_mv | 10.3390/su11072150 |
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This research aims to analyze the space-time dynamics of soybeans and cattle production in the Brazilian territory during the period 1991–2015. The spatial analysis adopted the following procedures: (a) The change vector from the annual calculation of the midpoint of production; (b) mapping of the growth and acceleration rates of the two productions, and (c) mapping of the correlation between the time series of soybean and cattle. The results showed high rates of growth and acceleration for soy production in the South, Central-West and Matopiba regions. The growth acceleration rate identified the long-term deviations that characterized the effective soybean and cattle expansion areas. The results demonstrated the effects of Brazil’s soy moratorium contained soybean expansion into the Amazon region. However, as a side effect, the soybean production replaced cattle production in the savanna region, which in turn, migrated to the Amazon rainforest. Therefore, the present study highlights the importance of public policies that comprehensively understand the spatial-temporal dynamics of Brazilian agriculture to promote sustainable land-use practices.</description><identifier>ISSN: 2071-1050</identifier><identifier>EISSN: 2071-1050</identifier><identifier>DOI: 10.3390/su11072150</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Acceleration ; Agricultural economics ; Agricultural production ; Agriculture ; Animal feed ; Biodiesel fuels ; Cattle ; Cattle production ; Conservation ; Correlation analysis ; Economic development ; Economic growth ; Ecosystems ; Farming ; Feeds ; Food production ; Geographic information systems ; Geography ; Global marketing ; Highways ; International trade ; Land use ; Moratoriums ; Municipalities ; Oilseeds ; Preservation ; Productivity ; Railroads ; Regional development ; Rivers ; Soybeans ; Spatial analysis ; Time series ; Waterways</subject><ispartof>Sustainability, 2019-04, Vol.11 (7), p.2150</ispartof><rights>2019. 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Therefore, the present study highlights the importance of public policies that comprehensively understand the spatial-temporal dynamics of Brazilian agriculture to promote sustainable land-use practices.</description><subject>Acceleration</subject><subject>Agricultural economics</subject><subject>Agricultural production</subject><subject>Agriculture</subject><subject>Animal feed</subject><subject>Biodiesel fuels</subject><subject>Cattle</subject><subject>Cattle production</subject><subject>Conservation</subject><subject>Correlation analysis</subject><subject>Economic development</subject><subject>Economic growth</subject><subject>Ecosystems</subject><subject>Farming</subject><subject>Feeds</subject><subject>Food production</subject><subject>Geographic information systems</subject><subject>Geography</subject><subject>Global marketing</subject><subject>Highways</subject><subject>International trade</subject><subject>Land use</subject><subject>Moratoriums</subject><subject>Municipalities</subject><subject>Oilseeds</subject><subject>Preservation</subject><subject>Productivity</subject><subject>Railroads</subject><subject>Regional development</subject><subject>Rivers</subject><subject>Soybeans</subject><subject>Spatial analysis</subject><subject>Time series</subject><subject>Waterways</subject><issn>2071-1050</issn><issn>2071-1050</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNpNUM9LwzAYDaLgmLv4FwS8CdXvy7c0zVGnU2GgsHkuaZZgR9fUpD3Mv97KBH2X9w7vBzzGLhFuiDTcpgERlEAJJ2wiQGGGIOH0nz5ns5R2MIIINeYTttx8OL7uTF-H3u27EE3DHw6t2dc28eD5OhwqZ1pu2i1fmL5vHH-LYTvYMdDyuuX30XzVzQU786ZJbvbLU_a-fNwsnrPV69PL4m6VWSFkn_ncW13kQkorpcqrLXhrFGiNJCtVVLoogFAWylZyjuCVcYUkK7U0uUVFNGVXx94uhs_Bpb7chSG242QpSJBGpDmMruujy8aQUnS-7GK9N_FQIpQ_V5V_V9E3uaNZSg</recordid><startdate>20190411</startdate><enddate>20190411</enddate><creator>Maranhão, Rebecca Lima Albuquerque</creator><creator>de Carvalho Júnior, Osmar Abílio</creator><creator>Hermuche, Potira Meirelles</creator><creator>Gomes, Roberto Arnaldo Trancoso</creator><creator>McManus Pimentel, Concepta Margaret</creator><creator>Guimarães, Renato Fontes</creator><general>MDPI AG</general><scope>AAYXX</scope><scope>CITATION</scope><scope>4U-</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><orcidid>https://orcid.org/0000-0002-0346-1684</orcidid><orcidid>https://orcid.org/0000-0002-9555-043X</orcidid><orcidid>https://orcid.org/0000-0003-4724-4064</orcidid></search><sort><creationdate>20190411</creationdate><title>The Spatiotemporal Dynamics of Soybean and Cattle Production in Brazil</title><author>Maranhão, Rebecca Lima Albuquerque ; 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subjects | Acceleration Agricultural economics Agricultural production Agriculture Animal feed Biodiesel fuels Cattle Cattle production Conservation Correlation analysis Economic development Economic growth Ecosystems Farming Feeds Food production Geographic information systems Geography Global marketing Highways International trade Land use Moratoriums Municipalities Oilseeds Preservation Productivity Railroads Regional development Rivers Soybeans Spatial analysis Time series Waterways |
title | The Spatiotemporal Dynamics of Soybean and Cattle Production in Brazil |
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