Three Decades of Changes in Brazilian Municipalities and Their Food Production Systems

Autor(es)

Bicudo da Silva, Ramon Felipe ^{[1, 2]} ; Batistella, Mateus ^{[2, 3]} ; Millington, James D. A. ^[4] ; Moran, Emilio ^[5] ; Martinelli, Luiz A. ^[6] ; Dou, Yue ^[7] ; Liu, Jianguo ^[1]

Afiliação do(s) autor(es)

^[1] Michigan State Univ, Dept Fisheries & Wildlife, Ctr Syst Integrat & Sustainabil, E Lansing, MI 48823 - USA

^[2] Univ Estadual Campinas, Ctr Environm Studies & Res, BR-13083867 Campinas - Brazil

^[3] Brazilian Agr Res Corp, Embrapa Agr Informat, BR-13083886 Campinas - Brazil

^[4] Kings Coll London, Dept Geog, London WC2R 2LS - England

^[5] Michigan State Univ, Ctr Global Change & Earth Observat, E Lansing, MI 48823 - USA

^[6] Univ Sao Paulo, Ctr Nucl Energy Agr, BR-13416000 Piracicaba - Brazil

^[7] Vrije Univ Amsterdam, Environm Geog Grp, Inst Environm Studies, Boelelaan, NL-1081 HV Amsterdam - Netherlands

• Tipo de documento: Artigo Científico
• Fonte: LAND; v. 9, n. 11 NOV 2020.
• Citações Web of Science: 0

Resumo

Agricultural systems are heterogeneous across temporal and spatial scales. Although much research has investigated farm size and economic output, the synergies and trade-offs across various agricultural and socioeconomic variables are unclear. This study applies a GIS-based approach to official Brazilian census data (Agricultural Censuses of 1995, 2006, and 2017) and surveys at the municipality level to (i) evaluate changes in the average soybean farm size across the country and (ii) compare agricultural and socioeconomic outcomes (i.e., soybean yield, agricultural production value, crop production diversity, and rural labor employment) relative to the average soybean farm size. Statistical tests (e.g., Kruskal-Wallis tests and Spearman's correlation) were used to analyze variable outcomes in different classes of farm sizes and respective Agricultural Censuses. We found that agricultural and socioeconomic outcomes are spatially correlated with soybean farm size class. Therefore, based on the concepts of trade-offs and synergies, we show that municipalities with large soybean farm sizes had larger trade-offs (e.g., larger farm size was associated with lower crop diversity), while small and medium ones manifest greater synergies. These patterns are particularly strong for analysis using the Agricultural Census of 2017. Trade-off/synergy analysis across space and time is key for supporting long-term strategies aiming at alleviating unemployment and providing sustainable food production, essential to achieve the UN Sustainable Development Goals. (AU)

• Processo FAPESP: 15/25892-7 - Segurança alimentar e uso da terra: o desafio do Telecoupling
• Beneficiário: Ramon Felipe Bicudo da Silva
• Modalidade de apoio: Bolsas no Brasil - Pós-Doutorado
• Processo FAPESP: 14/50628-9 - Segurança alimentar e uso da terra: o desafio do Telecoupling
• Beneficiário: Mateus Batistella
• Modalidade de apoio: Auxílio à Pesquisa - Temático
• Processo FAPESP: 18/08200-2 - O mundo teleacoplado: segurança alimentar, commodities e suas dimensões ambientais e socioeconômicas
• Beneficiário: Ramon Felipe Bicudo da Silva
• Modalidade de apoio: Bolsas no Exterior - Estágio de Pesquisa - Pós-Doutorado