Data/hora: 16/06/2024 07:19:39

Biblioteca(s): 	Embrapa Agricultura Digital.	
Data corrente: 	06/01/2020	
Data da última atualização: 	07/01/2020	
Autoria: 	ARAÚJO, M. L. S. DE; SANO, E. E.; BOLFE, E. L.; SANTOS, J. R. N.; SANTOS, J. S. dos; SILVA, F. B.	
Afiliação: 	MAYARA LUCYANNE SANTOS DE ARAÚJO, UnB; EDSON EYJI SANO, CPAC; EDSON LUIS BOLFE, CNPTIA; JESSFLAN RAFAEL NASCIMENTO SANTOS, UNIVERSIDADE CEUMA; JULIANA SALES DOS SANTOS, UNIVERSIDADE CEUMA; FABRÍCIO BRITO SILVA, UNIVERSIDADE CEUMA.	
Título: 	Spatiotemporal dynamics of soybean crop in the Matopiba region, Brazil (1990-2015).	
Ano de publicação: 	2019	
Fonte/Imprenta: 	Land Use Policy, v. 80, p. 57-67, Jan. 2019.	
DOI: 	https://doi.org/10.1016/j.landusepol.2018.09.040	
Idioma: 	Inglês	
Conteúdo: 	Brazil is a world leader in the production and export of grains, particularly soybeans. The newest agricultural frontier in Brazil is the Matopiba region, which is a continuous zone formed by the states of Maranhão, Tocantins, Piauí, and Bahia, located mostly within the Cerrado biome. The objective of this study was to analyze the spatiotemporal dynamics of soybean production and yield in the Matopiba region. We analyzed municipality-based planted areas and production data obtained by the Brazilian Institute of Geography and Statistics during 1990-2015. Yield was estimated from the production and planted area, and the data were analyzed using global and local Moran indices. The results showed that soybean production in the Matopiba region does not occur randomly. Positive and significant autocorrelation was found at the beginning of the time series among those municipalities located in the west of Bahia. This region influenced the soybean expansion from south to north. Currently, high-production areas are concentrated in two autocorrelated blocks: one in western Bahia and the other in the central Matopiba region. Analysis of spatial autocorrelation involving yield showed a decreasing trend at the end of the time series. The presence of municipalities with high yield surrounded by others with low yield, and vice-versa, were observed. The findings of this study could assist local and regional agricultural planning in the Matopiba region, and support related analyses in other fields of agriculture, the environment, and logistics.	
Palavras-Chave: 	Agricultural expansion; Expansão agrícola; Geoestatística; Moran index.	
Thesagro: 	Agricultura; Cerrado; Meio Ambiente; Soja.	
Thesaurus Nal: 	Agriculture; Environment; Geostatistics; Soybeans.	
Categoria do assunto: 	X Pesquisa, Tecnologia e Engenharia	
Registro original: 	Embrapa Agricultura Digital (CNPTIA)	
Exemplares: 	CNPTIA - (20377-1) - UPC - AP - DD -  -  -  - DIS