Spatiotemporal dynamics of soybean crop in the Matopiba region, Brazil (1990-2015)

被引:82
作者
Santos de Araujo, Mayara Lucyanne [1 ]
Sano, Edson Eyji [2 ]
Bolfe, Edson Luis [3 ]
Nascimento Santos, Jessflan Rafael [4 ]
dos Santos, Juliana Sales [4 ]
Silva, Fabricio Brito [4 ]
机构
[1] Univ Brasilia, Grad Program Appl Geosci, Brasilia, DF, Brazil
[2] Embrapa Cerrados, Brasilia, DF, Brazil
[3] Embrapa Secretaria Inteligencia & Relacoes Estrat, Brasilia, DF, Brazil
[4] Univ Ceuma, Sao Luis, Brazil
关键词
Agricultural expansion; Soybean; Moran index; Geostatistics;
D O I
10.1016/j.landusepol.2018.09.040
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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 Maranhao, Tocantins, Piaui, 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.
引用
收藏
页码:57 / 67
页数:11
相关论文
共 48 条
  • [1] ALVES ERDA, 1978, AM J AGR ECON, V60, P865
  • [2] Robust grain supply chain design considering post-harvest loss and harvest timing equilibrium
    An, Kun
    Ouyang, Yanfeng
    [J]. TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW, 2016, 88 : 110 - 128
  • [3] Andersen L.E., 2002, DYNAMICS DEFORESTATI
  • [4] The Evaporative Stress Index as an indicator of agricultural drought in Brazil: An assessment based on crop yield impacts
    Anderson, Martha C.
    Zolin, Cornelio A.
    Sentelhas, Paulo C.
    Hain, Christopher R.
    Semmens, Kathryn
    Yilmaz, M. Tugrul
    Gao, Feng
    Otkin, Jason A.
    Tetrault, Robert
    [J]. REMOTE SENSING OF ENVIRONMENT, 2016, 174 : 82 - 99
  • [5] [Anonymous], 2016, Cidades
  • [6] [Anonymous], 2016, BRAZIL TRANSITION BE, DOI DOI 10.1515/9781400880942
  • [7] [Anonymous], 2017, World Agricultural Production
  • [8] LOCAL INDICATORS OF SPATIAL ASSOCIATION - LISA
    ANSELIN, L
    [J]. GEOGRAPHICAL ANALYSIS, 1995, 27 (02) : 93 - 115
  • [9] Anselin L., 2005, EXPLORING SPATIAL DA
  • [10] Bolfe E. L., 2016, Revista de Politica Agricola, V25, P38