Future scenarios based on a CA-Markov land use and land cover simulation model for a tropical humid basin in the Cerrado/Atlantic forest ecotone of Brazil

被引:115
作者
da Cunha, Elias Rodrigues [1 ,3 ,6 ]
Guimaraes Santos, Celso Augusto [2 ]
da Silva, Richarde Marques [1 ,6 ]
Bacani, Vitor Matheus [4 ]
Pott, Arnildo [5 ]
机构
[1] Univ Fed Paraiba, Dept Geosci, Joao Pessoa, Paraiba, Brazil
[2] Univ Fed Paraiba, Dept Civil & Environm Engn, Joao Pessoa, Paraiba, Brazil
[3] Univ Fed Mato Grosso do Sul, Dept Geog, Aquidauana, MS, Brazil
[4] Univ Fed Mato Grosso do Sul, Dept Geog, Tres Lagoas, MS, Brazil
[5] Univ Fed Mato Grosso do Sul, Grad Program Plant Biol, Campo Grande, MS, Brazil
[6] Univ Fed Paraiba, Grad Program Geog, Joao Pessoa, Paraiba, Brazil
关键词
Remote sensing; LULC prediction; Brazilian Savanna; Future scenario modeling; CELLULAR-AUTOMATA MODELS; USE/LAND COVER; CLIMATE-CHANGE; RIVER-BASIN; IMPACTS; PREDICTION; CHAIN; TRANSFORMATION; URBANIZATION; INTEGRATION;
D O I
10.1016/j.landusepol.2020.105141
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Recently, the advancement of agriculture in Brazil has caused very serious problems, such as deforestation and an increase in the amount of pesticides and suspended sediment that have negatively impacted the environment, especially in the Prata River basin, which is located in the Serra da Bodoquena region, Brazil. Thus, the objective of this study was to analyze the future changes in land use and land cover of the advancement of agriculture in the native vegetation areas of the Cerrado/Atlantic forest ecotone in the Prata River basin in 2033, 2050, 2080 and 2100. To map the future land use and land cover (LULC) in the study area, an object-based classification approach was used on Landsat satellite imagery from 1986, 1999, 2007 and 2016. The future LULC scenarios were created with a cellular automata-Markov forecast model. The simulation results of the LULC changes were considered satisfactory, as evidenced by the values obtained from the kappa for agreement (kappa(standard)) = 0.73, kappa for no information (kappa(no)) = 0.79 and kappa for grid-cell level location (kappa(location)) = 0.85 indices. The modeled future scenarios of LULC indicated the advancement of crop agriculture and decreases in wetlands (banhado), savannahs, riparian forests, seasonal semideciduous forests and wet grasslands, which can be considered a warning about the loss of biodiversity of fauna and flora in the Serra da Bodoquena National Park, mainly in the Prata River basin.
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页数:17
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