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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

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  • Cunha, Elias Rodrigues da
  • Santos, Celso Augusto Guimarães
  • Silva, Richarde Marques da
  • Bacani, Vitor Matheus
  • Pott, Arnildo

Abstract

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 (κstandard) = 0.73, kappa for no information (κno) = 0.79 and kappa for grid-cell level location (κlocation) = 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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  • Cunha, Elias Rodrigues da & Santos, Celso Augusto Guimarães & Silva, Richarde Marques da & Bacani, Vitor Matheus & Pott, Arnildo, 2021. "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," Land Use Policy, Elsevier, vol. 101(C).
    • Handle: RePEc:eee:lauspo:v:101:y:2021:i:c:s0264837720303288
    DOI: 10.1016/j.landusepol.2020.105141
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    References listed on IDEAS

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    1. Guan, DongJie & Li, HaiFeng & Inohae, Takuro & Su, Weici & Nagaie, Tadashi & Hokao, Kazunori, 2011. "Modeling urban land use change by the integration of cellular automaton and Markov model," Ecological Modelling, Elsevier, vol. 222(20), pages 3761-3772.
    2. Mansour, Shawky & Al-Belushi, Mohammed & Al-Awadhi, Talal, 2020. "Monitoring land use and land cover changes in the mountainous cities of Oman using GIS and CA-Markov modelling techniques," Land Use Policy, Elsevier, vol. 91(C).
    3. West, Thales A.P. & Fearnside, Philip M., 2021. "Brazil’s conservation reform and the reduction of deforestation in Amazonia," Land Use Policy, Elsevier, vol. 100(C).
    4. Padonou, Elie A. & Lykke, Anne M. & Bachmann, Yvonne & Idohou, Rodrigue & Sinsin, Brice, 2017. "Mapping changes in land use/land cover and prediction of future extension of bowé in Benin, West Africa," Land Use Policy, Elsevier, vol. 69(C), pages 85-92.
    5. Gomes, Eduardo & Abrantes, Patrícia & Banos, Arnaud & Rocha, Jorge, 2019. "Modelling future land use scenarios based on farmers’ intentions and a cellular automata approach," Land Use Policy, Elsevier, vol. 85(C), pages 142-154.
    6. Ilya Gelfand & Ritvik Sahajpal & Xuesong Zhang & R. César Izaurralde & Katherine L. Gross & G. Philip Robertson, 2013. "Sustainable bioenergy production from marginal lands in the US Midwest," Nature, Nature, vol. 493(7433), pages 514-517, January.
    7. Xu, Tingting & Gao, Jay & Li, Yuhua, 2019. "Machine learning-assisted evaluation of land use policies and plans in a rapidly urbanizing district in Chongqing, China," Land Use Policy, Elsevier, vol. 87(C).
    8. Gomes, L.C. & Bianchi, F.J.J.A. & Cardoso, I.M. & Schulte, R.P.O. & Arts, B.J.M. & Fernandes Filho, E.I., 2020. "Land use and land cover scenarios: An interdisciplinary approach integrating local conditions and the global shared socioeconomic pathways," Land Use Policy, Elsevier, vol. 97(C).
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