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Cropland expansion as a driver of land-use change: the case of Cerrado-Caatinga transition zone in Brazil

Author

Listed:
  • Giovana Mira Espindola

    (Federal University of Piauí (UFPI))

  • Elayne Silva Figueredo

    (Federal University of Piauí (UFPI))

  • Péricles Picanço Júnior

    (Federal University of Piauí (UFPI))

  • Antonio Aderson Reis Filho

    (Federal University of Piauí (UFPI))

Abstract

In Brazil, forest conservation policies have centered primarily on the Amazon rainforest, given its significance to the actual discussion on climate change. Until 2018, and under a period of rigorous macroeconomic conditions, Brazil had successfully decreased Amazon’s deforestation by strengthening national environmental policies. On the other hand, in 2015, the Brazilian government had institutionalized the Matopiba region, placed in the northeast of the Cerrado biome. In the present study, we used linear and spatial regression models to evaluate determinant factors of land-use change in the southwest region of Piauí, Brazil, placed among Cerrado and Caatinga biomes. We considered determinant factors: distribution and proportions of deforestation and significant temporary agricultural products. Our results show that the natural vegetation represented 69.68% of the total area in 2016. The distance to roads variable does not play a substantive function in defining the deforestation patterns (Coef. = − 0.03). We found that variables as distance to ports, large proprieties size, and land price significantly impact land-use transition models. Also, the study shows that protected areas have reduced the probability of deforestation in the region (Coef. = − 0.22).

Suggested Citation

  • Giovana Mira Espindola & Elayne Silva Figueredo & Péricles Picanço Júnior & Antonio Aderson Reis Filho, 2021. "Cropland expansion as a driver of land-use change: the case of Cerrado-Caatinga transition zone in Brazil," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(11), pages 17146-17160, November.
    • Handle: RePEc:spr:endesu:v:23:y:2021:i:11:d:10.1007_s10668-021-01387-z
    DOI: 10.1007/s10668-021-01387-z
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    1. Araújo, Mayara Lucyanne Santos de & Sano, Edson Eyji & Bolfe, Édson Luis & Santos, Jessflan Rafael Nascimento & dos Santos, Juliana Sales & Silva, Fabrício Brito, 2019. "Spatiotemporal dynamics of soybean crop in the Matopiba region, Brazil (1990–2015)," Land Use Policy, Elsevier, vol. 80(C), pages 57-67.
    2. Anselin, Luc & Bera, Anil K. & Florax, Raymond & Yoon, Mann J., 1996. "Simple diagnostic tests for spatial dependence," Regional Science and Urban Economics, Elsevier, vol. 26(1), pages 77-104, February.
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    1. Laurizio Emanuel Ribeiro Alves & Luis Gustavo Gonçalves de Gonçalves & Álvaro Vasconcellos Araújo de Ávila & Giovana Deponte Galetti & Bianca Buss Maske & Giuliano Carlos do Nascimento & Washington Lu, 2024. "A New Climatology of Vegetation and Land Cover Information for South America," Sustainability, MDPI, vol. 16(7), pages 1-20, March.
    2. Andrés A. Salazar & Eduardo C. Arellano & Andrés Muñoz-Sáez & Marcelo D. Miranda & Fabiana Oliveira da Silva & Natalia B. Zielonka & Liam P. Crowther & Vinina Silva-Ferreira & Patricia Oliveira-Rebouc, 2021. "Restoration and Conservation of Priority Areas of Caatinga’s Semi-Arid Forest Remnants Can Support Connectivity within an Agricultural Landscape," Land, MDPI, vol. 10(6), pages 1-20, May.

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