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Identifying Land Use Change Trajectories in Brazil’s Agricultural Frontier

Author

Listed:
  • Adeline M. Maciel

    (National Institute for Space Research (INPE), São José dos Campos, São Paulo 12227-010, Brazil
    These authors contributed equally to this work.)

  • Michelle C. A. Picoli

    (National Institute for Space Research (INPE), São José dos Campos, São Paulo 12227-010, Brazil
    These authors contributed equally to this work.)

  • Lubia Vinhas

    (National Institute for Space Research (INPE), São José dos Campos, São Paulo 12227-010, Brazil
    These authors contributed equally to this work.)

  • Gilberto Camara

    (National Institute for Space Research (INPE), São José dos Campos, São Paulo 12227-010, Brazil
    Group on Earth Observations (GEO), CH-1211 Geneva, Switzerland
    These authors contributed equally to this work.)

Abstract

Many of the world’s agricultural frontiers are located in the tropics. Crop and cattle expansion in these regions has a strong environmental impact. This paper examines land use and land cover transformations in Brazil, where large swaths of natural vegetation are being removed to make way for agricultural production. In Brazil, the land use dynamics are of great interest regarding the country’s sustainable development and climate mitigation actions, leading to the formulation and implantation of public policies and supply chain interventions to reduce deforestation. This paper uses temporal trajectory analysis to discuss the patterns of agricultural practices change in the different biomes of Mato Grosso State, one of Brazil’s agricultural frontiers. Taking yearly land use and cover classified images from 2001 to 2017, we identified, quantified, and spatialized areas of stability, intensification, reduction, interchange, and expansion of single and double cropping. The LUC Calculus was used as a tool to extract information about trajectories and trajectories of change. Over two decades, the land use change trajectories uncover the interplay between forest removal, cattle raising, grain production, and secondary vegetation regrowth. We observed a direct relationship between the conversion of forest areas to pasture and of pasture to agriculture areas in the Amazon portion of the Mato Grosso State in different periods. Our results enable a better understanding of trends in agricultural practices.

Suggested Citation

  • Adeline M. Maciel & Michelle C. A. Picoli & Lubia Vinhas & Gilberto Camara, 2020. "Identifying Land Use Change Trajectories in Brazil’s Agricultural Frontier," Land, MDPI, vol. 9(12), pages 1-16, December.
    • Handle: RePEc:gam:jlands:v:9:y:2020:i:12:p:506-:d:459587
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    References listed on IDEAS

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    1. Azevedo-Ramos, Claudia & Moutinho, Paulo & Arruda, Vera Laísa da S. & Stabile, Marcelo C.C. & Alencar, Ane & Castro, Isabel & Ribeiro, João Paulo, 2020. "Lawless land in no man’s land: The undesignated public forests in the Brazilian Amazon," Land Use Policy, Elsevier, vol. 99(C).
    2. Hampf, Anna C. & Stella, Tommaso & Berg-Mohnicke, Michael & Kawohl, Tobias & Kilian, Markus & Nendel, Claas, 2020. "Future yields of double-cropping systems in the Southern Amazon, Brazil, under climate change and technological development," Agricultural Systems, Elsevier, vol. 177(C).
    3. Michelle C. A. Picoli & Ana Rorato & Pedro Leitão & Gilberto Camara & Adeline Maciel & Patrick Hostert & Ieda Del’Arco Sanches, 2020. "Impacts of Public and Private Sector Policies on Soybean and Pasture Expansion in Mato Grosso—Brazil from 2001 to 2017," Land, MDPI, vol. 9(1), pages 1-15, January.
    4. Peter Richards, 2015. "What Drives Indirect Land Use Change? How Brazil's Agriculture Sector Influences Frontier Deforestation," Annals of the American Association of Geographers, Taylor & Francis Journals, vol. 105(5), pages 1026-1040, September.
    5. Guerra, Angélica & Roque, Fabio de Oliveira & Garcia, Letícia Couto & Ochoa-Quintero, José Manuel & Oliveira, Paulo Tarso Sanches de & Guariento, Rafael Dettogni & Rosa, Isabel M.D., 2020. "Drivers and projections of vegetation loss in the Pantanal and surrounding ecosystems," Land Use Policy, Elsevier, vol. 91(C).
    6. Luciana S. Soler & Peter H. Verburg & Diógenes S. Alves, 2014. "Evolution of Land Use in the Brazilian Amazon: From Frontier Expansion to Market Chain Dynamics," Land, MDPI, vol. 3(3), pages 1-34, August.
    7. 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).
    8. Silva, C.A. & Lima, Mendelson, 2018. "Soy Moratorium in Mato Grosso: Deforestation undermines the agreement," Land Use Policy, Elsevier, vol. 71(C), pages 540-542.
    9. Gollnow, Florian & Hissa, Leticia de Barros Viana & Rufin, Philippe & Lakes, Tobia, 2018. "Property-level direct and indirect deforestation for soybean production in the Amazon region of Mato Grosso, Brazil," Land Use Policy, Elsevier, vol. 78(C), pages 377-385.
    10. Avery S. Cohn & Leah K. VanWey & Stephanie A. Spera & John F. Mustard, 2016. "Cropping frequency and area response to climate variability can exceed yield response," Nature Climate Change, Nature, vol. 6(6), pages 601-604, June.
    11. Beatrice Asenso Barnieh & Li Jia & Massimo Menenti & Jie Zhou & Yelong Zeng, 2020. "Mapping Land Use Land Cover Transitions at Different Spatiotemporal Scales in West Africa," Sustainability, MDPI, vol. 12(20), pages 1-52, October.
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