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Estimating the Potential for Conservation and Farming in the Amazon and Cerrado under Four Policy Scenarios

Author

Listed:
  • Amintas Brandão Jr.

    (Center for Sustainability and the Global Environment (SAGE), University of Wisconsin-Madison, 1710 University Avenue, Madison, WI 53726, USA)

  • Lisa Rausch

    (Center for Sustainability and the Global Environment (SAGE), University of Wisconsin-Madison, 1710 University Avenue, Madison, WI 53726, USA)

  • América Paz Durán

    (Conservation Science Group, Department of Zoology, University of Cambridge, Cambridge CB2 3QZ, UK
    UN Environment World Conservation Monitoring Center, Huntingdon Road, Cambridge CB3 0DL, UK
    Luc Hoffmann Institute, c/o WWF International, Avenue du Mont Blanc, 1196 Gland, Switzerland
    Instituto de Ciencias Ambientales y Evolutivas, Universidad Austral de Chile, Valdivia 5090000, Chile)

  • Ciniro Costa Jr.

    (Instituto de Manejo e Certificação Florestal e Agrícola (Imaflora), 185 Estrada Chico Mendes, Piracicaba, SP 13426 420, Brazil)

  • Seth A. Spawn

    (Center for Sustainability and the Global Environment (SAGE), University of Wisconsin-Madison, 1710 University Avenue, Madison, WI 53726, USA
    Department of Geography, University of Wisconsin-Madison, 550 North Park Street, Madison, WI 53706, USA)

  • Holly K. Gibbs

    (Center for Sustainability and the Global Environment (SAGE), University of Wisconsin-Madison, 1710 University Avenue, Madison, WI 53726, USA
    Department of Geography, University of Wisconsin-Madison, 550 North Park Street, Madison, WI 53706, USA)

Abstract

Since 2013, clearing rates have rapidly increased in the Amazon and Cerrado biomes. This acceleration has raised questions about the efficacy of current regional public and private conservation policies that seek to promote agricultural production while conserving remnants of natural vegetation. In this study, we assessed conservation and agricultural outcomes of four potential policy scenarios that represent perfect adherence to private sector, zero-deforestation commitments (i.e., the Amazon soy moratorium—ASM and the Amazon cattle agreements—CA) and to varying levels of implementation of the Brazilian Forest Code (FC). Under a zero-clearing scenario, we find that the extent of croplands as of 2017 within the two biomes (31 MHa) could double without further clearing if agriculture were to expand on all previously cleared land that is suitable for crops. Moreover, at least 47 MHa of land that is already cleared but unsuitable for crops would remain available for pasture. Under scenarios in which only legal clearing under the FC could occur, 51 MHa of additional natural vegetation could be cleared. This includes as many as 1 MHa of nonforest vegetation that could be cleared in the Amazon biome without triggering the ASM and CA monitoring systems. Two-thirds of the total vegetation vulnerable to legal clearing is located within the Cerrado biome, and 19 MHa of this land is suitable for cropland expansion. Legal clearing of all of these areas could reduce biodiversity persistence by 4% within the two biomes, when compared with the zero-clearing scenario, and release up to 9 PgCO 2 e, with the majority (75%) coming from the Cerrado biome. However, when we considered the potential outcomes of full implementation of the FC, we found that 22% (11 MHa) of the 51 MHa of vegetation subject to legal clearing could be protected through the environmental quotas market, while an additional 1 MHa should be replanted across the two biomes, predominantly in the Amazon biome (73% of the area subject to replanting). Together, quotas and replanting could prevent the release of 2 PgCO 2 e that would otherwise be emitted if all legal clearing occurred. Based on our results, we conclude that ongoing legal clearing could create additional space for cropland and cattle production beyond the substantial existing stocks of cleared areas but would significantly impair local carbon and biodiversity stocks.

Suggested Citation

  • Amintas Brandão Jr. & Lisa Rausch & América Paz Durán & Ciniro Costa Jr. & Seth A. Spawn & Holly K. Gibbs, 2020. "Estimating the Potential for Conservation and Farming in the Amazon and Cerrado under Four Policy Scenarios," Sustainability, MDPI, vol. 12(3), pages 1-22, February.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:3:p:1277-:d:318885
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    References listed on IDEAS

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    1. Chris D. Thomas & Alison Cameron & Rhys E. Green & Michel Bakkenes & Linda J. Beaumont & Yvonne C. Collingham & Barend F. N. Erasmus & Marinez Ferreira de Siqueira & Alan Grainger & Lee Hannah & Lesle, 2004. "Extinction risk from climate change," Nature, Nature, vol. 427(6970), pages 145-148, January.
    2. Cuneyt Koyuncu & Rasim Yilmaz, 2013. "Deforestation, corruption, and private ownership in the forest sector," Quality & Quantity: International Journal of Methodology, Springer, vol. 47(1), pages 227-236, January.
    3. Assunção, Juliano & Gandour, Clarissa & Rocha, Rudi, 2015. "Deforestation slowdown in the Brazilian Amazon: prices or policies?," Environment and Development Economics, Cambridge University Press, vol. 20(6), pages 697-722, December.
    4. David S Wilcove & Martin Wikelski, 2008. "Going, Going, Gone: Is Animal Migration Disappearing," PLOS Biology, Public Library of Science, vol. 6(7), pages 1-4, July.
    5. Brenda Brito, 2017. "Potential trajectories of the upcoming forest trading mechanism in Pará State, Brazilian Amazon," PLOS ONE, Public Library of Science, vol. 12(4), pages 1-21, April.
    6. John Harte & Annette Ostling & Jessica L. Green & Ann Kinzig, 2004. "Climate change and extinction risk," Nature, Nature, vol. 430(6995), pages 34-34, July.
    7. Tomislav Hengl & Jorge Mendes de Jesus & Gerard B M Heuvelink & Maria Ruiperez Gonzalez & Milan Kilibarda & Aleksandar Blagotić & Wei Shangguan & Marvin N Wright & Xiaoyuan Geng & Bernhard Bauer-Marsc, 2017. "SoilGrids250m: Global gridded soil information based on machine learning," PLOS ONE, Public Library of Science, vol. 12(2), pages 1-40, February.
    8. Meijer, Karen, 2014. "Can supply chain initiatives reduce deforestation? A comparative analysis of cases from Brazil and Indonesia," IDOS Discussion Papers 36/2014, German Institute of Development and Sustainability (IDOS).
    9. Edenise Garcia & Fábio Sampaio Vianna Ramos Filho & Giovanni Matheus Mallmann & Francisco Fonseca, 2017. "Costs, Benefits and Challenges of Sustainable Livestock Intensification in a Major Deforestation Frontier in the Brazilian Amazon," Sustainability, MDPI, vol. 9(1), pages 1-17, January.
    10. Bernardo F. T. Rudorff & Marcos Adami & Joel Risso & Daniel Alves De Aguiar & Bernardo Pires & Daniel Amaral & Leandro Fabiani & Izabel Cecarelli, 2012. "Remote Sensing Images to Detect Soy Plantations in the Amazon Biome—The Soy Moratorium Initiative," Sustainability, MDPI, vol. 4(5), pages 1-15, May.
    11. Erasmus K.H.J. Zu Ermgassen & Melquesedek Pereira de Alcântara & Andrew Balmford & Luis Barioni & Francisco Beduschi Neto & Murilo M. F. Bettarello & Genivaldo De Brito & Gabriel C. Carrero & Eduardo , 2018. "Results from On-The-Ground Efforts to Promote Sustainable Cattle Ranching in the Brazilian Amazon," Sustainability, MDPI, vol. 10(4), pages 1-26, April.
    12. Ermgassen, Erasmus Klaus Helge Justus zu & Ayre, Ben & Godar, Javier & Bastos Lima, Mairon G. & Bauch, Simone & Garrett, Rachael & Green, Jonathan & Lathuillière, Michael J & Löfgren, Pernilla & MacFa, 2019. "Using supply chain data to monitor zero deforestation commitments: an assessment of progress in the Brazilian soy sector," AgriXiv xb3nk, Center for Open Science.
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    Cited by:

    1. Reginaldo Carvalho Santos & Carlos Antonio Silva Junior & Leandro Denis Battirola & Mendelson Lima, 2022. "Importance of legislation for maintaining forests on private properties in the Brazilian Cerrado," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(3), pages 3356-3370, March.
    2. Amintas Brandão Jr. & Lisa Rausch & Jacob Munger & Holly K. Gibbs, 2023. "Mapping Slaughterhouse Supply Zones in the Brazilian Amazon with Cattle Transit Records," Land, MDPI, vol. 12(9), pages 1-17, September.
    3. Skidmore, Marin & Sims, Kaitlyn M. & Gibbs, Holly & Rausch, Lisa, 2021. "Health, climate, and agriculture: A case study of childhood cancer in Brazil’s Amazon and Cerrado biomes," 2021 Annual Meeting, August 1-3, Austin, Texas 313872, Agricultural and Applied Economics Association.
    4. Edivando Vitor do Couto & Pablo B. Oliveira & Luciane Maria Vieira & Marcelo H. Schmitz & José Hilário D. Ferreira, 2020. "Integrating Environmental, Geographical and Social Data to Assess Sustainability in Hydrographic Basins: The ESI Approach," Sustainability, MDPI, vol. 12(7), pages 1-16, April.

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