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Planning by the rules: A fair chance for the environment in a land-use conflict area

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  • Bircol, Guilherme Augusto Carminato
  • Souza, Marcelo Pereira de
  • Fontes, Aurélio Teodoro
  • Chiarello, Adriano Garcia
  • Ranieri, Victor Eduardo Lima

Abstract

The establishment of protected areas is one of the most common environmental policy tools which can effectively contribute to landscape protection, biodiversity conservation, and ecosystem services provision. In this sense, the Brazilian Law on Native Vegetation Protection establishes the legal reserves, mandatory protected spaces within private rural lands, which seek to maintain and restore ecological functions and promote biodiversity conservation. This paper aims to present an approach that attempted to locate potential protected spaces, in the form of legal reserves, in the East Zone of Ribeirão Preto – a recharge zone of the Guarani Aquifer System. We made use of seven criteria to create five possible scenarios with varying priorities for native vegetation protection or restoration. Then, we used eight landscape metrics, as well as the level of compliance with the law, to discuss the viability of each scenario in terms of ecological thresholds and landscape indicators. We found only one scenario (the broader perspective on recovering the natural vegetation corridors) capable of meeting the ecological and legal requirements. We conclude that using less data-demanding methods, such as the one applied in this research, could be useful in assisting decision-making regarding the selection of areas for conservation or restoration.

Suggested Citation

  • Bircol, Guilherme Augusto Carminato & Souza, Marcelo Pereira de & Fontes, Aurélio Teodoro & Chiarello, Adriano Garcia & Ranieri, Victor Eduardo Lima, 2018. "Planning by the rules: A fair chance for the environment in a land-use conflict area," Land Use Policy, Elsevier, vol. 76(C), pages 103-112.
    • Handle: RePEc:eee:lauspo:v:76:y:2018:i:c:p:103-112
    DOI: 10.1016/j.landusepol.2018.04.038
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    References listed on IDEAS

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    1. Rada, Nicholas E., 2013. "ASSESSING BRAZIL’s CERRADO AGRICULTURAL MIRACLE: AN UPDATE," Revista de Economia e Agronegócio / Brazilian Review of Economics and Agribusiness, Federal University of Vicosa, Department of Agricultural Economics, vol. 11(1), pages 1-38.
    2. Benjamin Cooke & William T. Langford & Ascelin Gordon & Sarah Bekessy, 2012. "Social context and the role of collaborative policy making for private land conservation," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 55(4), pages 469-485, July.
    3. Baer, Werner & Kerstenetzky, Isaac & Villela, Annibal V., 1973. "The changing role of the State in the Brazilian economy," World Development, Elsevier, vol. 1(11), pages 23-34, November.
    4. Alexandratos, Nikos & Bruinsma, Jelle, 2012. "World agriculture towards 2030/2050: the 2012 revision," ESA Working Papers 288998, Food and Agriculture Organization of the United Nations, Agricultural Development Economics Division (ESA).
    5. Rada, Nicholas, 2013. "Assessing Brazil’s Cerrado agricultural miracle," Food Policy, Elsevier, vol. 38(C), pages 146-155.
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    3. Pengnan Xiao & Jie Xu & Chong Zhao, 2022. "Conflict Identification and Zoning Optimization of “Production-Living-Ecological” Space," IJERPH, MDPI, vol. 19(13), pages 1-27, June.
    4. Yanbo, Qu & Shilei, Wang & Yaya, Tian & Guanghui, Jiang & Tao, Zhou & Liang, Meng, 2023. "Territorial spatial planning for regional high-quality development – An analytical framework for the identification, mediation and transmission of potential land utilization conflicts in the Yellow Ri," Land Use Policy, Elsevier, vol. 125(C).
    5. Yanru Zhao & Xiaomin Zhao & Xinyi Huang & Jiaxin Guo & Guohui Chen, 2022. "Identifying a Period of Spatial Land Use Conflicts and Their Driving Forces in the Pearl River Delta," Sustainability, MDPI, vol. 15(1), pages 1-17, December.
    6. Junxiong Mo & Piling Sun & Dandan Shen & Nan Li & Jinye Zhang & Kun Wang, 2023. "Simulation Analysis of Land-Use Spatial Conflict in a Geopark Based on the GMOP–Markov–PLUS Model: A Case Study of Yimengshan Geopark, China," Land, MDPI, vol. 12(7), pages 1-24, June.

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