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Coastal Scenery Quality: A Management Tool for Sandy Beaches

Author

Listed:
  • Lorrana Lopes Diniz

    (Laboratório de Ciências Ambientais, Universidade Estadual do Norte Fluminense Darcy, Ribeiro, Av. Alberto Lamego 2000, Parque Califórnia Campos dos Goytacazes, CEP 28013-602, RJ, Brazil)

  • Phillipe Mota Machado

    (Departamento de Biologia, Centro de Ciências Exatas, Naturais e da Saúde, Universidade Federal do Espírito Santo, Alto Universitário, S/N∘, Guararema, Alegre Alegre, CEP 29500-000, ES, Brazil)

  • Juliano Silva Lima

    (Instituto Federal de Sergipe, Campus São Cristóvão Rodovia BR-101, Km 96, Povoado Quissamã, CNPJ)

  • Leonardo Lopes Costa

    (Laboratório de Ciências Ambientais, Universidade Estadual do Norte Fluminense Darcy, Ribeiro, Av. Alberto Lamego 2000, Parque Califórnia Campos dos Goytacazes, CEP 28013-602, RJ, Brazil)

  • Igor David Da Costa

    (Departamento de Ciências Exatas, Biológicas e da Terra, Universidade Federal Fluminense, Av. João Jasbick, S/N, Aeroporto, Santo Antônio de Pádua, CEP 28470-000, RJ, Brazil)

  • Ilana Rosental Zalmon

    (Laboratório de Ciências Ambientais, Universidade Estadual do Norte Fluminense Darcy, Ribeiro, Av. Alberto Lamego 2000, Parque Califórnia Campos dos Goytacazes, CEP 28013-602, RJ, Brazil)

Abstract

Beaches are multidimensional environments, and their management must include the ecological, sociocultural and economic aspects. The continuous occupation of this ecosystem combined with the scarcity of adequate management plans has reduced the quality of coastal sceneries. Therefore, strategies are needed to ensure the perpetuity of resources and delivery of ecosystem services. The objective of this study was to assess the coastal scenery quality at three sandy beaches of Rio de Janeiro, Brazil. A quali-quantitative approach was applied using measurable aspects, considering eight categories as accessibility, water quality, scenic quality, infrastructure, safety and environmental education, based on 67 indicators. The beaches commonly presented higher values for water quality, while environmental education had the lowest ranks, indicating that this category should be prioritised in management strategies. In addition to the low cost of this effective tool for beach management, it is quick to apply, easy to analyse and represents an advancement in important issues about the use of integrative indicators to evaluate coastal sceneries, providing a scientific base that can offer evidence about the main management priorities in areas where coastal tourism has a significant role.

Suggested Citation

  • Lorrana Lopes Diniz & Phillipe Mota Machado & Juliano Silva Lima & Leonardo Lopes Costa & Igor David Da Costa & Ilana Rosental Zalmon, 2022. "Coastal Scenery Quality: A Management Tool for Sandy Beaches," Journal of Environmental Assessment Policy and Management (JEAPM), World Scientific Publishing Co. Pte. Ltd., vol. 24(01), pages 1-32, March.
    • Handle: RePEc:wsi:jeapmx:v:24:y:2022:i:01:n:s1464333222500247
    DOI: 10.1142/S1464333222500247
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    Citations

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    Cited by:

    1. Zhang, LiXia & Baloch, Zulfiqar Ali & Niu, Guangli, 2023. "Effects of COVID-19 on green bonds, renewable power stocks, and carbon markets: A dynamic spillover analysis," Renewable Energy, Elsevier, vol. 216(C).
    2. Jin Sheng & Yubin Gao, 2023. "Combining the financial development and stock market return for green economic recovery in selected developing economies," Economic Change and Restructuring, Springer, vol. 56(6), pages 3885-3908, December.
    3. Ma, Mengjuan & Zhu, Xiao & Liu, Meishan & Huang, Xiaodong, 2023. "Combining the role of green finance and environmental sustainability on green economic growth: Evidence from G-20 economies," Renewable Energy, Elsevier, vol. 207(C), pages 128-136.
    4. Jianhe Wang & Mengxing Cui & Lei Chang, 2023. "Evaluating economic recovery by measuring the COVID-19 spillover impact on business practices: evidence from Asian markets intermediaries," Economic Change and Restructuring, Springer, vol. 56(3), pages 1629-1650, June.
    5. Wang, Yunxian & Wang, Xin & Zhang, Zheng & Cui, Zhanmin & Zhang, Yuan, 2023. "Role of fiscal and monetary policies for economic recovery in China," Economic Analysis and Policy, Elsevier, vol. 77(C), pages 51-63.
    6. Dong, Chunlong & Wu, Hao & Zhou, Jianwen & Lin, Huifang & Chang, Lei, 2023. "Role of renewable energy investment and geopolitical risk in green finance development: Empirical evidence from BRICS countries," Renewable Energy, Elsevier, vol. 207(C), pages 234-241.

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