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A multiple-class distance-decaying approach for mapping temperature reduction ecosystem services provided by urban vegetation in Santiago de Chile

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  • Fernández, Ignacio C.

Abstract

Mapping ecosystem services is a challenging task, particularly for regulating services presenting spatial mismatches between the areas providing the services and those benefiting from them, such as the temperature reduction ecosystem service (TRES) provided by urban vegetation. The challenge for mapping TRES arises because vegetation not only reduces temperatures at the immediate location, but also in distance-decaying rates in surrounding areas. Furthermore, different functional types of vegetation have differential cooling capabilities, making difficult to assess the accumulated level of TRES provided by vegetated areas if these are heterogeneous in terms of vegetation cover and functional types. To help overcoming these challenges, this work presents a GIS-based methodological approach for mapping TRES that takes explicit consideration of the differential cooling capabilities of vegetation functional types and the distance-decaying spatial transference of services from vegetated to surrounding areas. This approach is applied to the city of Santiago, comparing the mapping results with two other potential alternative mapping methods. The mapping approach presented in this work consistently outperformed the alternative methods. This approach could be easily applied to other urban areas and adapted to be used for mapping other regulating services, such as air and noise pollution mitigation provided by urban vegetation.

Suggested Citation

  • Fernández, Ignacio C., 2019. "A multiple-class distance-decaying approach for mapping temperature reduction ecosystem services provided by urban vegetation in Santiago de Chile," Ecological Economics, Elsevier, vol. 161(C), pages 193-201.
  • Handle: RePEc:eee:ecolec:v:161:y:2019:i:c:p:193-201
    DOI: 10.1016/j.ecolecon.2019.03.029
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    References listed on IDEAS

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    1. Fisher, Brendan & Turner, R. Kerry & Morling, Paul, 2009. "Defining and classifying ecosystem services for decision making," Ecological Economics, Elsevier, vol. 68(3), pages 643-653, January.
    2. Luis Inostroza & Massimo Palme & Francisco de la Barrera, 2016. "A Heat Vulnerability Index: Spatial Patterns of Exposure, Sensitivity and Adaptive Capacity for Santiago de Chile," PLOS ONE, Public Library of Science, vol. 11(9), pages 1-26, September.
    3. Gago, E.J. & Roldan, J. & Pacheco-Torres, R. & Ordóñez, J., 2013. "The city and urban heat islands: A review of strategies to mitigate adverse effects," Renewable and Sustainable Energy Reviews, Elsevier, vol. 25(C), pages 749-758.
    4. Pulighe, Giuseppe & Fava, Francesco & Lupia, Flavio, 2016. "Insights and opportunities from mapping ecosystem services of urban green spaces and potentials in planning," Ecosystem Services, Elsevier, vol. 22(PA), pages 1-10.
    5. Bagstad, Kenneth J. & Johnson, Gary W. & Voigt, Brian & Villa, Ferdinando, 2013. "Spatial dynamics of ecosystem service flows: A comprehensive approach to quantifying actual services," Ecosystem Services, Elsevier, vol. 4(C), pages 117-125.
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    Cited by:

    1. Catalina B. Muñoz-Pacheco & Nélida R. Villaseñor, 2022. "Urban Ecosystem Services in South America: A Systematic Review," Sustainability, MDPI, vol. 14(17), pages 1-17, August.

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