Tree Ecosystem Services, for Everyone? A Compositional Analysis Approach to Assess the Distribution of Urban Trees as an Indicator of Environmental Justice

Marco Cruz-Sandoval, María Isabel Ortego and Elisabet Roca
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Marco Cruz-Sandoval: Institute for Sustainability Science and Technology, Universitat Politècnica de Catalunya-BarcelonaTech, 08034 Barcelona, Spain
María Isabel Ortego: Department of Civil and Environmental Engineering, Universitat Politècnica de Catalunya-BarcelonaTech, 08034 Barcelona, Spain
Elisabet Roca: Institute for Sustainability Science and Technology, Universitat Politècnica de Catalunya-BarcelonaTech, 08034 Barcelona, Spain

Sustainability, 2020, vol. 12, issue 3, 1-21

Abstract: Trees provide a broad amount of ecosystem services in urban areas. Although it is well documented that trees are essential for the well-being and livability of cities, trees are often not evenly distributed. Studies have found that urban residents with a deprived socioeconomic status are associated with a lower coverage and access to urban trees in their communities, yet a fair distribution of trees contributes to the sustainability and resilience of cities. In this context, the environmental justice movement seeks to ensure equal distribution of green infrastructure and its benefits throughout a territory. The objective of this study is threefold: (i) to determine whether urban trees in Guadalajara, Mexico, are distributed equally; (ii) to assess the association between urban trees and socioeconomic status; and (iii) to introduce compositional data analysis to the existing literature. Due to the compositional nature of the data, compositional analysis techniques are applied. We believe this novel approach will help define the proper management of data used in the literature. The outcomes provide insights for urban planners working towards the Sustainable Development Goals to help eradicate the uneven distribution of urban trees in cities.

Keywords: urban trees; ecosystem services; environmental justice; compositional data analysis; log-ratio; Guadalajara (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

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