Spatiotemporal patterns of tree canopy cover and socioeconomics in Melbourne |
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| Institution: | 1. Discipline of Geography and Spatial Science, University of Tasmania, Hobart, TAS, Australia;2. Australian Research Centre for Urban Ecology, Royal Botanic Gardens Melbourne, c/o School of Botany, The University of Melbourne, Melbourne, Australia;1. School of Biological Sciences, University of Queensland, St Lucia, 4072, Australia;2. CSIRO Climate Adaptation Flagship and CSIRO Marine and Atmospheric Research, PMB 1, 107-121 Station Street, Aspendale, Victoria, 3195, Australia;3. Environment & Sustainability Institute, University of Exeter, Penryn, Cornwall, TR10 9EZ, U.K.;4. School of Population Health, University of Queensland, Brisbane, Queensland, 4072, Australia;1. School of Geography, Planning & Environment, The University of Queensland, St. Lucia Brisbane, Qld 4072 Australia;2. ARC Centre of Excellence, James Cook University, Townsville, Qld 4811, Australia;1. USDA Forest Service, Pacific Northwest Research Station, 620 SW Main St., Suite 400, Portland, OR 97205, USA;2. USDA Forest Service, Pacific Northwest Research Station, 3200 SW Jefferson Way, Corvallis, OR 97331, USA |
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| Abstract: | This paper introduces a method to study the temporal relationship between the distribution of trees in cities and the residents’ income, rate of home ownership and level of education. Through photo-interpretation methods, it documents tree cover percentages in five inner city Local Government Areas in Melbourne. A 10-year time frame (2001–2011) is examined. Prior socioeconomic indicators are juxtaposed against future tree cover levels to investigate relationships. This study demonstrates that tree cover inequity is increasing over time in Melbourne. The study indicates that prior income level is a fair precursor to future canopy cover. By comparing different tree policy approaches of the five adjacent local government areas in Melbourne, it is identified that progressive policy helps generate positive outcomes for the urban forest. |
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| Keywords: | Income i-Tree Planning Policy Time-related Urban forest |
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