Metropolitan Sydney has a network of rail corridors almost 400 kilometers in length, which vary in width from narrow cuttings to
wide easements. With an appropriate selection of vegetation species, these corridors can be used to offset carbon emissions from
railway operations. Simultaneously, the plantings will improve air quality, reduce pollution and storm water flows, ameliorate
urban heating deliver biodiversity gains and improve urban design and property values. A pilot study was carried out on a
representative section of one of the major rail lines in Sydney in 2016. A detailed inventory of vegetation on the selected site was
obtained through a field survey and a variety of tools were used including i-Tree Eco to benchmark current carbon sequestration
and storage (CS&S) levels. Study outcomes include the existing carbon capacity of the rail corridor’s above-ground (and
substrate) biomass and air pollution reduction. It also presents estimates of CS&S potential by identifying future planting areas within the pilot study corridor. These results are valuable for infrastructure policy formulation directed towards carbon emissions as well as securing the co-benefits noted above.
Ghosh, S & Yung, SH 2017, 'Carbon and economic benefits of urban trees in two Sydney transport corridor case studies', https://www.ecocity2017.com/program/papers/, Ecocity World Summit 2017, Melbourne, Australia, pp. 1-12.
Trees in urban areas provide multiple local sustainability and climate change benefits. Roads as the movement arteries of cities are leading sources of greenhouse gas emissions from transport and impact different land uses along and around these networks. This paper estimates carbon sequestration and storage potential, air pollution reduction capability and associated economic benefits of urban trees using Geographic Information Systems (GIS) methods and i-Tree Eco v5.0. The research was conducted on selected sections of two transport corridor case studies along the Pacific Highway and Parramatta Road in Sydney, Australia. This research provided valuable information and evidence base on tree species, composition, characteristics and tree densities in these two Sydney case studies. Localities with larger trees were equipped with higher carbon sequestration potential and storage capacity. Variations in land use patterns can influence significantly urban forest compositions and subsequent carbon sequestration and storage potential and air pollution reduction capabilities of urban trees. This research established significant sustainability importance and ecosystem service benefits of urban trees. These outcomes could raise awareness for existing tree preservation and new tree planting and highlight the need for formulating meaningful planning policies for urban trees. The participation and building awareness of community and supports of government, private and other organisations would be essential in this process.
Amati, M, Brack, C, Ghosh, S, Kachenko, A, McManus, P, Shrethsa, K, Wang, M & Yung, W 2013, 'Understanding the carbon and pollution mitigation potential of Sydney's urban forest', Managing Our Forests into the 21st Century - Poceedings of the Institute of Foresters of Australia National Conference, Managing our Forests into the 21st Century, The Institute of Foresters of Australia, Canberra, Australia, pp. 151-158.
Sydney's population is expected to reach 6 million by 2036, with infill development along urban corridors housing many. Eighty percent of Australia's population now live in urban areas which will be affected by peak oil prices and climate change. The goal of this project is to better understand the benefits of urban forestry, given these challenges. A widely used technique to map and model the benefits of urban vegetation is i-Tree. This study aims to show, along two corridors, how remote sensing with hyperspectral and LIDAR imaging collected by local councils can add to this tool to help quantify some of the social aspects of urban forestry. LIDAR, hyperspectral and field data using the i-Tree manual were collected along two major highways that form linear transects across different suburbs and land uses. The total amount of shadow on the roads and buildings was calculated using the ARC-GIS hillshade function to serve as an index of potential microclimate mitigation. The results accurately indicate the amount of shading from trees and it is possible to calculate the energy savings from climate-extreme mitigation along both roads. The results demonstrate how remote sensing and i-Tree can be combined. Socialcultural barriers and preferences for more tree planting are also discussed. Overall the study shows the ways in which local councils can use two tools and sources of data with which they would already be familiar to calculate the impact of planning decisions such as increasing population density.