As of 2017, more than 4 billion people live in urban areas (Ritchie 2018). As people continue to move from rural to urban areas, the concentration of greenhouse gases (GHGs) in urban areas will continue to rise. However, this may be mitigated by increasing carbon sequestration by expanding urban forests (Baines et al. 2020). While the BC government has implemented reforestation projects on logged, provincial land, and has released a Community Toolkit for municipalities to increase their treed environments, there is still available land to be planted between the provincial and municipal land (Cullington et al. 2008). Trees are an important tool for CO2 sequestration and storage. The open landscapes of the Trans-Canada Highway right-of-ways presents an underutilized opportunity to increase the treed environment for carbon sequestration and storage along this open vehicle corridor. This project seeks to model the current carbon sequestration level and the carbon sequestration potential for different vegetation types along the Trans-Canada Highway and develop recommendations for revegetation plans to increase carbon sequestration along this heavily used vehicle corridor. The study site resides along a 20 km stretch of the Trans-Canada Highway in Chilliwack, British Columbia. This area was chosen as it is an agricultural community with very few treed areas. The area was split into the Chilliwack North Polygon (CNP) and the Chilliwack South Polygon (CSP) on ArcMap, on which a grid of 20 m by 20 m squares were laid, which is necessary for transferring the data collected in the field into i-Tree Eco v6.0 (n.d.).
The program i-Tree Eco uses measurements, such as diameter at breast height (DBH) and ground cover class, taken in the field to estimate ecosystem services and structural characteristics of the Chilliwack area. Throughout the CNP and CSP areas, 12 were selected based on accessibility, safety, and site representation. The program i-Tree Canopy v7.0 (n.d.) was also used to bolster this information by estimating tree cover and tree benefits for the Chilliwack area through satellite imagery by randomly selecting 500 sampling points throughout the CNP and CSP areas. Grass surveys were conducted in 1 m by 1 m quadrats placed in an area representative of the selected 20 m by 20 m quadrat (i.e. a homogenous area that represents the majority of the vegetation in the plot). Grasses were identified on site to genus or species whenever possible, and their percent cover measured. Soil samples were also taken within the 1 m by 1 m quadrat within the first 15 cm. As these sample sites house anthroposols, sampling within the first 15 cm was selected to capture conditions in the root zone for plant growth. The soil samples taken were used to determine soil texture and soil pH for planting purposes. Finally, a review of highway management practices was done to identify areas where improvements can be made to increase carbon sequestration. Practical management suggestions are based on the results from the above-mentioned analyses. The program i-Tree Eco v6.0 (n.d) indicated that the CNP had the greatest carbon storage of 172,787.3 kg/ha, while the CSP had 15,270.8 kg/ha. The CNP is able to store 11,554.2 tonnes of carbon while the CSP was only able to store 546.1 tonnes of carbon. However, the CNP had an annual net carbon sequestration of - 57.2 tonnes/yr while the CSP has 2.5 tonnes/yr. Red alder (Alnus rubra) comprised 52.3% of tree species recorded and had the highest carbon storage of 6,322.7 tonnes, followed by bigleaf maple (Acer macrophyllum) with 3,186.0 tonnes, black cottonwood (Populus trichocarpa) with 1416.3 tonnes, western hemlock (Tsuga heterophylla) with 1155.6 tonnes, and paper birch (Betula papyrifera) with 19.7 tonnes. The annual net carbon sequestration of red alders however was - 2.2 tonnes/yr, while bigleaf maple had the highest with 3.7 tonne/yr. The program i-Tree Canopy v7.0 (n.d.) indicated that overall, there was 125.37 tonnes of carbon sequestered annually in trees within the CNP and CSP, with 3,734.34 tonnes stored. The ground cover composition of the CNP had a greater composition of shrub (61.1%) and tree (16%) compared to the CSP, while the CSP had greater plantable space (65.4%).
This data was used to characterize the study area and model the current carbon sequestration and storage. New management strategies were proposed and native vegetation suitable for the study area was identified.