ANALYSIS OF CARBON DIOXIDE STORAGE AND SEQUESTRATION POTENTIALS OF CITY PARKS IN BANDUNG CITY

• Main Author: Kow, Erwan
• Format: Theses
• Language: Indonesia
• Subjects: Teknik saniter dan perkotaan; teknik perlindungan lingkungan
• Online Access: https://digilib.itb.ac.id/gdl/view/32075
• Institution: Institut Teknologi Bandung

Abstract: Increasing concentrations of greenhouse gases (GHG’s) are linked with the increased risk of global climate change. Urban trees can reduce atmospheric carbon dioxide (CO2), the main anthropogenic GHG. Urban forest is a widely known carbon reservoir. Woody vegetation, trees and shrubs, sequester CO2 through photosynthesis and store excess carbon as biomass. Park is the second largest component of urban forest in Bandung City, and is targetted to be the largest in 2030 .The potentials of carbon storage and sequestration in city parks in Bandung have not been measured prior to this research. The research investigated CO2 storage and sequestration of city parks – existing and potentials – by means of, urban tree allometry development, biomass survey, and multiple regression models to analyse significant factors affecting storage and sequestration. The research found the average density of CO2 storage (DCS) of City Park was, 4.51 (95% CI, -1.98; +2.56) ton CO2 per 100 square meter (TonC.100m-2) with total CO2 storage (CS) for parks in Bandung at, 39,278 (- 17,244; +22,259) TonC. The average density of CO2 sequestration rate (DCSR) was, 0.30 (-0.14; +0.21) ton CO2 per 100 square meter per yar (TonC.100m-2.Yr- 1), with CO2 sequestration rate (CSR) at 2,067 (-1,179; +1,816) TonC.Yr-1. Variables which significantly affected DCS in City Parks in three different regression models were, Shannon Diversity Index (H’), Elevation (E), Sum Dominance Ratio of the Dominant Tree Species (SDRdm), and Tree Density (TD). Meanwhile, variables which significantly affected DCSR were, E, TD, and SDRdm.Three storage and sequestration models (Pesimistic, Realistic, and Optimistic) scenarios, which were run for a ten year period, estimated areas for additinal tree planting between 114,089 – 329,718 m2. The three modeling scenarios have the potential to increase, within the next 10 years: DCS by, 0.1 – 13.4 TonC.100 m-2; CS, by, 116,3 – 5,126.1 TonC; DCSR by, 0.01 – 0.28 TonC.100 m-2.Yr-1; and CSR by, 13.4 – 863.9 TonC Yr-1. The precision of DCS estimate, for the average of parks in Bandung was (lower and upper bounds) - 44% and +57% of the average. The limited number of sample plots had probably resulted in non-representative populations of parks’ storage and sequestration data (dependent variables) and the related indipendent variables. The study’s sample size was 47% of that required for estimates with + 20% precision.The precision of DCSR was affected by the long interval (10 years) of CO2 stock monitoring, which cause difficulties in tracing the dynamics of variables which affected tree population and growth. Representative sample size of the plots can increase the precision of CO2 storage and sequestration estimates, clarify/consolidate relations of indipendent variables with DCS/DCSR. A more accurate estimation of sequestration probably needs the monitoring of variables which affect the population and growth of trees, conducted at shorter monitoring interval. The relation of indipendent variable, E with DCS/DCSR in a model can be further investigated by the inclusion of environmental variables which change with the change in elevations. Future study can include the investigation of other CO2 storage and sequestration components, e.g. (especially) soil organic carbon, organic litter, and shrubs in the parks. Another potential topic for future investigation is on CO2 emissions from park/tree management.