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A Study on the Availability of Spatial and Statistical Data for Assessing CO2 Absorption Rate in Forests – A Case Study on Ansan-si –

  • Journal of Environmental Impact Assessment
  • Abbr : J EIA
  • 2018, 27(2), pp.124-138
  • Publisher : Korean Society Of Environmental Impact Assessment
  • Research Area : Engineering > Environmental Engineering

김성훈 1 Ilkwon Kim 1 전배석 1 Hyuksoo Kwon 1

1국립생태원

Accredited

ABSTRACT

This research was conducted to examine the availability of spatial data for assessing absorption rates of CO2 in the forest of Ansan-si and evaluate the validity of methods that analyze CO2 absorption. To statistically assess the CO2 absorption rates per year, the 1:5,000 Digital Forest- Map (Lim5000) and Standard Carbon Removal of Major Forest Species (SCRMF) methods were employed. Furthermore, Land Cover Map (LCM) was also used to verify CO2 absorption rate availability per year. Great variations in CO2 absorption rates occurred before and after the year 2010. This was due to improvement in precision and accuracy of the Forest Basic Statistics (FBS) in 2010, which resulted in rapid increase in growing stock. Thus, calibration of data prior to 2010 is necessary, based on recent FBS standards. Previous studies that employed Lim5000 and FBS (2015, 2010) did not take into account the CO2 absorption rates of different tree species, and the combination of SCRMF and Lim5000 resulted in CO2 absorption of 42,369 ton. In contrast to the combination of SCRMF and Lim5000, LCM and SCRMF resulted in CO2 absorption of 40,696 ton. Homoscedasticity tests for Lim5000 and LCM resulted in p-value <0.01, with a difference in CO2 absorption of 1,673 ton. Given that CO2 absorption in forests is an important factor that reduces greenhouse gas emissions, the findings of this study should provide fundamental information for supporting a wide range of decision-making processes for land use and management.

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