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The Effect of Climate Data Applying Temperature Lapse Rate on Prediction of Potential Forest Distribution  

Lee, Sang-Chul (고려대학교 환경생태공학과)
Choi, Sung-Ho (고려대학교 환경 GIS/RS Center)
Lee, Woo-Kyun (고려대학교 환경생태공학과)
Yoo, Seong-Jin (고려대학교 환경생태공학과)
Byun, Jae-Gyun (국립산림과학원 탄소경영 연구과)
Publication Information
Journal of Korean Society for Geospatial Information Science / v.19, no.2, 2011 , pp. 19-27 More about this Journal
Abstract
The objective of this study was to suggest technical approaches for preparation and down scaling of climate data used for predicting the potential forest distribution. To predict the forest distribution, we employed a Korean-specific forest distribution model, so-called the TAG(Thermal Analogy Group), and defined the PFT(Plant Functional Types) based on the HyTAG(Hydrological and Thermal Analogy Group). The climate data with 20km spatial resolution were interpolated to fit on the input data format with 1km spatial resolution. Two potential forest distribution maps were estimated using climate data constructed by kriging, one of the interpolation and down-scaling approaches, with and without lapse rate considered. Through the verification process by comparing two potential maps with the actual vegetation map, the forest distribution using the lapse rate was proven to be 38% more accurate.
Keywords
Climate Change; Potential Forest Distribution; Down-Scaling; Interpolation; Lapse Rate;
Citations & Related Records
Times Cited By KSCI : 6  (Citation Analysis)
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