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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 충남대학교 농업과학연구소 Korean Journal of Agricultural Science Korean Journal of Agricultural Science Vol.52 No.4
- 발행연도
- 2025.12
- 수록면
- 639 - 651 (13page)
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초록· 키워드
Wildfire is a major disturbance that fundamentally alters forest ecosystem structure and function. This study applied the LANDIS-II forest landscape model with the PnET-Succession module to simulate 25 years (2000 - 2025) of post-fire forest succession in a natural restoration site affected by the 2000 East Coast wildfire in Goseong, South Korea. Model inputs included ecoregion maps, initial community data, climate records, and species parameters calibrated using domestic and international references. Simulation results predicted Quercus mongolica dominance across 63.8% of the area, followed by Pinus densiflora (32.4%) and Quercus variabilis (3.8%). Field surveys in 2025 showed similar patterns with Q. mongolica dominating 73.7% of surveyed sites, confirming a clear transition from coniferous to deciduous forests. However, P. densiflora distribution was limited to peripheral areas in field observations, contrasting with model predictions. This discrepancy was attributed to two main factors: (1) incomplete parameter calibration, with only 6 of 28 physiological parameters adjusted using local data, and (2) the small spatial scale (82 ha) relative to LANDIS-II’s recommended application scale (> 10,000 ha), which limits the representation of edge effects and seed dispersal. These results highlight both the potential and limitations of LANDIS-II for Korean forest applications, emphasizing the necessity of localized parameter calibration and finer-scale input data. The study provides a quantitative foundation for predictive modeling of post-fire restoration and adaptive forest management under climate change.
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목차
- Abstract
- Introduction
- Materials and Methods
- Results and Discussion
- Conclusion
- References
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UCI(KEPA) : I410-151-26-02-094662650
