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2025 Vol.52, Issue 4 Preview Page

Plant & Forest

Application of LANDIS-II for analyzing post-fire forest succession in Korea
Jinsol Lim1
,
Jae-Yong Choi1*
1Department of Forest Science, Chungnam National University, Daejeon 34134, Korea
*Corresponding Author
1 December 2025. pp. 639-651
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Abstract

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.

Keywords
forest landscape model
forest vegetation change
natural regeneration
wildfire
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Information
  • Publisher :Institute of Agricultural Science, Chungnam National University
  • Publisher(Ko) :충남대학교 농업과학연구소
  • Journal Title :Korean Journal of Agricultural Science
  • Journal Title(Ko) :농업과학연구
  • Volume : 52
  • No :4
  • Pages :639-651
  • Received Date : 2025-10-17
  • Revised Date : 2025-11-05
  • Accepted Date : 2025-11-07
  • DOI :https://doi.org/10.7744/kjoas.520419
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