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http://dx.doi.org/10.14578/jkfs.2022.111.4.461

Future Prospects of Forest Type Change Determined from National Forest Inventory Time-series Data  

Eun-Sook, Kim (Forest Ecology Division, National Institute of Forest Science)
Byung-Heon, Jung (Forest Policy and Economics Division, National Institute of Forest Science)
Jae-Soo, Bae (Future Forest Strategy Department, National Institute of Forest Science)
Jong-Hwan, Lim (Forest Ecology Division, National Institute of Forest Science)
Publication Information
Journal of Korean Society of Forest Science / v.111, no.4, 2022 , pp. 461-472 More about this Journal
Abstract
Natural and anthropogenic factors cause forest types to continuously change. Since the ratio of forest area by forest type is important information for identifying the characteristics of national forest resources, an accurate understanding of the prospect of forest type change is required. The study aim was to use National Forest Inventory (NFI) time-series data to understand the characteristics of forest type change and to estimate future prospects of nationwide forest type change. We used forest type change information from the fifth and seventh NFI datasets, climate, topography, forest stand, and disturbance variables related to forest type change to analyze trends and characteristics of forest type change. The results showed that the forests in Korea are changing in the direction of decreasing coniferous forests and increasing mixed and broadleaf forests. The forest sites that were changing from coniferous to mixed forests or from mixed to broadleaf forests were mainly located in wet topographic environments and climatic conditions. The forest type changes occurred more frequently in sites with high disturbance potential (high temperature, young or sparse forest stands, and non-forest areas). We used a climate change scenario (RCP 8.5) to establish a forest type change model (SVM) to predict future changes. During the 40-year period from 2015 to 2055, the SVM predicted that coniferous forests will decrease from 38.1% to 28.5%, broadleaf forests will increase from 34.2% to 38.8%, and mixed forests will increase from 27.7% to 32.7%. These results can be used as basic data for establishing future forest management strategies.
Keywords
forest type; forest change; future; national forest inventory;
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