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http://dx.doi.org/10.7732/kjpr.2022.35.4.471

A Study on the Improvement of Types and Grades of Forest Wetland through Correlation Analysis of Forest Wetland Evaluation Factors and Types  

Lee, Jong-Won (DMZ Botanic Garden, Korea National Arboretum)
Yun, Ho-Geun (DMZ Botanic Garden, Korea National Arboretum)
Lee, Kyu Song (Department of Biology, Gangneung-Wonju National University)
An, Jong Bin (DMZ Botanic Garden, Korea National Arboretum)
Publication Information
Korean Journal of Plant Resources / v.35, no.4, 2022 , pp. 471-501 More about this Journal
Abstract
This study was carried out on 455 forest wetlands of south Korea for which an inventory was established through value evaluation and grade. Correlation analysis was conducted to find out the correlation between the types and grades of forest wetlands and 23 evaluation factors in four categories: vegetation and landscape, material circulation and hydraulics·hydrology, humanities and social landscape, and disturbance level. Through the improvement of types and grades of forest wetlands, it is possible to secure basic data that can be used in setting up conservation measures by preparing standards necessary for future forest wetland conservation and restoration, and to found a systematic monitoring system. First, between the type of forest wetland and size and accessibility showed a positive correlation, but the remaining items were analyzed to have negative or no correlation. In particular, it was found that there was no negative correlation or no correlation with the grades of forest wetland. Moreover, it was found that there was a very strong negative correlation with the weighted four category items. Thus, it is judged that improvement is necessary because there is an error in the weight or adjust the evaluation criteria of the value evaluation item, add an item that can increase objectivity. Especially, in the case of forest wetlands, the ecosystem service function due to biodiversity is the largest, so evaluation items should be improved in consideration of this. Therefore, it can be divided into five categories: uniqueness and rarity (15%), wildlife habitat (15%), vegetation and landscape (35%), material cycle·hydraulic hydrology (30%), and humanities and social landscape (5%). It will be possible to propose weights that can increase effectiveness.
Keywords
Correlation analysis; Evaluation factors; Forest wetland; Grade; Type; Wight;
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Times Cited By KSCI : 5  (Citation Analysis)
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