Selection of Abies nephrolepis Materials for Restoration of Genetic Diversity in Mt. Gariwangsan Degraded Area

Han-Na Seo, Jae-Hyun Park and Hyo-In Lim ()
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Han-Na Seo: Forest Bioinformation Division, National Institute of Forest Science, Suwon 16631, Republic of Korea
Jae-Hyun Park: Forest Bioinformation Division, National Institute of Forest Science, Suwon 16631, Republic of Korea
Hyo-In Lim: Forest Bioinformation Division, National Institute of Forest Science, Suwon 16631, Republic of Korea

Sustainability, 2023, vol. 15, issue 10, 1-13

Abstract: This study proposes a strategy for selecting materials for Abies nephrolepis , a key subalpine species, to restore damaged forests in Mt. Gariwangsan while considering genetic diversity. The genetic diversity distribution of A. nephrolepis in Korea was evaluated using nuclear simple-sequence repeat (nSSR) markers and the genetic differences between populations were analyzed. A suitable genetic restoration population was selected and a strategy for selecting restoration materials was presented. The genetic diversity indices of 326 individuals across 10 populations, and the genetic relationships between populations, were analyzed using AMOVA, principal coordinate analysis, UPGMA, and STRUCTURE analysis. The genetic diversity of A. nephrolepis populations averaged 0.791, indicating relatively high genetic diversity. The results showed that the genetic differentiation pattern of A. nephrolepis was divided into two groups: Mt. Jungwangsan and other populations. Therefore, genetically diverse restoration materials can be secured from the Mt. Gariwangsan population to restore damaged areas. We found that individuals distributed within approximately 10 m were autocorrelated due to their high genetic similarity, whereas they were randomly distributed in the range of 15 m or more. The optimal sampling strategy involved collecting seeds from a minimum of 25 individuals within 10 m. This study suggests that genetic diversity in restoration material selection is necessary to enhance adaptability to environmental changes.

Keywords: genetic resources; subalpine; Khingan fir; conservation strategies; spatial autocorrelation analysis (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
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