Selection of Restoration Materials Based on Genetic Diversity and Structure of the Endangered Subalpine Conifer Taxus cuspidata, South Korea

Taxus cuspidata is a threatened subalpine conifer in South Korea, necessitating evidence-based restoration strategies to counter the impacts of climate change. In this study, we assessed 13 natural populations using 15 polymorphic nuclear simple sequence repeat (nSSR) markers developed in Taxus species and spatial autocorrelation analysis to provide a scientific foundation for conservation. The results showed an intermediate level of genetic diversity, with the Mt. Gariwangsan population exhibiting higher diversity. This highlights its priority as a source for restoration materials. Bayesian clustering supported four distinct management units. Spatial autocorrelation analysis revealed significant positive genetic structure within approximately 50 m, indicating a localized genetic patch size. Based on these results, we suggest maintaining a minimum 50 m sampling distance during seed collection to avoid collecting closely related individuals and to reduce the risk of genetic homogeneity in restoration materials. Such restoration strategies informed by spatial genetic structure and broader genetic data are critical for enhancing the long-term resilience of T. cuspidata in the face of accelerating environmental shifts.

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Journal
Forests
Published
2026-02-23
DOI
https://doi.org/10.3390/f17020285
Primary Topic
Genetic diversity and population structure
Type
article
Field-Weighted Citation Impact
0.00

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article

Selection of Restoration Materials Based on Genetic Diversity and Structure of the Endangered Subalpine Conifer Taxus cuspidata, South Korea

Han-Na Seo, Hyo-In Lim, Ji-Young Ahn, Jae-Hyun Park
Forests
Genetic diversity and population structure
article

Selection of Restoration Materials Based on Genetic Diversity and Structure of the Endangered Subalpine Conifer Taxus cuspidata, South Korea

Han-Na Seo, Hyo-In Lim, Ji-Young Ahn, Jae-Hyun Park
article en

Abstract

Taxus cuspidata is a threatened subalpine conifer in South Korea, necessitating evidence-based restoration strategies to counter the impacts of climate change. In this study, we assessed 13 natural populations using 15 polymorphic nuclear simple sequence repeat (nSSR) markers developed in Taxus species and spatial autocorrelation analysis to provide a scientific foundation for conservation. The results showed an intermediate level of genetic diversity, with the Mt. Gariwangsan population exhibiting higher diversity. This highlights its priority as a source for restoration materials. Bayesian clustering supported four distinct management units. Spatial autocorrelation analysis revealed significant positive genetic structure within approximately 50 m, indicating a localized genetic patch size. Based on these results, we suggest maintaining a minimum 50 m sampling distance during seed collection to avoid collecting closely related individuals and to reduce the risk of genetic homogeneity in restoration materials. Such restoration strategies informed by spatial genetic structure and broader genetic data are critical for enhancing the long-term resilience of T. cuspidata in the face of accelerating environmental shifts.

ForestsVol. 17(2)
Institute of Forest Science (RU)
National Institute of Forest Science
Life in Land
Openalex Percentile: Top 45%
Genetic diversity and population structure
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