• Title/Summary/Keyword: Pinus densiflora Siebold & Zucc.

Search Result 24, Processing Time 0.039 seconds

Effects of Soil Covering Depth and Vegetation Base Materials on the Competition between Pinus densiflora Siebold & Zucc. and Lespedeza cyrtobotrya Miq. at Abandoned Coal Mine Land in Gangwon, Korea (강원도 석탄 폐광지 주변 폐석더미에서 복토와 식생기반재 처리가 소나무(Pinus densiflora Siebold & Zucc.)와 참싸리(Lespedeza cyrtobotrya Miq.)의 경쟁에 미치는 영향)

  • Yi, Koong;Lim, Joo-Hoon;Kim, Jeong-Hwan;Lee, Im-Kyun;Jeong, Yong-Ho
    • Journal of the Korean Society of Environmental Restoration Technology
    • /
    • v.16 no.1
    • /
    • pp.99-107
    • /
    • 2013
  • This study was conducted to evaluate the effect of soil covering depth and vegetation base materials on the competition between Pinus densiflora Siebold & Zucc. and Lespedeza cyrtobotrya Miq., which were grown in an abandoned coal mine land for three years after seeding, by comparing their growth and stem density. The study site was consisted of sub-plots with four different soil covering depths (0cm, 10cm, 20cm, and 30cm) and four different compounds of vegetation base materials (peat moss (control), soil conditioner+peat moss (S+P), erosion control material+peat moss (E+P), and soil conditioner+erosion control material+peat moss (S+E+P)). Results of this study showed opposite pattern between P. densiflora and L. cyrtobotrya with different soil covering depth and compounds of vegetation base materials in general. P. densiflora showed the highest growth and stem density in plots with 10cm and 0cm depths of soil covering, respectively, while the lowest was shown in plots with 20cm depth of soil covering. In contrast, L. cyrtobotrya showed the highest growth and stem density in plots with 20cm depth of soil covering, while the lowest was shown in plots with 0cm depth of soil covering. In case of vegetation base materials, P. densiflora showed the highest growth and stem density in control plots and plots treated with S+P, respectively, while the lowest was shown in plots with S+E+P treatment. On the other hand, L. cyrtobotrya showed the highest growth and stem density in plots treated with S+E+P, while the lowest was shown in control plots. These results suggested the competition between two plants as a major cause of opposite patterns, which is induced by the suppressed growth and stem density of P. densiflora by fast growing L. cyrtobotrya. Despite the suppression of L. cyrtobotrya on P. densiflora, L. cyrtobotrya can play a positive role in improving soil quality, and thus it would be more desirable for restoring abandoned coal mine land to manage the growth of L. cyrtobotrya periodically, rather than eliminate them.

Evaluation of the Feasibility of Deep Learning for Vegetation Monitoring (딥러닝 기반의 식생 모니터링 가능성 평가)

  • Kim, Dong-woo;Son, Seung-Woo
    • Journal of the Korean Society of Environmental Restoration Technology
    • /
    • v.26 no.6
    • /
    • pp.85-96
    • /
    • 2023
  • This study proposes a method for forest vegetation monitoring using high-resolution aerial imagery captured by unmanned aerial vehicles(UAV) and deep learning technology. The research site was selected in the forested area of Mountain Dogo, Asan City, Chungcheongnam-do, and the target species for monitoring included Pinus densiflora, Quercus mongolica, and Quercus acutissima. To classify vegetation species at the pixel level in UAV imagery based on characteristics such as leaf shape, size, and color, the study employed the semantic segmentation method using the prominent U-net deep learning model. The research results indicated that it was possible to visually distinguish Pinus densiflora Siebold & Zucc, Quercus mongolica Fisch. ex Ledeb, and Quercus acutissima Carruth in 135 aerial images captured by UAV. Out of these, 104 images were used as training data for the deep learning model, while 31 images were used for inference. The optimization of the deep learning model resulted in an overall average pixel accuracy of 92.60, with mIoU at 0.80 and FIoU at 0.82, demonstrating the successful construction of a reliable deep learning model. This study is significant as a pilot case for the application of UAV and deep learning to monitor and manage representative species among climate-vulnerable vegetation, including Pinus densiflora, Quercus mongolica, and Quercus acutissima. It is expected that in the future, UAV and deep learning models can be applied to a variety of vegetation species to better address forest management.

Diversity of Ectomycorrhizal Fungi of Pinus densiflora Siebold et Zucc. Seedlings in a Disturbed Forest on Mt. Songni

  • Sim, Mi-Yeong;Eom, Ahn-Heum
    • Journal of Ecology and Environment
    • /
    • v.32 no.1
    • /
    • pp.13-18
    • /
    • 2009
  • This study was conducted to investigate ectomycorrhizal (ECM) diversity on Pinus densiflora seedlings in a disturbed pine forest. Pine seedlings less than one year old were collected from disturbed and undisturbed sites in the Mt. Songni region. The belowground ECM fungal communities colonizing P. densiflora seedlings were studied using morphotyping and DNA sequencing. The relative abundance of ECM root tips was significantly higher in the undisturbed sites than in the disturbed sites, and the ECM species diversity was lower in the disturbed sites than in the undisturbed sites. In addition, the ECM community composition was significantly different in the disturbed and undisturbed forest sites.

Natural Regeneration in the Plantations of Pinus koraiensis and Larix kaempferi in Yangyang-Gun, South Korea

  • Park, YeongDae;Lee, DonKoo;Choi, SeonDeok;Kwon, SoonDuk
    • Journal of agriculture & life science
    • /
    • v.45 no.4
    • /
    • pp.47-58
    • /
    • 2011
  • The forest of Korea had been severely degraded since early 1900s until 1950s. Korean Government has successfully accomplished the reforestation works since 1960s. However, some plantations showed poor survival and growth caused by ignoring site characteristics in selecting plantation species and lack of tending works such as thinning. The natural regeneration of indigenous species, such as Quercus species and Pinus densiflora Siebold & Zucc., were examined in the plantations of Pinus koraiensis Siebold & Zucc. and Larix kaempferi Fortune ex Gordon. Quercus species regenerated mainly by sprouting while P. densiflora regenerated naturally from a few mother trees that remained in the plantations. P. koraiensis showed poor survival ($IVI{\leq}25%$) and suppressed growth (height ${\leq}3m$ and $DBH{\leq}3cm$ at 20 year-old) by Quercus species or P. densiflora in the plantation areas, however had high survival ($IVI{\geq}70%$) and growth (8 m height and 14.1 cm DBH at 20 year-old) in areas where silvicultural practices were conducted. L. kaempferi showed good survival ($IVI{\geq}40%$) and growth (17.2 m height and 16.3 cm DBH at 30 year-old) mostly in valley areas, while it was nearly dead ($IVI{\leq}10%$) in ridge or ridge-slope areas and was replaced by indigenous species such as Quercus species ($IVI{\geq}25{\sim}55%$) or P. densiflora ($IVI{\geq}18{\sim}50%$).

Antioxidant Activities of n-Butanol Fraction of Pinus densiflora Siebold & Zucc. Needle in Caenorhabditis elegans. (솔잎 부탄올 분획의 예쁜꼬마선충 내의 항산화 효과)

  • Kim, Jun Hyeong;Kim, Na Yeong;Kwon, Kang Mu;Hwang, In Hyun;Kim, Dae Keun
    • Korean Journal of Pharmacognosy
    • /
    • v.52 no.2
    • /
    • pp.105-111
    • /
    • 2021
  • To investigate the antioxidant activities of Pinus densiflora needle (Pinaceae), which is widely used as a traditional medicine in Korea, Caenorhabditis elegans model system was used. The n-butanol fraction of P. densiflora needle methanol extract showed the most potent DPPH radical scavenging and superoxide quenching activities in a dose-dependent manner. The n-butanol fraction was measured for the activities of superoxide dismutase (SOD), catalase, and oxidative stress tolerance by using C. elegans with reactive oxygen species (ROS) level. In addition, to see that the regulation of the stress response gene is responsible for the increased stress tolerance of C. elegans treated by the butanol extract, SOD-3 expression was measured using a transgenic strain. As a result, the P. densiflora needle n-butanol fraction increased SOD and catalase activities, and decreased ROS accumulation, dose-dependently. Furthermore, the n-butanol fraction-treated CF1553 worm showed higher SOD-3::GFP intensity than the control.

Native Tree Species of Tolerance to Saline Soil and Salt Spray Drift at the Coastal Forests in the West-Sea, Korea (한국 서해안의 내염성 및 내조성 자생수종)

  • Kim, Do-Gyun
    • Korean Journal of Environment and Ecology
    • /
    • v.24 no.2
    • /
    • pp.209-221
    • /
    • 2010
  • This study was carried out to apply basic data of the native trees for planting in the salinity area by the vegetation ecological selection. Which focused on native woody species to the tolerances of saline soil and salt spray drift on the coastal forests in the West-Sea, Korea. The soil salinity($EC_{1:5}$) was 0.11dS$m^{-1}$, ranging of 0.00dS$m^{-1}$~0.68dS$m^{-1}$. The soil salinity was gradually decreasing from Belt I to Belt Ⅳ except the Belt I in some coastal windbreaks. The order of decreasing soil salinity was Belt I>Belt II>Belt III>Belt Ⅳ and the soil salinity was $EC_{1:5}$ 0.14dS$m^{-1}$, 0.11dS$m^{-1}$, 0.10dS$m^{-1}$, and 0.08dS$m^{-1}$, respectively. The total 181 taxa consisted of 52 families, 104 genus, 157 species, and 24 varieties were recorded as the trees tolerating to both soil salinity and salt spray drift. The trees emerged in the highest degree of salinity($EC_{1:5}$ 0.51dS$m^{-1}$) was nothing but appearanced Pinus thunbergii Parl., Smilax china L., Quercus dentata Thunb. ex Murray, Quercus serrata Thunb. ex Murray and so on at the level of singular and ideal value. The emerged trees in the high salinity of $EC_{1:5}$0.41dS$m^{-1}$~0.50dS$m^{-1}$ were Albizia kalkora Prain, Melia azedarach L., Paederia scandens (Lour.) Merr. var. scandens These species were trees of tolerance to saline soil. The emerged woody species in all belts were Pinus rigida Mill., Pinus densiflora Siebold & Zucc., Pinus thunbergii Parl., Juniperus rigida Siebold & Zucc. and so on. The woody species with high important value(I.V.) were Pinus densiflora Siebold & Zucc., Pinus thunbergii Parl., Pseudosasa japonica (Siebold & Zucc. ex Steud.) Makino, Smilax china L., Platycarya strobilacea Siebold & Zucc. var. strobilacea for. strobilacea and so on, which can be classified as highly tolerant native trees to salt spray drift.

An AFLP-based Linkage Map of Japanese Red Pine (Pinus densiflora) Using Haploid DNA Samples of Megagametophytes from a Single Maternal Tree

  • Kim, Yong-Yul;Choi, Hyung-Soon;Kang, Bum-Yong
    • Molecules and Cells
    • /
    • v.20 no.2
    • /
    • pp.201-209
    • /
    • 2005
  • We have constructed an AFLP-based linkage map of Japanese red pine (Pinus densiflora Siebold et Zucc.) using haploid DNA samples of 96 megagametophytes from a single maternal tree, selection clone Kyungbuk 4. Twenty-eight primer pairs generated a total of 5,780 AFLP fragments. Five hundreds and thirteen fragments were verified as genetic markers with two alleles by their Mendelian segregation. At the linkage criteria LOD 4.0 and maximum recombination fraction 0.25(${\theta}$), a total of 152 markers constituted 25 framework maps for 19 major linkage groups. The maps spanned a total length of 2,341 cM with an average framework marker spacing of 18.4 cM. The estimated genome size was 2,662 cM. With an assumption of equal marker density, 82.2% of the estimated genome would be within 10 cM of one of the 230 linked markers, and 68.1% would be within 10 cM of one of the 152 framework markers. We evaluated map completeness in terms of LOD value, marker density, genome length, and map coverage. The resulting map will provide crucial information for future genomic studies of the Japanese red pine, in particular for QTL mapping of economically important breeding target traits.

The Effects of CO2 Enrichment on the Radial Growth of Pinus densiflora

  • En-Bi CHOI;Hyemin LIM;Jeong-Wook SEO
    • Journal of the Korean Wood Science and Technology
    • /
    • v.52 no.3
    • /
    • pp.289-299
    • /
    • 2024
  • The current study aimed to investigate the impact of CO2 enrichment on the width of annual tree rings, earlywood and latewood, and the area of annual growth of Pinus densiflora Siebold & Zucc. grown in open-top chamber (OTC). To this end, two CO2 enrichment cases were considered, namely 1.4 × increment (560 ppm in OTC-II) and 1.8 × (720 ppm in OTC-III) were compared with the current atmosphere (400 ppm in OTC-I). The CO2 enrichment conditions for a period of 12 years (2010-2021) were considered, and all measurements were done through image analysis. The study showed that the increment in CO2 concentrations positively affected the tree growth. The measurement data from the trees in OTC-III were considerably higher than those from OTC-I, whereas those from OTC-II were slightly higher than those from OTC-I. Decreasing patterns of the measured widths and area in 6-7 years after the beginning of CO2 enrichment was found for all the OTCs. These patterns were possibly due to changes in the physiological features, such as aging. The findings of the present study can have potential uses as fundamental data for forest management considering CO2 concentrations.

Comparing Field Resistance with Pine Wilt Disease Among Six Pine Species at Seedling Stages (소나무속 6수종 묘목의 소나무재선충병에 대한 포지 저항성 비교)

  • Yang-Gil Kim;Dayoung Lee;Sunjeong Kim;Su-Vi Kim;Bae Young Choi;Donghwan Shim;Youn-Il Park;Kyu-Suk Kang
    • Journal of Korean Society of Forest Science
    • /
    • v.112 no.2
    • /
    • pp.258-266
    • /
    • 2023
  • Pine wilt disease is caused by the pine wood nematode (Bursaphelenchus xylophilus) and has killed many pine trees in Europe and Northeast Asia, including South Korea. Resistance to pine wilt disease varies among species. Previous studies were mostly conducted in nature or greenhouses and only a few in test fields. In this study, seedlings of six pine species (Pinus thunbergii, P. koraiensis, P. densiflora, P. parviflora, P. rigida × P. taeda, and P. strobus) were artificially inoculated by pine wood nematodes in the test field. The Wilt Index was measured every 2 weeks after inoculation in addition to the mortality rate, detection rate, and pine wood nematode concentration measurement after 24 weeks. The pine wilt disease mortality rates were P. thunbergii (80%), P. koraiensis (77.8%), P. densiflora (62.5%), and P. parviflora (22.0%), and both P. rigida × P. taeda and P. strobus survived. The pine nematode detection rates were the same among the species except for P. rigida × P. taeda pine (22.2%). High Wilt-Index values were obtained for P. thunbergii, P. koraiensis, and P. densiflora, which had mortality rates higher than the other species. Furthermore, there were no significant differences in the Wilt Indexes between P. parviflora, P. rigida × P. taeda, P. strobus, and the control group. Statistically, P. thunbergii and P. koraiensis showed high susceptibility to pine wilt disease, P. densiflora and P. parviflora showed moderate susceptibility, and P. rigida × P. taeda and P. strobus showed apparent resistance. These results provide basic data for pine wood nematode resistance breeding or as evidence of the need for afforestation of P. rigida × P. taeda and P. strobus.