• Journal of Korean Society of Forest Science
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• v.100 no.3
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• pp.392-396
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• 2011

The purpose of this study was to develop the basic wood density (Abbreviated BWD) for Pinus densiflora and to evaluate the applicability of bootstrap simulation method. The data sets were divided into two groups based on eco-types in Korea, one from Gangwon type and the other from Jungbu type. The estimated BWDs derived from bootstrap simulation, which is one of the non-parametric statistics, were 0.418 ($g/cm^3$) in the Pinus densiflora in Gangwon while 0.464 ($g/cm^3$) in the Pinus densiflora in Jungbu. To evaluate the bootstrap simulation, the mean BWD, standard error and 95% confidence interval of probability density were estimated. The number of replication were 100, 500, 1,000, and 5,000 times that showed constant 95% confidence interval, while tended to decrease in terms of standard errors. The results of this study could be very useful to apply basic wood density values to calculate reliable carbon stocks for Pinus densiflora in Korea.

• Journal of Forest and Environmental Science
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• v.37 no.4
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• pp.309-314
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• 2021

This study aimed to enhance seed productivity and secure genetic resources for Pinus densiflora for. multicaulis. We analyzed the characteristics of cone and seed generated by control pollination between Pinus densiflora (PD) and Pinus densiflora for. multicaulis (PDM). The highest number of cone scales (63.0) was obtained from the self-pollinated (sp) PDM clone B (PDM-sp-B), whereas the lowest number of cone scales (44.7) was obtained from two combinations designated as PDM-A×PD-075 and PDM-A×PD-0111. Both female parents of the hybrids were PDM-A. The highest seed production capacity (80.8) was obtained from the open-pollinated (op) PDM clone B (PDM-op-B). The seed potentials of PDM-B×PD-0111, PDM-op-A, and PDM-sp-B were 67.4, 66.5, and 63.1, respectively. The highest number of fertile scales (41.5) was obtained from PDM-op-B, and the lowest number of fertile scales (28.8) was obtained from PDM-A×PD-075. The total number of aborted ovules and 1st aborted ovules was not statistically significant in the mating design. The cross combination of PDM-B×PD-0111 had the highest number (34.8) of filled seeds and the lowest number of 2nd aborted ovules (5.2) and empty seeds (9). PDM-op-B had the highest number of developed seeds (47.6), although the number of empty seeds was the highest (41.2). Therefore, we conclude that the mating design of PDM-B×PD-0111 is useful for future breeding programs to improve seed yield of PDM. Our results showed that there was a strong correlation between the following two parameter pairs: number of scales and number of fertile scales, and the number of fertility scales and seeds potential (r=0.89 and r=0.84, respectively; both p<0.01).

• Korean Journal of Environment and Ecology
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• v.26 no.4
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• pp.559-575
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• 2012

This study, targeting Namhan Mountain Fortress which was designated as a No. 57 national historic site and placed on the World Heritage Tentative List in 2010, was intended to identify the change of vegetation structures by reviewing past references, pictures, research data and additionally conducting a site survey. Also, it was designed to draw up measures for restoring vegetation suitable for historically and culturally valuable Namhan Mountain Fortress. According to the biotope mapping of study site, Quercus spp. forest distributed a greatest part of area with 40.8% of $2,611,823m^2$. Pinus densiflora forest, highly likely to go through ecological succession, was dispersed in the whole region of Cheongryangsan, the area from West Gate to North Gate and the ranges between South Gate to Cheongryangsan with taking 16.5%. Pinus densiflora forest with a low probability of succession amounted to 4.7% and was dispersed mainly in the forest behind Namhansan elementary school. Pinus densiflora going on the ecological succession is distributed a portion of 2.9%. And the currently dying out Pinus densiflora forest amounted to 2.1%. As a result of analysis of the vegetation structure for 19 years, the succession from Pinus densiflora forest to Pinus densiflora and succession from Quercus spp. mixed forest to Quercus spp. forest to Carpinus laxiflora forest were predicted. Additionally, Quercus spp. expanded its dominance over time. According to the characteristics of each classified zone, the site was categorized into $553,508m^2$ area of Pinus densiflora forest area for the landscape maintenance, $114,293m^2$ area of Pinus densiflora forest area for the landscape restoration, $205,306m^2$ area of Pinus densiflora forest area for the disclimax, and $1,169,973m^2$ area of Pinus densiflora forest area for inducing ecological succession.

• Journal of Korean Society of Forest Science
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• v.84 no.2
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• pp.266-274
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• 1995

Vegetational data from 62 quadrats of Pinus densiflora for. erecta and Chunyang-type of Pines densiflora forests were analyzed by using two multivariate methods : TWo-way INdicator Species ANalysis(TWINSPAN) for classification and Detrended Canonical Correspondence Analysis(DCCA) for ordination. The dominant tree species of Pinus densiflora for. erecta communities were found in the order of Pines densiflora for. erecta, Quercus mongolica, Quercus variabilis, Lindera obtusiloba, Fraxinus rhynchophylla, and Rhus trichocapa. The dominant tree species of Chunyang -type of Pinus densiflora communities were Quercue variabilis. Quercue mongolica, Fraxiraus sieboldiana, Styrax obassia, and Quercus serrata. The forest vegetation of Pinus densiflora was classified into Quercars variabilis-Styrax obassia. Quercus variabilis Quercus variabilis-Quercus mongolica, and Quercue mongolica communities according to TWINSPAN. Pinus densiflora for. erecta community was distributed in the good nutrition area of total nitrogen. organic matter, $K^+$, $Ca^{{+}+}$, $Mg^{{+}+}$, and canon exchange capacity, while Chunyang type of Pinus densiflora community in the good nutrition area of $P_2O_5$. The relationship between the distribution of dominant communities for forest vegetation and soil condition in Pinus densiflora communities was investigated by analysing the elevation and soil nutrition gradients. Quercus mongolica community was distributed in the high elevation and good nutrition area of total nitrogen, organic matter, and ration exchange capacity, while Quercus variabilis community was distributed in the low elevation and poor nutrition area of total nitrogen, organic matter, and ration exchange capacity. Quercus variabilis Styrax obassia and Quercus variabilis-Quercus mongolica community was distributed en the medium elevation and medium nutrition area.

• Journal of Korean Society of Forest Science
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• v.99 no.6
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• pp.929-933
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• 2010

According to the IPCC guideline (2006), uncertainty assessment is very important in terms of the greenhouse gas inventory. Therefore, the purpose of this study is to estimate the basic wood density (BWD) and its uncertainty for Pinus densiflora in Korea. In this study, Pinus densiflora forests were divided into two ecotypes which were Gangwon and Jungbu regions. A total of 33 representative sampling plots was selected to collect sample trees after considering the tree ages and DBH distributions. The BWD showed statistically no difference between age classes based on IPCC's classification. While, it showed statistically difference(pvalue=0.0017) between eco-types. The BWD and uncertainty was 0.396(g/$cm^3$) and 12.9(%) for Pinus densiflora in Gangwon, while it was 0.470(g/$cm^3$) and 3.8(%) for Pinus densiflora in Jungbu. The values of the BWD uncertainty for Pinus densiflora were more precised than the values given by the IPCC guideline.

• Journal of Ecology and Environment
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• v.33 no.4
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• pp.343-349
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• 2010

In Korea, man-caused forest fires are known originate primarily in coniferous forests. We have hypothesized that the vulnerability of Pinus densiflora forests is principally a consequence of the ignition characteristics of the species. To assess this hypothesis, we conducted two combustion experiments using fallen leaves with a reference species, Quercus variabilis. In the first experiments, in which a cigarette was employed as a primary heat source for the initiation of a forest fire, the Pinus leaves caught fire significantly faster (1'1" at Pinus, 1'31" at Quercus, P < 0.001), and ignition proceeded normally. Quercus leaves, on the other hand, caught fire but did not ignite successfully. In the second set of experiments utilizing different moisture contents and fuel loads, the maximum flame temperature of the Pinus leaves was significantly higher ($421^{\circ}C$ at Pinus, $361^{\circ}C$ at Quercus, P < 0.001) and the combustion persisted for longer than in the Quercus leaves (8'8" at Pinus, 3'38" at Quercus, P < 0.001). The moisture contents of the leaves appeared to be a more important factor in the maximum temperature achieved, whereas the most important factor in burning time was the amount of fuel. Overall, these results support the assumption that Pinus leaves can be ignited even by low-heat sources such as cigarettes. Additionally, once ignited, Pinus leaves burn at a relatively high flame temperature and burn for a prolonged period, thus raising the possibility of frequent fire occurrences and spread into crown fires in forests of P. densiflora.

• Applied Chemistry for Engineering
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• v.32 no.2
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• pp.132-138
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• 2021

This review investigated the types of physiologically active substances isolated and extracted from Pinus densiflora and koraiensis native to Republic of Korea, and the current status of research on their effectiveness and industrial use. They contain various bioactive substances including essential oils, polyphenols, resins, and stilbene derivatives. In recent, physiological activities such as antioxidant, anti-inflammatory, antibacterial, cataract prevention, and neuroprotection from extracts of Pinus densiflora and koraiensis have been identified by domestic researchers. The extracts have been used in different industrial fields like food, health functional foods, cosmetics, and household goods, but the high proportion of them is industrially made from exotic species. Therefore, various studies on industrial applicability are needed due to the lack of cases in which the activity is applied to actual products, with respect to the effects that have been scientifically recognized.

• Journal of the Korean Institute of Landscape Architecture
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• v.21 no.1
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• pp.125-137
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• 1993

Ansan urban nature park is 197.8ha and located in Seodeamun-Gu of Seoul. Flora of Ansan consisted of 141 species, 76 genera, 40 families in woody plants. This study was conducted to analyze the natural environment and establish the park management plan with ecological approach. The result of this study is summarized as follows. 1. The short term plan shall be performed in six vegetation management zones; Robinia pseudoacacia community zone, Sorbus alnifolia community zone, Quercus acutissima community zone, Populus ${\times}$albagrandulosa community zone, Pinus densiflora community zone, and landscape planting zone. Pinus densiflora and landscape planting zones shall be managed artificially, the others managed with ecological approach. 2. The long term plan shall be performed in four vegetation management zones; Robinia pseudoacacia community zone, Quercus spp. community zone, Pinus densiflora community zone, and landscape planting zone. Pinus densiflora and landscape planting zones shall be managed artificially, the others managed with ecological approach. 3. Because soil of Ansan is acidified and the soil disturbed growth of plants, the improvement of soil is necessary. The fertilization shall be performed in three zones; evergreen confierous tree zone(ex. P. densiflora), Quercus spp. zone, and the other deciduous tree zone(ex. R. pseudoacacia).

• Journal of Environmental Science International
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• v.21 no.1
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• pp.41-47
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• 2012

This study was carried out to investigate the distribution and their change of Pinus densiflora forests by climate change in Mt. Hallasan. The results showed that the areas of P. densiflora forests of Mt. Hallasan varied by region, with a total area of 1,324.3 ha, concentrated mostly in the region 1,000 m - 1,400 m above sea level. The temperate coniferous forest zone are distributed in the upper part of temperate forest zone composed of deciduous broad-leaved trees. Most of the P. densiflora forests in the lower parts were found not to be spreading because they are located close to the deciduous broad-leaved trees. However, the P. densiflora forests in the Sajebi and Pyeonggwe regions composed of the grasslands and shrub forests were found to be spreading. In addition, the altitude of the P. densiflora forests distribution increased by about 50 m and 90 m in the Sajebi and Pyeonggwe regions, respectively. The spread rate is expected to become faster than in the past due to the rate of climate change. The structure of the vegetation in Mt. Hallasan and the changes in the vegetation due to various factors need to be investigated from a long-term point of view.

• Journal of the Korean Society of Food Science and Nutrition
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• v.28 no.5
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• pp.973-979
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• 1999

Volatile compounds from twigs, needles and sprouts in Pinus densiflora were extracted with n hexane, diethyl ether or ethanol for 24 hours, and the extracted compounds were separated and identified by gas chromatography and mass selective detector. The kinds and amount of volatile compounds extracted from three parts of Pinus densiflora were different in solvent extraction and the extraction by the modified Liken Nickerson apparatus. The contents of volatile compounds of twigs contained more than those of needles and sprouts, and the volatile compounds were extracted more in n hexane than the others. In the extraction with hexane, the main volatile compounds of twigs were 18.5% pinene, 14.5% limonene, 12.7% pinene and 3.2% myrcene. Sprouts were 16.8% limonene, 4.4% pinene, 4.3% pinene and 1.7% myrcene. Needles contained 14.7% pinene, 5.4% pinene, 2.2% limonene and 0.8% myrcene. The highest yield for pine aroma was shown in the extraction from pine twigs with n hexane, and in this extraction the amounts of pinene, pinene and limonene were 742 g, 1108 g and 922 g per gram sample, respectively.