• Journal of Korean Society of Forest Science
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• v.80 no.4
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• pp.360-368
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• 1991

Utilizing chi-square test statistics, inter-species association and covariation were analyzed for the 37 woody plant species in a deciduous forest dominated by Quercus mongolica and Q. variabilis. within 50 temporarily established $20m{\times}20m$ square quadrats, the association for each pair of species was presented based on the presence-absence parameters. Acer palmatum had significant positive association with Acer mono and Kalopanax pictus, but negative association with Pinus densiflora. Other positively associated species pairs were Prunus sargentii-Macckia amurensis, Quercus serrata-Kalopanax pictus, Symplocos chinensis var. pilosa-Euonymus oxyphyllus, and Ulmus davidiana var. japonica-Lindera obtusiloba. The covariation far each pair of species was evaluated based on the quantitative measures, density and basal area. Overall results showed that the association and covariation values among species generally agreed with each other. Because covariation was calculated by density and basal area of the tallied species in the sample plots, the number of species pairs of covariation tended to be greater than those of association. Especially, Pinus densiflora, considered to be pioneer species in the successional stage, had negative covariation with most of climax species. These ecological information could be applied to silvicultural practices, such as ecosystem classification, establishment of mixed hardwood forest, and tending operations for marking crop trees and desirable species.

• Journal of Environmental Impact Assessment
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• v.27 no.2
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• pp.124-138
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• 2018

This research was conducted to examine the availability of spatial data for assessing absorption rates of $CO_2$ in the forest of Ansan-si and evaluate the validity of methods that analyze $CO_2$ absorption. To statistically assess the $CO_2$ absorption rates per year, the 1:5,000 Digital Forest-Map (Lim5000) and Standard Carbon Removal of Major Forest Species (SCRMF) methods were employed. Furthermore, Land Cover Map (LCM) was also used to verify $CO_2$ absorption rate availability per year. Great variations in $CO_2$ absorption rates occurred before and after the year 2010. This was due to improvement in precision and accuracy of the Forest Basic Statistics (FBS) in 2010, which resulted in rapid increase in growing stock. Thus, calibration of data prior to 2010 is necessary, based on recent FBS standards. Previous studies that employed Lim5000 and FBS (2015, 2010) did not take into account the $CO_2$ absorption rates of different tree species, and the combination of SCRMF and Lim5000 resulted in $CO_2$ absorption of 42,369 ton. In contrast to the combination of SCRMF and Lim5000, LCM and SCRMF resulted in $CO_2$ absorption of 40,696 ton. Homoscedasticity tests for Lim5000 and LCM resulted in p-value <0.01, with a difference in $CO_2$ absorption of 1,673 ton. Given that $CO_2$ absorption in forests is an important factor that reduces greenhouse gas emissions, the findings of this study should provide fundamental information for supporting a wide range of decision-making processes for land use and management.

• Journal of Korean Society of Forest Science
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• v.86 no.2
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• pp.208-213
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• 1997

Tree form characteristics and biomass distribution and volume increment for Quercus spp., Larix leptolepis and Pinus koraiensis growing in Kwangju-Gun, Kyunggi-Do were investigated. P. koraiensis showed higher crown percentage than L. leptolepis, indicating that P. koraiensis maybe shade-tolerant species. Biomass allocation by tree height showed significant difference among three species. Stem biomass distributed more dimminishing along tree height with Quercus spp. and P. koraiensis than L. leptolepis. The allometric pattern of leaf-and branch biomass appeared as normal distribution. Present biomass was highest in L. leptolepis showing 171.1tons/ha and followed by P. koraiensis and Quercus spp, with 75.3tons/ha and 61.6tons/ha, respectively.

• Journal of the Korean Wood Science and Technology
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• v.32 no.5
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• pp.20-28
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• 2004

26 wooden relics excavated in Jedeok bay, Jinhae, Gyeongsangnam-do, Korea were identified. Wood species identified were consisted of 7 softwoods and 19 hardwoods. Softwoods identified were hard pines (Pinus spp.), while 19 hardwoods were consisted of 15 Lepidobalanus (Quercus spp.), 1 Cyclobalanopsis (Quercus spp.), 1 Meliosma oldhami Miq., 1 Platycarya strobilacea S. et Z., and 1 Carpinus spp., respectively. The wooden fences were composed of a variety of wood species such as hard pines (Pinus spp.), Lepidobalanus (Quercus spp.), Meliosma oldhami Miq. and Carpinus spp. Wooden members of ship were consisted of Lepidobalanus (Quercus spp.), and parts of ship body were hard pines(Pinus spp.). The other relics that uses were unknown were hard pines (Pinus spp.), Lepidobalanus (Quercus spp,), Cyclobalanopsis (Quercus spp.), and Platycarya strobilacea S. et Z.

• Proceedings of the Korea Institute of Fire Science and Engineering Conference
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• 2013.11a
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• pp.106-106
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• 2013

산불은 소중한 산림을 파괴 시키고 자연생태에 막대한 영향을 미치기도 하지만 인근 주택가에 이차적인 피해를 주기도 한다. 도시팽창으로 인해 산과 주택의 거리가 가까워지고 있는 상황과 사람들의 부주의로 인한 잦은 산불로 인해 그 피해는 더욱 심각해지고 있다. 그러나 산림 인근에 있는 주택들은 대부분 농가에 노인들이 거주하고 있기 때문에 화재에 대해 대비책이 필요한 상황이다. 산불로 인한 인근 주택화재피해의 원인을 조사해보면 대 부분 산림과 주택의 거리가 좁아 불길로 인한 직접적인 피해와 비화로 인한 피해로 압축되고 있다. 이러한 피해를 예방하기 위해서는 우선 입산자와 산림인근 거주자에 대한 적극적인 산불방지 홍보가 우선시 되어야 할 것이며 이차적으로 주거지역과 산림과의 적적한 이격거리 확보와 인접되는 나무의 수종을 인화성이 약한 활엽수로 대체하는 등의 예방을 우선시 하여야겠다. 산불은 대부분 실화로 인해 발생하는 경우가 대부분이지만 대상이 불분명하고 실화자를 찾더라도 그 피해액을 산정하여 보상을 청구하기에는 사실상 불가능하다. 이에 정부 및 지자체에는 산불로 인한 인근 주거지에 대해 보험 및 예비비를 통하여 만약의 경우를 대비하여 대비책을 마련해 놔야 할 것이다.

• Proceedings of The Korean Society of Agricultural and Forest Meteorology Conference
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• 2019.08a
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• pp.232-233
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• 2019

• Journal of Forest and Environmental Science
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• v.27 no.2
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• pp.119-125
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• 2011

Heating value is the one of most important factor in energy use of the woods. This study was investigated for determining the heating value according to the moisture content level(%) of major broad-leaved tree in Korea. Heating value was decreased rapidly regardless the kinds of species (Liriodendron tulipifera, Alnus japonica, and Quercus mongolica) and parts of woods (wood part, and bark) as the moisture content (MC) was increased. In addition, bark had higher heating value than wood part. Liriodendron tulipifera showed the highest heating value among the other two species.

• Journal of agriculture & life science
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• v.51 no.1
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• pp.57-67
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• 2017

We conducted this study to investigate vegetation structure and soil conditions of six Viburnum erosum Thunb.(V. erosum) populations which showed high dominance. A total of 68 woody plants were observed to distribute: 13 in tree layer; 38 in subtree layer; and 48 in shrub layer. Based on the Mean Importance Value(MIV), the dominant tree species in the V. erosum populations were as follows in order of: Acer pseudosieboldianum(Pax) Kom., Callicarpa japonica Thunb., Indigofera kirilowii Maxim. ex Palib., Lindera obtusiloba Blume, Prunus sargentii Rehder, Quercus variabilis Blume, Rhododendron mucronulatum Turcz. and Vaccinium oldhamii Miq. In paticular, the species observed in all of the study sites were Quercus serrata Murray and Styrax japonicus Siebold & Zucc. It was found that the presence of V. erosum was positively correlated with that of Albizia julibrissin Durazz. and Symplocos chinensis f. pilosa (Nakai) Ohwi, while negatively correlated with that of Platycarya strobilacea Siebold & Zucc. According to the result, means of species diversity(H'), maxim species diversity(H' max), evenness(J') and dominance(1-J') were measured at 0.887, 1.102, 0.803, and 0.196, respectively. The soil conditions properties of pH value, organic matter content, total nitrogen content, and the amount of available phosphorous indices in the study sites were 4.3, 10.6%, 0.34% and $0.68mg{\cdot}kg^{-1}$, respectively. Meanwhile, the total amount of exchangeable cations of $Ca^{2+}$, $K^+$, and $Mg^{2+}$ were $16.84cmol_c{\cdot}kg^{-1}$, $6.41cmol_c{\cdot}kg^{-1}$, and $4.26cmol_c{\cdot}kg^{-1}$, respectively. Overall, Viburnum erosum Thunb. populations tend to grow in the strongly acid soil, which has great abundance of soil organic matters, a lot of exchangeable cations, and has higher amount available phosphorous than that of nitrogen.

• Journal of Korean Society of Forest Science
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• v.90 no.4
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• pp.437-444
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• 2001

This paper discusses applications of neural network to forest stand field data processing and determining suitable tree species for site-specific stand characteristics. For site-specific species selection, considered were 5 major coniferous species : P. densiflora for. erecta, L. leptolepis, P. koraiensis, P. densiflora, P. thunbergii. Among 1,320 sample plot data sets, 200 data sets with the highest site index (40 data sets for each species) were chosen as the test sets for investigation. Each data set includes 13 factors describing the site characteristics of the corresponding sample plot. The results of this investigation indicate high performance of neural network in data processing procedures for extracting data sets or measurement parameters without any recognizable pattern. These data sets or measurement parameters are those which have rare effect on site-specific species suitability or disturb pattern classification procedures of neural network because of unrecognizable patterns involved. Also the results have shown high potential of neural network in determining the best-suitable tree species for site characteristics. The % accuracy of the neural network model in determining the best-suitable tree species for site characteristics ranges from 77.6% to 91.8% associated with the combination of Site factors.

• Spatial Information Research
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• v.20 no.3
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• pp.27-38
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• 2012

As the necessity of forest conservation and management has been increased, various forest studies using LIDAR data have been actively performed. These studies often utilize the tree height as an important parameter to measure the forest quantitatively. This study thus attempt to apply two representative methods to estimate tree height from airborne LIDAR data and compare the results. The first method based on the detection of the individual trees using a local maximum filter estimates the number of trees, the position and heights of the individual trees, and the mean tree height. The other method estimates the maximum and mean tree height, and the crown mean height for each grid cell or the entire area from the canopy height model (CHM) and height histogram. In comparison with the field measurements, 76.6% of the individual trees are detected correctly; and the estimated heights of all trees and only conifer trees show the RMSE of 1.91m and 0.75m, respectively. The tree mean heights estimated from CHM retain about 1~2m RMSE, and the histogram method underestimates the tree mean height with about 0.6m. For more accurate derivation of diverse forest information, we should select and integrate the complimentary methods appropriate to the tree types and estimation parameters.