• Journal of the Korean Wood Science and Technology
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• 제45권1호
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• pp.85-95
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• 2017

본 연구는 연륜연대학적 방법을 이용하여 노거수 수령의 정확한 추정을 위해 수행되었다. 연구지역은 충청북도 괴산군(CBGS), 전라남도 구례군(JNGR), 경상북도 울진군(GBUJ)이며, 수종은 각 지역의 보호수로 지정된 느티나무와 소나무로 하였다. CBGS, JNGR, GBUJ에서 채취한 느티나무는 각각 12, 8, 6본이며, 소나무는 각각 10, 3, 9본이다. 시료(생장편)는 생장추(직경 5.2 mm)를 이용하여 채취하였다. 정확한 연륜측정을 위해 느티나무는 활주식 마이크로톰으로 횡단면을 절삭하였으며, 소나무는 사포를 이용하여 횡단면을 연마하였다. 연륜폭은 이용하여 0.01 mm 정확도로 측정하였다. 느티나무의 경우 CBGS와 GBUJ에서 203 (1813~2015)년의 연륜연대기가 작성되었으며, JNGR에서는 175 (1841~2015)년의 연륜연대기가 성공적으로 작성되었다. 소나무의 경우 CBGS, JNGR, GBUJ에서 각각 154(1862~2015)년, 175 (1841~2015)년, 250 (1776~2015)년의 연륜연대기가 성공적으로 작성되었다. 느티나무와 소나무의 지역별 대표연륜연대기를 상호 비교한 결과 대부분 낮은 t 값과 Glk 값을 보여 대표연륜연대기 상호간 일치도가 낮은 것으로 확인되었다. 최근 50년 평균 기온과 강수량 분포도를 지역별 대표연륜연대기와 비교한 결과, 지역별 대표 연륜연대기 패턴은 온도보다 강수량에 의해 결정되는 것이 확인되었다. 따라서 향후 연륜연대학적 방법을 이용한 정확한 수령추정을 위해선 강수량이 고려된 지역별 대표연륜연대기가 준비되어야 할 것이다.

• Journal of Forest and Environmental Science
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• 제35권3호
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• pp.150-158
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• 2019

Exotic conifer trees have been extensively planted in southern China because of their high apparent growth and yield. These fast-growing plantations are expected to persist as a considerable potential for temporary and long-term carbon sink to offset greenhouse gas emissions. However, information on the carbon storage across different age ranges in exotic pine plantations is often lacking. We first estimated the ecosystem carbon storage across different age ranges of exotic pine plantations in China by quantifying above- and below-ground ecosystem carbon pools. The carbon storage of each tree component of exotic pine (Pinus elliottii) increased significantly with increasing age in Duchang and Yiyang areas. The stem carbon storage except <10 years in Ji'an areas was the largest component among all other components, which accounts for about 50% of the total carbon storage followed by roots (~28%), branches (~18%), and foliage (~9%). The mean total tree carbon storage of slash pine plantations for <10, 10-20 and 20-30 years across three study areas was 3.69, 13.91 and $20.57Mg\;ha^{-1}$, respectively. The carbon stocks in understory and forest floor were age-independent. Total tree and soil were two dominant carbon pools in slash pine plantations at all age sequences. The carbon contribution of aboveground ecosystem increased with increasing age, while that of belowground ecosystem declined. The mean total ecosystem carbon storage of slash pine plantations for <10, 10-20 and 20-30 years across China was 30.26, 98.66 and $98.89Mg\;ha^{-1}$, respectively. Although subtropical climate in China was suitable for slash pine growth, the mean total carbon stocks in slash pine plantations at all age sequences from China were lower than that values reported in American slash pine plantations.

• The Korean Journal of Ecology
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• 제26권1호
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• pp.34-38
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• 2003

본고에서는 1993년 지정 해제된 천연기념물 제4호인 통의동 백송의 나이(당시 630살로 추정)와 직경 생장 유형을 분석하였다. 그 결과 이 나무의 나이는 1993년 당시 약 300살로 추정되는데, 원래 추정한 나이는 매우 과대 추정한 나이라고 할 수 있다. 이 나무는 주변의 토양수분 상태에 따라서 그 생육의 정도가 상당히 크게 영향을 받아왔다. 특히 1910년부터 약 30년동안 저하된 생장이 지속되었기 때문에 이 나무의 수세는 매우 쇠약해졌고, 이러한 지속적인 생장의 저하가 궁극적으로 이 수목이 죽게 되는데 가장 중요한 원인이 되었던 것으로 판단된다. 이러한 지속적인 생장의 저하가 1910년부터 4년간 지속된 서울지방의 가뭄에 의해서 초래된 것인지는 분명하지는 않으나, 이러한 가뭄도 수목 생장의 쇠퇴를 초래한 여러 가지 환경요인중의 하나가 된다는 것은 그리 어렵지 않게 추정할 수 있다. 이 연구를 통해서 우리나라 천연기념물로 지정된 나이가 오래된 나무인 노거수를 잘 관리해야 할 문화 재청이 고려를 해야할 관리상의 문제점에 대한 사항을 고찰하였다.

• 한국산림과학회지
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• 제108권3호
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• pp.372-381
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• 2019

조선거수노수명목지는 조선총독부가 조선의 신목을 왜곡하기 위해 만든 자료라는 가설을 세우고 이를 증명하기 위해 연구하였다. 다음과 같은 결론을 얻었다. 첫째 조선거수노수명목지에는 64개 수종 3,170본의 목록이 기록되어 있다. 노거수에 신적 요소 고사 전설이 있으면 신목, 고사적 요소 고사 전설이 있으면 명목으로 분류되어 있다. 본수가 가장 많은 느티나무로부터 8번째로 많은 전나무까지 8수종 2,632본을 분석대상으로 하였다. 8개 수종별 신목과 명목의 평균 직경, 평균 수고, 평균 수령을 산출하였다. 8개 수종 중 7개 수종에서 명목의 직경과 수령이 신목보다 크고, 6개 수종에서 명목의 수고가 신목보다 컸다. 신목이 명목보다 왜소하고 볼품없는 크기의 나무라는 이 상식에 반하는 사실이 조선거수노수명목지에 기록되어 있음이 확인되었다. 본 고의 가설은 위의 사실 확인으로 증명되었다. 둘째 조선총독부는 신목을 중심으로 행해지는 동제를 미신으로 타파하는 시책을 추진하였다. 신목이 작고 볼품없어야 미신이라고 주장하기 좋았을 것이다. 조선 신목의 신성성을 폄하하기 위한 설명자료 또는 증거자료로 조선거수노수명목지를 작성한 것이다. 셋째 조선의 신목이 명목보다 작고 왜소하다는 날조된 내용을 사실인양 쉽게 설명할 수 있도록 조선거수노수명목지를 흉고직경순으로 편찬한 것이다.

• 한국환경과학회지
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• 제17권6호
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• pp.647-655
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• 2008

The purpose of the study is to find the problems related to the current state of the stand age classes and the method of calculating it defined in the existing forest type map and propose the more accurate method of calculating the stand age classes. The object for the study was selected as the forest scattered around the Geesan village Paju city in Kyunggi province. For the accurate method of calculating the stand age classes, such items as, the type of actual vegetation, establishment of grid-type standard area scaled down at the level of the 5% of the actual area, the types, number, DBH and age of tree found by the plots, were investigated. It was found out actual vegetation was divided into the total 24 types and the 20 types of them belonged to the growing tree areas. As the plots, the 125 places(unit area: $400m^2$) were established the types of the trees found were distributed in the range where the minimum was 1 type, the maximum was 9, the mean was $4.4{\pm}1.5$, and the mode was 4 types. The number of the trees found was distributed in the range where the minimum was 17, the maximum was 125, the mean was $4.4{\pm}1.5$, and the mode was 70. In the DBH, the minimum was 6 cm, the maximum was 30 cm, the mean was 13 cm and the mode was 10 cm. As the result of measuring the age of the 5 trees corresponding to the value of the mode in DBH, selected among the dominant species by the plots, less than 20 years was 17 places, the 115 places were included in the range from 21 to 30 years, and more than 31 years was the 6 places.

• Journal of Forest and Environmental Science
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• 제29권4호
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• pp.282-291
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• 2013

Rapid loss in viability of neem (Azadirachta indica A. Juss.) seed is a major problem. Present effort was undertaken for developing a set pattern for assessing of viability and vigour in seed of various mother tree age of neem (Age I-06 years, Age II-15 years, Age III-25 years and Age IV->30 years old). Various viability test viz. triphenyle tetrazolium chloride test, electrical conductivity, excised embryo test, and germination test have been performed on seeds obtained from mother tree age classes. Inconsistency was observed with the TTC and EC test in germination of seed in laboratory as well as nursery. While various vigour tests viz. cold test, chemical stress test (methanol stress test), and accelerated ageing test alongwith ageing index, germination test (G%, MGT and GV) and various seedling growth parameters like seedling length (cm), number of leaves, collar diameter (cm), total biomass (g) alongwith mathematical indices i.e. vigour index, sturdiness quotient, volume index, quality index, root shoot ratio in nursery as well have been taken for study and showed better consistency. On the basis present study results of various viability and vigour test indicated that mother tree age class II performed better in comparison to others and it can be recommended for seed collection. Further it is also recommended that viability of neem seed may be assessed using various laboratory tests like excise embryo test and germination test (G%, MGT and GV) and vigour test may be taken preferably by cold germination test, chemical (methanol) stress test, accelerated ageing test in laboratory and germination alongwith various seedling growth parameters seedling length (cm), number of leaves, collar diameter (cm), total biomass (g) alongwith mathematical indices like Vigour Index, Sturdiness quotient, Volume Index, Quality index, root shoot ratio in nursery as discussed in this study.

• 한국산림과학회지
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• 제110권4호
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• pp.601-609
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• 2021

대추나무 '황실'의 고품질 생대추 생산기술 개발을 위한 기초자료를 확보하기 위해 수령(3~7년생)에 따른 생육특성, 과실품질, 수확량 등을 분석하였다. 대추나무 '황실'의 평균 수고와, 수관면적, 근원경, 지하고, 주지수, 주지간거리는 각각 230.8 cm(224.4~247.2 cm), 3.0 m²(2.1~3.8 m²), 4.8 cm(2.4~6.2 cm), 69.1 cm(46.6~78.0 cm), 12.9개(8.6~19.6 개), 8.1 cm(7.4~9.0 cm)인 것으로 나타났다. 각 항목 간 상관분석 결과, 수령과 수관폭, 근원경, 지하고는 정의 상관을 보인 반면, 주지수는 음의 상관을 나타냈다. 결과모지 및 본당 평균 과실수는 20.0개(14.3~26.3개)와 302.8개(257.3~373. 5개)인 것으로 각각 나타났다. 특히 수령과 결실특성(주지당 결과모지수, 결과모지당 결과지수, 결과지당 과실수) 간에는 유의한 차이가 없는 것으로 추정된다. 대추나무의 수형은 생육면적과 하우스 형태에 따라 일정하게 관리하기 때문이다. 평균 과중은 24.2 g(22.4~26.8 g)이었으며 과실의 경도와 당도는 각각 28.4 N(27.3~30.0 N)과 19.0%(17.1~19.8%)인 것으로 조사되었고, 수령 간에 유의한 차이는 각각 없는 것으로 분석되었다. 본당 수확량은 7.4 kg/본(5.7~9.1 kg/본)으로, 6년생과 7년생에서 통계적으로 가장 많은 수확량을 나타냈다.

• Physical Therapy Rehabilitation Science
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• 제12권2호
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• pp.80-91
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• 2023

Objective: The purpose of this study is to identify factors that affect the incidence of hypertension using logistic regression and decision tree analysis, and to build and compare predictive models. Design: Secondary data analysis study Methods: We analyzed 9,859 subjects from the Korean health panel annual 2019 data provided by the Korea Institute for Health and Social Affairs and National Health Insurance Service. Frequency analysis, chi-square test, binary logistic regression, and decision tree analysis were performed on the data. Results: In logistic regression analysis, those who were 60 years of age or older (Odds ratio, OR=68.801, p<0.001), those who were divorced/widowhood/separated (OR=1.377, p<0.001), those who graduated from middle school or younger (OR=1, reference), those who did not walk at all (OR=1, reference), those who were obese (OR=5.109, p<0.001), and those who had poor subjective health status (OR=2.163, p<0.001) were more likely to develop hypertension. In the decision tree, those over 60 years of age, overweight or obese, and those who graduated from middle school or younger had the highest probability of developing hypertension at 83.3%. Logistic regression analysis showed a specificity of 85.3% and sensitivity of 47.9%; while decision tree analysis showed a specificity of 81.9% and sensitivity of 52.9%. In classification accuracy, logistic regression and decision tree analysis showed 73.6% and 72.6% prediction, respectively. Conclusions: Both logistic regression and decision tree analysis were adequate to explain the predictive model. It is thought that both analysis methods can be used as useful data for constructing a predictive model for hypertension.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2005년도 Proceedings of ISRS 2005
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• pp.407-410
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• 2005

We used a series of Landsat images acquired from 1984 to 2001 to observe decadal changes of the research forest of Kangwon National University. Tree NDVI images of November in 1984, 1986 and 2001 were displayed in RGB color composite. This image enabled us to identify historical change of conifer types and their approximate ages. Conifers were classified into 'old conifer aged more than 25 years', 'young conifer aged 20-25 years' 'very young conifer aged less than 20 years', and recently deforested areas. The results coincide with in situ data very well. Archives of higher resolution images should be used to monitor the change of area for various tree types.

• Clinical and Experimental Emergency Medicine
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• 제5권4호
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• pp.230-239
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• 2018

Objective The suicide rate in South Korea is very high and is expected to increase in coming years. Intoxication is the most common suicide attempt method as well as one of the common reason for presenting to an emergency medical center. We used decision tree modeling analysis to identify predictors of risk for suicide by intentional intoxication. Methods A single-center, retrospective study was conducted at our hospital using a 4-year registry of the institute from January 1, 2013 to December 31, 2016. Demographic factors, such as sex, age, intentionality, therapeutic adherence, alcohol consumption, smoking status, physical disease, cancer, psychiatric disease, and toxicological factors, such as type of intoxicant and poisoning severity score were collected. Candidate risk factors based on the decision tree were used to select variables for multiple logistic regression analysis. Results In total, 4,023 patients with intoxication were enrolled as study participants, with 2,247 (55.9%) identified as cases of intentional intoxication. Reported annual percentages of intentional intoxication among patients were 628/937 (67.0%), 608/1,082 (56.2%), 536/1,017 (52.7), 475/987 (48.1%) from 2013 to 2016. Significant predictors identified based on decision tree analysis were alcohol consumption, old age, psychiatric disease, smoking, and male sex; those identified based on multiple regression analysis were alcohol consumption, smoking, male sex, psychiatric disease, old age, poor therapeutic adherence, and physical disease. Conclusion We identified important predictors of suicide risk by intentional intoxication. A specific and realistic approach to analysis using the decision tree modeling technique is an effective method to determine those groups at risk of suicide by intentional intoxication.