• 한국산림과학회지
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• 제83권2호
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• pp.121-132
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• 1994

윤벌기(輪伐期)는 각 영급이 존재하는 삼림의 생산(生産)을 조절하기 위해서 설정된 삼림경영목표(森林經營目標)중 가장 중요한 인자중의 하나이다. 본 연구(硏究)에서는 특히 최적화(最適化)계산의 형태로 법정임(法正林)모델에서의 최적윤벌기(最適輪伐期)가 추정(推定)되었다. 그리고 법정림모델과의 연계하에 자연상태에서 여러가지 위험조건에 처해있는 현실임분(現實林分)에 더욱 접근시키기 위하여 목표임(目標林)모델이 간단작업급삼림(間斷作業級森林)모델(모델 1)과 연년보속작업급삼림(連年保續作業級森林)모델(모델 2)의 두가지로 나뉘어 전개되었으며 이 두 모델에 의해 최적윤벌기가 계산되었다. 동시에 법정림모델, 목표림모델 1, 2에 의해 추정된 최적윤벌기가 상호 비교되었다. 이때 강원대학교(江原大學校) 임과대학(林科大學) 부속(附屬) 연습림(演習林) 내(內) 잣나무임분이 최적윤벌기(最適輪伐期) 계산의 대상이 되었다.

• 한국산림과학회지
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• 제67권1호
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• pp.52-59
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• 1984

A Gentan probability q(j) is the probability that a newly planted forest will be felled at age-class j. A future change in growing stock and yield of the forests can be predicted by means of this probability. On the other hand a state of the forests is described in terms of an n-vector whose components are the areas of each age-class. This vector, called age-class vector, flows in a n-1 dimensional simplex by means of $n{\times}n$ matrices, whose components are the age-class transition probabilities derived from the Gentan probabilities. In the simplex there exists a fixed point, into which an arbitrary forest age vector sinks. Theoretically this point means a normal state of the forest. To each age-class-transition matrix there corresponds a single normal state; this means that there are infinitely many normal states of the forests.

• Journal of Forest and Environmental Science
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• 제32권1호
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• pp.55-67
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• 2016

This paper investigated policies that drive the sustainable management of Ivorian forest which disappear at an annual rate of 250000 hectares. Based on an inter-temporal model for optimum allocation of forest land to three competing uses, the article found that sustainability depends on the incentive structure, of which forest taxes and fees are a key, though obviously not the sole, component. The study proposed to increase the area fee level by accounting for environmental externalities generated by forest harvesters and farmers. The paper showed that the area fee is a decreasing function of the forest natural rate of regeneration and the reconversion rate of agricultural surfaces. Finally, at the given forest natural rate of regeneration and the reconversion rate of agricultural surfaces, the model argued that the area fee need to be progressive (arithmetic progression) in the context of ecological equilibrium break while it should remain constant in normal situation.

• 한국산림과학회지
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• 제106권2호
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• pp.267-273
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• 2017

본 연구는 중부지방소나무에 대하여 현실림을 반영한 수확표를 조제하기 위하여 수행되었다. 현재 사용하고 있는 수확표는 정상적인 생육 이상의 군락을 대상으로 조사 분석한 결과로 현실림보다 과대한 값을 제공하여 법정림 외에 적용하기는 다소 어려운 점이 있었다. 따라서 본 연구에서는 침엽수 대표 수종인 소나무를 대상으로 현실림에 대한 임분 생장량을 추정하였다. 본 연구에 이용한 자료는 국가산림자원조사(National Forest Inventory) 자료 중 1,957개의 중부지방소나무 표본점 자료를 이용하였다. 분석절차는 직경분포의 추정, 적합, 예측의 단계를 거쳤으며, 직경분포모델은 Weibull 함수를 이용하였다. 생장모델 내 평균직경과 평균흉고단면적 추정 시 사용한 모델은 Weibull과 Schumacher였다. 기준임령 30년을 바탕으로 중부지방소나무의 지위지수 범위는 8-14에 있는 것으로 나타났다. 임분수확표 지위 12에 따르면, 30년생일때 연평균생장량(MAI)이 $4.42m^3/ha$로 나타났다. 기존 수확표와 비교하였을 때 본 연구결과의 연평균생장량이 더 낮은 것을 알 수 있으며, 이는 법정림과 현실림의 지위지수별 연령별 재적의 차를 쌍체 T-검정(paired t-test)한 결과, 0.001이하의 p-value를 가져 통계적으로 유의한 차이가 있는 것으로 판단하였다. 본 연구의 결과를 바탕으로 중부지방소나무의 현실적인 산림 경영과 관리정책에 도움을 줄 수 있을 것으로 사료된다.

• Journal of Forest and Environmental Science
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• 제34권6호
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• pp.451-456
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• 2018

The use of single component distribution to describe the irregular stand structure of degraded forest often lead to bias. Such biasness can be overcome by the application of finite mixture distribution. Therefore, in this study, finite mixture distribution was used to characterise the irregular stand structure of the Gmelina arborea plantation in Omo forest reserve. Thirty plots, ten each from the three stands established in 1984, 1990 and 2005 were used. The data were pooled per stand and fitted. Four finite mixture distributions including normal mixture, lognormal mixture, gamma mixture and Weibull mixture were considered. The method of maximum likelihood was used to fit the finite mixture distributions to the data. Model assessment was based on negative loglikelihood value ($-{\Lambda}{\Lambda}$), Akaike information criterion (AIC), Bayesian information criterion (BIC) and root mean square error (RMSE). The results showed that the mixture distributions provide accurate and precise characterisation of the irregular diameter distribution of the degraded Gmelina arborea stands. The $-{\Lambda}{\Lambda}$, AIC, BIC and RMSE values ranged from -715.233 to -348.375, 703.926 to 1433.588, 718.598 to 1451.334 and 3.003 to 7.492, respectively. Their performances were relatively the same. This approach can be used to describe other irregular forest stand structures, especially the multi-species forest.

• Journal of the Korean Wood Science and Technology
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• 제47권1호
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• pp.101-109
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• 2019

This paper examines the classification of five coniferous species, including larch (Larix kaempferi), red pine (Pinus densiflora), Korean pine (Pinus koraiensis), cedar (Cryptomeria japonica), and cypress (Chamaecyparis obtusa), using near-infrared (NIR) spectra. Fifty lumber samples were collected for each species. After air-drying the lumber, the NIR spectra (wavelength = 780-2500 nm) were acquired on the wide face of the lumber samples. Soft independent modeling of class analogy (SIMCA) was performed to classify the five species using their NIR spectra. Three types of spectra (raw, standard normal variated, and Savitzky-Golay $2^{nd}$ derivative) were used to compare the classification reliability of the SIMCA models. The SIMCA model based on Savitzky-Golay $2^{nd}$ derivatives preprocessing was determined as the best classification model in this study. The accuracy, minimum precision, and minimum recall of the best model (PCA models using Savitzky-Golay $2^{nd}$ derivative preprocessed spectra) were evaluated as 73.00%, 98.54% (Korean pine), and 67.50% (Korean pine), respectively.

• Journal of Forest and Environmental Science
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• 제28권4호
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• pp.205-211
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• 2012

Yield tables are a frequently used data base for regional timber resource forecasting. A normal yield table is based on two independent variables, age and site (species constant), and applies to fully stocked (or normal) stands while empirical yield tables are based on average rather than fully stocked stands. Normal and empirical yield tables essentially have many limitations. The limitations of normal and empirical yield tables led to the development of variable density yield tables. Mathematical models for estimating timber yields are usually developed by fitting a suitable equation to observed data. The model is then used to predict yields for conditions resembling those of the original data set. It may be accurate for the specific conditions, but of unproven accuracy or even entirely useless in other circumstances. Thus, these models tend to be specific rather than general and require validation before applying to other areas. Dalbergia sissoo forms a major portion of irrigated plantations in the hot desert of India and is an important timber tree species where stem wood is primarily used as timber. Variable density yield model is not available for this species which is very crucial in long-term planning for managing the plantations on a sustained basis. Thus, the objective of this study was to develop variable density yield model based on the data collected from 30 sample plots of D. sissoo laid out in IGNP area of Rajasthan State (India) and measured annually for 5 years. The best approximating model was selected based on the fit statistics among the models tested in the study. The model develop was evaluated based on quantitative and qualitative statistical criteria which showed that the model is statistically sound in prediction. The model can be safely applied on D. sissooo plantations in the study area or areas having similar conditions.

• Journal of the Korean Wood Science and Technology
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• 제43권3호
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• pp.311-319
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• 2015

근적외선 반사율 분광분석법을 이용하여 리기다 소나무, 소나무, 잣나무, 백합나무의 섬유포화점 이하 함수율 예측모델을 개발하였다. 시편들을 다양한 평형함수율 상태로 유도한 후 1000 nm~2400 nm 파장영역의 반사율 스펙트럼을 획득하였다. 최적 함수율 예측 모델을 선정하기 위해 5가지의 수학적 전처리(moving average (smoothing point: 3), baseline, standard normal variate (SNV), mean normalization, Savitzky-Golay $2^{nd}$ derivatives (polynomial order: 3, smoothing point: 11))를 8가지 조합으로 각 시편의 반사율 스펙트럼에 적용하였다. 수학적 전처리 후, 변형된 스펙트럼을 이용하여 PLS 회귀분석을 실시하였다. 그 결과, 최적 함수율 예측 모델을 도출한 전처리 방법은 리기다 소나무와 소나무의 경우 moving average/SNV, 잣나무와 백합나무의 경우 moving average/SNV/Savitzky-Golay $2^{nd}$ derivatives이며, 모든 모델은 3개의 주성분을 포함하고 있었다.

• 한국산림과학회지
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• 제94권5호통권162호
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• pp.321-329
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• 2005

Based on the data representing four typical Korean pine forest types, the age structure, DBH distribution, species composition, and forking rule were systemically analyzed for old-growth Korean pine forest in Liangshui Nature Reserve, northeast China. The age structure of Korean pine trees was strongly uneven-aged with one dominated peak following normal distribution, and age of trees varied from 100 to 180 years within a stand. The DBH and height differences in same age class (20 years) varied from 28 cm~64 cm and 5 to 20 m, respectively. Many conifer and hard wood species, such as spruce, fir, costata birch, basswood, oak, and elm, were mixed with dominated trees of Korean pine. The canopy of the old-growth Korean pine forest can be divided into two layers, and differences of mean age and height between Layer I and Layer II were ranged 80~150 years and 7~13 m, respectively. The Weibull function was used to model the diameter distribution and performed well to describe size-class distribution either with a single peak in over-story canopy and inverse J-shape in under-story canopy for old-growth Korean pine stands. The forking height of Korean pine trees ranged from 16m to 24 m (mean 19.4 m) and tree age about 120 to 160 years old. The results will provide a scientific basis to protect and recover the ecosystem of natural old-growth Korean pine and also provide the model in management of Korean pine plantation.

• 한국산림과학회지
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• 제80권4호
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• pp.427-435
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• 1991

삼림수확계획(森林收穫計劃)을 위한 선형계획법(線型計劃法)(LP)의 적용성(適用性)은 이미 널리 알려져 있다. 본 연구(硏究)에서는 삼림경영(森林經營) 계획기간(計劃期間) 10년 동안 보적수확량(保積收穫量)의 시간적(時間的), 공간적(空間的) 최적배분(最適配分)을 위하여 시뮬레이션과 선형계획법(線型計劃法)을 사용하였다. 수확표수치(收穫表數値)를 이용하여 수종별(樹種別) 생장방정식(生長方程式)을 유도했고 시뮬레이션 모형(模型)에 유도된 생장방정식(生長方程式)을 포함시켜 계획기간(計劃期間)동안 잣나무임분(林分)의 축적변동상황(蓄積變動狀況)을 추정(推定)하였다. 이것은 LP모형의 기초 data가 되며 고전적(古典的) 수확조절방법(收穫調節方法)(Paulsen-Hundeshagen 공식법(公式法))에 의해 계산된 분기별(分期別) 수확재적(收穫材積)의 상한치(上限値)등이 LP모형구성에 포함되었다. 2년(年)을 1분기(分期)로 하여 계획기간(計劃期間) 10년(年)을 5분기(分期)로 나누었으며 본(本) 연구(硏究)에서 개발(開發)된 LP모형에 의해 연습림내(演習林內) 잣나무 임분(林分)의 보조소반별(補助小班別) 분기별(分期別) 최적수확(最適收穫) 계획(計劃)을 수립(樹立)하였다.