• Journal of Forest and Environmental Science
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• 제31권2호
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• pp.126-135
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• 2015

This study was conducted to evaluate the ecological characteristics of forest cover types which were classified by cluster analysis in the natural forest of Sobaeksan on the basis of the vegetation data from the point-quarter sampling method. Recognized forest cover types were 1) Mixed mesophytic forest, 2) Taxus cuspidata forest, 3) Fraxinus rhynchophylla-Quercus mongolica forest, 4) Betula ermanii forest, 5) Pinus densiflora forest, 6) Quercus mongolica mixed forest, and 7) Quercus mongolica pure forest. For those of classified types, the species composition was expressed by importance value (IV) to describe the community floristically. The species diversity was quantified using the Shannon's diversity index. The results showed that the forest cover types were characteristically different from one another in growing species and compositional rates, depending upon the type which was formed by a number of similar vegetational sample points. Species diversity indices (H') of total and overstory both were the highest in the mixed mesophytic forest (3.530 and 2.880, respectively), and lowest in the Q. mongolica pure forest (2.122 and 0.000, respectively) with only one canopy species. The highest species diversity in the mixed mesophytic forest may due to the relatively high species richness and evenness in the forest cover types. The description on ecological characteristics were suggested to understand the formation and development of forest cover types in this study area.

• 한국환경복원기술학회지
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• 제18권1호
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• pp.127-133
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• 2015

Interests in ecosystem services have increased and a number of attempts to perform a quantitative valuation on them have been undertaken. To classify the ecosystem types landcover classification maps are generally used. However, some forest types on landcover classification maps have a number of errors. The purpose of this study is to verify the forest types on the landcover map by using a variety of field survey data and to suggest an improved method for forest type classifications. Forest types are compared by overlaying the landcover classification map with the 4th forest type map, and then they are verified by using National Forest Inventory, 3rd National Ecosystem Survey and field survey data. Misclassifications of forest types are found on the forest on the forest type map and farm and other grassland on the landcover map. Some errors of forest types occur at Daegu, Busan and Ulsan metropolitan cities and Gangwon province. The results of accuracy in comprehensive classification show that deciduous forest is 76.1%; coniferous forest is 54.0%; and mixed forest is 22.2%. In order to increase the classification accuracy of forest types a number of remote sensing images during various time periods should be used and the survey period of NFI and the National Forest Inventory and National Ecosystem Survey should be consistent. Also, examining areas with wide forest patch should be prioritized during the field survey in order to decrease any errors.

• Journal of Forest and Environmental Science
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• 제28권2호
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• pp.137-141
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• 2012

This study was conducted from February 2005 to October 2007 to investigate bird distribution at three types of forest (mixed, broadleaf and coniferous) in Gwangneung forest. As a result, more birds used mixed forests than broodleaf and coniferous forest. During forest was opened to public, more birds also frequently used mixed forests. When forest was closed to public, there was no preference among three forest types. We also compared the number of species and individuals between open and restricted area. More species and individuals used restricted area.

• 한국산림과학회지
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• 제105권2호
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• pp.157-166
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• 2016

덕유산 백암봉 일대의 천연림을 대상으로 산림형을 구분하고, 각 산림형별 생태적 특성을 파악하여 천이경향을 제시하였다. 사분각법을 이용하여 225개의 표본점에서 식생자료를 수집하였으며, 다양한 다변량 통계분석(Cluster분석, 지표종분석, 다중판별분석 등)을 실시하여 산림형을 구분하였다. 그 결과, 연구대상지는 5개의 산림형으로 분류되었고, 상층의 우점비율 및 입지환경에 따라 능선부에서는 신갈나무림, 계곡부에서는 들메나무-물푸레나무-층층나무림과 들메나무림, 사면하부에서는 졸참나무-소나무-신갈나무림, 소나무림 등이 분포하여 입지조건에 따라 수종구성 차이가 뚜렷한 것으로 나타났다. 산림유형별 생태적, 환경적 특성을 근거로 천이경향을 추정한 결과, 현재의 산림형은 신갈나무림, 들메나무림, 중생혼합림, 참나무-서어나무림 등으로 천이가 진행될 것으로 예상되었다.

• 한국산림과학회지
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• 제104권3호
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• pp.368-374
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• 2015

본 연구는 지리산 일대 천연림에서 점표본법인 사분법에 의해서 수집한 식생자료를 바탕으로 cluster 분석법을 이용하여 산림형을 분류하였다. 연구 대상림은 신갈나무림형, 들메나무-거제수나무림형, 중생혼합림형, 구상나무림형, 서어나무림형, 졸참나무림형, 소나무림형, 굴참나무림형 등 8개의 산림형으로 분류되었다. 분류된 8개의 산림형들의 천이 진행 정도를 비교 평가하기 위하여 각 산림형별로 천이지수를 산출하였다. 연구 결과, 서어나무림형의 천이지수가 219.7로 산출되어 가장 높았고, 미미한 차이의 천이지수 218.3이 산출된 중생혼합림이 그 뒤를 이었으며, 소나무림형의 천이지수가 가장 낮았다. 산림형들의 천이지수와 종다양성지수와의 비례적인 관계는 찾기 어려웠다. 가정적으로, 천이지수가 높은 산림형은 극상림에 보다 가까이 근접한 것으로 사료된다. 그러나 추정된 천이지수는 천이 단계를 가늠하는 절대적인 기준으로 삼을 수는 없지만, 산림형들 간에 천이 계열 상의 위치를 비교 평가할 수 있는 참고자료의 역할을 할 수 있을 것으로 사료된다.

• Journal of Forest and Environmental Science
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• 제34권2호
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• pp.145-152
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• 2018

Quantification of Carbon stock has become in the contest of changing climate and mitigation potential of forests. Two different forest types, Dry Shiwalik Sal Forest and Moist Shiwalik Sal Forest in Barkot and Lachchiwala of Doon Valley, Western Himalaya are selected for the study. Volume equations, destructive sampling and laboratory analysis are done to estimate the carbon stock in different carbon pools like trees, shrubs, herbs and soils. Considerable variations are observed in terms of carbon stocks in different forest types. In Dry Shiwalik Sal Forest, carbon stock density varied between 129.81 and $136.00MgCha^{-1}$ while in Moist Shiwalik Sal Forest, carbon stock density ranged from 222.29 to $271.67MgCha^{-1}$. Tree species like Shorea robusta, Syzigium cumini, Miliusa velutina, Acacia catechu, and Mallotus philippensis had significant role in carbon sequestration. Shorea robusta had contributed highest in carbon stock due to highest density. Total of 2,338,280.165 Mg carbon stock was estimated in all the forest types.

• International journal of advanced smart convergence
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• 제10권1호
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• pp.216-224
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• 2021

Aim of this research was to classify forest types at Wando in Jeonnam Province and develop warm temperate forest management system with application of Remote Sensing and GIS. Another emphasis was given to the analysis of satellite images to compare forest type changes over 10 year periods from 2009 to 2019. We have accomplished this study by using ArcGIS Pro and ENVI. For this research, Landsat satellite images were obtained by means of terrestrial, airborne and satellite imagery. Based on the field survey data, all land uses and forest types were divided into 5 forest classes; Evergreen broad-leaved forest, Evergreen Coniferous forest, Deciduous broad-leaved forest, Mixed fores, and others. Supervised classification was carried out with a random forest classifier based on manually collected training polygons in ROI. Accuracy assessment of the different forest types and land-cover classifications was calculated based on the reference polygons. Comparison of forest changes over 10 year periods resulted in different vegetation biomass volumes, producing the loss of deciduous forests in 2019 probably due to the expansion of residential areas and rapid deforestation.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
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• pp.760-762
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• 2003

This study confirmed the usefulness of short-wavelength infrared (SWIR) in the discrimination and classification of evergreen forest types. A forested area near Hisayama and Sasaguri in Fukuoka Prefecture, Japan, served as the study area. Warm-temperate forest vegetation dominates the study site vegetation. Coniferous plantation forest, natural broad-leaved forest, and bamboo forest were analyzed using LANDSAT5/TM and SPOT4/HRVIR remote sensing data. Samples were extracted for the three forest types, and reflectance factors were compared for each band. Kappa coefficients of various band combinations were also compared by classification accuracy. For the LANDSAT5/TM data observed in April, October, and November, Bands 5 and 7 showed significant differences between bamboo, broad-leaved, and coniferous forests. The same significant difference was not recognized in the visible or near-infrared regions. Classification accuracy, determined by supervised classification, indicated distinct improvements in band combinations with SWIR, as compared to those without SWIR. Similar results were found for both LANDSAT5/TM and SPOT4/HRVIR data. This study identified obvious advantages in using SWIR data in forest-type discrimination and classification.

• Journal of Forest and Environmental Science
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• 제33권1호
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• pp.66-73
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• 2017

This study was conducted to evaluate the ecological attributes of forest types which were classified by cluster analysis in the natural forest of Mt. Odae on the basis of the vegetation data (232 sampling points) from the point-quarter sampling methods. For the classified types, the species composition was expressed by importance value to describe the stand structure and the species diversity was quantified using the Shannon's diversity index. Recognized forest types were 1) Quercus mongolica-Pinus densiflora-Betula ermanii forest type, 2) Mixed mesophytic forest type, 3) Q. mongolica forest type, 4) B. ermanii forest type. Species diversity indices of total and overstory were highest in the Mixed mesophytic forest type (3.465 and 2.942), and lowest in the B. ermanii forest type (0.118 and 0.832). In addition to that, Q. mongolica-P. densiflora-B. ermanii forest type was calculated as 3.226 and 2.565, and Q. mongolica forest type was calculated as 2.776 and 1.218 in total and overstory, respectively. It was considered that after the P. densiflora and B. ermanii first invaded and site condition became good, Q. mongolica-P. densiflora-B. ermanii forest type was dominated by Q. mongolica. Mixed mesophytic forest type showed the most stable stand structure with various species distributed uniformly. Q. mongolica forest type would preserve the present stand status for a while, and the B. ermanii in B. ermanii forest type would be pressed by other species over time.

• 한국산림과학회지
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• 제105권3호
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• pp.315-320
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• 2016

본 연구는 경상남도 진주시에 위치한 도시숲을 대상으로 토양 물리화학성 및 등산로 훼손유형을 평가하여 등산로 노면의 피해양상과 훼손실태를 파악함으로써 도시생활권 등산로의 관리를 위하여 수행하였다. 등산로와 산림지역의 토양 물리화학성 분석 결과, 등산로 토양깊이 0 cm, 5 cm의 토양경도가 산림지역에 비해 유의적으로 높게 나타났으며, 기타 토양물리화학성에서는 모두 유의적 차이가 없었다. 아울러 훼손유형 중 노폭확대형이 66%로 가장 많이 나타났고, 노면침식형 59%, 샛길형 57%, 경계침식형과 수목뿌리노출형이 각각 41%로 나타났으며, 노면배수불량형과 급경사형, 산사태 훼손유형은 나타나지 않았다. 특히, 대부분 인자에서 차이가 없는 것은 등산로뿐만 아니라 산림지역도 훼손되었을 가능성이 있으며, 진주시 도시숲 등산로는 이용객의 과밀현상 등에 의해 토양경도 훼손이 악화되는 것을 방지하는 대책이 우선적으로 마련되어야 할 것이다.