• Title/Summary/Keyword: national forest

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Tree-crown Defoliation caused by Outbreak of Forest Insect Pests in Korea during 2020 (2020년 산림해충 대발생에 의한 산림의 식엽 피해)

  • Jung, Jong-Kook;Nam, Youngwoo;Kim, Dongsoo;Lee, Sang-Hyun;Lim, Jong-Hwan;Choi, Won Il;Kim, Eun-Sook
    • Korean journal of applied entomology
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    • v.59 no.4
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    • pp.409-410
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    • 2020
  • This report describes the damage caused by gypsy moths (Lymantria dispar) and stick bugs (Ramulus mikado) to forests and host plants in 2020. Severe tree-crown defoliation was found in central parts of Korea, especially Gangwon (1,638 ha), Gyeonggi (1,134 ha), Chungbuk (726 ha) and Seoul (476 ha). Stick bug outbreaks occurred in hilly areas, such as Mt. Bongsan, located between Seoul and Goyang.

Analysis of optimal activities according to thermal comfort in the forest: focusing on a program for the elderly at the National Forest Therapy Center

  • Tae-Gyu Khil;Ah-Young Jung;Kun-Woo Park;Yang-Soon Oh;Beom Lee;Dawou Joung;Hyelim Lee;Bum-Jin Park
    • Korean Journal of Agricultural Science
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    • v.50 no.4
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    • pp.663-673
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    • 2023
  • The purpose of this study was to scientifically activate the forest healing program activities for the elderly. The predicted mean vote (PMV) and predicted percentage of dissatisfied (PPD), which are indices of thermal comfort in the thermal environment, and degree of canopy closure were compared and analyzed. Based on this information, the study objective was to present the appropriate conditions for maintaining the best comfort for the elderly. Six deck road shelters, which are the most active locations in forest healing programs among the National Center for Forest Therapy, were selected as the study sites. The results indicated that in the case of the conditions of 1 clo (clothing insulation value) and 1 met (metabolic rate) at an air temperature of 19 to 21 degrees in September on the measurement date, the PMV values ranged between -1.85 and -0.98 at all sites, and PPD values ranged between 25.60% and 68.68%. On the other hand, in the case of 1.3 clo and 1.6 met conditions, the PMV values ranged between -0.08 and 0.23 for all sites and PPD values ranged between 5.40 and 6.18. As shown above, the difference in thermal environment comfort and satisfaction according to the condition of the amount of metabolism and the amount of clothing could be confirmed. In addition, an analysis of the relation between PPD and canopy closure suggested a significantly positive correlation between them, and it was found that canopy closure was a factor affecting thermal comfort. Studies on effects of forest thermal environmental comfort and canopy closure on forest healing program areas should be conducted extensively according to seasonal conditions to provide information that can be used for more effective forest healing programs.

Improvement of Forest Boundary in Landcover Classification Map(Level-II) for Functional Assessment of Ecosystem Services (생태계 서비스 기능평가를 위한 중분류 토지피복지도 산림지역 경계설정 개선 방안)

  • Jeon, Seongwoo;Kim, Jaeuk;Kim, Yuhoon;Jung, Huicheul;Lee, Woo-Kyun;Kim, Joon-Soon
    • Journal of the Korean Society of Environmental Restoration Technology
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    • v.18 no.1
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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.

Diversity and Distribution of Wood Decay Fungi in Korea

  • Kim, Nam Kyu;Kim, Dae Ho;Han, Sang Kuk;Cha, Du Song;Lee, Jong Kyu
    • Journal of Forest and Environmental Science
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    • v.34 no.2
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    • pp.126-135
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    • 2018
  • Wood decay fungi were collected in 47 different locations in eight provinces of South Korea from 2011 to 2013. One thousand and five hundreds three fruiting bodies of wood-decay fungi were collected, identified, and classified into 2 phyla, 7 classes, 19 orders, 56 families, 159 genera and 365 species. The most dominant genus and species found were Trametes and T. versicolor. The highest species diversity was found in broad-leaved forest (273 species), and was also found at elevations of 500-1,000 m (227 species). A total of 333 species were collected from broad-leaved trees, 87 species from coniferous trees, and 55 species were collected from both forest types. Gymnopilus liquiritiae was the most dominant species in coniferous trees, while T. versicolor, which was mostly collected from tree trunks below 500 m in elevation, was dominant in broad-leaved trees. Results from the quantitative cluster analysis of wood decay fungi showed that the highest species diversity index was 1.80 in the mixed forests, while the highest similarity among forest types was shown between the broad-leaved and mixed forests.

Assessment of Land Cover Changes from Protected Forest Areas of Satchari National Park in Bangladesh and Implications for Conservation

  • Masum, Kazi Mohammad;Hasan, Md. Mehedi
    • Journal of Forest and Environmental Science
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    • v.36 no.3
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    • pp.199-206
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    • 2020
  • Satchari National Park is one of the most biodiverse forest in Bangladesh and home of many endangered flora and fauna. 206 tons of CO2 per hectare is sequestrated in this national park every year which helps to mitigate climate issues. As people living near the area are dependent on this forest, degradation has become a regular phenomenon destroying the forest biodiversity by altering its forest cover. So, it is important to map land cover quickly and accurately for the sustainable management of Satchari National Park. The main objective of this study was to obtain information on land cover change using remote sensing data. Combination of unsupervised NDVI classification and supervised classification using maximum likelihood is followed in this study to find out land cover map. The analysis showed that the land cover is gradually converting from one land use type to another. Dense forest becoming degraded forest or bare land. Although it was slowed down by the establishment of 'National Park' on the study site, forecasting shows that it is not enough to mitigate forest degradation. Legal steps and proper management strategies should be taken to mitigate causes of degradation such as illegal felling.

Evaluation of a Land Use Change Matrix in the IPCC's Land Use, Land Use Change, and Forestry Area Sector Using National Spatial Information

  • Park, Jeongmook;Yim, Jongsu;Lee, Jungsoo
    • Journal of Forest and Environmental Science
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    • v.33 no.4
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    • pp.295-304
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    • 2017
  • This study compared and analyzed the construction of a land use change matrix for the Intergovernmental Panel on Climate Change's (IPCC) land use, land use change, and forestry area (LULUCF). We used National Forest Inventory (NFI) permanent sample plots (with a sample intensity of 4 km) and permanent sample plots with 500 m sampling intensity. The land use change matrix was formed using the point sampling method, Level-2 Land Cover Maps, and forest aerial photographs (3rd and 4th series). The land use change matrix using the land cover map indicated that the annual change in area was the highest for forests and cropland; the cropland area decreased over time. We evaluated the uncertainty of the land use change matrix. Our results indicated that the forest land use, which had the most sampling, had the lowest uncertainty, while the grassland and wetlands had the highest uncertainty and the least sampling. The uncertainty was higher for the 4 km sampling intensity than for the 500 m sampling intensity, which indicates the importance of selecting the appropriate sample size when constructing a national land use change matrix.