• Journal of Ecology and Environment
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• v.34 no.2
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• pp.215-222
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• 2011

We evaluated the carbon (C) and nitrogen (N) status of litterfall in a natural red pine (Pinus densiflora) stand damaged by pine wilt disease in Jinju City, which was one of the areas severely affected by the disease in Korea. A significant correlation (P < 0.05) was found between tree density and basal area and the C and N status of litterfall components, but C and N status was not correlated with mean diameter at breast height in the pine wilt disease stands. Needle-litter C and N concentrations were linearly related (P < 0.05) to basal area in pine wilt disease stands. Needle-litter C concentration decreased with a decrease in damage intensity due to pine wilt disease, whereas litter N concentration increased with an increase of basal area in pine wilt disease stands. The linear regression equations developed for litterfall C and N inputs were significant (P < 0.05), with basal area accounting for 50-86% of the variation, except for cone and flower litter. The results indicated that the incidence of pine wilt disease could impact the quality and quantity of C and N in litterfall of pine stands suffering from pine wilt disease.

• Journal of Korean Society of Forest Science
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• v.108 no.3
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• pp.296-301
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• 2019

This study was conducted to measure litterfall and nutrient (P, K, Ca, Mg) inputs under varying degrees of disturbance by pine wilt disease in pine forests in southern Korea. Litterfall was collected to evaluate nutrient responses at different intensities of disturbance (various levels of basal area) by pine wilt disease across 2 years. Phosphorus, Ca, and Mg concentrations in needle litterfall were positively correlated (p < 0.05) with decreased disturbance intensities (increased basal area) depending on the time of sampling, whereas the nutrient concentrations in other litterfall components (branches, bark, reproductive organs, and miscellaneous litterfall) were not significantly correlated (p > 0.05) with the intensity of pine wilt disease disturbance. Dry weight and nutrient inputs through litterfall components decreased linearly with increasing intensity of disturbance by pine wilt disease (p < 0.05), except for the nutrient inputs of branch (K, Ca, Mg) and reproductive organ (K, Ca) litterfall. These results indicate that decreased litterfall across different levels of disturbance may be related to the reduced soil nutrients in pine wilt disease forests.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.41 no.3
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• pp.317-325
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• 2021

Pine wilt disease first appeared in Busan in 1998; it is a serious disease that causes enormous damage to pine trees. The Korean government enacted a special law on the control of pine wilt disease in 2005, which controls and prohibits the movement of pine trees in affected areas. However, existing forecasting and control methods have physical and economic challenges in reducing pine wilt disease that occurs simultaneously and radically in mountainous terrain. In this study, the authors present the use of a deep learning object recognition and prediction method based on visual materials using an unmanned aerial vehicle (UAV) to effectively detect trees suspected of being infected with pine wilt disease. In order to observe pine wilt disease, an orthomosaic was produced using image data acquired through aerial shots. As a result, 198 damaged trees were identified, while 84 damaged trees were identified in field surveys that excluded areas with inaccessible steep slopes and cliffs. Analysis using image segmentation (SegNet) and image detection (YOLOv2) obtained a performance value of 0.57 and 0.77, respectively.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.24 no.5
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• pp.35-53
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• 2021

A field survey was carried out targeting 59 pine wilt disease control areas distributed in Andong, and the ecological characteristics of the areas affected by pine wilt disease were analyzed using vegetation information, ecological information, and land use information. Vegetation characteristics of Pine wilt disease affected forest area showed a 3-layer vegetation structure, high percentage of accidental occurrence species (37%) and secondary vegetation species (59.6%), appearing 12 taxa naturalized plants and 3 taxa ecosystem disturbance organisms designated by the Ministry of Environment. Ecological information of Pine wilt affected area showed frequent occurrence of water stress in south and west slopes, low lying grounds in mountains, and in well-drained soils. Also, surrounding the area has been used as roads, tombs, and cultivation where intensive human activities were the cause of disturbance and stress to the pine forest. It was analyzed that the pine forest in Andong city suffered extensive damage due to the onset of pine wilt disease while the pine trees were weakened due to continuous human activities. Conclusively, the spread and onset of pine wilt disease are worsened by artificial factors than natural environmental conditions.

• Journal of Environmental Science International
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• v.25 no.1
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• pp.127-134
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• 2016

This study is conducted to get current state of data collection and utilization of the trees damaged by pine wilt disease, and to efficiently collect and utilize of the trees damaged by the pine wilt disease and abandoned fumigation-treated trees at forecasts. The method to control pine wilt disease damaged area is mostly fumigation treatment system, and there is no collection and utilization of damaged trees because of absence of efficient collection system, lack of collection cost, and absence of policy, etc. A survey is conducted that asked about the satisfaction degree for the trees damaged by pine wilt disease collection and use divided into 6 topics. It was positively recognized that the need and problem of the trees damaged by pine wilt disease, and results and satisfaction of forestry mechanization while it was mostly negatively recognized that the policy satisfaction for prevention and collection, satisfaction of collection and use, collection and forestry mechanization, and satisfaction of foundation equipment for forestry mechanization, etc. As a result of path analysis, it is necessary to promote a high-tech forestry mechanization to improve satisfaction level of results and satisfaction of forestry mechanization for the trees damaged by pine wilt disease collection and utilization, it is also need to make an effort in various ways for improve satisfaction level of satisfaction of collection and utilization.

• Proceedings of the KSRS Conference
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• 2005.10a
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• pp.260-263
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• 2005

This study was carried out to investigate the effects of spatial resolutions on digital image for detecting pine trees damaged by pine wilt disease. Color infrared images taken from PKNU-3 multispectral airborne photographing system with a spatial resolution of 50cm was used as a basic data. Further test images with spatial resolutions of 1m, 2m and 4m were made from the basic data to test the detecting capacity on each spatial resolution. The test was performed with visual interpretation both on mono and stereo modus and compared with field surveying data. It can be conclude that it needs less than 1m spational resolutions or 1m spatial resolutions with stereo pair in order to detect pine trees damaged by pine wilt disease.

• Journal of Digital Contents Society
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• v.18 no.1
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• pp.191-195
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• 2017

In this study, a smartphone application for reporting trees infected with pine wilt disease was developed to prevent the spread of the disease by the disease-carrying pests/insects, which is most damning to the country's pine trees, South Korea's representative tree species, and to ensure the sustained maintenance of the country's forest trees. Such application for handling information on the infected pine trees has three key components, as shown below. (1) Explanation of the pine wilt disease pests/insects, (2) Image capture of the infected pine tree, and transmission of its GPS location, (3) Inquiry on the neighboring area infected with pine wilt disease. It is possible to promptly provide the spatial information of the areas infected with pine wilt disease by developing a dedicated application for reporting trees infected with the disease based on GPS information. If users participate actively in the application and integration with the forest service application is to be realized, the application would be more actively utilized.

• Journal of Korean Society of Forest Science
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• v.100 no.2
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• pp.165-171
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• 2011

This study was conducted to investigate the effect on pine wilt disease by health-thinning, thinning and sapling tending in red pine forest (Pinus densiflora). As a part of developing forestry control methods for pine wilt disease control. In case of putting in pine sawyer (Monochamus alternatus) with pine wood nematode (Bursaphelenchus xylophilus), the specimen trees in health-thinning, thinning and control treatment were withered more than 50%, although there were not statistically significant differences in treatments. In treatment site, thinning slashes had influenced on the spread of pine wilt disease (experiment 1). In thinning stand of sapling pine, site with thinning slashes had highest mortality (> 90%). There were approximately 10% mortality in the site of carried thinning slashes from case and the site of non-thinning with released M. alternatus (experiment 2). The larvae had not appeared in young tree stump with health-thinning and thinning at April, the current emergence year of M. alternatus, but there were larvae in sapling tree stump with thinning at May, the current emergence year of M. alternatus. In case of stands with infected young and sapling tree by pine wilt disease, there is no effects of on pine wilt disease control by health-thinning, thinning, saplings tending at April and May, the current emergence year of M. alternatus, and leaved thinning slashes had influenced on the spread of pine wilt disease as habitation of M. alternatus.

• Korean Journal of Remote Sensing
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• v.35 no.3
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• pp.359-373
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• 2019

Bursaphelenchus xylophilus(Pine wilt disease) is a serious threat to the pine forest in Korea. However, dead wood observation by Pine wilt disease is based on field survey. Therefore, it is difficult to observe large-scale forests due to physical and economic problems. In this paper, high resolution images were obtained using the unmanned aerial vehicle (UAV) in the area where the pine wilt disease recurred. The damaged tree due to pine wilt disease was detected using Artificial Neural Network (ANN), Support Vector Machine (SVM) supervision classification technique. Also, the accuracy of supervised classification results was calculated. After conducting supervised classification on accessible forests, the reliability of the accuracy was verified by comparing the results of field surveys.

• Journal of the Korean Institute of Landscape Architecture International Edition
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• no.2
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• pp.192-198
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• 2004

It is increasing scenery created as a result of pine wilt disease. The purpose of this study is to investigate the local resident's awareness against the scenery caused by pine wilt disease in their neighboring area, through the questionnaire investigation. The result showed that more than $40\%$ of the residents are not aware of such scenery in their local area, and about 30% of the residents did not know that those trees were dying. More than $40\%$ of the people do not know of the pine wilt disease as a general argument. Another question showed that the recognition of such scenery depends on the distance of the viewer. General residents don't worry about such scenery in the far distance in fact some of them think those are colored leaves. However, the nearer they see the trees, the higher they have negative feeling against it.