• The Journal of Korean Academy of Prosthodontics
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• v.59 no.3
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• pp.281-290
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• 2021

Purpose. The aim of this study is to evaluate bone change around the implant in patients who underwent alveolar ridge preservation for implantation in the posterior teeth using radiographic data measuring changes of mesial, distal crestal bone level according to post-implantation, post-final prosthesis delivery and follow-up periods. Materials and methods. In total, 36 implants were placed in 32 patients. The mesial and distal crestal bone level of all the areas where alveolar ridge preservation was performed uses panoramic images taken post-implantation, post-final prosthesis delivery, and follow-up period each was measured and evaluated as a vertical value. The following factors were analyzed: associations between changes of crestal bone level and factors (e.g., age, sex, systemic diseases, dentist, implant location, tooth, bone type, membrane). The statistical analysis was performed using the mean, standard deviation and independent t-test, paired t-test (P < .05). Results. Analysis of crestal bone level differences between periods shows statistically significant differences (P < .05). There was no statistically significant difference when the changes of crestal bone level between post-implantation, post-final prosthesis delivery and follow-up periods were correlated with each factors. Conclusion. After alveolar ridge preservation, bone around the implant remained stable during the maintenance period without being affected by the patient and surgical factors, and alveolar ridge preservation is considered a clinically usable procedure.

• Korean Journal of Agricultural and Forest Meteorology
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• v.24 no.4
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• pp.318-329
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• 2022

Plant phenology including flowering, leaf unfolding, and leaf coloring in a forest is important to understand the forest ecosystem. Temperature rise due to recent climate change, however, can lead to plant phenology change as well as snowfall in winter season. Therefore, accurate monitoring of forest environment changes such as plant phenology and snow cover is essential to understand the climate change effect on forest management. These changes can monitor using a digital camera system. This paper introduces the detection methods for plant phenology and snow cover at the mountain region using an unmanned camera system that is a way to monitor the change of forest environment. In this study, the Automatic Mountain Meteorology Stations (AMOS) operated by Korea Forest Service (KFS) were selected as the testbed sites in order to systematize the plant phenology and snow cover detection in complex mountain areas. Multi-directional Internet Protocol (IP) camera system that is a kind of unmanned camera was installed at AMOS located in Seoul, Pyeongchang, Geochang, and Uljin. To detect the forest plant phenology and snow cover, the Red-Green-Blue (RGB) analysis based on the IP camera imagery was developed. The results produced by using image analysis captured from IP camera showed good performance in comparison with in-situ data. This result indicates that the utilization technique of IP camera system can capture the forest environment effectively and can be applied to various forest fields such as secure safety, forest ecosystem and disaster management, forestry, etc.

• Ecology and Resilient Infrastructure
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• v.9 no.4
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• pp.282-289
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• 2022

Analyzing the impact of climate change on the Korean Peninsula on the forest ecosystem is important for the management of subtropical forest bioresources. In this study, we collected location data and bioclimatic variables of the warm-temperate woody plant species, Myrica rubra and Cyzygium buxifolium, and applied the MaxEnt model based on the collected data to estimate the potential distribution area. Precipitation and temperature seasonality in the warmest quarter were the main environmental factors that determined the distribution of M. rubra, and the main environmental factors for S. buxifolium were precipitation in the warmest quarter and precipitation in the wettest quarter. The results of the MaxEnt model by administrative district, the M. rubra showed an area increase rate of 4.6 - 17.7% in the SSP2-4.5 climate change scenario and 13.8 - 30.5% in the SSP5-8.5 climate change scenario. S. buxifolium showed area increase rates of 4.8 - 32.2% in the SSP2-4.5 climate change scenario and 12.9 - 48.6% in the SSP5-8.5 climate change scenario. This study is meaningful in establishing a database and identifying future potential distribution areas of warm and subtropical plants by applying climate change scenarios.

• Ecology and Resilient Infrastructure
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• v.9 no.4
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• pp.269-281
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• 2022

The prediction of changes regarding the distribution of vegetation and plant species according to climate changes is important for ecosystem management. In this study, we attempted to develop an assessment method to evaluate the possibility of the potential distribution of warm-temperate woody plant species of East Asia in Korea. To begin with, a list of warm-temperate woody plants distributed in China and Japan, but not in Korea, was prepared, and a database consisting their global distribution and bioclimatic variables was constructed. In addition, the warm-temperate vegetation zone in Korea was delineated using the coldness index and relevant bioclimatic data were collected. After the exclusion of multicollinearity among bioclimatic variables using correlation analysis, mean temperature of the coldest quarter, mean temperature diurnal range, and annual precipitation were selected as the major variables that influence the distribution of warm-temperate plants. A multivariate environment similarity surfaces (MESS) analysis was conducted to calculate the similarity scores between the distribution of these three bioclimatic variables in the global distribution sites of the East Asian warm-temperate woody plants and the Korean warm-temperate vegetation zone. Finally, using stepwise variable-selection regression, the mean temperature of the coldest quarter and annual precipitation were selected as the main bioclimatic variables that affect the MESS similarity index. The mean temperature of the coldest quarter accounted for 88% of the total variance. For a total of 319 East Asian warm-temperate woody plant species, the possibility of their potential distribution in Korea was evaluated by applying the constructed multivariate regression model that calculates the MESS similarity index.

• Journal of Korean Society of Forest Science
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• v.111 no.4
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• pp.530-537
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• 2022

This study was conducted to compare the physical and chemical properties of soils in Quercus acutissima, Q. mongolica, Q. serrata, and Q. variabilis stands. A total of 423 plots (Q. acutissima 72 plots, Q. mongolica 150 plots, Q. serrata 97 plots, and Q. variabilis: 104 plots) were examined to determine the soil properties of A and B horizons throughout the country. The physical and chemical properties of soils were significantly different among the four different Quercus spp. stands. The sand content in both horizons was significantly higher in Q. acutissima stands than in the other three oak stands, whereas the clay content was lowest among the four stands. The soils in Q. mongolica and Q. serrata stands were more acidified than those in Q. acutissima and Q. variabilis stands. The concentrations of organic carbon and total nitrogen in both soil depths were significantly higher in Q. mongolica stands than in Q. serrata, Q. variabilis, and Q. acutissima stands. The content of available phosphorus was significantly higher in Q. mongolica and Q. serrata stands than in Q. acutissima and Q. variabilis stands; whereas the contents of exchangeable potassium, calcium, and magnesium were lower in Q. mongolica and Q. serrata stands than in Q. acutissima and Q. variabilis stands. The cation exchange capacity was highest in Q. mongolica stands, followed by that in Q. serrata, Q. variabilis, and Q. acutissima stands. These data indicate the need to design a nutrient management plan to enhance the low soil pH and exchangeable cation in Q. mongolica and Q. serrata stands.

• Journal of Korean Society of Forest Science
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• v.111 no.3
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• pp.345-356
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• 2022

Yokjido is a 15-km² inhabited island located at the tip of the southeastern coast of the Korean Peninsula. Its forest is mostly composed of substitutional vegetation. Our aim was to provide basic information necessary for the conservation and management of the forest vegetation in Yokjido. We classified the types of existing vegetation using methods of the Zurich-Montpellier school of phytosociology. The resulting vegetation map shows the dominant tree species in the top canopy-layer. A total of 8 vegetation types were identified, which were arranged into a vegetation unit hierarchy of 2 communities, 4 sub-communities, 6 variants, and 2 subvariants. Evaluations of each type showed large and small differences in floristic composition, which reflect anthropogenic influences, site conditions, succession stages, and the establishment period. Moreover, vegetation types differed significantly in terms of species diversity indices; in particular, overall species richness, species diversity, and species evenness tended to increase significantly as the elevation increased. The herbaceous plant species showed the highest positive (+) correlation to x. These results were consistent with those of McCain, who reported that species diversity increases in mountainous areas with relatively low elevations due to the mid-domain effect. The forest succession in Yokjido will potentially enter a mixed-forest stage and then proceed to become an all-evergreen broad-leaved forest.

• Korean Journal of Environment and Ecology
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• v.36 no.4
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• pp.422-432
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• 2022

Soil and micro-climatic environmental monitoring was conducted to evaluate the factors causing tree growth impediments at the Baekdudaegan ecological axis restoration project site. As a result, it was found that the nutrient supply was insufficient in the restoration project site due to the lack of organic matter, total nitrogen and cation exchange capacity of the soil compared to the surrounding forest. After the completion of the restoration, the soil moisture in the autumn decreased more than 7 times faster than that of the surrounding forest, and it was evaluated that the soil moisture was significantly low due to the lack of silt and clay content. In the case of the restoration site, the annual potential evapotranspiration was analyzed to be 975mm, which is approximately two times higher than that of the surrounding forest. The soil moisture of the restoration site in the summer decreased rapidly during the daytime when the amount of insolation increased and this was found to be strongly influenced by the increase in potential evapotranspiration. In order to improve the above factors affecting the tree growth at the Baekdudaegan ecological axis restoration project site, it is necessary to induce the smooth supply of nutrients and water to plants by improving physical proprieties and cation exchange capacity, i.e., using litterfall, humus soil, soil conditioner and organic fertilizer. The results of this study are expected to serve as basic data for the design, construction, and management of ecological axis restoration projects in the future.

• Korean Journal of Environmental Biology
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• v.39 no.4
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• pp.581-589
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• 2021

Using visible-near infrared(Vis-NIR) spectra combined with machine learning methods, the feasibility of quick and non-destructive classification of Convolvulaceae species was studied. The main aim of this study is to classify six Convolvulaceae species in the field in different geographical regions of South Korea using a handheld spectrometer. Spectra were taken at 1.5 nm intervals from the adaxial side of the leaves in the Vis-NIR spectral region between 400 and 1,075 nm. The obtained spectra were preprocessed with three different preprocessing methods to find the best preprocessing approach with the highest classification accuracy. Preprocessed spectra of the six Convolvulaceae sp. were provided as input for the machine learning analysis. After cross-validation, the classification accuracy of various combinations of preprocessing and modeling ranged between 43.4% and 98.6%. The combination of Savitzky-Golay and Support vector machine methods showed the highest classification accuracy of 98.6% for the discrimination of Convolvulaceae sp. The growth stage of the plants, different measuring locations, and the scanning position of leaves on the plant were some of the crucial factors that affected the outcomes in this investigation. We conclude that Vis-NIR spectroscopy, coupled with suitable preprocessing and machine learning approaches, can be used in the field to effectively discriminate Convolvulaceae sp. for effective weed monitoring and management.

• Korean journal of applied entomology
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• v.62 no.3
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• pp.117-124
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• 2023

The management of Ricania spp. is difficult because this pest has a wide host range and diverse habitats such as agricultural, suburban, urban, and forested areas. However, the researches for Ricania spp. management have been focused on only agricultural crops. Thus, it is required to determine the arboreal host preference of Ricania spp. at the surrounding areas of the farms to increase its management efficiency. To determine its host preference at arboreal plants, we reviewed the previous studies and investigated the densities of Ricania spp. at woody plants with high ecological importance but insufficiently studied. This study identified 120 species in 53 families of arboreal hosts of Ricania spp. Only Cornus officinalis and Styrax japonicus were preferred by all developmental stages of Ricania spp. The host preference of Ricania spp. was changed according to its developmental stages. This phenomenon would be caused by that each developmental stage of Ricania spp. would prefer different parts of woody plant, and require different nutrients for its survivor and reproduction. These results of this study could be helpful to make a plan of comprehensive management strategies for Ricania spp.

• Proceedings of the Plant Resources Society of Korea Conference
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• 2023.04a
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• pp.3-3
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• 2023

우리나라 딸기는 시설재배 발전과 품종개발로 겨울을 대표하는 과일로 변신하였다. 이는 저온단일에서 꽃이 만들어져 착과되는 생태적(일계성)특성 때문이다. 우리나라의 딸기 정식기는 95%이상이 촉성작형으로 9월 중순 정식한 후 11월 하순부터 이듬해 5월 하순까지 약 6개월간 수확한다. 반대로 여름작형은 고온장일에서 꽃이 만들어져 착과되는 사계성 품종을 이용하는데 우리나라 500m 이상의 산간 고랭지에서 3-4월에 정식한 후 6월부터 11월까지 수확하지만 생산량은 전체의 0.3% 미만이다. 또한 여름딸기는 제과용으로만 사용되고 있어 6월부터 11월 사이에 신선딸기의 단경기가 발생된다. 이러한 문제를 재배적으로 해결하기 위해 일계성 품종을 이용하여 겨울부터 봄까지 포기냉장한 후 여름과 가을에 꺼내어 정식하면 45일 내외에 수확하는 주냉장 억제작형을 시도하였으나 우리나라에선 실용성이 떨어져 사라져간 기술이다. 그러나 네덜란드는 우리나라와 같은 주냉장기술을 활용(Waiting bed system, Table top system)하여 여름과 가을철에도 딸기를 생산하고 있다. 이 작형은 냉장기간이 길고 재배기술도 까다로울 뿐만아니라 1화방만 수확하여 수량성이 낮은 단점이 있다. 한편 미국에서는 일계성 품종이 품질은 좋으나 고온기에 꽃대발생이 어렵고 사계성은 품질이 떨어지는 단점을 극복하기 위해 일장의 길이와 관계없이 꽃대가 형성되는 중일성 딸기 품종을 보급하여 세계적으로 가장 많은 재배면적을 점유하고 있다. 연중생산이 가능한 중일성 품종을 개발하기 위해 먼저 유전자원을 수집하였고 품질이 좋은 일계성 품종을 중일성 품종과 교배하여 채종하였다. 교배종자를 파종하여 묘를 만든 후 정식하여 실생개체를 선발한 결과 고온장일 조건에서 개화되는 사계성(중일성)율은 약 10-20% 범위로 매우 낮았다. 선발된 우량계통은 영양번식을 통해 증식하여 생산력, 특성, 지역적응성 검정과정을 통해 품종을 개발하였다. 이렇게 단교잡에 의한 중일성 품종 선발육종은 선발율이 0.05%으로 매우 낮았다. 이렇게 우리나라 최초의 중일성딸기 '고슬' 품종이 개발되었다. 이 '고슬'은 9월부터 수확이 가능한데 이 때의 딸기 가격이 kg당 20,000원 이상으로 높으며, 수확기간은 '설향'보다 4개월 더 길게 재배가 가능하다. 연중재배를 위해서는 항상 8-25℃의 범위을 유지해야 품질이 높아지므로 재배관리가 중요하다. 흰가루병에는 저항성이 있으나 시들음병과 탄저병에는 약하고 당도와 경도가 높고, 향이 매우 진하다. 식물공장에서 매우 인기가 있는데 안정된 꽃대발생과 대과, 고당도와 함께 수술의 화분량이 많아 수정이 잘되는 특성으로 식물공장 사업이 확장되고 있는 중동나라에서도 로열티 계약(UAE 등)이 예정되어 있다. 1년 연중 개화되고 착과되는 특성으로 가정에서 기르는 반려식물로도 인기가 있다. 또한 아열대 고랭지대는 항상 서늘한 날씨이기 때문에 한번 정식후 1년 연중생산이 가능하여 2023년 베트남과 로열티 계약(1.6억원)을 하였다. 또한 '고슬'은 우리나라 신선딸기 수출 단경기에 생산되어 주년생산 수출체계에도 기여할 것으로 본다.