• Korean Journal of Environment and Ecology
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• v.32 no.1
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• pp.39-46
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• 2018

Breeding bird surveys provide the reference information for understanding bird community structure and function in the ecosystem and conserving biodiversity. Recent rapid change of biodiversity due to climate change and other factors has made it necessary to utilize acoustic sensors for accuracy and spatial expansion of forest bird survey data and for time-series monitoring of forest birds. The objective of this study is to investigate the possibility of using acoustic recording sensor to evaluate the diversity of forest birds at breeding season by comparing and analyzing the recorded data of bird songs and field bird survey data. We conducted the site survey and recording in 186 points in 48 areas of 4 regions of Gombaeryeong and Jochimryeong around Jeombongsan Mountain and Jugryeong and Gochiryeong around Sobaeksan Mountain from May 2nd to 16th in 2013. The analysis of the correlation between the recording result and Bird Community Index based on the field survey showed that the number of bird species, population, and the number of bird songs by recording was significantly correlated to the number of species and population by field survey. Moreover, the number of bird species and the number of bird songs by recording showed a significant correlation to species diversity and species richness but no or low significant correlation to species evenness by the field study (observation and listing in parallel). As a result, it was possible to check species composition and species diversity of bird communities by analyzing acoustic recording data on the field. The acoustic recordings of bird songs in the breeding period were more reliable than the non-breeding period in the correlation of recording result and species diversity and for utilization.

• Journal of KIISE:Software and Applications
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• v.32 no.12
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• pp.1229-1237
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• 2005

Combining multiple classifiers has been actively exploited to improve classification performance. It is required to construct a pool of accurate and diverse base classifier for obtaining a good ensemble classifier. Conventionally ensemble learning techniques such as bagging and boosting have been used and the diversify of base classifiers for the training set has been estimated, but there are some limitations in classifying gene expression profiles since only a few training samples are available. This paper proposes an ensemble technique that analyzes the diversity of classification rules obtained by genetic programming. Genetic programming generates interpretable rules, and a sample is classified by combining the most diverse set of rules. We have applied the proposed method to cancer classification with gene expression profiles. Experiments on lymphoma cancer dataset, prostate cancer dataset and ovarian cancer dataset have illustrated the usefulness of the proposed method. h higher classification accuracy has been obtained with the proposed method than without considering diversity. It has been also confirmed that the diversity increases classification performance.

• Korean Journal of Environmental Biology
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• v.30 no.3
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• pp.185-192
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• 2012

We investigated butterfly species diversity on nineteen uninhabited islands around Imja-myeon, Shinan-gun, Jeonnam, Korea. A total of 14 species belong to 5 families were identified. Species of Papilionidae were the most abundant with 5 species, followed by Lycaenidae (4 species). A Lycaenid butterfly, Pseudozizeeria maha (Kollar), was the most dominant species on the surveyed islands. The total number of species was the highest at island Daenorokdo (6 species). To investigate the factors that determine butterfly diversity, we analyzed the relationships between number of species and island area, distance from the largest island nearby, and maximum elevation. We found that island area ($R^2$=0.413, p=0.003) was significantly correlated with butterfly diversity, but other variables such as distance from the largest island nearby and maximum elevation were not correlated.

• Proceedings of the Plant Resources Society of Korea Conference
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• 2023.04a
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• pp.27-27
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• 2023

최근 기후위기 등으로 인해 생물다양성 감소 우려가 높아지고 있으며, 식물유전자원 보존의 강화를 위해 수많은 국제협약이 체결되고 있다. 자국의 생물다양성을 보호하고, 전 세계의 기후위기 취약식물의 보존을 위해 대한민국 산림청은 세계 최초로 지하터널형 야생식물종자 영구저장시설인 '시드볼트(Seed Vault)'를 경상북도 봉화에 설립하였다. 시드볼트는 안전한 종자의 저장을 위해 온도 -20℃, 습도 RH 40% 이하를 유지하며, 환경 변화를 최소화하기 위해 매일 시설 점검을 진행하고 있다. 시드볼트의 미션은 '기후위기 대응 생물다양성 확보'이며, 전 세계 종자저장의 선도기관으로 2022년 12월 기준으로 5,424종 192,625점을 확보하였으며, 2030년까지 1만 종 30만 점을 목표로 하고 있다. 전 세계 식물 종의 보호를 위해 국제기구와 협력하고 있으나, 해외 종자의 저장이 더욱 강화되어야 하며, 향후 시드볼트 종자저장 네트워크 구축에 참고하기 위한 해외 사례를 조사하였다. 아시아에서는 중국이 다량의 식물종을 수집하고 있으나, 해당 자료에 대한 공개는 이루어지지 않고 있으며, 일본은 농업식량 식물자원 중심으로 종자를 보존하고 있으며, 태국, 대만, 싱가포르 및 몽골 및 중앙아시아 국가의 종자수집과 보존은 근래 확대되는 추세이다. FAO의 Plant Genetic Resources for Food And Agriculture 관련 수집 자료에 따르면, 아시아지역 25개 국가에서 984,019점의 식물유전자원을 보고하였다. 본 연구를 바탕으로 아시아지역의 종자보존 네트워크를 구축하여 해외 종자의 안전한 저장을 통해 아시아 야생식물자원 다양성 보전 가치를 통합하는 시설로 성장하고자 한다.

• Korean Journal of Environmental Biology
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• v.33 no.1
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• pp.45-52
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• 2015

Acute toxicity tests for 5 organic solvents were conducted using Euglena agilis carter (E. agilis), a Korean domestic organism. Organic solvents decreased the growth rate of E. agilis in a dose dependent manner. The toxicity to E. agilis was increased in the order of chloroform>acetone${\geq}$ethanol${\geq}$methanol>DMSO based on $EC_{50}$ values from growth test. Organic solvents also induced cell motility and morphological changes of E. agilis. Especially significant effects on the cell swimming velocity, motility, and compactness were observed for chloroform at the concentration of $EC_{50}$ calculated from 96 hr growth test. Overall, toxic responses of E. agilis to test substances are comparable to or more sensitive than D. magna, M. macrocopa and V. fischeri. Our study demonstrates that E. agilis can be a putative ecotoxicity test model organism to assess domestic water quality. Results obtained from this study can be applied to establish the standard test guidelines for ecotoxicity test using E. agilis.

• Journal of Life Science
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• v.18 no.4
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• pp.435-440
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• 2008

Random amplified polymorphic DNA (RAPD) markers were used to identify the genetic diversities among and within varieties and landraces of Rehmannia glutinosa. Polymorphic and reproducible bands were produced by 10 primers out of total 20 primers used in the experiment. In RAPD analysis of the 11 genotypes, 64 fragments out of 73 amplified genomic DNA fragments were polymorphic which represented an average 6.4 polymorphic fragments per primer. Number of amplified fragments with random primers ranged from 2 (OPA-1) to 13 (OPA-11) and varied in size from 200 bp to 1,400 bp. Especially, OPA-10, OPA-11 and OPA-19 primers showed specific bands for varieties of Korea Jiwhang and Jiwhang il ho, which could be useful for discriminating from other varieties and landraces of R. glutinosa. Percentage polymorphism ranged from a minimum of 50% (OPA-1) to a maximum of 100% (OPA-11), with an average of 87.7%. Similarity coefficients were higher in the genotypes of Korea Jiwhang and Jiwhang il ho than in other populations. In cluster analysis, genotypes of Korea Jiwhang, Jiwhang il ho, and Japanese accession were separated from those of other varieties and landraces. Average of genetic diversity within the population $(H_S)$ was 0.110, while average of total genetic diversity $(H_T)$ was 0.229. Across all RAPD makers the $G_{ST}$ value was 0.517, indicating that about 52% of the total genetic variation could be explained by RAPDs differences while the remaining 48% might be attributable to differences among samples. Consequently, RAPD analysis was useful method to discriminate different populations such as domestic varieties and other landraces. The results of the present study will be used to understand the population and evolutionary genetics of R. gllutinosa.

• Korean Journal of Ecology and Environment
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• v.52 no.3
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• pp.274-283
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• 2019

Beta diversity is an efficient means of assessing the spatial variation in community composition among sites. To present fish community variation and LCBD (Local Contribution to Beta Diversity) among sites in stream, 6 sampling sites were selected in Cheonggye stream. Fish communities, environmental and habitat variables were collected at sites from April 2014 to October 2015. We used the total variance of the fish community data table (site-by-species community table) based on different forms, presence-absence, abundance, and Hellinger transformation, to estimate and compare beta diversity and LCBD. Fish community data table transformed by Hellinger distance showed the higher values of beta diversity than presence-absence and abundance data table. A similar patterns of LCBD were observed with presence-absence and Hellinger transformed data table. Low value of beta diversity calculated by community data table with abundance was due to the non-normality of fish assemblage data. Additionally, correlation coefficients were calculated to evaluate the relationships among LCBD, community indices and physicochemical variables. LCBD showed negative correlation coefficients with Shannon diversity. Overall, application of beta diversity analysis is an efficient method of addressing spatial variation of fish communities and ecological uniqueness of the sites in stream.

• Journal of Applied Biological Chemistry
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• v.65 no.4
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• pp.343-348
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• 2022

This study was performed to establish an analytical method for the standardization of Angelicae Dahuricae Radix as a functional ingredient. We established six compounds including oxypeucedanin hydrate (1), byakangelcol (2), oxypeucedanin (3), imperatorin (4), phellopterin (5) and isoimperatorin (6) as marker compounds of Angelicae Dahuricae Radix. An analytical method using Ultra Performance Liquid Chromatography (UPLC) was established and validated for marker compounds of Angelicae Dahuricae Radix. The specificity was confirmed by the chromatogram from UPLC and the value of coefficient determination was also higher than 0.999, indicating high linearity. The relative standard deviation (RSD) and recovery of marker compounds were less than 5% and in the range of 90- 110%, respectively, which means that this method has high accuracy and precision. Therefore, this analytical method could be used as basic data for the development of functional ingredients for health functional food of Angelicae Dahuricae Radix.

• Korean Journal of Plant Resources
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• v.14 no.2
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• pp.157-162
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• 2001

Korean native Orostachys species collected from 22 regions investigated morphological characters.O. japonicus species(No.3∼No.9) were similar leaf morphology and characterized by lanceolate leaves, cuspidate leaf apex.O. malacophyllus species(No.12∼No. 17) were morphologically characterized by obovate leaves and acute leaf apex. This species could be differentiate from other species by no thorn and leaf outlines formed by densely populated red dots.O. iwarenge species(No.18∼No.22) were diversified, such as obovate and elliptical leaves with acute, obtuse and round leaf apices. However, this species could be differentiate from other species bl'no thorn and grey powdery green colored leaves. Species collected from Maemuldo(No. 10) and Pocheon(No. 11) was assumed that these 2 species could be the new species which were not named classified.

• Korean Journal of Environmental Biology
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• v.18 no.2
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• pp.237-246
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• 2000

The equilibrium theory of island biogeography describes that the number of species on an island is determined by two factors, island area and distance from mainland acting through extinction and immigration rates. I was analysed the relationships between species number and island area, latitude, and maximum elevation for butterflies on 71 islands in the Korean Peninsula. Among Korean islands, island area ($r^2$=0.405, P< 0.005) and habitat diversity ($r^2$=0.341, P<0.005) were significantly correlated, but distance from mainland ($r^2$=0.018, P>0.05) and latitude ($r^2$=0.040, P>0.05) were weakly correlated. The present and earlier studies on the butterfly species richness in Korean islands demonstrate that the butterfly fauna is closely related to the ecological variables, i.e., area, composition of flora and maximum elevation. [Equilibrium theory, butterfly, island area, latitude, distance from mainland, elevation]