The limitation in deriving the species richness representing the entire country of South Korea lies in its relatively short history of species field observations and the scattered observation data, which has been collected by various organizations in different fields. In this study, a comprehensive compilation of the observation data for plants held by agencies under the Ministry of Environment was conducted, enabling the construction of a time series dataset spanning over 100 years. The data integration was carried out using minimal criteria such as species name, observed location, and time (year) followed by data verification and correction processes. Based on the integrated plant species data, the comprehensive collection of plant species in South Korea has occurred predominantly since 2000, and the number of plant species explored through these surveys appears to be converging recently. The collection of species survey data necessary for deriving national-level biodiversity information has recently begun to meet the necessary conditions. Applying the Chao 2 method, the species richness of indigenous plants estimated at 3,182.6 for the 70-year period since 1951. A minimum cumulative period of 7 years is required for this estimation. This plant species richness from this study can be a baseline to study future changes in species richness in South Korea. Moreover, the integrated data with the estimation method for species richness used in this study appears to be applicable to derive regional biodiversity indices such as for local government units as well.

The Lepidoptera - moths, butterflies, and skippers, is one of the three most species-rich, studied, diverse, and widely distributed insect orders, with over 157,424 species worldwide (van Nieukerken et al., 2011). Moths and butterflies serve as valuable indicator species for monitoring climate change. Conversely, the distribution of lepidoptera is actively and interactively influenced by changes in climate and land cover (Warren et al., 2001). Over the last five years, there are many oriental moth species, such as genus Stictane, Siccia, Philenora, Ammatho, Asota, etc., have been newly recorded in Korea, since other new records are very likely yet to be discovered in this country and nearby.

본 연구는 설악산 지역 남교리에서 대청봉에 이르는 구간의 고도별 식물 종풍부도 패턴 및 이러한 패턴에 영향을 미치는 요인으로서 기후 및 지형인자의 상대적 중요성을 구명하기 위해 수행되었다. 식생 조사 결과, 남교리에서 대청봉에 이르는 구간에서 총 71과, 147속, 211종의 식물이 관찰되었으며, 이 가운데 목본식물은 91종(43%), 초본식물은 120종(57%)이 관찰되었다. 고도가 증가함에 따라 목본식물의 풍부도는 감소하는 패턴을 나타낸 반면, 초본식물의 풍부도는 증가하는 패턴을 보였다. 이러한 분포 패턴을 설명하는 요인들에 대한 회귀분석 결과, 목본 및 초본식물의 종풍부도는 기후 및 지형인자 모두에 의해 제어됨을 알 수 있었다. 그러나 변이분할을 통해 두 인자들 사이의 상대적 중요성을 분석한 결과, 목본식물의 풍부도는 기후인자가, 초본식물의 풍부도는 지형인자가 더 중요한 영향을 미치는 것으로 나타났다. 본 연구는 소규모 공간 수준에서의 고도에 따른 식물종의 풍부도 패턴과 그 제어인자는 목본 및 초본식물 사이에 다를 수 있다는 것을 나타낸다.

Araneae species are predators in natural ecosystem interact with various prey species. These linkage can be affected under climate change because species react not just individually but systematically. We focused on potential impact of climate change in Araneae fauna in national scale. In this study, potential species richness of Araneae in South Korea was predicted with MaxEnt (Maximum Entropy) model. Korea Forest Research Institute conducted national scale research of wandering arthropods. They monitored in uniformly set 366 points, and the data contain exact GPS points of study sites. Occurrence data were extracted from Prediction of Distribution and Abundance of Forest Spiders According to Climate Scenario (Korea Forest Research Institute, 2013). With the report, dominant 21 Araneae species that appeared more than 10% study sites were selected to estimate species richness. Training climate data were prepared from observation source of Korea Meteorological Administration. RCP 8.5 scenario data which represent future (2050, 2070) climate condition were downloaded from WORLDCLIM web site. In MaxEnt simulation, occurrence data for 21 species and 19 bioclimatic variables were used. Because the model outputs are expressed in index, the minimum training presence threshold rule was applied to distinguish presence/absence of each 21 species distribution model. We overlaid whole 21 thresholded output to get species richness map. The fluctuation between current and future species richness was calculated to observe changing trend in national scale. The results of Araneae fauna tends to move higher altitude and latitude. Species richness of lowlands is predicted to be diminished, but higher mountains are expected to be more suitable for many spider species. In some South Western coastal areas showed reduced richness in 2050 but will recover in 2070.

In order to get basic data for flood plain restoration, we surveyed the woody vegetation in Korean natural rivers and analyzed the species' characteristics with regards to patterns of richness and diversity. These characteristics were higher in hard wood forests than those in soft wood forests, such as Salix spp. community. Futhermore, they were the highest in the Prunus sargentii-Pinus densiflora community(H' 1.095), and the lowest in the Carpinus laxiflora community(H' 0.118) among the hard wood forests. Species' richness diversity were the highest in the Salix gracilistyla community, but the lowest in the S. koriyangi community or S. koreensis community among the soft wood forests. With regards to the dominant index, just one community is over 0.9, 13 communities are between 0.3-0.7 and 15 communities are less than 0.3. The Salix koreensis community was the highest at 0.931, and Prunus sargentii-Pinus densiflora community was the lowest at 0.13. Species' richness and diversity was significantly correlated with tree layer coverages and degree of slope. These results mean that in order to increase plant species diversity in flood plains planted hard woody trees, such as oaks and fir, are needed to suit environmental conditions with steeper slope and lower canopy coverage.

We created species richness maps of mammals, birds and plants using "Nnational Ecosystem Survey" data and identified correlations between species richness maps of each taxa. We examine the distribution of species richness of each taxa and calculated conservation priority rank through plotting species-area curves using an additive benefit function in Zonation. The conclusions of this study are as follows. First, plant showed high species richness in Gangwon province and Baekdudaegan, and mammals showed high species richness at eastern slope of Baekdudaegan in Gangwon province unusually and the species richness of mammals distributed equally except Gyeonggi and Chungnam province. However, birds showed high species richness in the west costal because the area is the major route of winter migratory birds. Second, correlation of each taxa’s distribution is not significant. Correlation between mammals and birds is positive but correlations between birds and others are negative. Because mammals inhabit in forest but birds mostly live in coastal wetlands and rivers. Therefore, bird’s habitats are not shared with other habitats. Third, the probability of mammals occurrence is very low under 25% in species-area curve, others increase proportionally to area. Birds increase dramatically richness at 10% because bird's habitat is concentrated in coastal wetlands and rivers. Plants increased gently species richness due to large forest in Gangwon province. We can calculate the predicted number of species in curves and plan various conservation strategies using the marginal number of species. Finally, high priority ranks for conservation distributed mainly in Gangwon province and Baekdudaegan. When we compared with priority map and terrestrial national parks, the parks were evaluated as high priority ranks. However, the rank of parks away from Baekdudaegan was low. This study has the meaning of selecting conservation priority area using National Ecosystem Survey. In spite of the omission of survey data in national parks and Baekdudaegan, the results were good. Therefore, the priority rank method using species distribution models is useful to selecting protected areas and improving conservation plans. However, it is needed to select protected areas considering various evaluation factors, such as rarity, connectivity, representativeness, focal species and so on because there is a limit to select protected area only using species richness.

The experiments were conducted from April, 2010 to July, 2011 to explore the species richness of fruit fly and to observe the incidence of Bactrocera species by using Methyl Eugenol trap. In the first experiment, 11 species such as Bactrocera arecae, B. carambolae, B. dorsali, B. kandiensis, B. latilineola, B. malaysiensis, B. neocognata, B. raiensis, B. verbascifoliae, B. correcta and Carpomya pardalina were recorded. All species except Carpomya pardalina were observed in mango. Eight species in guava and five species in jujube were recorded. Bactrocera dorsalis was found to be the most abundant in mango and guava, and B. correcta in jujube. During the second experimental period, the experimental area can be recorded as an infested area because index of fruit fly population captured in traps, FTD (flies/trap/day), was seven. The highest population (437 flies/trap/week) was observed on May 26 in mango orchard. The number of fruit flies was observed to be significant positive correlation with weekly rainfall (R2 = 0.67 in mango, R2 = 0. 34 in guava and R2 = 0.43 in jujube) and relative humidity (R2 = 0.65 in mango), and negative correlation with mean temperature (R2 = 0.72 in mango) and sunshine hour (R2 = 0.61 in mango and R2 = 0.33 in jujube).

The effect of altitude and latitude on biodiversity (or species richness) has been a topic of great interest for many biogeographers for a long time. This study was conducted to examine the dynamics of species richness of aquatic insects along the altitudinal gradient in 24 wetlands on Mt. Halla, Jeju and test the Rapoport’s rule. The species richness of aquatic insects monotonically decreased with increasing altitude, showing a significant inverse correlation (r = -0.64). However, the pattern of species richness with altitude showed a hump-shaped relationship, with a peak in species richness at intermediate elevations when the effects of area were removed. The altitudinal range of species tended to increase with increasing altitude, as Rapoport’s rule predicts. There was a positive correlation between the altitudinal range size and the midpoint of the range size (Median) except for Hemiptera (Odonata: r = 0.75, Hemiptera: r = -0.22, Coleoptera: r = 0.72, Total: r = 0.55). Also, the extent of average altitudinal range of high-altitude species was 904.3m, and it was significantly wider than a 469.5m of low-altitude species. Consequently, the species richness of aquatic insects in wetlands on Mt. Halla along the altitudinal gradient well supported Rapoport’s rule.

Species richness (number of species) of the butterfly community in the Gwangneung forest, Korea, was estimated using data of the long-term butterfly monitoring, which had been carried out 291 times in the Korea National Arboretum or forest area of Gwangneung from 1998 to 2008. Abundance of each butterfly species was monitored using the line-transact method. In the present study, 13,333 butterflies belonging to 112 species were observed. Species accumulation curve and species richness was obtained using a software, EstimateS. The species accumulation curve shows an increase tendency even at 291 survey times, implying the possibility of the presence of a few unfound species. However, values of species richness estimated by the seven estimators were stabilized around 240-250 survey times. Species richness estimated by the estimators ranged from 120 species to 141 species with 128 species in average. However, the figure estimated by the previous studies since 1958 was 148 species. We estimated the reasonable scale of species richness on the base of recent analysis on the change of butterfly species. Species richness of the Korea National Arboretum was higher than that of natural forest and of plantation. However, species richness of butterfly was not different between natural forest and plantation. It is likely that increase of grasslands and habitat diversity in arboretum led to the increase of species richness of butterfly community.

본 연구에서는 1990~2005년 사이에 일본전국의 109개의 주요하천유역에서 조사된 어류, 식물, 조류 데이터를 이용하여, 각 생물종의 종수와 기후 및 지형의 환경인자와의 관계를 분석하고 모델링을 수행하였다. 그 결과, 어류, 식물, 조류의 분포는 각각 연평균 기온, 유역면적, 연간 강수량에 의해서 가장 많은 부분이 설명되었다. 또한, 광범위 스케일에서의 환경인자데이터를 이용한 각 생물종에 대한 일반화가법모델을 이용하여 일본전국의 하천유역의 각 생물 종수의 값을 예측하고 그 값을 지도화하였다. 예측값을 지도화하는 것은 관리자가 생물종의 다양성을 확보하기 위해서 보호해야할 지역을 새롭게 설정하거나, 생물다양성 보호지역의 유효성을 평가하는데 활용될 수 있다.

목포 유달산에서의 나비 종 구성과 개체군 변동을 알아보기 위하여 2001년 5월부터 2002년 4월까지 1년 동안 유달산을 4개의 지점으로 나누어 나비를 채집하였다. 그 결과 40종의 나비종이 분포하고 있는 것을 확인할 수 있었다. 각 지점별 나비 개체군 변동을 관찰한 결과 고. E 가 낮을수록 종 수와 개체군 수가 증가함을 볼 수 있었다. 조사기간 동안 월별 종 수 변동은 M-자형을 나타내는 반면 월별 개체수 변동은 8월에 가장 높은 피크를 보이는 곡

전통민속식물지식이 빠르게 사라져 가는 상황에서 전통식물 지식에 대한 기초조사를 통한 기록이 매우 중요한 과제가 되었다. 민속식물학 조사에서 조사강도와 민속식물정보, 식물종 정보의 증가에 관련성은 가장 중요한 과제이다. 본 연구에서는 국 립수목원에서 발간된 자료를 이용하여 한반도 민속식물에 대한 메타 데이터를 DB화하여 분석하였다. 전통민속식물지식의 종 풍부도에 추정은 ACE, Chao1, Chao 2, ICE, Jack 1, Jack 2, Bootstrap 등의 추정식을 이용하여 제시하였다. 종누적곡선 분석에서 지역별 종누적이 다른 양상을 보여 강원도의 누적곡선 은 상대적 샘플링 노력이 더 필요하며 충남 지역의 경우 조사 강도에 비해 일찍 수평선에 점근하는 특성을 보여 이지역의 조사 강도가 실제 정보량의 증가에 비해 높았다. 식용, 약용, 공예용 등의 종풍부도는 남녀간의 지식이 분포가 차이가 있음을 확인 하였다. 주변환경의 식물상과 비교분석을 통해 일부 지역의 경우 민속식물조사가 상대적으로 조사량이 부족하고 추가 조사시 더 다양한 종이 발굴 될 것으로 예상된다.