한반도 기후변화 적응 대상 식물 종풍부도 변화 예측 연구

신만석,서창완,이명우,김진용,전자영,프라딥아디카리,홍승범 한국환경영향평가학회 2018 환경영향평가 Vol.27 No.6

This study was designed to predict the changes in species richness of plants under the climate change in South Korea. The target species were selected based on the Plants Adaptable to Climate Change in the Korean Peninsula. Altogether, 89 species including 23 native plants, 30 northern plants, and 36 southern plants. We used the Species Distribution Model to predict the potential habitat of individual species under the climate change. We applied ten single-model algorithms and the pre-evaluation weighted ensemble method. And then, species richness was derived from the results of individual species. Two representative concentration pathways (RCP 4.5 and RCP 8.5) were used to simulate the species richness of plants in 2050 and 2070. The current species richness was predicted to be high in the national parks located in the Baekdudaegan mountain range in Gangwon Province and islands of the South Sea. The future species richness was predicted to be lower in the national park and the Baekdudaegan mountain range in Gangwon Province and to be higher for southern coastal regions. The average value of the current species richness showed that the national park area was higher than the whole area of South Korea. However, predicted species richness were not the difference between the national park area and the whole area of South Korea. The difference between current and future species richness of plants could be the disappearance of a large number of native and northern plants from South Korea. The additional reason could be the expansion of potential habitat of southern plants under climate change. However, if species dispersal to a suitable habitat was not achieved, the species richness will be reduced drastically. The results were different depending on whether species were dispersed or not. This study will be useful for the conservation planning, establishment of the protected area, restoration of biological species and strategies for adaptation of climate change. 본 연구는 한반도 기후변화 적응 대상식물을 대상으로 기후변화에 따른 종풍부도 변화를 예측해보고자 하였다. 대상종은 한반도 기후변화 적응 대상식물 중에서 특산식물 23종, 북방계식물 30종 그리고 남방계식물 36종으로 총 89종을 선정하였다. 기후변화에 따른 개별 종의 잠재서식지를 예측하여 합산하는 방식으로 종풍부도 변화를 예측하였다. 개별 종의 잠재서식지는 10개의 종분포모형 알고리즘을 함께 고려하는 앙상블모형을 구축하였다. 미래 예측 시기는 기후변화 시나리오 RCP4.5와 RCP8.5를 선정하여 2050년과 2070년을 예측하였다. 현재의 종풍부도는 국립공원, 강원도 백두대간 지역 그리고 남해도서지역을 중심으로 높게 나타났다. 미래 예측 결과, 기존에 높은 종풍부도를 보였던 국립공원과 강원도백두대간 지역은 낮아졌고 남해안 내륙지역은 보다 더 높아졌다. 종풍부도의 평균값을 비교해 보면 현재기준으로 국립공원 지역이 남한 전체지역보다 높으면서 큰 차이를 보였다. 하지만 기후변화에 따라서 국립공원 지역과 남한 전체지역의 차이가 줄어들었다. 특산식물과 북방계식물의 다수가 남한지역에서 사라지고 남방계식물이 북상하면서 이와 같은 결과를 보였다. 하지만 적합한 서식지로 이주가 이루어지지 않으면 종풍부도가 급격하게 감소하였다. 분산가능성의 가정에 따라 결과가 다르게 나타났다. 본 연구의 결과는 보전 계획 수립, 보호 지역 설정, 생물종 복원 그리고 기후변화 대응 전략 및 관리 방안 등에 활용될수 있을 것으로 판단된다.

Variation of Medicinal Plants Species Richness along Vertical Gradient in Makawanpur District, Nepal

Damodar Gaire,Lichun Jiang,Vijay Kumar Yadav,Jit Narayan Shah,Sunita Dhungana,Anju Upadhyaya,Shiv Kumar Manjan,Binod Kumar Heyojoo 강원대학교 산림과학연구소 2021 Journal of Forest Science Vol.37 No.2

The research attempted to analyze the medicinal plant species richness in the vertical gradient from lower to the highest elevation of Makawanpur, focusing on the relationship between species richness and elevation which is very important for conservation and management of species diversity. Inventory was carried out in the study area by taking sampling intensity of 0.5% in the effective area. Altogether, 42 sample plots were laid in the field with the help of GIS software maintaining 50 m altitude difference. High species diversity was found in the herbs species whereas shrubs have comparatively low species diversity. The maximum species richness is found in herbs and poles whereas shrubs and trees have relatively low species richness. Research showed that species richness of medicinal plants increased with altitudinal gradient. While analyzing the species richness from 350 to 2,550 m (msl), the highest species richness was received with the elevation ranges from 1,800 m to 2,300 m. There was a positive relationship between species richness and altitudinal gradient in the study area. In addition, we have recorded the high value medicinal plants after 1,800 m altitude and rarely within 1,000 m. Medicinal plants correlated both positive and negative relationships with the increased altitude. The altitudinal response has positively seen except density (n/ha) of Shrubs. Domestication and cultivation of high value medicinal plants should be promoted in community forest including private lands. Training, workshops and awareness programs should be conducted to make people aware about medicinal plants resource utilization, conservation and commercialization of available medicinal plants.

Predicting species richness changes in 21 dominant Araneae (Arachnida) species under climate change scenario in Korea

Jinsol Hong,Hyoung-ho Mo,Kijong Cho 한국응용곤충학회 2015 한국응용곤충학회 학술대회논문집 Vol.2015 No.04

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.

강우유출수 침투필터의 폐색 예측을 위한 딥러닝 모델 개발

이병식(Byung-Sik Lee) 한국산학기술학회 2021 한국산학기술학회논문지 Vol.22 No.9

필터폐색은 강우유출수 침투시설 기능저하의 주된 요인이다. 침투시설의 수명예측과 효율적인 유지관리를 위해서는 폐색도의 명확한 예측이 필수적으로 요구된다. 폐색현상을 조사하기 위한 시험연구들이 꾸준히 수행되어 왔다. 시험연구 결과에 근거하여 폐색예측을 위한 시험모델들이 제안되어 왔다. 시험모델 개발에는 적지 않은 시간과 비용이 소요된다. 따라서 시험모델을 보완하기 위해 다양한 이론모델의 적용이 시도되었다. 하지만 제안된 이론모델을 적용함에 있어서 문제점이 상존한다. 일반적으로 결정하기 힘든 많은 수의 자료 입력이 요구된다. 또한 많은 경우에 얻은 결과의 신뢰도도 낮다. 최근에는 여러 분야에서 기존 이론모델을 대체하는 데이터 기반 모델 개발을 위해 딥러닝 기법을 적용하고 있다. 개발된 딥러닝 모델들은 기존 이론모델의 단점을 보완할 수 있을 것으로 기대된다. 이 논문에서는 장단기기억순환신경망(LSTM-RNN : Long Short Term Memory - Recurrent Neural Network)을 이용하여 강우유출수 침투시설의 폐색을 추정하는 모델을 개발하였다. 침투시험 결과에 대한 훈련 및 검증을 통해 개발된 모델의 실용 가능성을 실증하였다. 결과에 근거하여 폐색 데이터 축적과 적용성이 기대되는 딥러닝 기법을 필터폐색 모델에 적용하기 위한 지속적인 연구를 제안할 수 있었다. Filter clogging is a major problem resulting in the failure of a stormwater infiltration system. Definite knowledge about the degree of clogging is essential to plan effective maintenance and estimate the lifespan of the facility. Experimental studies have been conducted continuously to investigate clogging phenomena. Based on experiment results, experimental models to estimate clogging have been suggested. A relatively long period and high cost are required to develop experimental models. Thus, the applications of various theoretical models have been attempted to supplement experimental models. On the other hand, problems have limited the applications of the suggested theoretical models. A large number of difficult-to-determine inputs are usually required. Therefore, the obtained results are not confident. Deep learning techniques have recently been applied to develop new data-driven models replacing conventional models in various fields. The developed deep learning models are expected to exclude the shortcomings of theoretical models. The LSTM-RNN (Long Short Term Memory-Recurrent Neural Network) model was developed to estimate the clogging of stormwater infiltration systems. The applicability of the model was validated by implementing the model train and evaluation by the experimental infiltration test results. As a result, ongoing studies could be suggested to accumulate clogging data and apply promising deep learning algorithms to clogging models.

Potential impact of climate change on the species richness of subalpine plant species in the mountain national parks of South Korea

Adhikari, Pradeep,Shin, Man-Seok,Jeon, Ja-Young,Kim, Hyun Woo,Hong, Seungbum,Seo, Changwan The Ecological Society of Korea 2018 Journal of Ecology and Environment Vol.42 No.4

Background: Subalpine ecosystems at high altitudes and latitudes are particularly sensitive to climate change. In South Korea, the prediction of the species richness of subalpine plant species under future climate change is not well studied. Thus, this study aims to assess the potential impact of climate change on species richness of subalpine plant species (14 species) in the 17 mountain national parks (MNPs) of South Korea under climate change scenarios' representative concentration pathways (RCP) 4.5 and RCP 8.5 using maximum entropy (MaxEnt) and Migclim for the years 2050 and 2070. Results: Altogether, 723 species occurrence points of 14 species and six selected variables were used in modeling. The models developed for all species showed excellent performance (AUC > 0.89 and TSS > 0.70). The results predicted a significant loss of species richness in all MNPs. Under RCP 4.5, the range of reduction was predicted to be 15.38-94.02% by 2050 and 21.42-96.64% by 2070. Similarly, under RCP 8.5, it will decline 15.38-97.9% by 2050 and 23.07-100% by 2070. The reduction was relatively high in the MNPs located in the central regions (Songnisan and Gyeryongsan), eastern region (Juwangsan), and southern regions (Mudeungsan, Wolchulsan, Hallasan, and Jirisan) compared to the northern and northeastern regions (Odaesan, Seoraksan, Chiaksan, and Taebaeksan). Conclusions: This result indicates that the MNPs at low altitudes and latitudes have a large effect on the climate change in subalpine plant species. This study suggested that subalpine species are highly threatened due to climate change and that immediate actions are required to conserve subalpine species and to minimize the effect of climate change.

Potential impact of climate change on the species richness of subalpine plant species in the mountain national parks of South Korea

Pradeep Adhikari,신만석,전자영,김현우,홍승범,서창완 한국생태학회 2018 Journal of Ecology and Environment Vol.42 No.4

Background: Subalpine ecosystems at high altitudes and latitudes are particularly sensitive to climate change. In South Korea, the prediction of the species richness of subalpine plant species under future climate change is not well studied. Thus, this study aims to assess the potential impact of climate change on species richness of subalpine plant species (14 species) in the 17 mountain national parks (MNPs) of South Korea under climate change scenarios’ representative concentration pathways (RCP) 4.5 and RCP 8.5 using maximum entropy (MaxEnt) and Migclim for the years 2050 and 2070. Results: Altogether, 723 species occurrence points of 14 species and six selected variables were used in modeling. The models developed for all species showed excellent performance (AUC > 0.89 and TSS > 0.70). The results predicted a significant loss of species richness in all MNPs. Under RCP 4.5, the range of reduction was predicted to be 15.38–94.02% by 2050 and 21.42–96.64% by 2070. Similarly, under RCP 8.5, it will decline 15.38–97.9% by 2050 and 23.07–100% by 2070. The reduction was relatively high in the MNPs located in the central regions (Songnisan and Gyeryongsan), eastern region (Juwangsan), and southern regions (Mudeungsan, Wolchulsan, Hallasan, and Jirisan) compared to the northern and northeastern regions (Odaesan, Seoraksan, Chiaksan, and Taebaeksan). Conclusions: This result indicates that the MNPs at low altitudes and latitudes have a large effect on the climate change in subalpine plant species. This study suggested that subalpine species are highly threatened due to climate change and that immediate actions are required to conserve subalpine species and to minimize the effect of climate change.

Species richness of sawfly–host plant associations at higher taxonomic levels

Yuichi Isaka,Toshiyuki SATO 한국곤충학회 2015 Entomological Research Vol.45 No.6

Insect–plant interactions are important to understanding the evolutionary mechanisms responsible for most of the diverse plant‐feeding insects. We aggregated data on sawfly–host plant associations and other resource associations from existing sources to address the following questions: (i) Is there a general correlation between host diversity and sawfly species richness? (ii) Is the pattern of host plant use consistent across sawfly lineages? and (iii) Is there a phylogenetically significant shift in species richness among sawflies? Our analysis comprised 8567 sawfly species, including 2087 species with host plant and other records. In total, there were 2126 records of host usage for sawflies, the overwhelming majority of which were sawflies using angiosperms as resources. Rosales are used by most of the species in sawfly families or subfamilies. We found that there was a strong correlation between the number of host plant orders and the species richness of sawfly families and subfamilies. To examine the points at which sawflies have experienced significant shifts in species richness, we compared sister taxon species richness. Several positive and negative shifts in species richness among sawflies were related to their range of host plant usage and specialized niche, respectively. In general, we found that most of the sawfly families and subfamilies used several orders as host plants, but mainly core eudicots, although some families or subfamilies were specialized on pteridophytes or gymnosperms.

Plant Species Assemblages and Vegetation Composition of Wetlands Within an Upland Forest

허만규,이학영,문성기 한국환경생물학회 2010 환경생물 : 환경생물학회지 Vol.28 No.1

Small wetlands in an upland matrix can support diverse vegetation composition that increase both local and regional species richness. In this study we characterize the full range of wetland vegetation in an upland forest landscape at Dumyeong-ri, Gijang-gun, Busan. This wetland index can be calculated with species data, or with community type data as performed. Classified community types were used to describe vegetation at three wetlands and adjacent areas. The communities contained 28 species of vascular plants and 28 species were identified four plant community types. The Pinus densiflora type was dominated by Pinus densiflora and contained only four species. None of the plots had high proportion of standing water. The Carpinus laxiflora type had high obligate upland species (OU) and facultative upland species (FU). The Rhododendron mucronulatum type grew in over half of the plots included Pinus densiflora and Alnus japonica. Some species bother swampy areas adjacent to site C. The Miscanthus sacchariflorus type consisted of seasonal wetlands. The three sites contained nine species with the strongest indicator species being Miscanthus sinensis var. purpurascens, Miscanthus sinensis, Echinochloa crus-galli, and Sagittaria aginashi. This type had the highest proportions of obligate wetland species. Plant species richness averaged 5.069. Shannon-Weaver index of diversity also varied among the community types (F=22.7, df=4,115), with the types FU having significantly higher value (2.746) than the others (1.057 for type FW and 1.600 for type OU). Regional plans including all of the diverse types of wetland vegetation in upland forests will contribute substantially to the conservation of plant diversity.

Plant Species Assemblages and Vegetation Composition of Wetlands Within an Upland Forest

( Man Kyu Huh ),( Hak Young Lee ),( Sung Gi Moon ) 한국환경생물학회 2010 환경생물 : 환경생물학회지 Vol.28 No.1

Small wetlands in an upland matrix can support diverse vegetation composition that increase both local and regional species richness. In this study we characterize the full range of wetland vegetation in an upland forest landscape at Dumyeong-ri, Gijang-gun, Busan. This wetland index can be calculated with species data, or with community type data as performed. Classified community types were used to describe vegetation at three wetlands and adjacent areas. The communities contained 28 species of vascular plants and 28 species were identified four plant community types. The Pinus densiflora type was dominated by Pinus densiflora and contained only four species. None of the plots had high proportion of standing water. The Carpinus laxiflora type had high obligate upland species (OU) and facultative upland species (FU). The Rhododendron mucronulatum type grew in over half of the plots included Pinus densiflora and Alnus japonica. Some species bother swampy areas adjacent to site C. The Miscanthus sacchariflorus type consisted of seasonal wetlands. The three sites contained nine species with the strongest indicator species being Miscanthus sinensis var. purpurascens, Miscanthus sinensis, Echinochloa crus-galli, and Sagittaria aginashi. This type had the highest proportions of obligate wetland species. Plant species richness averaged 5.069. Shannon-Weaver index of diversity also varied among the community types (F=22.7, df=4, 115), with the types FU having significantly higher value (2.746) than the others (1.057 for type FW and 1.600 for type OU). Regional plans including all of the diverse types of wetland vegetation in upland forests will contribute substantially to the conservation of plant diversity.

Characteristics of Bird Community in Yeongsan Lake

Kim, Seok-Yee,Paek, Woon-Kee,Yu, Jae-Pyoung National Science Museum of Korea 2011 Journal of Korean nature Vol.4 No.2

A total of 4,045 individuals of 47 species were observed in the Yeongsan Lake region of Yeongsan River between January and December of 2009. Dominant species, in decreasing order, included the Fulica atra (24.72%, 1,000 individuals), followed by the Larus ridibundus (17.31%, 700 individuals), Larus crassirostris (13.84%, 560 individuals), Mergus merganser (7.29%, 295 individuals), Passer montanus (6.18%, 250 individuals) and the Aythya fuligula (5.34%, 216 individuals). In terms of the total number of species observed per month, November showed the highest number at 23 species and September showed the lowest figure at 9 species. Furthermore, February showed the highest number of individuals at 2,382, and May showed the lowest number at 114 individuals. In relation to species diversity, May, despite being the month with the lowest bird count, showed the highest number of species as well as the highest level of species diversity (H') at 2.37 and species abundance at (Da) 4.22. Conversely, September, which recorded the lowest number of species observed, showed lowest levels of species diversity (H') at 0.37 and species abundance at (Da) 1.26. In terms of the seasons, summer (between July and September) showed the lowest species diversity, while spring and fall, which are migratory periods for migratory birds, showed high level of species diversity. This study observed 3 government protected species.