A Study on the Application of IUCN Global Ecosystem Typology Using Land Cover Map in Korea (토지피복지도를 활용한 IUCN 생태계유형분류 국내 적용)
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- Korean Journal of Environment and Ecology
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- v.37 no.3
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- pp.209-220
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- 2023
Over the past few centuries, widespread changes to natural ecosystems caused by human activities have severely threatened biodiversity worldwide. Understanding changes in ecosystems is essential to identifying and managing threats to biodiversity. In line with this need, the IUCN Council formed the IUCN Global Ecosystem Typology (GET) in 2019, taking into account the functions and types of ecosystems. The IUCN provides maps of 10 ecosystem groups and 108 ecological functional groups (EFGs) on a global scale. According to the type classification of IUCN GET ecosystems, Korea's ecosystem is classified into 8 types of Realm (level 1), 18 types of Biome (level 2), and 41 types of Group (level 3). GETs provided by IUCN have low resolution and often do not match the actual land status because it was produced globally. This study aimed to increase the accuracy of Korean IUCN GET type classification by using land cover maps and producing maps that reflected the actual situation. To this end, we ① reviewed the Korean GET data system provided by IUCN GET and ② compared and analyzed it with the current situation in Korea. We evaluated the limitations and usability of the GET through the process and then ③ classified Korea's new Get type reflecting the current situation in Korea by using the national data as much as possible. This study classified Korean GETs into 25 types by using land cover maps and existing national data (Territorial realm: 9, Freshwater: 9, Marine-territorial: 5, Terrestrial-freshwater: 1, and Marine-freshwater-territorial: 1). Compared to the existing map, "F3.2 Constructed lacustrine wetlands", "F3.3 Rice paddies", "F3.4 Freshwater aquafarms", and "T7.3 Plantations" showed the largest area reduction in the modified Korean GET. The area of "T2.2 Temperate Forests" showed the largest area increase, and the "MFT1.3 Coastal saltmarshes and reedbeds" and "F2.2 Small permanent freshwater lakes" types also showed an increase in GET area after modification. Through this process, the existing map, in which the sum of all EFGs in the existing GET accounted for 8.33 times the national area, was modified so that the total sum becomes 1.22 times the national area using the land cover map. This study confirmed that the existing EFG, which had small differences by type and low accuracy, was improved and corrected. This study is significant in that it produced a GET map of Korea that met the GET standard using data reflecting the field conditions.
This study looked at the modification of major gardens while making Deoksugung Palace (德壽宮) a park in the Japanese colonial era. This is because landscaping work was carried out in various places from 1932 to 1933 to open Deoksugung Palace, which used to be an imperial palace, as a public recreation space. In particular, major gardens such as the front yard of Seokjojeon Hall (石造殿), the back yard of Hamnyeongjeon Hall (咸寧殿), and the back yard of Jeukjodang Hall (卽阼堂) were greatly transformed into different shapes from the original. During the first phase of construction in 1932, a water tank was installed in Seokjojeon Hall Garden, creating the first water space. This water tank was originally a structure installed in the front yard of Injeongjeon Hall (仁政殿) of Changdeokgung Palace (昌德宮). Around 1909, a water tank installed in the front yard of Injeongjeon Hall was relocated to Seokjojeon Garden in the process of turning Deoksugung Palace into a park. The water tank moved from the front yard of Injeongjeon Hall was a factor that transformed the central area of Seokjojeon Garden into a water space, and a fountain installed to replace the water tank remains to this day. The backyard of Hamnyeongjeon Hall was also renovated into a new shape during the first phase of construction. Originally, there was a terraced flowerbed called Hwagye (花階) in the backyard of Hamyujae Hall (咸有齋) and Hamnyeongjeon Hall, and it was restored from the construction that took place after the Great Fire of Deoksugung Palace. In the process of turning Deoksugung Palace into a park, a three-stage stonework was built in the front yard of Jeonggwanheon Pavilion (靜觀軒) which renovated the Hwagye in the backyard of Hamyujae Hall and Hamnyeongjeon Halll. The stonework built at that time was used as a peony garden to provide visitors with attractions after the opening of Deoksugung Palace, and it remains today with the name Jeonggwanheon's Hwagye. The backyard of the Jeukjodang Hall area is a case of damage in the second phase of construction in 1933. Like the backyard of Hamnyeongjeon Hall, the backyard of Jeukjodang Hall, where the Hwagye was originally built, was converted into a Japanese-style garden in the process of turning Deoksugung Palace into a park. The site where the Hwagye was demolished was decorated with a Japanese-style garden centered on mounding, small roads, and landscaping stones, as well as topographic control and planting work. Although there have been minor changes since liberation, the backyard of the Jeukjodang Hall area is still based on a Japanese-style garden created by turning Deoksugung Palace into a park.
This study was conducted to establish an efficient plant regeneration system in 'Dayu', a Korean variety of Perilla frutescens developed for seed oil production, in conjunction with the previously studied variety 'Namcheon'. The healthiest callus was formed on the hypocotyl explants cultured on a medium containing 0.1 mg/L NAA and 0.5 mg/L BA, outperforming the leaf and cotyledon samples. In both dark and long-day conditions, Dayu consistently exhibited significantly higher shoot regeneration rates compared with Namcheon. The highest shoot regeneration rates in Dayu were observed from the hypocotyl explants cultured on 0.1 mg/L NAA and 0.5 mg/L BA media, with shoot regeneration rates of 84.4% and 86.7% under dark and long-day conditions, respectively. Various combinations of plant growth regulators were tested to establish the optimal shoot regeneration conditions for Dayu hypocotyl explants. The results demonstrated that the highest shoot regeneration rate (90%) was achieved when 0.5 mg/L of BA was added to the medium without NAA. Among the regenerated shoots, 70.5% were normal plants, while 19.3% were abnormal. The addition of NAA or an increase in its concentration led to a higher occurrence of abnormal plants. After the regenerated shoots were transferred to 1/2 MS medium, roots were observed within 10-15 days. By day 30, they had developed into complete plants. The results obtained from the regeneration experiments with the perilla variety Dayu can valuably inform molecular breeding reliant on transformation techniques such as genome-editing and genetic modification technology.
Background: DNA methylation is one of the important gene expression mechanisms of the cell. When cytosine of CpG dinucleotide in promotor is hypomethylated, expression of some genes that is controlled by this promoter is altered. In this study, the author investigated the effect of DNA demethylating agent, 5-aza-2'-deoxycytidine (ADC), on the expressions of cancer antigen genes, MHC and B7 in 4 lung cancer cell lines, NCIH1703, NCIH522, MRC-5, and A549. Material and Method: After treatment of cell lines, NCIH1703, NCIH522, MRC-5 and A549 with ADC (1 uM) for 48 hours, RT-PCR was performed by using the primers of MAGE, GAGE, NY-ESO-1, PSMA, CEA, and SCC antigen gene. In order to find the optimal ADC treatment condition for induction of cancer antigen, we studied the effect of ADC treatment time and dose on the cancer antigen gene expression. To know the effect of ADC on the expression of MHC or B7 and cell growth, cells were treated with 1 uM of ADC for 72 hours for FACS analysis or cells were treated with 0.2, 1 or 5 uM of ADC for 96 hours for cell counting. Result: After treatment of ADC (1 uM) for 48 hours, the expressions of MAGE, GAGE, NY-ESO-1, and PSMA genes increased in some cell lines. Among 6 MAGE isotypes tested, and gene expression of MAGE-1, -2, -3, -4 and -6 could be induced by ADC treatment. However, CEA gene expression did not change and SCC gene expression was decreased by ADC treatment. Gene expression was generally induced 24 - 28 hours after ADC treatment and expression of MAGE, GAGE, and NY-ESO-1 was maintained at least 14 days after ADC ADC teatment, and expression of MAGE, GAGE, and NY-ESO-1 was maintained at least 14 days after ADC teatment in ADC-Free medium. Most gene expression could be induced at 0.2 uM of ADC, but gene expression increased dependently on ADC treatment dose. The expression of MHC and B7 was not increased by ADC treatment in all four cell lines, and the growth rate of 4 cell lines decreased significantly with the increase of ADC concentrations. Conclusion: Treatment of lung cancer cell lines with ADC increases the gene expression MAGE, GAGE and NY-ESO-1 that are capable of induction of cytotoxic T lymphocyte response. We suggest that treatment with 1 uM of ADC for 48 hours and then culturing in ADC-free medium is optimal condition for induction of cancer antigen. However, ADC has no effect on MHC and B7 induction, additional modification for increase of expression of MHC, B7 and cytokine will be needed for production of efficient cancer cell vaccine.
Chemical determination were made to analyze the concentration of nutrients including proximate composition, vitamins, minerals, amino acids and fatty acids in three kinds of locally produced infantile formula milk(DFM) and one fermented milk(FM). An attempt was also made to compare the analytical values of nutrients against guaranteed values. The results obtained are summarized as follows; 1. The analyzed value of protein and fat content in DFM-A.B.C was slightly lower than that of guaranteed values and a reverse trend was observed in the case of total carbohydrate. There were no differences in proximate composition among the three kinds of DFM. It was found that the FM contained less protein and fat than the fresh milk, but it seemed that a considerable amount of sugar was added to FM. 2. The analyzed values of vitamin
The applicability of a well-type autotrophic sulfur-oxidizing reactive barrier (L
It has been reported that degranulation of mast cells in rats, rabbits and dog was observed after dosing xylazine hydrochloride(Xh) which has been widely used as sedative, analgesic and muscular relaxant. Therefore, this experiment was conducted to examine the relations between Xh and histamine release and to identify the action of
Recommender system has become one of the most important technologies in e-commerce in these days. The ultimate reason to shop online, for many consumers, is to reduce the efforts for information search and purchase. Recommender system is a key technology to serve these needs. Many of the past studies about recommender systems have been devoted to developing and improving recommendation algorithms and collaborative filtering (CF) is known to be the most successful one. Despite its success, however, CF has several shortcomings such as cold-start, sparsity, gray sheep problems. In order to be able to generate recommendations, ordinary CF algorithms require evaluations or preference information directly from users. For new users who do not have any evaluations or preference information, therefore, CF cannot come up with recommendations (Cold-star problem). As the numbers of products and customers increase, the scale of the data increases exponentially and most of the data cells are empty. This sparse dataset makes computation for recommendation extremely hard (Sparsity problem). Since CF is based on the assumption that there are groups of users sharing common preferences or tastes, CF becomes inaccurate if there are many users with rare and unique tastes (Gray sheep problem). This study proposes a new algorithm that utilizes Social Network Analysis (SNA) techniques to resolve the gray sheep problem. We utilize 'degree centrality' in SNA to identify users with unique preferences (gray sheep). Degree centrality in SNA refers to the number of direct links to and from a node. In a network of users who are connected through common preferences or tastes, those with unique tastes have fewer links to other users (nodes) and they are isolated from other users. Therefore, gray sheep can be identified by calculating degree centrality of each node. We divide the dataset into two, gray sheep and others, based on the degree centrality of the users. Then, different similarity measures and recommendation methods are applied to these two datasets. More detail algorithm is as follows: Step 1: Convert the initial data which is a two-mode network (user to item) into an one-mode network (user to user). Step 2: Calculate degree centrality of each node and separate those nodes having degree centrality values lower than the pre-set threshold. The threshold value is determined by simulations such that the accuracy of CF for the remaining dataset is maximized. Step 3: Ordinary CF algorithm is applied to the remaining dataset. Step 4: Since the separated dataset consist of users with unique tastes, an ordinary CF algorithm cannot generate recommendations for them. A 'popular item' method is used to generate recommendations for these users. The F measures of the two datasets are weighted by the numbers of nodes and summed to be used as the final performance metric. In order to test performance improvement by this new algorithm, an empirical study was conducted using a publically available dataset - the MovieLens data by GroupLens research team. We used 100,000 evaluations by 943 users on 1,682 movies. The proposed algorithm was compared with an ordinary CF algorithm utilizing 'Best-N-neighbors' and 'Cosine' similarity method. The empirical results show that F measure was improved about 11% on average when the proposed algorithm was used