• Proceedings of the Korean Society of Crop Science Conference
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• 2022.10a
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• pp.133-133
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• 2022

Temperature is a crucial environmental factor for rice cultivation due to the climate change and can influence the rice growth and development. Therefore, the effect of temperature on plant growth characters was examined during the vegetative stage. Plants were grown under three different temperatures: 23℃/13℃ for 18℃, 26℃/16℃ for 21℃ and 29℃/19℃ for 24℃ in the phytotron. The temperature was treated after transplanting and ended in early panicle initiation stage. Heading date of the two varieties were strongly affected by the temperature and were delayed in the 18℃. The plant height in the 18℃ was 21 % shorter than the 21℃ and 24℃ and the tiller and leaf number were increased in the 18℃. All the growth rates of the characters were the slowest in 18℃. The stem dry weight was significantly increased in 18℃. Nitrogen content was increased in the leaves of 18℃ whereas available phosphate and potassium content was found to be increased in the stems of 21℃ and 24℃. OsNRT 2.1 was overexpressed in the leaves and stems of 18℃ and OsNRT2.3a could be expressed in 18℃ and 21℃ temperatures whereas more expressed in 21℃. OsPT1 and OsPT6 could be expressed in the leaf of 18℃ and 24℃ but could be expressed in the stem of 18℃. OsHAK1 and OsHAK5 could be overexpressed in the leaves and stems of 18℃. For hormone, OsCKX2 gene was found to be up regulated in the leaves of 18℃ and OsIAA1 gene could be expressed more in the stem of 24℃.

• Proceedings of the Korean Society of Crop Science Conference
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• 2022.10a
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• pp.259-259
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• 2022

Soil salinity is a major factor that reduces crop yields. The amount of soil affected by salinity is about 83 million hectares (FAO 2000), which is increasing due to the effects of climate change. In soybean [Glycine max (L.) Merr.], nutritional properties such as protein, starch, and sucrose content together with biomass and yield tends to reduce due to excessive salt. As a result of QTL mapping using the 169 F_2:3 population from the KA-1285 (salt-tolerant) × Daepung (salt-sensitive) in a previous study, two major QTLs (Gm03_39796778 and Gm03_40600088) related to salt tolerance were found on chromosome 3. In this study, the CDS region of the Gmsalt3 gene was analyzed using the ABI 3730x1 DNA Analyzer (Macrogen, Korea). The sequence of Gmsalt3 gene in KA-1285 was compared with Williams 82.a4.vl and PI483463 (Glycine soja). Two transversions were found at exon6 in KA-1285 and PI483463. Currently, whole genome sequencing and variation analysis using the Illumine Novaseq 6000 machine (Illumina, USA) are in progress. The results of this study can provide useful molecular markers for the selection of salt-tolerant soybeans and can be used as basic data for future salt-tolerant gene research.

• Proceedings of the Plant Resources Society of Korea Conference
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• 2022.09a
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• pp.58-58
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• 2022

본 연구는 국내 6곳의 풍혈의 기능과 식물분포를 통하여 풍혈의 보전대책과 관리방안을 위한 기초자료를 확보하기 위해 진행하였다. 조사는 홍천 방내리, 정선 여탄리, 정선 운치리, 연천 동막리, 제천 금수산, 보은 구병산에 위치하는 풍혈 6곳을 선정하였고 풍혈에 기상측정장비를 설치하여 2021년 3월부터 2022년 3월까지 온도와 습도의 미기상요인을 측정하였다. 풍혈이 위치하는 지역의 미기상요인은 기상청 자료를 활용하였고 측정된 풍혈의 미기상요인과 비교 분석하였으며, 관속식물상은 계절별로 진행하여 각 풍혈에 서식하는 희귀식물과 북방계식물, 기후변화 취약식물을 분석하였다. 풍혈 6곳의 미기상요인 분석결과 온도는 보은 구병산 풍혈을 제외한 5곳의 풍혈은 여름철 냉혈의 기능을 나타냈고, 보은 구병산 풍혈은 겨울철 온혈의 기능을 하는 것으로 나타났으며, 습도는 6곳 모두 주변 지역보다 높게 나타났다. 멸종위기종 2급은 백부자, 산작약, 연잎꿩의다리 3분류군, 희귀식물은 산개나리, 월귤 등 23분류군, 북방계식물은 과남풀, 꽃개회나무 등 129분류군, 기후변화취약식물은 검종덩굴, 도깨비부채 등 23분류군으로 확인되었다. 풍혈은 기후변화 취약식물의 피난처로서 역할을 하는 것으로 나타났으나 산림유전자원보호구역으로 지정된 홍천 방내리 풍혈을 제외한 나머지 풍혈은 관리가 미흡하다. 정선 여탄리 풍혈은 인근 도로에서의 외래식물의 유입, 정선 운치리 풍혈은 인근의 양봉장과 관광객 등의 인간활동에 의한 훼손, 연천 동막리 풍혈은 인근 경작지 등의 사유지로 인한 관리의 어려움, 제천 금수산 풍혈은 관광지화로 인한 훼손, 보은 구병산 풍혈은 등산객의 답압으로 인한 훼손이 진행되고 있는 것으로 나타났다. 이에 따라 풍혈과 희귀 및 기후변화 취약식물들의 정기적인 모니터링과 풍혈 주변의 팬스 설치 등의 적극적인 보전방안이 필요하다고 판단된다.

• SUVANNABHUMI
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• v.16 no.1
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• pp.303-343
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• 2024

Globalization and the flow of foreign direct investment (FDI) in the post-pandemic context continue to play a critical role in shaping the workforce of emerging countries. In Vietnam, evidence obtained during the pandemic revealed that the well-being of employees, especially migrant workers, was extremely poor due to both work and non-work factors. This paper examines the most significant factors that impact the well-being of workers employed by various FDI companies in two Vietnamese industrial parks. The survey evidence (n=200) shows that worker well-being is influenced by seven key factors categorized in three dimensions, namely material stressors, social stressors, and human stressors. A further qualitative analysis of 60 participants provides an understanding of the ways in which each factor affects workers' well-being and how elements of well-being in the Vietnamese context are different compared with other countries. Low salaries, lack of social support, work-life imbalance due to job demands, and the interplay between these three determinants significantly affect the overall well-being of workers. In the current business climate, it is important to have well-targeted policies that encourage high-tech investments as well as persuade domestic firms to address low salaries and economic migration. To manage valuable human resources and keep competitive advantages, foreign firms need to authentically implement corporate social responsibility (CSR) initiatives focusing on workers' benefits, especially providing workforce housing. This will bring about win-win outcomes of improved employee well-being and business sustainability.

• Annals of Occupational and Environmental Medicine
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• v.35
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• pp.33.1-33.9
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• 2023

Background: Studies on the association between occupational stress and depression have been frequently reported. However, the cross-sectional designs of studies limited insight into causal associations. In this study, we investigated the longitudinal association between occupational stress and new-onset depression among employees in a single manufacturing plant. Methods: The annual health checkup data of employees at a manufacturing plant in Korea were collected. A total of 1,837 male employees without depression who completed a health checkup during two consecutive years were included. Occupational stress was measured using a short form of the Korea Occupational Stress Scale (KOSS-SF), and depression was assessed using a Patient Health Questionnaire-2. The association between occupational stress change over the two years and newly developed depression was investigated using two logistic regression models. Results: Across all sub-factors of KOSS-SF, employees who reported increased occupational stress had a higher risk of new-onset depression. Newly developed depression was significantly associated with job demand (odds ratio [OR]: 4.34; 95% confidence interval [CI]: 2.37-7.96), job insecurity (OR: 3.21; 95% CI: 1.89-5.48), occupational climate (OR: 3.18; 95% CI: 1.91-5.31), lack of reward (OR: 2.28; 95% CI: 1.26-4.12), interpersonal conflict (OR: 2.14; 95% CI: 1.18-3.86), insufficient job control (OR: 1.93; 95% CI: 1.05-3.56), and the organizational system (OR: 1.84; 95% CI: 1.01-3.36). Conclusions: For every sub-factor of the KOSS-SF, occupational stress increase and persistent high stress were associated with the risk of developing new-onset depression. Among the seven sub-factors, job demand had the most significant effect. Our results show that occupational stress should be managed to promote employee mental healthcare.

• Annals of Occupational and Environmental Medicine
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• v.35
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• pp.7.1-7.14
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• 2023

Background: At present, no short standard questionnaire exists for assessing and comparing major work organization hazards in the workplaces of the United States. Methods: We conducted a series of psychometric tests (content validity, factor analysis, differential-item functioning analysis, reliability, and concurrent validity) to validate and identify core items and scales for major work organization hazards using the data from the 2002-2014 General Social Surveys (GSSs), including the Quality of Worklife (QWL) questionnaire. In addition, an extensive literature review was undertaken to find other major work organization hazards which were not addressed in the GSS. Results: Although the overall validity of the GSS-QWL questionnaire was satisfactory in the psychometric tests, some GSS-QWL items of work-family conflict, psychological job demands, job insecurity, use of skills on the job, and safety climate scales appeared to be weak. In the end, 33 questions (31 GSS-QWL and 2 GSS) were chosen as the least, but best validated core questions and included in a new short standard questionnaire (called the Healthy Work Survey [HWS]). And their national norms were established for comparisons. Furthermore, based on the literature review, fifteen more questions for assessing other significant work organization hazards (e.g., lack of scheduling control, emotional demands, electronic surveillance, wage theft) were included in the new questionnaire. Thus, the HWS includes 48 questions in total for assessing traditional and emerging work organization hazards, which covers seven theoretical domains: work schedule/arrangement, control, support, reward, demands, safety, and justice. Conclusions: The HWS is a short standard questionnaire for assessing work organization hazards which can be used as a first step toward the risk management of major work organization hazards in the workplaces of the US.

• Korean Journal of Environment and Ecology
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• v.25 no.3
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• pp.327-357
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• 2011

This study compared the species composition and distribution of the forest communities between Korea and Japan using vegetation releve database. The study included the eastern and southern Korean Peninsula, Is. Jeju, Is. Ulreung, northern Kyushu, central part of Japan and Is. Tsushima and divided in fourteen region with major mountain as the center. Seventy-nine forest communities were classified by tabular comparison with the total of 1844 releves. In the composition table, fifty-four groups of plant species were listed. Some grew in one area exclusively, while others were present in multiple locations. This study showed the similarity and heterogeneity of species composition among study areas. We grouped fourteen types showing similar physiognomy for forest communities. The physiognomical features of the vertical vegetation zones in the study area were similar, however, dominant species and species composition were different between the regions. In the lowland zone, Castanopsis-Type dominated by Castanopsis cuspidata var. sieboldii or Castanopsis cuspidata were distributed in the study area except for northern part of the Korean Peninsula and Is. Ulreung. Additionally, Persea thunbergii-Type was distributed widely in the lowest part of the study area, however, it showed the simplification of the species composition in the Korean Peninsula and Is. Ulreung. In the hilly zone, evergreen forest composed by Abies firma-Type distributed in northern Kyushuand Is. Tsushima, but it was absent in the other study region. The difference in forest community was conspicuous, especially in the montane zone. Deciduous broadleaved forests composed Quercus(D)-Type and Fagus-Type widely distributed in the montane of study area. However, forest community dominated by Quercus mongolica and Fagus multinervis flourished in Korea. On the otherhand, forest community dominated by Quercus mongolica var. grosseserrata, Fagus crenata and F. japonica distributed in Japan. In the sub-alpine zone, evergreen coniferous forest composed Abies-Quercus(D)-Type, Abies koreana-Type, and Pinus pumila-Type were distributed in the Korean Peninsula and Is. Jeju. Forests composed Taxus cuspidata var. nana-Type, Abies mariesii-Type, and Pinus pumila-Type distributed in the central part of Japan. As a result of DCA ordination, evergreen broadleaved forests of the whole study area showed the lower scores along the first axis, while deciduous and coniferous forests showed the higher scores. The forest types of western part of Japan were located the higer scores, forest types of the Korean Peninsula were located the lower scores, and forest types of Is. Jeju located in the middle. Warmth index (WI) and Annual range of temperature in climate factor were highly correlated on the first axis. The first axis reflected the gradient from oceanic climatic to continental one. The higher the altitude and further geographically, the lower the similarity among communities and the peculiarity of community appeared stronger. The historical background reflecting local flora has strongly influenced on development of community.

• Journal of the Korean Society for Marine Environment & Energy
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• v.17 no.2
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• pp.153-165
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• 2014

Carbon dioxide capture and storage (CCS) technology is recognizing one of method responding the climate change with reduction of carbon dioxide in atmosphere. In Korea, due to its geological characteristics, sub-seabed geological $CO_2$ storage is regarded as more practical approach than on-land storage under the goal of its deployment. However, concerns on potential $CO_2$ leakage and relevant acidification issue in the marine environment can be an important subject in recently increasing sub-seabed geological $CO_2$ storage sites. In the present study effect data from literatures were collected in order to conduct an effect assessment of elevated $CO_2$ levels in marine environments using a species sensitivity distribution (SSD) various marine organisms such as microbe, crustacean, echinoderm, mollusc and fish. Results from literatures using domestic species were compared to those from foreign literatures to evaluate the reliability of the effect levels of each biological group and end-point. Ecological effect guidelines through estimating level of pH variation (${\delta}pH$) to adversely affect 5 and 50% of tested organisms, HC5 and HC50, were determined using SSD of marine organisms exposed to the $CO_2$-induced acidification. Estimated HC5 as ${\delta}pH$ of 0.137 can be used as only interim quality guideline possibly with adequate assessment factor. In the future, the current interim guideline as HC5 of ${\delta}pH$ in this study will look forward to compensate with supplement of ecotoxicological data reflecting various trophic levels and indigenous species.

• Journal of Korea Water Resources Association
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• v.56 no.9
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• pp.543-551
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• 2023

Snow is an essential climate factor that affects the climate system and surface energy balance, and it also has a crucial role in water balance by providing solid water stored during the winter for spring runoff and groundwater recharge. In this study, statistical analysis of Local Data Assimilation and Prediction System (LDAPS), Modern.-Era Retrospective Analysis for Research and Applications, version 2 (MERRA-2), and ERA5-Land snow depth data were used to evaluate the applicability in South Korea. The statistical analysis between the Automated Synoptic Observing System (ASOS) ground observation data provided by the Korea Meteorological Administration (KMA) and the reanalysis data showed that LDAPS and ERA5-Land were highly correlated with a correlation coefficient of more than 0.69, but LDAPS showed a large error with an RMSE of 0.79 m. In the case of MERRA-2, the correlation coefficient was lower at 0.17 because the constant value was estimated continuously for some periods, which did not adequately simulate the increase and decrease trend between data. The statistical analysis of LDAPS and ASOS showed high and low performance in the nearby Gangwon Province, where the average snowfall is relatively high, and in the southern region, where the average snowfall is low, respectively. Finally, the error variance between the four independent snow depth data used in this study was calculated through triple collocation (TC), and a merged snow depth data was produced through weighting factors. The reanalyzed data showed the highest error variance in the order of LDAPS, MERRA-2, and ERA5-Land, and LDAPS was given a lower weighting factor due to its higher error variance. In addition, the spatial distribution of ERA5-Land snow depth data showed less variability, so the TC-merged snow depth data showed a similar spatial distribution to MERRA-2, which has a low spatial resolution. Considering the correlation, error, and uncertainty of the data, the ERA5-Land data is suitable for snow-related analysis in South Korea. In addition, it is expected that LDAPS data, which is highly correlated with other data but tends to be overestimated, can be actively utilized for high-resolution representation of regional and climatic diversity if appropriate corrections are performed.

• Korean Journal of Agricultural and Forest Meteorology
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• v.16 no.4
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• pp.274-284
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• 2014

Crops and varieties are mostly affected by temperature, the amount of precipitation, and duration of sunshine. This study aims to identify the weather factors that directly influence to apple yield among the series of daily measured weather variables during growing seasons. In order to identify them, 1) a priori natural scientific knowledge with respect to the growth stage of apples and 2) pure statistical approaches to minimize bias due to the subject selection of variables are considered. Each result estimated by the Panel regression using fixed/random effect models is evaluated through suitability (i.e., Akaike information criterion and Bayesian information criterion) and predictability (i.e., mean absolute error, root mean square error, mean absolute percentage). The Panel data of apple yield and weather factors are collected from fifteen major producing areas of apples from 2006 to 2013 in Korea for the case study. The result shows that variable selection using factor analysis, which is one of the statistical approaches applied in the analysis, increases predictability and suitability most. It may imply that all the weather factors are important to predict apple yield if statistical problems, such as multicollinearity and lower degree of freedom due to too many explanatory variables used in the regression, can be controlled effectively. This may be because whole growth stages, such as germination, florescence, fruit setting, fatting, ripening, coloring, and harvesting, are affected by weather.