• Journal of the Korean earth science society
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• v.38 no.7
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• pp.481-495
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• 2017

The purpose of this study is to investigate and analyze the relationship between meteorologicalclimatic factors and fruit property data from Aronia sampling points during May to August 2016 in the Danyang area. For this purpose, we investigated the meteorological factor, the physicalchemical property of fruit and soil, and the property change of fruit according to the setting of rain and daylight shielding from Aronia sampling points. The result indicate that first, meteorologicalclimatic factors such as the maximum air temperature, the accumulated precipitation, the relative humidity, and daylight hours are a positive influence on products and maintenance of quality of Aronia as well as a suitable field for cultivating Aronia in the Danyang. However, a strong wind in April and May deeply affects the falling phenomenon of the flowering and blooming season. Second, the quality and products of Aronia show the high correlation coefficients of more than 0.9 with agricultural meteorologicalclimatic factors such as daily maximum temperature, daily soil temp, daily soil pH, cumulated precipitation, and daily soil humidity. Also, they can be predicted by the regression equations using these factors. Third, it is necessary to maintain the rain shielding in these fields because antocyanin and saccharinity components within Aronia decreased in case of heavy rainfalls. And, the result of regression analysis saccharinity and antocyanin within aronia from normal fields and rain shieldingfields at Aronia sampling points show a high correlation, respectively.

• Korean Journal of Environment and Ecology
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• v.34 no.2
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• pp.179-187
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• 2020

The study was conducted on Godeoksan, Gangdong-gu, Seoul, for the study of elderly people's park use and satisfaction. For the analysis, frequency analysis was performed on all items, and reliability analysis was performed to check the validity of the items. Factor analysis was used to identify items that have a significant effect on the customer's satisfaction. Multiple regression analysis was performed using the derived factors. As a result of factor analysis, it was found that the factors affecting satisfaction were composed of three factors and 69.50% of the total variance was explained. The KMO value, which means the sample fit between items, was analyzed as .756. Factors were classified into usage aspect, ecological aspect, and amenityt aspect by reflecting the characteristics of the item. As a result of the multiple regression analysis through the derived factors, the multiple regression equation for the elderly's park use satisfaction was analyzed to be Y = 3.678 + 0.202X₁ + 0.125X₂ + 0.236X₃. In this study, there are limitations in conducting a questionnaire survey for the elderly who lack professional knowledge. In the future, evaluation studies should be conducted for the elderly with specialized knowledge, and it is judged that a comparative study of ecological, utilization, and climatic aspects by age is necessary.

• Korean Journal of Agricultural and Forest Meteorology
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• v.15 no.3
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• pp.191-200
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• 2013

This study was conducted to examine the geographic variation of bud phenology of Zelkova serrata provenances. Data were collected from Gangneung, Yilmsil, Hwaseong and Jinju plantations which were parts of the 6 provenance trials established by Korea Forest Research Institute in 2009. The 16 provenances were included in these trials. The starting date of bud burst and finishing date of leaf expansion were investigated from April to May every other day. The four geographic factors and fifteen climatic factors of the test sites and provenances were considered in this study. Canonical correlation analysis was conducted to examine the major factors affecting the bud phenology between test sites and provenances. The study results suggested that the major factors affecting the timing of bud burst were the differences of extremely high temperature (March-October), annual mean temperature, mean temperature (March-October), extremely high temperature (July-August) and mean humidity (June-October) between test site and provenance. The provenances with lower mean or high temperature than those of plantation showed the earlier bud burst and leaf expansion. It showed a typical north-south or low-high temperature cline. Finally, we discussed the implication of the tree breeding program of Z. serrata based on these results.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.27 no.4
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• pp.296-313
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• 1982

At a time when world population and food supply are in a delicate balance, it is essential that we look at factors to improve this balance. We can alter the environment to better fit the plant's needs, or we can alter the plant to better fit the environment. Improved technology has allowed us to increase the yield level. For moderately detrimental weather events technology has generally decreased the yield variation, yet for major weather disasters the variation has increased. We have raised the upper level, but zero is still the bottom level. As we concentrate the production of particular crops into limited areas where the environment is closest to optimum, we may be increasing the risk of a major weather related disaster. We need to evaluate the degree of variability of different crops, and how weather and technology can interact to affect it. The natural limits of crop production are imposed by important ecological factors. Production is a function of the climate, the soil, and the crop and all activities related to them. In looking at the environment of a crop we must recognize these are individuals, populations and ecosystems. Under intensive agriculture we try to limit the competition to one desired species. The environment is made up of a complex of factors; radiation, moisture, temperature and wind, among others. Plant response to the environment is due to the interaction of all of these factors, yet in attempting to understand them we often examine each factor individually. Variation in crop yields is primarily a function of limiting environmental parameters. Various weather parameters will be discussed, with emphasis placed on how they impact on crop production. Although solar radiation is a driving force in crop production, it often shows little relationship to yield variation. Water may enter into crop production as both a limiting and excessive factor. The effects of moisture deficiency have received much more attention than moisture excess. In many areas of the world, a very significant portion of yield variation is due to variation in the moisture factor. Temperature imposes limits on where crops can be grown, and the type of crop that can be grown in an area. High temperature effects are often combined with deficient moisture effects. Cool temperatures determine the limits in which crops can be grown. Growing degree units, or heat accumulations, have often been used as a means of explaining many temperature effects. Methods for explaining chilling effects are more limited.

• Journal of Bio-Environment Control
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• v.13 no.4
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• pp.209-216
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• 2004

This study was aimed to assess the effects of microclimate factors on lettuce chlorophyll fluorescent responses and to develop an environment control system for plant growth by adopting a simple genetic algorithm. The photosynthetic responses measurements were repeated by changing one factor among six climatic factors at a time. The maximum Fv'/Fm' resulted when the ambient temperature was $21^{\circ}C,\;CO_2$ concentration range of 1,200 to 1,400 ppm, relative humidity of $68\%$, air current speed of $1.4m{\cdot}s^{-1}$, and the temperature of nutrient solution of $20^{\circ}C$. In PPF greater than $140{\mu}mol{\cdot}m^{-2}{\cdot}s^{-1}$, Fv'/Fm' values were decreased. To estimate the effects of combined microclimate factors on plant growth, a photosynthesis efficiency model was developed using principle component analysis for six microclimate factors. Predicted Fv'/Fm' values showed a good agreement to measured ones with an average error of $2.5\%$. In this study, a simple genetic algorithm was applied to the photosynthesis efficiency model for optimal environmental condition for lettuce growth. Air emperature of $22^{\circ}C$, root zone temperature of $19^{\circ}C,\;CO_2$ concentration of 1,400 ppm, air current speed of $1.0m{\cdot}s^{-1}$, PPF of $430{\mu}mol{\cdot}m^{-2}{\cdot}s^{-1}$, and relative humidity of $65\%$ were obtained. It is feasible to control plant environment optimally in response to microclimate changes by using photosynthesis efficiency model combined with genetic algorithm.

• Journal of Bio-Environment Control
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• v.26 no.4
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• pp.346-352
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• 2017

In this study, we analyzed environmental factors including annual fruit growth and meteorological conditions in Suwon area from 2000 to 2014 to develop and verify a fruit width prediction model in 'Fuji' apple. The 15-year average of full bloom data was April 28 and that of fruit development period was 181 days. The fruit growth until 36 days after full bloom followed single sigmoid curve. The environmental factors affecting fruit width were BIO2, precipitation in September, the average of daily maximum and minimum temperature in April, minimum temperature in August, and growing degree days (GDD) in April. Among them, the model was constructed by combining BIO2 and precipitation in September, which are not cross-correlated with each other or, with other factors. And then, the final model was selected as 19.33095 + (5.76242 ${\times}$ BIO2) - (0.01891 ${\times}$ September precipitation) + (2.63046 ${\times}$ minimum temperature in April) which was the most suitable model with AICc of 92.61 and the adjusted $R^2$ value of 0.53. The model was compared with the observed values f rom 2000 to 2014. As a result, the mean difference between the measured and predicted values of 'Fuji' apple fruit width was ${\pm}2.9mm$ and the standard deviation was 3.54.

• Journal of Animal Environmental Science
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• v.1 no.2
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• pp.137-144
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• 1995

This experiment was conducted to determine the effects of non-climatic environmental factors on growth performances and behavioural patterns of weanling pigs. Three hundred and sixty weanling pigs were contained and carried out with three levels of spaces per pig(0.18, 0.23 and 0.30$m^2$) and three different numbers of pigs per pen(15, 20 and 25 pigs) up to 30kg body weight. Designed by using a 3 $\times$ 3 factorial arrangement(three levels of spaces $\times$ three different numbers of pigs). This experiment investigated the effects of main factors and the relationship between each factors. The result of this experiment were summarized as follows ; 1. The reduction of floor space caused the reduction of feed/gain in the weanling pigs. Pigs responded with the increased feed intake(p<0.01) and with no change in body weight gain. 2. There were no significant differences in the body weight gain and feed/gain in weanling pigs by changing group sizes, but group size affected the feed intake significantly(p<0.01). 3. Space allowance affected the behavioural patterns significantly(p<0.01) of weanling pigs. The reduction of floor space caused the increment of aggressive behaviour and weanling pigs responded with the decreased resting, non aggressive social and play behaviour. 4. There were no significant differences in the resting, eating, aggressive and non aggressive social behaviour in weanling pigs by changing group sizes, but the large group size caused the reduction of play behaviour in the weanling pigs(p<0.01). 5. Therefore we concluded that weanling pigs require 0.23$m^2$ per pig and 20~25 pigs per pen for the better environment condition.

• Journal of Animal Environmental Science
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• v.1 no.2
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• pp.145-153
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• 1995

This study was conducted to determine the effects of non-climatic environmental factors on performances and behavioural patterns of growing pigs. Two hundred and seventy growing pigs were confined and administered with three levels of spaces per pig(0.33, 0.44 and 0.66$m^2$) and three different numbers of pigs per pen(12, 15 and 18 pigs) from 30kg to 60kg body weight. This study was designed by using 3 $\times$ 3 factorial arrangement(three levels of spaces $\times$ three different numbers of pigs) and investigated the effects of main factors and the relationship between each factors. The result of this study were summarized as follows; 1. The 0.44$m^2$ of floor space per pig improved(p<0.01) the weight gain and the feed/gain during the growing phase. 2. The 15 pigs per pen showed the faster gain and improved feed/gain than the 12 or 18 pigs per pen during the growing phase(p<0.05). 3. The reduction of floor space of growing pigs caused the reduction of resting, non-aggressive social behaviour but eating, aggressive behaviour was increased(p<0.01). 4. Group size affected the behavioural patterns significantly(p<0.01) of growing pigs. The aggressive and eating behaviour increased but resting behaviour decreased by crowding in the growing pigs. 5. Therefore we concluded that growing pigs need 0.44$m^2$ per pig and 15 pigs per pen for the better raising condition.

• Journal of Ecology and Environment
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• v.46 no.4
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• pp.316-323
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• 2022

Background: We developed a habitat suitability index (HSI) model for Pedicularis hallaisanensis, a Grade II Endangered Species in South Korea. To determine the habitat variables, we conducted a literature review on P. hallaisanensis with a specific focus on the associated spatial factors, climate, topography, threats, and soil factors to derive five environmental factors that influence P. hallaisanensis habitats. The specific variables were defined based on the collected data and consultations with experts in the field, with the validity of each variable tested through field studies. Results: Mt. Seorak had a suitable habitat area of 2.48 km² for sites with a score of 1 (0.62% of total area) and 0.01 km² for sites with a score of 0.9. Mt. Bangtae had a suitable habitat area of 0.03 km² for sites with a score of 1 (0.02% of total area) and 0 km² for sites with a score of 0.9. Mt. Gaya showed 0.13 km² of suitable habitat for sites with a score of 1 (0.17% of total area) and 0 km² for sites with a score of 0.9. Lastly, Mt. Halla showed 3.12 km² of suitable habitat related to sites with a score of 1 (2.04% of total area) and 4.08 km² of sites with a score of 0.9 (2.66% of total area). Mt. Halla accounts for 73.1% of the total core habitat area. Considering the climatic, soil, and forest conditions together with standardized collection sites, our results indicate that Mt. Halla should be viewed as a core habitat of P. hallaisanensis. Conclusions: The findings in this study provide useful data for the identification of core habitat areas and potential alternative habitats to prevent the extinction of the endangered species, P. hallaisanensis. Furthermore, the developed HSI model allows for the prediction of suitable habitats based on the ecological niche of a given species to identify its unique distribution and causal factors.

• Korean Journal of Medicinal Crop Science
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• v.2 no.1
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• pp.7-13
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• 1994

This study was conducted to investigate the relationships between yearly variations of climatic factors and yearly variations of productivity in Alisma plantago L. In addition, correlation coefficients among yield and yield components were estimated. The data of yield and yield components were collected from the Statistical Year Book of Seungju province, Reserach Report of Seungju Extension Station of Rural Development Administration, and farmers for 10 years from 1983 to 1992. The meteorological data gathered at the Seungju Weather Station for the same period were used to find out the relationships between climatic factors and productivity. Yearly variation of the amount of precipitation in October and the minimum temperature in November were large with coefficients of variation(C.V.) of 106.44, 144.08%, respectively, but the variation of the average temperature, maximum temperature, minimum temperature from July to September were relatively small. Fresh weight and dry weight of roots vary greatly with C. V. of 30.62, 31.85%, respectivly. Plant height and stem length show more or less small C. V. of 5.51, 6. 26%, respectively and leaf width, leaf length, number of stems and root diameter show still less variation. Correlation coefficients between maximum temperature in November and plant height, stem diamter, number of stems, root diamter and dry weight of roots are positively significant at the 5% level. There are high signficant positive correlations observed, between yield and yield components. The maximum temperature would be used as a predictive variable for the estimation of dry weight of roots and number of stems. Simple linear regression equations by the least square method are estimated for number of stems $(Y_1)$ and the maximum temperature in November(X) as $Y_1=4.7114+0.5333\;X\;(R^2=0.4410)$, and for dry weight of roots$(Y_2)$ and the maximum temperature in November(X) as $Y_2=55.0405+14.3233\;X\;(R^2=0.4511)$