The objective of this study was to access the effect of climate and soil factors on alfalfa dry matter yield (DMY) by the contribution through constructing the yield prediction model in a general linear model considering climate and soil physical variables. The processes of constructing the yield prediction model for alfalfa was performed in sequence of data collection of alfalfa yield, meteorological and soil, preparation, statistical analysis, and model construction. The alfalfa yield prediction model used a multiple regression analysis to select the climate variables which are quantitative data and a general linear model considering the selected climate variables and soil physical variables which are qualitative data. As a result, the growth degree days(GDD) and growing days(GD), and the clay content(CC) were selected as the climate and soil physical variables that affect alfalfa DMY, respectively. The contributions of climate and soil factors affecting alfalfa DMY were 32% (GDD, 21%, GD 11%) and 63%, respectively. Therefore, this study indicates that the soil factor more contributes to alfalfa DMY than climate factor. However, for examming the correct contribution, the factors such as other climate and soil factors, and the cultivation technology factors which were not treated in this study should be considered as a factor in the model for future study.

The most important thing to successfully restore an oak forest is finding suitable climatic conditions and topographic factors for the oak species to be introduced. In this study, in order to find suitable environmental conditions for the five dominant oak trees on the Korean Peninsula, we carried out analysing the information on the location of forest vegetation on the Korean Peninsula. The range of annual mean temperature of the five oak trees was narrow in the order of Q. mongolica (7.7~14.3°C), Q. variabilis (9.2~13.8°C), Q. acutissima (10.5~14.3°C), Q. serrata (11.4~13.7°C), Q. aliena (11.0~12.9°C). The range of annual precipitation of oaks was narrow in order of Q. mongolica (1072.7~1780.9 mm), Q. variablis (1066.6~1554.9 mm), Q. acustissima (1036.5~1504.8 mm), Q. serrata (1062.6~1504.7 mm). The range of altitude was in order of Q. mongolica (147~1388 m), Q. serrata (93~950 m), Q. variabilis (90~913 m), Q. acustissima (60~516 m), Q. aliena (55~465 m). The range of slope was in the order of Q. mongolica (8~56°), Q. variabilis (5~52°), Q. serrata (11~45°), Q. aliena (15~38°), Q. acustissima (16~37°). These results are considered to be very useful in the case of ecological restoration using deciduous oak trees on the Korean Peninsula.

Korean Oak Wilt (KOW), was first recorded in Gyeonggi Province in 2004, and since then has increased steadily in its occurrence and ecological and economic impacts. Platypus koryoensis vectors the symbiotic fungus Raffaelea quercus-mongolicae, which is the causative agent of KOW. KOW may be closely related to recent climate changes, which have allowed P. koryoensis to extend its distribution range in Korea. And it results in greater overlap with the susceptible host tree, Quercus mongolica throughout Korea. In this regard, changes in the climate suitability of P. koryoensis and Q. mongolica were predicted using CLIMEX model and the influences of other environmental factors such as elevation and the number of days with heat wave were also identified in this study.

Population density of Culex tritaeniorhynchus was annually monitored to predict the possibility of a Japanese encephalitis (JE) outbreak at 10 collection sites throughout Republic of Korea (ROK) during mosquito season from 2011 to 2015. Prevalence of Cx. tritaeniorhynchus in ROK was spatially and timely very variable and was significantly highest at Busan city during August. Monthly average population density of Cx. tritaeniorhychus showed high correlation to the monthly average daily average temperature and monthly average precipitation. Two models for the estimation of occurrence of Cx. tritaeniorhynchus based on annual monthly daily average temperature and monthly precipitation are shown with linear regression equations of exp(0.413×temperature-0.949) and exp(0.01258×precipitation+3.777). JE vector surveillance and vector control is warranted as part of an effective JE management program at ROK.

본 연구는 멸종위기식물인 섬시호를 대상으로 기후변화 의 원인인 CO2 + 온도 상승과 식물의 생육 및 분포에 중요 한 광, 수분, 영양소를 조합 처리하여 지구온난화에 대해 어떻게 반응하는지 알아보고, 기후변화환경 하에서의 보전 방안을 마련하고자 하였다. 실험은 야외의 CO2 농도와 온 도를 반영한 대조구와 유리온실에서 대조구보다 CO2 농도 가 약 2배, 온도가 약 2℃ 높게 유지한 CO2 + 온도 상승구로 구분하여 2010년부터 2011년까지 생육시켜 관찰하고 비교 하였다. 섬시호의 생육반응은 광, 수분, 영양소보다 CO2 + 온도 상승의 영향을 더 많이 받았고, CO2 + 온도 상승구에 서 영양소가 많은 조건에서 잘 자랐다. 잎 수는 대조구에 비해 CO2 + 온도 상승구에서 광이 낮은 구배와 영양소가 높은 구배에서 많았고, 잎 폭은 대조구에 비해 CO2 + 온도 상승구에서 광과 영양소가 중간 구배에서 좁았다. 그러나 지상부 길이, 잎몸 길이 그리고 잎자루 길이는 대조구와 CO2 + 온도 상승구 간에 차이가 없었다. 이상으로 볼 때, CO2 농도와 온도의 증가에 의한 식물들의 생육반응은 연구 대상종에 따라 다른 결과를 나타낸다. 이러한 이유는 모든 종마다 CO2 농도와 온도에 반응하는 특이성을 가지고 있고, 여러 복합적인 요인에 의해 식물의 생장이 이루어지기 때문 으로 판단된다. 본 연구결과를 토대로 미래기후환경 하에서 섬시호의 보전을 위해서는 섬시호 자생지에 영양소를 공급 하고 섬시호 자생지가 파괴되지 않도록 하여야 한다. 또한 섬시호의 자생지와 유사한 환경조건을 가진 곳을 선정하여 복원함으로써 서식지를 확대하여야 한다.

번식 시작 전 어느 기간의 어떠한 기후요소가 고리도 롱뇽의 번식이주 시기에 영향을 미치는 지를 파악하고 자, 부산시 기장군 봉대산 일대에서 고리도롱뇽의 자연 번식지와 인접한 대체번식지에서 2006년부터 2010년까 지 5년의 번식기 동안 날짜에 따라 번식지에 출현한 개 체들을 기록한 개체군 모니터링 자료와 조사지로부터 약 25 km 떨어진 기상대에서 획득한 기후정보 사이의 상관관계를 분석하였다. 연구결과, 번식 시작 전 약 1달 동안의 평균기온 및 평균최저기온은 대체번식지 내 암 컷의 번식이주 시기에 영향을 미쳤으며, 번식 전 2~4 달 동안의 겨울철 평균일교차와 평균강수량은 각각 자 연번식지의 수컷과 자연번식지와 대체번식지의 암컷의 번식이주 시기에 영향을 미쳤다. 번식이주 시기와 기후 요소와의 관련성은 수컷보다 암컷에서, 자연번식지에서 보다는 대체번식지에서 더 높았다. 이러한 연구결과는 년도에 걸친 단순한 평균온도의 상승보다는 겨울철을 포함하는 기간 동안의 평균강수량과 평균일교차의 변동 이 유미양서류 번식이주 시기에 더 큰 영향을 미치는 것을 보여준다. 더불어 암컷의 번식이주 시기가 수컷에 비하여 기후요소에 보다 더 밀접하게 관련되며, 특별히 이주된 유미양서류의 개체군들에서 이주시기는 기후요 소의 영향을 더 크게 받는다는 것을 보여준다

Since Zohar(1980) emphasized the influence of social, organizational, and psychological context in occupational safety and health study, the research in this area tends to be emphasizing the influences of personal and physical interaction. With this research trend, this paper is to examine the relationship between safety climate model and safety accident, and the interactional or moderating effect of personal and physical factor on the above relationship. Author conducted a survey to 292 manufacturing workers in construction industry, and the chief results of statistical analysis are as follows 1) management involvement, safety education, precaution activities, and safety system have negative effects on safety accident, 2) a-type personality has interactional effect on safety accident with communication, precaution activities, and safety system. 3) physical job load has interactional effect on safety accident with precaution activities, and safety system.

Global warming affects climate change and has an overall impact on all aspects of life. On the other hand, community behavior and disaster aspects also have an important role in people’s lives. This will also have an impact on regional development. This study aims to find the effect of climate, disaster, and social community on rural development. This study uses data on the potential of rural development from PODES 2014, and 2018 data collection on climate conditions and regional status is sourced from relevant ministries. This research uses Ordinary Least Square (OLS) Regression Analysis method, then continued with CHAID analysis to find the segmentation of the role of climate, disaster, and social factors on rural development. The results of this study found that all research regressor variables significantly influence the Rural Development Index (IPD2018), with an R-squared value of 32.9 percent. Efforts need to be taken in order to implement policies that are targeted, effective, and efficient. The results of this study can be a reference for the government in determining policies by focusing on rural development that have high duration of sunshine, cultivating natural disaster warnings, especially in areas prone to natural disasters, and need to focus on underdeveloped areas.

As the impacts of climate change have been emerged all the way through society, the potential risks specifically on agricultural water and facilities are recently getting concerned. Evaluating vulnerability of agriculture to climate change on is a time-tested strategy. While a number of researches on the adaption and mitigation of climate change were performed in various aspects for sustainable agricultural production, the vulnerability of management system for agricultural water and infrastructure has not been investigated yet. This study is aimed to clarify the definition of vulnerability to climate change, find the major indicators able to presume the vulnerability, and finally determine the relative importance of the indicators based on the specialist questionnaire survey and its analyses. The lists of indicators for major parts of agricultural water management such as, water use, flood control, reservoir related issues, and pumping and drainage systems are initialized referring to the related precedent studies. The primary survey was conducted in the form of Delphi to complement the list and methods and the main survey was then conducted using AHP(Analytic Hierarchy Process) technique to quantitatively prioritize the indicators. The results derived in this study would be directly adopted in weighting importance of indicators to investigate the indicator-based vulnerability analysis to climate change in agricultural water and infrastructure management.

The Diameter at Breast Height (DBH) provides information about the volume growth of a tree. In this study, we estimated the relative growth rates of Castanea crenata and Pinus rigida as 4.07% and 3.73%, respectively. Although the difference was low, we demonstrated that the growth rate of C. crenata is slightly faster than that of P. rigida. After calculating the relative growth rate for each section, we found that the relative growth of C. crenata decreased with time. However, the relative growth rate of P. rigida showed an overall increase. The gap widths of both species showed an increasing trend. However, the gradient of the two species was different. The gradient of C. crenata was approximately 12.0, but that of P. rigida was approximately 4.7. This means that the volume growth of C. crenata was faster than that of P. rigida during 4 years. However, this was relatively a short period for measuring the volume growth pattern, and we believe that additional useful information can be obtained by conducting long-term ecological monitoring. Results of canonical correspondence analysis showed that among the climate variables, temperature was significantly related to the gap widths for both species.