• 한국작물학회지
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• 제42권5호
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• pp.539-547
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• 1997

This study was carried out to identify how soybean seed protein concentration is influenced by climatic factors. Twelve lines selected for seed protein concentration were studied in 13 environments of North Carolina. Sensitivity of seed protein concentration, total seed protein, and seed yield to climatic variables was investigated using a linear regression model. Best response models were determined using two stepwise selection methods, Maximum R-square and Stepwise Selection. There were wide climatic effects in seed protein concentration, total protein and seed yield. The highest protein concentration environment was characterized by the most high temperature days(HTD) and the smallest variance of average daily temperature range (VADTRg), while the lowest protein concentration environment was distinguished by the fewest HTD and the largest VADTRg. For protein concentration, all lines responded positively to average maximum daily temperature(MxDT), HTD, and average daily temperature range(ADTRg) and negatively to ADRa, while they responded positively or negatively to average daily temperature(ADT), variance of average minimum daily temperature (VMnDT), and VADTRg, indicating that genotypes may greatly differ in degrees of sensitivity to each climatic variable. Eleven lines seemed to have best response models with 2 or 3 variables. Exceptionally, NC106 did not show a significant sensitivity to any climatic variable and thus did not have a best response model. This indicates that it may be considered phenotypically more stable. For total seed protein and seed yield, all the lines responded negatively to both ADTRg and VADRa, suggesting that synthesis of seed components may increase with less daily temperature range and less variation in daily rainfall.

• 한국수자원학회논문집
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• 제42권9호
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• pp.681-690
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• 2009

본 연구에서는 기상인자를 반영하여 확률강수량을 산정하고 불확실성을 평가하였다. 기상인자는 범지구적으로 관측되고 있는 해수면온도와 습윤지수 자료를 이용하였다. 분석 방법은 기상인자와 연최대시간강수량 사이의 지체상관계수를 산정하여 비교함으로써, 우리나라의 시간최대강수량과 상관관계가 큰 기상인자의 관측지역과 지체시간을 선정하고 지역가중다항식을 이용하여 회귀관계를 설정하였다. 다음으로 기상인자를 변동핵밀도함수를 이용하여 확률 밀도함수를 추정하여 모의발생을 수행하였다. 마지막으로 모의된 기상인자를 지역가중다항식을 통해 강수량을 추정하여 확률강수량을 산정하였다. 분석 결과에서 기상인자를 반영한 확률강수량은 강수자료를 빈도해석한 확률강수량과 큰 차이를 보이지 않는 것으로 나타났다. 또한 지구온난화와 같은 기후변화를 반영하는 기상인자를 반영한 확률강수량 산정의 기초자료로 활용할 수 있을 것으로 판단된다.

• 대한조선학회논문집
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• 제51권3호
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• pp.193-202
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• 2014

This paper presents a new method of sampling the climatic data for infrared signature analysis. Historical hourly data from a stationary marine buoy of KMA(Korean Meteorological Administration) are used to select a small number of sample points (N=100) to adequately cover the range of statistics(PDF, CDF) displayed by the original data set (S=56,670). The method uses a coarse bin to subdivide the variable space ($3^5$=243 bins) to make sample points cover the original data range, and a single-point ranking system to select individual points so that uniform coverage (1/N = 0.01) is obtained for each variable. The principal component analysis is used to calculate a joint probability of the coupled climatic variables. The selected sample data show good agreement to the original data set in statistical distribution and they will be used for statistical analysis of infrared signature and susceptibility of naval ships.

• International Journal of Industrial Entomology and Biomaterials
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• 제14권2호
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• pp.99-105
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• 2007

The success of rearing with presently available conventional bivoltine is unpredictable in some seasons of the tropical regions due to highly fluctuating adverse climatic conditions. Thus, in order to popularize bivoltine breeds in tropical parts of India, it is very much essential to have a bivoltine breed(s), which can give stable cocoon crop under variable environments. With this objective a breeding programme was undertaken to improve the survival trait in bivoltine silkworm by introducing multivoltine genes into bivoltine through back crossing. Resultant bivoltine lines showed significantly higher survival in compared to the receptor (Bivoltine) parent and control bivoltine breed. Esterase isozyme analysis revealed similar banding pattern in the developed bivoltine and in the donor multivoltine, which predicts the introgression of multivoltine character into evolved bivoltine.

• 수산경영론집
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• 제44권3호
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• pp.77-84
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• 2013

While some steps in laver aquaculture production can be controlled artificially to a certain extent, the culturing process is largely affected by natural factors, such as the characteristics of seawater, climatic and oceanographic conditions, etc. This study aims to find a direct relationship between climatic and oceanographic factors (water temperature, air temperature, salinity, rainfall, sunshine duration and wind speed) and laver aquaculture production in Wando region, the biggest aquaculture production area of laver, located in the southwest coast of Korea using a multiple regression analysis. Despite the small sample size of a dependent variable, the goodness of model fit appeared acceptable. In addition, the R-squared value was 0.951, which means that the variables were very explanatory. Model results indicated that duration of sunshine, temperature, and rainfall during the farming period from the end of September to the end of April would be important factors affecting significantly to the laver aquaculture production.

• 한국수자원학회논문집
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• 제40권1호
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• pp.89-99
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• 2007

본 논문에서는 본 연구논제(2007)에서 개발된 COMBINE-GRNNM-GA(Type-1)으로부터 최적형태의 구조를 가진 모형을 구성하고, 입력층노드의 기상인자를 제거하기 위하여 불확실성 분석을 실시하였다. 훈련과정중에 가장 최소의 평활인자를 가진 입력층변수는 COMBINE-GRNNM-GA(Type-1)에서 제거되었으며, 변형된 COMBINE-GRNNM-GA(Type-1)은 기상학적 변수의 새로운 최소 평활인자를 구하기 위하여 재훈련된다. 최소 평활인자를 가지는 입력층 노드는 모형결과치에 대하여 가장 유용하지 않는 기상인자인 것을 암시하고 있다. 게다가, 민감하거나 민감하지 않은 기상인자들이 불확실성 분석을 통하여 선택되어진다. 최적 COMBINE-GRNNM-GA(Type-1)은 최소 비용과 노력으로 결측 혹은 미계측 증발접시 증발량과 계측되고 있지 않은 알팔파 기준증발산량을 산정하기 위하여 개발되었다 마지막으로 치적 COMBINE-GRNNM-GA(TyPe-1)을 이용하여 우리나라에서 전반적인 가뭄해석 및 관개배수 시스템 구축을 위한 참고자료를 제공할 수 있는 증발접시 증발량 지도 및 알팔파 기준증발산량 지도도 구축되어질 수 있다.

• Journal of Ecology and Environment
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• 제36권3호
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• pp.193-204
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• 2013

Altitudinal patterns of plant species richness and the effects of area, the mid-domain effect, climatic variables, net primary productivity and latitude on observed richness patterns along the ridge of the Baekdudaegan Mountains, South Korea were studied. Data were collected from 1,100 plots along a 200 to 1,900 m altitudinal gradient on the ridge. A total of 802 plant species from 97 families and 342 genera were recorded. Common and rare species accounted for 91% and 9%, respectively, of the total plant species. The altitudinal patterns of species richness for total, common and rare plants showed distinctly hump-shaped patterns, although the absolute altitudes of the richness peaks varied somewhat among plant groups. The mid-domain effect was the most powerful explanatory variable for total and common species richness, whereas climatic variables were better predictors for rare plant richness. No effect of latitude on species richness was observed. Our study suggests that the mid-domain effect is a better predictor for wide-ranging species such as common species, whereas climatic variables are more important factors for range-restricted species such as rare species. The mechanisms underlying these richness patterns may reflect fundamental differences in the biology and ecology of different plant groups.

• Journal of Forest and Environmental Science
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• 제39권2호
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• pp.105-117
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• 2023

Climate change and invasive alien plant species (IAPs) are having a significant impact on mountain ecosystems. The combination of climate change and socio-economic development is exacerbating the invasion of IAPs, which are a major threat to biodiversity loss and ecosystem functioning. Species distribution modelling has become an important tool in predicting the invasion or suitability probability under climate change based on occurrence data and environmental variables. MaxEnt modelling was applied to predict the current suitable distribution of most noxious weed A. adenophora (Spreng) R. King and H. Robinson and analysed the changes in distribution with the use of current (year 2000) environmental variables and future (year 2050) climatic scenarios consisting of 3 representative concentration pathways (RCP 2.6, RCP 4.5 and RCP 8.5) in Bhutan. Species occurrence data was collected from the region of interest along the road side using GPS handset. The model performance of both current and future climatic scenario was moderate in performance with mean temperature of wettest quarter being the most important variable that contributed in model fit. The study shows that current climatic condition favours the A. adenophora for its invasion and RCP 2.6 climatic scenario would promote aggression of invasion as compared to RCP 4.5 and RCP 8.5 climatic scenarios. This can lead to characterization of the species as preferring moderate change in climatic conditions to be invasive, while extreme conditions can inhibit its invasiveness. This study can serve as reference point for the conservation and management strategies in control of this species and further research.

• 한국초지조사료학회지
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• 제36권3호
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• pp.223-236
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• 2016

The objective of this study was to construct Italian ryegrass (IRG) dry matter yield (DMY) estimation models in South Korea based on climatic data by locations. Obviously, the climatic environment of Jeju Island has great differences with Korean Peninsula. Meanwhile, many data points were from Jeju Island in the prepared data set. Statistically significant differences in both DMY values and climatic variables were observed between south areas of Korean Peninsula and Jeju Island. Therefore, the estimation models were constructed separately for south areas of Korean Peninsula and Jeju Island separately. For south areas of Korean Peninsula, a data set with a sample size of 933 during 26 years was used. Four optimal climatic variables were selected through a stepwise approach of multiple regression analysis with DMY as the response variable. Subsequently, via general linear model, the final model including the selected four climatic variables and cultivated locations as dummy variables was constructed. The model could explain 37.7% of the variations in DMY of IRG in south areas of Korean Peninsula. For Jeju Island, a data set containing 130 data points during 17 years were used in the modeling construction via the stepwise approach of multiple regression analysis. The model constructed in this research could explain 51.0% of the variations in DMY of IRG. For the two models, homoscedasticity and the assumption that the mean of the residuals were equal to zero were satisfied. Meanwhile, the fitness of both models was good based on most scatters of predicted DMY values fell within the 95% confidence interval.

• 한국농림기상학회지
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• 제20권3호
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• pp.233-242
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• 2018

본 연구는 백화산 지역 고도 구배에 따른 식물 종풍부도 패턴을 구명 하고, 관찰된 고도별 식물 종풍부도 패턴에 대한 기후 및 서식지 인자들의 효과를 구명하고자 수행되었다. 백화산 지역 두 개의 조사 구간인 반야사에서 한성봉 구간과 보현사에서 한성봉 구간을 따라 총 70개 조사구에서 목본식물 78종, 초본식물 109종 등 총 187종의 식물종이 관찰되었다. 구간별로 살펴보면, 반야사 구간에서 목본식물 66종, 초본식물 88종을 포함한 154종이 관찰되었으며, 보현사 구간에서는 목본식물 58종, 초본식물 73종 등 131종이 관찰되었다. 고도별 종풍부도 패턴에 대한 기후 및 서식지 인자의 상대적 중요성을 분석하기 위해 단순최소제곱 회귀모형, 다수준모형 및 변이분할을 수행하였다. 분석결과, 반야사 구간의 고도별 종풍부도 패턴은 감소형 패턴을 나타내었으며, 보현사 구간의 종풍부도 패턴은 역단봉형 패턴을 나타내었다. 비록, 고도별 식물종풍부도 패턴은 조사구간 별로 서로 다른 양상을 나타내었으나, 백화산 지역 본 연구 조사 구간에 있어서 고도별 식물 종다양성 패턴에 영향을 미치는 인자들의 상대적 중요성은 서식지 인자가 기후 인자보다 큰 것으로 나타났다. 이러한 결과는 동일한 산악 생태계 내에 위치하는 인근 조사구간에서 조차 고도별 식물 종 풍부도 패턴은 다를 수 있다는 것을 나타낸다. 하지만, 동시에 동일 산악 생태계 내에서의 상이한 패턴에도 불구하고 그 패턴을 제어하는 인자는 동일할 수 있음을 나타낸다.