경북의성 약용작물재배지에서 뿌리혹선충에 대한 발생생태를 조사하기 위하여 시기별 발생소장과 토성에 따른 선충의 증식정도, 토양심도 다른 뿌리혹선충의 서식밀도를 1991년부터 1992년까지 2개년간 조사한 결과는다음과 같다. 뿌리혹선충(M.hapla)의 발생소장을 조사한 결과 유충발생 최성기는 4월초순, 6월중순, 7월하순, 8월하순 등 4회였다. 토성과 뿌리혹선충과의 관계를 보면 사토와 사양토에서 뿌리혹선충의 난관 유충이 가장 많았고 식토에서는 밀도가 낮았다. 토양심도별 M.hapla 유충밀도는 작약포장에서 토심 15cm까지가 1,064~1,486마리로 가장 높았으며 50cm이상에서도 검출되었다.

The Fuji variety of apple, introduced in Japan, has excellent storage quality and good taste, such that it is the most commonly cultivated apple variety in Gunwi County, North Gyeongsang Province, Korean Peninsula. Accurate prediction of harvest maturity allows farmers to more efficiently manage their farm in important aspects such as working time, fruit storage, market shipment, and labor distribution. Temperature is one of the most important factors that determine plant growth, development, and yield. This paper reports on the beta distribution (function) model that can be used to simulate the the phenological response of plants to temperature. The beta function, commonly used as a skewed probability density in statistics, was introduced to estimate apple harvest maturity as a function of temperature in this study. The model parameters were daily maximum temperature, daily optimum temperature, and maximum growth rate. They were estimated from the input data of daily maximum and minimum temperature and apple harvest maturity. The difference in observed and predicted maturity day from 2009 to 2012, with optimal parameters, was from two days earlier to one day later.

This paper presents a study to identify the relationship between vegetation phenology and landslide using remote sensing to access landslide prone areas in an event of an earthquake. A landslide triggered after the April 2015 earthquake in Manaslu Conservation Area in Gorkha District of Nepal was used as a study site. The method proposed in the paper uses pre- and post-event LANDSAT8 Operational Land Imager (OLI) images and uses Normalized Difference Vegetation Index (NDVI) for understanding the correlation between vegetation phenology of the study site to the landslide. Comparative study of the result shows lower NDVI mean value after the earthquake and shows that a slope with NDVI mean value lower than 0.247 could be landslide prone. Implication of the result, if confirmed, could aid in identifying landslide prone areas and implementing mitigation programs to either re-vegetate the slope or relocate residents directly under threat.

Fuji apple variety introduced in Japan has excellent storage quality and good taste so it is most commonly cultivated in the Korean Peninsula. Accurate prediction of harvest maturity allows farmers to more efficiently manage their farm, such as working time, fruit storage, market shipment and labor distribution so it is very important. This study was carried out to predict the harvest maturity of ‘Fuji’ apple using DTS (Days Transformed to Standard temperature) model based on the Arrhenius law in the Gunwi province of the South Korea. Input data are daily average temperature and apple harvest maturity. Predicted the harvest maturity of Fuji apple after estimating the optimal parameters by using the Nelder-Mead method. The differences of observed and predicted harvest maturity day are approximately 1 to 4 days and the RMSE is 2.9.

The objective of this study was to analyze correlation between phenological characteristics of Salix spp. and meteorological factors in the Upo wetlands. Phenology of Salix subfragilis Andersson and Salix chaenomeloides Kimura was monitored from 2007 to 2012. Meteorological variables were monitored by Korea Meteorological Administration (Hap-chon). Average date of flowering, fruiting, seed dispersion was 86, 113, 136 days for S. subfragilis and 112, 140, 164 days for S. chaenomeloides as Julian days. Flowering of S. subfragilis and S. chaenomeloides were correlated with daily mean air temp. in March (r=-0.92, r=-0.85, p<0.05). Fruiting of S. subfragilis was correlated with total precipitation between Jan and March of previous year (r=-0.90, p<0.01), however, the fruiting of S. chaenomeloides was highly correlated with max. temp. in Jan of previous year (r=0.99, p<0.01). Seed dispersion of both species is correlated with min. temp. in Feb. Phenology monitoring will contribute to understanding Salix spp. response against climate change.

에 분포하는 기후변화 취약식물종인 목본식물 20종, 초본식물 18종 총 38종을 대상으로 2009년 5월부터 2010년 11월까지 식물계절 변화 모니터링을 실시하였다. 조사식물은 개엽, 개화, 낙화, 단풍, 낙엽 등 5개의 특성으로 구분하여 기후변화에 따른 아고산지대내 기후변화 취약종의 식물계절 변화를 분석하였다. 기상 자료는 2009년 11월 말부터 2010년 12월 초까지 측정되었으며 조사 결과, 기온은 향적봉-중봉 지역에서 최대가 30.4℃, 최소가 -20.3℃로 조사되었으며, 상대습도는 최고 100%, 최소 3.4%로 조사되었다. 덕유산 향적봉과 중봉지역의 개엽시기를 조사한 결과 박새, 산오풀 등을 제외한 대부분의 종들은 비슷하거나 전년도에 비해 6~20일 정도 늦게 나타났다. 개화시기는 식물계절 변화 중 가장 큰 차이를 보였으며, 이른 봄에 개화하는 처녀치마, 산철쭉, 노랑제비꽃은 2차년도에 13일~20일 빠른 것으로 관찰되었으며, 늦은 봄과 여름에 개화하는 백당나무, 풀솜대, 개시호 등은 2차년도에 6일~10일 늦은 것으로 나타났다. 낙화시기와 단풍시기는 전년도에 비해 10일~18일 늦은 것으로 나타났고, 낙엽시기는 전년도와 유사한 경향성을 보였다. 본 연구결과 기후변화의 영향이 한반도 아고산지대에 분포하는 기후변화 취약종들에게 상당히 미치고 있는 것으로 나타났다.

Prediction of rice developmental stage is necessary for proper crop management and a prerequisite for growth simulation as well. The objectives of the present study were to find out the relationship between the plastochrone index(PI) and the developmental index(DVI) estimated by non-parametric phenology model which simulates the duration from seedling emergence(DVI=0) to heading(DVI=l) by employing daily mean air temperature and daylength as predictor variables, and to confirm the correspondency of developmental indice to panicle developmental stages based on this relationship. Four japonica rice cultivars, Kwanakbyeo, Sangpungbyeo, Dongjinbyeo, and Palgumbyeo which range from very early to very late in maturity, were grown by sowing directly in dry paddy field five times at an interval of two weeks. Data for seedling emergence, leaf appearance, differentiation stage of primary rachis branch and heading were collected. The non-parametric phenology model predicted well the duration from seedling emergence to heading with errors of less than three days in all sowings and cultivars. PI was calculated for every leaf appearance and related to the developmental index estimated for corresponding PI. The stepwise polynomial analysis produced highly significant square-rooted cubic or biquadratic equations depending on cultivars, and highly significant square-rooted biquadratic equation for pooled data across cultivars without any considerable reduction in accuracy compared to that for each cultivar. To confirm the applicability of this equation in predicting the panicle developmental stage, DVI at differentiation stage of primary rachis branch primordium was calculated by substituting PI with 82 corresponding to this stage, and the duration reaching this DVI from seedling emergence was estimated. The estimated duration revealed a good agreement with that observed in all sowings and cultivars. The deviations between the estimated and the observed were not greater than three days, and significant difference in accuracy was not found for predicting this developmental stage between those equations derived for each cultivar and for pooled data across all cultivars tested.