• ALGAE
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• 제18권2호
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• pp.177-181
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• 2003

Variation in seasonal growth, phenology and periodicity in spore shedding in Polysiphonia platycarpa $B{\oslash}rgesen$ occurring on the coast of Visakhapatnam, India, have been described to know the growth behaviour, reproductive periodicity and spore producing capacities. This alga occurs for a short period from December to May in the intertidal region of the Visakhapatnam coast, showing maximum growth during January/February. Tetrasporophytic, carposporophytic and antheridial plants were observed in all months of their occurrence in the field. But the vegetative plants were not seen in January and February and all the plants collected were reproductive. The tetraspore and carpospore shedding was observed during all the six months of their occurrence.

• 한국작물학회:학술대회논문집
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• 한국작물학회 2004년도 춘계 학술대회지
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• pp.104-105
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• 2004

[ $\bigcirc$ ] In the phenology model of ORYZA2000, the effect of photoperiod on the developmental rate was a little ignored because most crop parameters were measured with IRRI varieties which are insensitive to photoperiod, therefore it is very difficult to apply this phenology model directly to Korean varieties which are usually sensitive to photoperiod. $\bigcirc$ After introducing PPFAC and PPSE to improve the phenology model, the precision of heading date prediction was improved but not satisfied. $\bigcirc$ In the growth simulation using data from several regions, yield tended to be overestimated under high nitrogen applicated condition. $\bigcirc$ The precision of yield was much improved by introducing nitrogen use efficiency, but still different between regions because of different soil fertility or property of irrigation water between regions

• 한국농림기상학회지
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• 제15권1호
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• pp.40-49
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• 2013

기상청에서 시민들에게 제공하는 봄꽃 개화일 예보서비스는 한 지점에서 장기간 수집된 기후자료와 개화일 관측자료로부터 얻은 회귀식에 의존하므로 매일의 기온변화에 따른 수정작업이 어렵고, 과거에 관측되지 않았던 기후변이에 대한 반응을 반영하지 못하며, 기상관서 이외의 지역에 대한 개화일 예보가 불가능한 단점이 있다. 이러한 단점을 보완하기 위한 방법으로 일별 기온자료만으로 구동되는 생물계절모형을 현업서비스용으로 전환하는 연구를 수행하였다. 남한지역 29개 기상대로부터 1951-1980 기간의 개나리, 진달래, 벚꽃 관측 표준목의 발아일과 개화일 관측자료 및 기온자료를 수집하여 생물계절모형의 최적모수(기준온도, 저온요구도, 고온요구도)를 추정하고 이를 반영한 개화예측모형을 작성하였다. 생물계절관측의 불확실성을 지역별 오차보정 분포도로 표현하여 생물계절모형과 결합함으로써 봄꽃 3종의 개화일 예측방법을 확립하였다. 이 방법에 의해 1971-2012 기간의 29개 지점 봄꽃 개화일을 예측한 다음 실측 개화자료와 비교한 결과 벚꽃의 경우 RMSE가 2~3일로서 실용성이 있음을 확인하였다.

• 한국환경과학회지
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• 제22권12호
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• pp.1633-1641
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• 2013

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.

• 한국지리정보학회지
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• 제19권1호
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• pp.30-42
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• 2016

기후변화는 식물계절주기에 큰 영향을 미쳤으며, 이로 인해 유기적인 상호관계 하에 있는 생태계 내 다른 생물들까지도 피해를 받는다는 것이 밝혀졌다. 그러나 국내의 경우 식물계절 조사 자료의 구축이 미흡하여 기후와 식물계절간 관계와 관련된 연구를 수행하는데 있어 어려움이 있다. 이에 본 연구에서는 위성영상을 이용한 식물계절 분석방법을 사용하여 효율적으로 국내 산림의 생육개시일을 도출하였다. 또한 생육개시일-기온요인간 상관관계를 분석하여 생육개시일 변동에 가장 영향력이 큰 변수를 도출해보고자 하였다. 분석결과, 국내 산림지역의 생육개시일은 4월 평균기온 그리고 TSOGmin($3^{\circ}C$, 12일)과 가장 상관성이 큰 것으로 나타났다. 이러한 결과는 추후 미래의 기후변화 시나리오 자료를 통해 식물계절 변화를 예측할 수 있는 유용한 자료로 사용될 수 있을 것으로 판단된다.

• 한국작물학회지
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• 제44권2호
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• pp.149-153
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• 1999

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.

• 대한원격탐사학회지
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• 제40권1호
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• pp.57-69
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• 2024

Crop classification plays a vitalrole in monitoring agricultural landscapes and enhancing food production. In this study, we explore the effectiveness of Long Short-Term Memory (LSTM) models for crop classification, focusing on distinguishing between apple and rice crops. The aim wasto overcome the challenges associatedwith finding phenology-based classification thresholds by utilizing LSTM to capture the entire Normalized Difference Vegetation Index (NDVI)trend. Our methodology involvestraining the LSTM model using a reference site and applying it to three separate three test sites. Firstly, we generated 25 NDVI imagesfrom the Sentinel-2A data. Aftersegmenting study areas, we calculated the mean NDVI values for each segment. For the reference area, employed a training approach utilizing the NDVI trend line. This trend line served as the basis for training our crop classification model. Following the training phase, we applied the trained model to three separate test sites. The results demonstrated a high overall accuracy of 0.92 and a kappa coefficient of 0.85 for the reference site. The overall accuracies for the test sites were also favorable, ranging from 0.88 to 0.92, indicating successful classification outcomes. We also found that certain phenological metrics can be less effective in crop classification therefore limitations of relying solely on phenological map thresholds and emphasizes the challenges in detecting phenology in real-time, particularly in the early stages of crops. Our study demonstrates the potential of LSTM models in crop classification tasks, showcasing their ability to capture temporal dependencies and analyze timeseriesremote sensing data.While limitations exist in capturing specific phenological events, the integration of alternative approaches holds promise for enhancing classification accuracy. By leveraging advanced techniques and considering the specific challenges of agricultural landscapes, we can continue to refine crop classification models and support agricultural management practices.

• Journal of Ecology and Environment
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• 제47권3호
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• pp.134-145
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• 2023

Background: The flowering and fruiting periods play an important role in biological processes. The deciduous dipterocarp forest is an important forest type in Thailand, however the phenological studies are still limited, particularly in different plant life forms. Thus, the present study focused on the flowering and fruiting phenology of herbs, climbers, shrubs, and trees in the deciduous dipterocarp forest at Lampang province of Northern Thailand. Field visits were made to record plant life forms and observe reproductive phenological events at monthly intervals from November 2018 to October 2019 and September to December 2020. Results: The phenological observations were based on 126 species of 45 families and 102 genera. Flowering and fruiting periods showed similar patterns in herbaceous plants, climbers, and shrubs. Most of these species produced flowers and fruits from the end of the rainy season (October) to the winter season (November-January). Whereas most of flowering and fruiting trees were found from the summer season (March-April) to the beginning of the rainy season (May-June). Most of the dry-fruited species occurred during the dry period (winter and summer seasons), while the majority of fleshy-fruited species dominated in the wet period (rainy season). The statistical analysis supported the phenological patterns of flowering and fruiting in the present study. There were significant negative correlations between the number of flowering and fruiting species and temperature. The number of flowering and fruiting species is significantly impacted by the interaction between seasons and plant life forms. Conclusions: Plant life form seems to be the important factor that affects the different phenological patterns in the studied plants. The abiotic and biotic factors play major roles in reproductive phenology. However, long-term study and in-depth phenological observations are necessary for better understanding.

• Fisheries and Aquatic Sciences
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• 제1권1호
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• pp.147-151
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• 1998

The reproductive phenology of Gracilaria verrucosa was studied in Cheongsapo near Pusan, Korea. Among the life history phases, tetrasporic plants occurred dominantly in varying degrees of abundance throughout the year except from July to September. Cystocarpic plants increased rapidly during summer, and then recorded maximum abundance in July. Whereas, seasonal peaks of spermatangial plants were observed in April and September. However, they were less than cystocarpic plants in abundance. Vegetative plants dominated from December to May for long period, with a occurrence peak in February. Even though fertile plants in both gametophytes and tetrasporophytes occurred throughout the year, their seasonal abundance suggests that the positive correlation between reproduction and water temperature is basically found in the reproductive pattern of Gracilaria verrucosa. The distributional aspect of life history phases appears to be related with differences of their longevity, fecundity or survivorship.

• Journal of Ecology and Environment
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• 제45권3호
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• pp.117-129
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• 2021

In this review, we aimed to synthesize the current knowledge on the observed and projected effects of climate change on the ecosystems of Korea (i.e., the Republic of Korea (ROK) or South Korea), as well as the main causes of vulnerability and options for adaptation in these ecosystems based on a range of ecological and biogeographical data. To this end, we compiled a set of peer-reviewed papers published since 2014. We found that publication of climate-related studies on plants has decreased in the field of plant phenology and physiology, whereas such publication has rapidly increased in plant and animal community ecology, reflecting the range shifts and abundance change that are occurring under climate change. Plant phenology studies showed that climate change has increased growing seasons by advancing the timing of flowering and budburst while delaying the timing of leafing out. Community ecology studies indicated that the future ranges of cold-adapted plants and animals could shrink or shift toward northern and high-elevation areas, whereas the ranges of warm-adapted organisms could expand and/or shift toward the areas that the aforementioned cold-adapted biota previously occupied. This review provides useful information and new insights that will improve understanding of climate change effects on the ecosystems of Korea. Moreover, it will serve as a reference for policy-makers seeking to establish future sectoral adaptation options for protection against climate change.