• Title/Summary/Keyword: Agricultural ecology

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Estimation of Forest Carbon Fluxes in South Korea using Flux Observation and Data-driven Technology based on Machine Learning (플럭스 관측과 기계학습 기반의 데이터 주도 기술을 활용한 남한 산림 탄소 플럭스 추정)

  • Cho, Sungsik;Kang, Minseok;Ichii, Kazuhito;Kim, Joon;Lim, Jong-Hwan;Chun, Jung-Hwa;Park, Chanwoo;Kim, Hyun Seok;Choi, Sung-Won;Lee, Seung-Hoon;Indrawati, Yohana Maria;Kim, Jongho;Sohn, Seungwon
    • Proceedings of The Korean Society of Agricultural and Forest Meteorology Conference
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    • 2019.08a
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    • pp.290-291
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    • 2019
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Application of Amplicon Pyrosequencing in Soil Microbial Ecology (토양미생물 생태 연구를 위한 증폭 파이로시퀀싱 기법의 응용)

  • Ahn, Jae-Hyung;Kim, Byung-Yong;Kim, Dae-Hoon;Song, Jaekyeong;Weon, Hang-Yeon
    • Korean Journal of Soil Science and Fertilizer
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    • v.45 no.6
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    • pp.1073-1085
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    • 2012
  • Soil microbial communities are immensely diverse and complex with respect to species richness and community size. These communities play essential roles in agricultural soil because they are responsible for most of the nutrient cycles in the soil and influence the plant diversity and productivity. However, the majority of these microbes remain uncharacterized because of poor culturability. Next-generation sequencing techniques have revolutionized many areas of biology by providing cheaper and faster alternatives to Sanger sequencing. Among them, amplicon pyrosequencing is a powerful tool developed by 454 Life Sciences for assessing the diversity of complex microbial communities by sequencing PCR products or amplicons. This review summarizes the current opinions in amplicon sequencing of soil microbial communities, and provides practical guidance and advice on sequence quality control, aligning, clustering, OTU- and taxon-based analysis. The last section of this article includes a few representative studies conducted using amplicon pyrosequencing.

Prediction of Full Blooming Dates of Robinia pseudoacacia using Chill Days Model and Flowering Data from 30 Sites in South Korea over 12 Years (지난 12년간의 전국 30개 지점의 아까시나무 개화 데이터와 순차휴면모델을 활용한 아까시나무의 만개일 예측)

  • Kim, Sukyung;Kim, Taekyung;Lim, Hyemin;Yoon, Sukhee;Jang, Geun-Chang;Won, Myoungsoo;Lim, Jonghwan;Kim, Hyun Seok
    • Proceedings of The Korean Society of Agricultural and Forest Meteorology Conference
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    • 2019.08a
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    • pp.270-271
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    • 2019
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Study on Sludges of Waste Water Disposal Plant for Practical Application as Raw materials of organic compost (폐수배출업소 오니의 퇴비원료로 활용 가능성 연구)

  • Lim, Dong-Kyu;Lee, Sang-Beom;Kwon, Soon-Ik;Nam, Jae-Jag;Na, Young-Eun;Kwon, Jang-Sik;Kim, Wan-Jin;Han, Sang-Gyun
    • Journal of the Korea Organic Resources Recycling Association
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    • v.11 no.2
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    • pp.97-109
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    • 2003
  • This study was conducted to investigate use possibility on waste water sludges of water disposal plant as raw materials of organic compost at Fertilizer Official Regulation of Fertilizer Management Law in 2002. In heavy metal contents, some water service sludges were discovered a little over than the standard levels of raw material regulated in organic compost and most of them were not reached the levels. But they were difficult for using the raw materials of organic compost owing to shortage of the organic content. It was judged that the fiber and leather sludges were much in the heavy metal contents and they couldn't use as the raw materials of organic compost. There was afraid that a little heavy metal contents of cosmetic sludge were less than the levels, but it was possible to use selectively as a raw material.

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Consumer Knowledge and Attitude to Spending on Environment-Friendly Agricultural Products (친환경농산물 구매지출에 대한 소비자지식과 소비자태도 영향)

  • Huh, Eun-Jeong;Kim, Ji-Woong
    • Korean Journal of Human Ecology
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    • v.19 no.5
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    • pp.883-896
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    • 2010
  • This study analyzed the effects of consumer knowledge and attitudes toward spending on environment-friendly agricultural products. Using data collected from 486 Ulsan housewives, results showed each score of consumer knowledge on and attitude to environment-friendly agricultural products was the middle level, and that mean monthly expenditure on environment-friendly agricultural products was 91,193 won. A multiple regression analysis was computed and indicated that higher spending on environmentally friendly agricultural products was related to high levels of consumer knowledge, positive attitudes to environment-friendly agricultural products, higher levels of household income, being a housewife in terms of occupation position, and post-graduate education levels. Furthermore, results also implied that consumer knowledge and attitudes to environment-friendly agricultural products were of greater influences than the demographic variables in their influence over spending on environment-friendly agricultural products.

Characteristics of Non-point Pollutants Discharge in a Small Agricultural Watershed during Farming Season (영농기 농촌 소유역의 비점오염물질 유출 특성)

  • Kim, Jin-Ho;Lee, Jong-Sik;Ryu, Jong-Su;Lee, Kyung-Do;Jung, Goo-Bok;Kim, Won-Il;Lee, Jeong-Taek;Kwun, Soon-Kuk
    • Korean Journal of Environmental Agriculture
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    • v.24 no.2
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    • pp.77-82
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    • 2005
  • This study was conducted to identify the characteristics of non-point pollutants discharge in a small agricultural watershed during farming season. for this purpose, the Neoungchon watershed in Goesangun was selected as a typical agricultural area. Runoff and water quality data in the stream, the domestic sewage and the precipitation of the watershed were analyzed periodically from June 1 to November 6 in 2004 and pollutant loads were estimated. As a result the mean concentrations of BOD, SS, TN and TP in the stream were 3.0, 76.7, 8.7, 0.16 mg/L in rainy season and 2.4, 10.0, 3.5, 0.11 mg/L in dry season respectively. Daily discharge of non-point pollutant occurred above of 95% in rainy period. Measured pollutant loads in the watershed were $26.63kg/km^2/day$ of T-N and $0.62kg/km^2/day$ of T-P, within the range of other research results. Effluent loads based on guideline of total pollutant to stream management of MOE (Ministry of Environment) were less than delivery loads since the guideline could not reflect the agricultural practices, geomorphic and meteorological characteristics in an agricultural watershed.

Ovipositional Characteristics of the Ussur Brown Katydid, Paratlanticus ussuriensis (Orthoptera: Tettigoniidae) (갈색여치(Paratlanticus ussuriensis)의 산란 특성)

  • Bang, Hea-Son;Na, Young-Eun;Han, Min-Su;Kim, Myung-Hyun;Roh, Kee-An;Lee, Jung-Taek
    • Korean Journal of Environmental Agriculture
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    • v.27 no.3
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    • pp.274-278
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    • 2008
  • Paratlanticus ussuriensis oviposited from early July to mid-September under laboratory condition. A female laid on average 145 eggs during the period of reproduction and over 54% of the eggs were laid within 2 weeks after the first laying. The average depth of egg-laying in soil was 19.4 mm under surface. The average major axis of an egg was 5.7 mm and the minor axis was 2.0 mm. Just before hatching, the egg swelled about twice the weight of a newly laid. In tests of ovipositional preference in different types of media, more eggs were laid in soil than in vermiculite or in $Oasis^{(R)}$ floral form. Females also prefer shaded places in the field for reproduction, away from sunshine. In terms of the strategy for egg survival, adult moves to the hill-side adjacent to orchard farm to find a proper place for their egg laying and its survival in winter.

Diurnal Change of Reflectance and Vegetation Index from UAV Image in Clear Day Condition (청천일 무인기 영상의 반사율 및 식생지수 일주기 변화)

  • Lee, Kyung-do;Na, Sang-il;Park, Chan-won;Hong, Suk-young;So, Kyu-ho;Ahn, Ho-yong
    • Korean Journal of Remote Sensing
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    • v.36 no.5_1
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    • pp.735-747
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    • 2020
  • Recent advanced UAV (Unmanned Aerial Vehicle) technology supply new opportunities for estimating crop condition using high resolution imagery. We analyzed the diurnal change of reflectance and NDVI (Normalized Difference Vegetation Index) in UAV imagery for crop monitoring in clear day condition. Multi-spectral images were obtained from a 5-band multi-spectral camera mounted on rotary wing UAV. Reflectance were derived by the direct method using down-welling irradiance measurement. Reflectance using UAV imagery on calibration tarp, concrete and crop experimental sites did not show stable by time and daily reproducible values. But the CV (Coefficient of Variation) of diurnal NDVI on crop experimental sites was less than 5%. As a result of comparing NDVI at the similar time for two day, the daily mean average ratio of error showed a difference of 0.62 to 3.97%. Therefore, it is considered that NDVI using UAV imagery can be used for time series crop monitoring.

Crop Water Stress Index (CWSI) Mapping for Evaluation of Abnormal Growth of Spring Chinese Cabbage Using Drone-based Thermal Infrared Image (봄배추 생육이상 평가를 위한 드론 열적외 영상 기반 작물 수분 스트레스 지수(CWSI) 분포도 작성)

  • Na, Sang-il;Ahn, Ho-yong;Park, Chan-won;Hong, Suk-young;So, Kyu-ho;Lee, Kyung-do
    • Korean Journal of Remote Sensing
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    • v.36 no.5_1
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    • pp.667-677
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    • 2020
  • Crop water stress can be detected based on soil moisture content, crop physiological characteristics and remote-sensing technology. The detection of crop water stress is an important issue for the accurate assessment of yield decline. The crop water stress index (CWSI) has been introduced based on the difference between leaf and air temperature. In this paper, drone-based thermal infrared image was used to map of crop water stress in water control plot (WCP) and water deficit plot (WDP) over spring chinese cabbage fields. The spatial distribution map of CWSI was in strong agreement with the abnormal growth response factors (plant height, plant diameter, and measured value by chlorophyll meter). From these results, CWSI can be used as a good method for evaluation of crop abnormal growth monitoring.