Models in species abundance distribution in presenting community states and environmental impact

Tae‐Soo Chon 한국응용곤충학회 2008 한국응용곤충학회 학술대회논문집 Vol.2008 No.05

Species abundance patterns have been recently one of key issues in ecology regarding determination of the allowable species richness in a determined area (i.e., island biogeography) and elucidation of structural coherence residing in the relationships between species and their corresponding abundance in communities. The topic of relative species abundance or species abundance distribution (SAD) is considered significant in revealing origination of community establishment in theoretical aspect and in presenting ecological states in response to environmental impact in practical aspect. Conventional models used in SADs including geometric series, log series, log normal distribution and broken stick model were introduced along with example cases. Theoretical interpretation of species abundance patterns was additionally outlined covering the neutral model, power law analysis and application of principles in statistical physics. The future of SADs and the species‐abundance related topics was discussed regarding community organization mechanism and ecological monitoring in response to disturbances.

퍼지 GMDH 알고리즘과 폐수처리 공정 시스템에의 응용

안태천,노석범,황형수,오성권 圓光大學校 1996 論文集 Vol.31 No.2

본 논문에서는 GMDH(Group Method of Data Handling) 알고리즘을 이용하여 퍼지 모델의 구조와 파라미터를 설정하는 알고리즘을 제안하였다. 퍼지 함의 규칙의 전건부 구조와 파라미터를 동정하기 위해 GMDH 알고리즘과 퍼지 추론을 사용하였고 최적의 후건부 파라미터를 동정하기 위해 최소 자승법을 사용하였다. 제안된 모델링 방법의 성능을 평가하기 위해서 가스로 시계열 데이터와 하수처리 데이터를 사용하였다. 제안된 방법을 사용하면 다른 모델에 비해 우수한 성능을 가진 지능 모델을 얻을수 있다. The Proposed fuzzy modeling implements system structure and parameter identification using the GMDH(Group Method of Data Handling) Algorithm. In this method, We use the GMDH algorithm and fuzzy inference to identify the premise structure and parameter of fuzzy implication rules and least square method to identify optimum consequence parameter. Time seris data for gas furnace and wastewatertreatment data are used for purpose of evaluating the performance of the proposed fuzzy.

바퀴, Blattella germanica (Linnaeus),개체군의 크기와 발육속도를 예측하기 위한 온도의존 Simulation Model의 구성

權太晟,全胎秀 부산대학교 환경문제 연구소 1985 環境硏究報 Vol.3 No.-

By using temperature as a key variable, a simulation model was constructed to predict the size and development speed of the German cockroach population through 3 research steps. First, data for developmental units and survival rates at each life stage were obtained through rearing experiments at five different temperatures. Secondly, biological parameters needed for modeling were obtained based on these rearing results. And thirdly a basic life model was constructed in a simulative framework in FORTRAN for predicting populatiion development on the individual basis. To save memory space in computer programming, two files were utilized in translocating individual informations each other as time proceeded. The developed simulation model showed flexibility and applicability in representing insect life system and could be efficiently used as strategic tool in managing the cockroach population.

퍼지-뉴럴 네트워크에 의한 퍼지동정

안태천,황형수,오성권 圓光大學校 1994 論文集 Vol.28 No.2

본 논문에서는 복잡한 비선형 시스템을 모델링하기 위해 퍼지-뉴럴네트워크(FNNs)를 사용한 퍼지규칙의 최적 동정 방법이 제안된다. FNNs는 역전파 알고리즘과 Sugeno의 퍼지추론 방법의 결합으로 구성된다. 퍼지규칙의 구조동정은 기존의 동정에서 반복적인 퍼지분할을 피하기 위해 퍼지 c-means클로스터링을 이용해서 수행된다. FNNs는 퍼지규칙의 전·후반부 파라미터를 동정하기 위해 사용된다. 최적 퍼지규칙을 얻기 위해, FNNs는 학습율과 모멘텀 계수가 수정된 컴플렉스법을 이용하여 자동동조 된다. 가스로 공정의 시계열 데이타는 제안된 규칙베이스 퍼지 모델리의 성능을 평가하기 위해 사용된다. 제안된 모델링 방법이 다른 논문과 비교시 더 높은 정확도를 가진 퍼지모델을 생성함을 보인다. In this paper, an optimal identification method of fuzzy rules using fuzzy neural networks(FNNs) is proposed in order to model the nonlinear complex systems. FNNs are composed by combining back-propagation algorithms and Sugeno's linear fuzzy inference method. The structure identification of fuzzy implication rules is carried out utilizing fuzzy c-means clustering in order to avoid the iterative fuzzy partition in the conventional identification and FNNs are used to identify parameters of premise and comsequence part of fuzzy implication rules. To obtain the optimal fuzzy rules, the learning ratio and momentum coefficients of FNNs are tuned automatically utilizing the modified complex method. Time series data for gas furance are used to evaluate the performance of the proposed rule-based fuzzy modeling.

구리 독성에 기인하는 비정상적인 어류행동의 신경생화학적 분석

신성우,조현덕,전태수,김정상,이성규,고성철 한국환경독성학회 2003 환경독성보건학회지 Vol.18 No.2

The goal of this study is to develop a biomarker used in monitoring abnormal behaviors of Japanese medaka (Oryzias latipes) as a model organism caused by hazardous chemicals. Japanese medaka was treated by copper of appropriate sublethal concentrations after starvation for 48 hr, The untreated individuals showed common behavioral characteristics (i.e., smooth and linear movements). Locomotive activity of the fish was monitored using an image processing and automatic data acquisition system. When treated with copper (100 ppb), the fish showed shaking patterns more frequently. As the concentration of copper increased to 1,000ppb, activity decreased, and the fish showed an erratic movement. Fish were exposed to copper at various concentrations (0, 100 and 1,000 pph) for 24 hrs, and acetylcholine esterase (AChE) activity was observed. When fish were exposed to 1,000 ppb of copper, the body AChE activities appeared to decrease but the head AChE activities showed little change. Expressions of tyrosine hydroxylase (TH) protein in the different organs from both head (brain) and body(kidney) portions affected by the copper treatment were analyzed using immunohistochemical technique compared with control. Five organs of the fish (olfactory bulb, hyothaiamus, optic lobe, pons and myelencephalon regions) showed a relatively strong TH protein expression in the control experiment. A differential expression of TH, however, was observed in the treatment (100 ppb and 1,0M ppb). The treatment (1,000 ppb) significantly suppressed TH protein production in the brain regions. In kidney, however, the same treatment caused little suppression compared with the control. Copper appeared to be less effective in suppression of TH than diazinon, a known TH suppressor. It was concluded that TH could be used as a potential biomarker to monitor the acute copper toxicity in Japanese medaka.

Fluoranthene 독성에 기인하는 비정상적 어류행동의 신경생화학적 분석

신성우,조현덕,전태수,김정상,이성규,고성철 한국환경독성학회 2003 환경독성보건학회지 Vol.18 No.2

Fluoranthene, a common polycyclicaromatic hydrocarbon (PAH), exhibits phototoxicity which may affect aquatic organisms, The eventual goal of this study is to develop a biomarker of Japanese medaka (Oryzias iatipes) used in monitoring hazardous chemicals in the ecosystem. In this study we investigated neural toxicity of fluoranthene in Japanese medaka (Oryzias latipes) along with comparative analysis of corresponding behavioral responses. The untreated individuals showed normal behavioral characteristics (i.e' smooth and linear movements). The treated fish, however, showed stopping and abrupt change of orientation (100 ppb), and severely reduced locomotive activity and enhanced surfacing activity (1,000ppb). Treatment of the medaka fish with fluoranthene caused a significant suppression of acetylcholine esterase (AChE) activities in the body portion but not in the head portion. When fish were exposed to 1,000pph of fluoranthene for 24hr, the body AChE activities decreased from 126.±31.89 (nmoles substrate hydrolyzed per min per mg protein) 10 49.51 ± 11.99. Expressions of tyrosine hydroxylase (TH) protein in the different organs from both head and body portions were comparatively analyzed using an immunohistochemical technique. Five organs of the medaka fish showing a strong TH protein expression were the olfactory bulb, hypothalamus, optic lobe, pons and myelencephalon regions. This study provides molecular and neurobehavioral bases of a biomonitoring system for toxic chemicals using fish as a model organism.

Pattern Recognition of Long-term Ecological Data in Community Changes by Using Artificial Neural Networks: Benthic Macroinvertebrates and Chironomids in a Polluted Stream

Chon, Tae-Soo,Kwak, Inn-Sil,Park, Young-Seuk The Ecological Society of Korea 2000 Journal of Ecology and Environment Vol.23 No.2

On community data. sampled in regular intervals on a long-term basis. artificial neural networks were implemented to extract information on characterizing patterns of community changes. The Adaptive Resonance Theory and Kohonen Network were both utilized in learning benthic macroinvertebrate communities in the Soktae Stream of the Suyong River collected monthly for three years. Initially, by regarding each monthly collection as a separate sample unit, communities were grouped into similar patterns after training with the networks. Subsequently, changes in communities in a sequence of samplings (e.g., two-month, four-month, etc.) were given as input to the networks. After training, it was possible to recognize new data set in line with the sampling procedure. Through the comparative study on benthic macroinvertebrates with these learning processes, patterns of community changes in chironomids diverged while those of the total benthic macro-invertebrates tended to be more stable.

Theory, modelling and applications in ecological sciences

Tae-Soo Chon 한국응용곤충학회 2021 한국응용곤충학회 학술대회논문집 Vol.2021 No.10

Computation Applied to Biological and Ecological Sciences under Integrative Perspectives

Tae-Soo CHON 한국산업응용수학회 2007 한국산업응용수학회 학술대회 논문집 Vol.3 No.2

A Study on the Population Dynamics of Overwintered Small Brown Planthopper, Laodelphax striatellus (Fallen)

Chon, Tae-Soo,Hyun, Jai-Sun,Park, Chung-Soo 한국곤충학회 1975 Korean journal of entomology Vol.5 No.2

1978년부터 1975년까지 2개년의 월동기간중 수원근교 4개지점에서 애멸구개체군 월동세대의 월동후동태를 정기적으로 조사하여 다음과 같은 결과를 얻었다. 1. 월동기 절족동물군의 밀도는 월동처의 식피상태의 풍요도와 관계가 있었다. 2. 개밀, Agropyron kamijo는 애멸구 월동세대의 중요한 기주로 생각된다. 3. 일년생 화본과식물은 월동후 고충의 식초가 된다. 4. 월동태는 90% 이상이 4령충이고 3령충과 5령충은 10% 이내였다. 5. 월동세대고충의 발육영점 온도는 7.7-10.97$^{\circ}C$이고 지역적인 차는 4영충에 뚜렷하였으며 총유효적산온도는 95~118일도였다. 6. 애멸구월동고충을 실외에서 사육하여 50% 5령충일은 3월 3l일, 50% 성충우화월은 4月 12-22일이었다. 7. 성충우화시는 4월말경이고 월동처에서 추파춘전으로 이동한다. 따라서 1960년 이후의 애멸구 피해면적증대는 추파맥재배면적의 확대와 밀접한 관계가 있는 것으로 생각된다. The ecology of the overwintering population of L. striatellus has been studied during the years from 1973 to 1975. Periodical surveys were conducted with a suction catcher in four sites in Suwoen area. The following results were obtained: 1. The 1 grasses, especially Agropyron kamijo, seems to be an important host plants for the owverwintering populations of L. striatellus. 2. More than 90% of the overwintering nymphs of L. striatellus were the 4 th instar and less then 10% were the 3 rd and the 5th instars, and the total effective day degrees for the development ranged from 9.70 to 10.97$^{\circ}C$ with the total effective day degrees for the development from 95 to 118 day degrees. 3. When field collected nymphs of L.striatellus were reard on rice seedling in a test tube, the day on which more than 50% of the 4th instar nymphs developed to the 5th instar was on March 31, and to adult was on 12-22 of April. 4. L.striatellus disperses into barley fields in late April when most of the insects developed into adults. There seemed to be some dispersal of the 5 th instar nymphs where the barley field was located very close to the levees.