스마트팜형 시설 딸기에 예찰 없이 작물 정식 초기에 천적을 먼저 적용하는 생태공학적 Natural Enemy in First (NEF) 기법이 총채벌레류 와 진딧물류의 밀도에 미치는 영향을 확인하였다. 대조구는 약제를 처리하여 비교하였다. NEF 처리구에서 총채벌레류와 진딧물류의 천적과 서식 처로 참멋애꽃노린재와 Portulaca sp.를 적용하여 작기 종료시점까지 해충의 밀도를 대조구와 유사하게 효과적으로 관리할 수 있었다.

본 연구는 고등학생의 건강증진행위를 설명하기 위한 가설적 모형을 구축하고 검증하기 위해 시도되었다. 연구대상자는 경기도 소재의 고등학교에 재학중인 1∼3학년 학생 395명을 대상으로 구조화된 설문지를 이용하여 2017년 12월01일부터 12월22일까지 자료를 수집하였다. 본 연구의 외생변수는 가족기 능, 친구지지, 학교생활환경, 지역사회 사회자본이고 내생변수는 자기효능감, 자기조절능력과 건강증진행위 이다. 수집된 자료는 SPSS 21.0과 AMOS 22.0 프로그램을 이용하여 분석하였다. 연구결과, 최종 수정모형 은 권장수준을 만족하여 가설적 모형에 비해 적합도와 간명도가 향상된 것으로 나타났다: χ2/df=1.96, GFI=.90, AGFI=.88, CFI=.94, TLI=.93, RMSEA=.05, SRMR=.06. 가설적 모형에서 설정한 13개의 경로 중 4개는 기각되었고 9개의 경로는 통계적으로 유의하였다. 이들 경로에 포함된 변수는 가족기능(β=.57), 자기효능감(β=.29), 자기조절능력(β=.14), 지역사회 사회자본(β=.14), 친구지지(β=.13)로 설명력은 86%이었다. 따라서 역기능적 가정과 해당 가정의 청소년의 건강증진행위를 위한 사회적지지 체계를 구축 하고 학교를 포함한 지역사회 환경조성을 위한 프로그램 개발이 필요하다.

The objective of this study was to describe the development and testing of an initial ecological health assessment model, based on the index of biological integrity (IBI) using fish assemblages, before establishing the final and currently used model for ecological health assessment, conservation and management of freshwater fish in Korea. The initial fish IBI model was developed during 2004~2006 and included 10 metrics, and in 2007 the final IBI 8-metric model was established for application to streams and rivers in four major Korean watersheds. In this paper, we describe how we developed fish sampling methods, determined metric attributes and categorized tolerance guilds and trophic guilds during the development of the multi-metric model. Two of the initial metrics were removed and the initial evaluation categories were reduced from six to four (excellent, good, fair, poor) before establishing the final national fish model. In the development phase, IBI values were compared with chemical parameters (BOD and COD as indicators of organic matter pollution) and physical habitat parameters to identify differences in IBI model values between chemical and physical habitat conditions. These processes undertaken during the development of the IBI model may be helpful in understanding the modifications made and contribute to creating efficient conservation and management strategies for stream environments to be used by limnologists and fish ecologists as well as stream/watershed managers.

The objective of this study was to develop an index of biological integrity (IBI) for national-level monitoring of watersheds as an ecosystem health assessment methodology for the South Korean government. A 10-metric IBI model (IBIKW) was developed for watershed management and then applied to 76 streams in four major watersheds in Korea. The model assessments showed that 32.9% of all streams were judged to be in ‘excellent-good’ condition, whereas 67.1% were in ‘fair-poor’ condition, indicating severely impaired ecological health. Nutrient analyses of stream water revealed a two- to fivefold increase in nutrient and biological oxygen demand (BOD) levels in urban- and cropland-dominant streams compared to forest- dominant streams. The guild structure within the watersheds indicated that tolerant species were predominant in severely degraded regions (BOD>6 mg/L), and sensitive species were distributed in regions with BOD<2 mg/L. Factors affecting ecosystem health (IBIKW scores) included chemical water quality parameters, physical habitat parameters and land use around the stream. In particular, land use was one of the major factors influencing ecosystem health, as indicated by the strong relationships between the percentages of urban and forest streams and the IBIKW scores. The integrated ecosystem health assessment technique developed here can be applied for both regular bioassessments and post-restoration assessments.

The study objectives were to evaluate the aquatic environment of an urban stream using various ecological parameters of biological biomarkers, physical habitat and chemical water quality and to develop a “Multi-metric Eco-Model” (Mm-E Model) for the ecosystem evaluations. The biomarkers of DNA, based on the comet assay approach of single-cell gel electrophoresis (SCGE), were analyzed using the blood samples of Zacco platypus as a target species. The condition factor (CF) as key indicators of the population evaluation indicator was analyzed along with the weight-length relation and individual abnormality. The four metrics of Qualitative Habitat Evaluation Index (QHEI) were added for the evaluations of physical habitat. In addition, the parameters of chemical water quality were used as eutrophic indicators. Our results suggested that attributes of biomarkers and bioindicators in the impacted zone (Iz) had sensitive response largely to the chemical stress (eutrophic indicators) and also partially to physical habitat quality, compared to the those in the control zone. Hereafter, applying Multimetric Eco-Model to stream ecosystem, it will be able to evaluate ecological health state.

본 연구는 도시숲을 경관생태학적으로 해석하고 평가하기 위한 모형 개발과 적용을 통해 평가의 실효성을 검증하는 것을 목적으로 한다. 연구결과를 요약하면 다음과 같다. 평가지표는 층위구조, 입지상태, 활엽수구성비율, 식생구성종수 등 17개이다. 평가지표 간 상관관계분석 결과, 높은 관계성을 가진 것은 임령(X8)과 공간형성기간(X10)으로 상관계수가 0.684로 나타났으며, 부(-)의 상관성을 가진 지표들은 층위구조(X1)와 위험성(X13)으로 상관계수가 -0.412로 분석되었다. 평가모형구축을 위한 다중회귀분석 결과, 10개의 모형이 도출되었으며, 총 17개 변수 중 층위구조(X1), 식생구성종수(X4) 등을 제외한 입지상태(X2), 활엽수구성비율(X3) 등 10개의 변수만이 유의확률 95%에서 통계적으로 유의하였다. 모형의 회귀식과 합산평가 매트릭스법과 비교분석 결과, 모형 3의 회귀식이 정확도 91.7%로써 전체 10개 모형 중 가장 정확한 결과를 나타내는 것으로 분석되었다. 향후 지속적인 모니터링을 통해 평가모형에 대한 정확도 증진기법에 대한 연구도 함께 수행되어야 할 것이다.

본 연구는 산불피해지역 식생구조 분석을 통한 생태적 식생복원 모델을 제시하고자 2000년도에 산불이 발생하여 사방사업차원에서 잣나무, 자작나무 등을 조림한 영인산 자락 일대를 대상으로 하였다. 현존식생 조사대상지로 선정한 1,152,404.3m2 중 산불지역은 69.2%이었고 이중 관목숲이 24.67%로 가장 넓었다. 현존식생유형과 산불피해상태를 고려해 설정한 27개 조사구(단위면적 100m2)를 분석한 결과 10개 군락으로 구분되었다. 산불지역은 관목층 식생이 우점하였고 잣나무군락, 굴참나무군락, 곰솔군락, 졸참나무군락, 자작나무군락으로 나뉘어졌고 비산불지역은 소나무군락 상수리나무군락, 졸참나무군락, 신갈나무-졸참나무군락, 자작나무군락으로 구분되었다. 종다양도는 산불지역이 0.3679~0.5907로 비산불지역 0.5728~0.8865보다 낮았다. 출현종수는 산불지역이 5~8종으로 비산불지역 8~12종보다 작았으며 개체수는 산불지역 (156~465개체)이 비산불지역(61~227개체)보다 많았다. 100m2당 층위별 생육밀도 분석결과 교목층에서는 신갈나무가 1~8주, 졸참나무가 3~5주, 아교목층에서는 졸참나무 2~4주, 신갈나무 1주 등이 출현하였다. 토양의 경우 산불지역 pH가 5.45로 비산불지역 pH 5.25보다 높았다. 식생복원모델은 천이 중간단계에 해당하는 신갈나무-졸참나무 중경목군락을 모델로 설정하여 식재종과 식재밀도 그리고 식재모델을 제시하였다.

Water quality of the Koejong-reservoir was estimated by using the ecological model to evaluate the effects of industrial sewage discharge. State variables consist of POC, DOC, phytoplankton, DIP, DIN, DO and COD. Initial conditions for the compartment are applied to the model based on the observed results. The reproducibility was found to be satisfactory with the relative error ranging between the calculated value and the observed value. Water quality simulation was conducted by applying additional industrial sewage discharge into the Koejong-reservoir. The concentrations of COD, Chl.a, DIP and COD showed fluctuations of a narrow range. The increment percentages of Chl.a, COD and DIP were 26.6%, 20.2% and 18.2%, respectively. In the case of DO, the concentration decreased 4.8%.

Reckless development policy, which has continued during the past several decades, caused landscape damage. In order to solve this problem, it is very urgent to conserve the habitat and to establish systematic database. Recently, various researches related to landscape damage have been conducted actively and the necessity of landscape ecological planning based on the biotop mapping has been issued as one of the solutions. Therefore, the purpose of this study is to select the study area, which is located in Guji-meon, Dalseong-gun, Daegu and will be formed into Daegu Science Park, and then to develop and apply the landscape ecological planning model based on biotop mapping in district unit. The results are as follows. Fist of all, according to the results of biotop classification with field survey and literature review, total 13 biotop and total 63 biotop types were classified. According to the first evaluation with B-VAT, total 19 biotop types were classified I grade including natural river with abundant plants(BA) and so on. While V grade, which has lowest value, was classified 16 biotop types including vegetable garden adjacent to river(BC). Also the second evaluation, we analyzed total 30 areas such as 1a, 1b grades, which had special meaning for the conservation of species and biotop. Next, 2a, 2b, 2c grades were analyzed total 82 areas. Secondly, in the compliance with Ecological landscape planning, we divided landscape planning model into two parts such as setting of improvement goal and detailed implement plan. For instance, setting of improvement goal, we classified 9 parts such as conservation region and parts of detailed implement plan, we classified total 28 planning indicators with 4 view such as the region which should be special protected from nature and landscape. Lastly, with the developed landscape model we applied to research areas, made maps, and differentiate proposals in each region. Specially, the final master plan was made to help understand the contents of detailed landscape planning. This study will be a useful data, which can solve the landscape damage problem systematically and control it landscape-friendly with biotop classification, evaluation, landscape ecological planning model, and application method which we developed.

A ecosystem model was applied for understanding of circulation process of state variables in marine ecosystem. A mass balance was conducted by calculating the physical process. The sensitivity analysis was conducted to know which coefficient is the most effective factor to the state variables in the model. The results of the mass balance indicate that the primary production was 58.6 ton C/day in the case of mass flux. DIN and DIP in nutrient ingestion of phytoplankton were each 7.9 ton N/day, 1.1 ton P/day. POC and DOC in mineralization of organic matter were each 10.8 ton C/day, 40.6 ton C/day. The results of sensitivity analysis showed that the maximum growth rate of phytoplankton was the most important factor for overall state variables. In the case of nutrients, Half saturation constant of DIN, and mineralization rate of DOM for COD were important factor.

To find proper water quality management strategy for oxygen consumption organic matters in Jinhae bay, the physical process and net supply/decomposition in terms of COD was estimated by three-dimensional eco-hydrodynamic modeling. The estimation results of physical process in terms of COD showed that transportation of COD was dominant in loading area from land to sea, while accumulation of COD was dominant in middle～bottom level. In case of surface level, the net supply rate of COD was 0～60 mg/m2/day. The net decomposition rate of COD was 0～-0.05 mg/m2/day(-5～-10 m, in depth) to 2 level, and -0.05～-0.20 mg/m2/day(10 m ～) to bottom level. These results indicate that the biological decomposition and physical accumulation of COD are occurred for the most part of Jinhae Bay bottom. The variation of net supply or net decomposition rate of COD as reducing land based input loading is also remarkable. Therefore, it is important to consider both allochthonous and autochthonous oxygen demanding organic matters to improve the water quality of Jinhae Bay.

The three-dimensional eco-hydrodynamic model was applied to estimate the autochthonous COD caused by production of phytoplankton in Jinhae Bay. A residual current was simulated, using a hydrodynamic model, to have a sightly complicated pattern in the inner part of the bay, ranging from 0.001 to 5 cm/s. In the outer part of the bay, the simulated current flowed out to the south sea with a southward flow at a maximum of 25 cm/s. The results of the ecological model simulation of COD levels showed high concentrations, exceeding 4 mg/L, in the inner bay of Masan, an area of wastewater discharge, and lower levels, approaching less than 1 mg/L, closer to the outer part of the bay. The simulation results of Autochthonous COD by two methods using ecological modeling, showed high ratio over 70% of total COD. Therefore, it is more important to consider nutrients than organic matters in the region for control COD standard.