• 제목/요약/키워드: Ecological data

검색결과 2,092건 처리시간 0.023초

InVEST 모델을 이용한 서식처 가치 평가 - 제주도를 중심으로 - (Habitat Quality Valuation Using InVEST Model in Jeju Island)

  • 김태연;송철호;이우균;김문일;임철희;전성우;김준순
    • 한국환경복원기술학회지
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    • 제18권5호
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    • pp.1-11
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    • 2015
  • Jeju Island is managed intensively in terms of environmental and ecological aspect because of its extraordinary ecosystem types comprising numerous rare, protected flora and fauna. To depict rapid change of habitat status in Jeju Island, the InVEST Habitat Quality model has been operated and compared analytically with the Eco-Natural map. The Habitat Quality map of Jeju Island is turned out to have similar inclination with Eco-Natural map. We compared the average habitat quality value in each Eco-natural map class in Jeju Island and the habitat quality value of first second third grade and non-included area decreased as 0.95 0.76, 0.53 and 0.37 in eco natural map respectively. Compared to biodiversity map based on biological investigation, the result of the InVEST habitat quality model can be simply obtained by land cover map with threat and sensitivity data. Further studies are needed to make explicit coefficients for Jeju Island and Korean peninsula, then the Habitat Quality model could be applied to past and future scenarios to analyze extent of habitat degradation in time series to help decision makers.

생태학습장 이용객의 지각된 성과에 의한 만족도 연구 (A Study on User Satisfaction by Perceived Performance of Ecological Learning Center)

  • 박청인;김종해
    • 한국환경과학회지
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    • 제19권8호
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    • pp.1057-1066
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    • 2010
  • An ecological learning center is defined as a place which can establish the correct relationship between human and environment. Human can learn ecosystem and importance of environment throughout observation of nature and participation in program of ecological learning center. The most important aspects of ecological learning center planning are to reflect on user's demand and preservation of ecosystem. The prime goals of this study is to analyze user's characteristics in the Young Wheol Mulmurigol Ecological Learning Center. The second goal of this study is to find out the satisfaction model based on user's perceived performance of each program and facility in the center. For this study, questionnaire survey with 204 individuals was completed. The data from the questionnaire were analyzed statistical method by SPSS. There are several significant results from the study as following First, this ecological learning center as a newly operating facility is used not for educational purpose but for resting and relaxation purpose. It is due to that the most of users in this center are package tourists with historic scenes. Second, user's perceived performance evaluated by 23 attributions of programs and facilities, and these attributions could be classified by 5 factors such as environment friendly design, educational function, preservation of environment, provision of various bio-top and provision of resting area. Third, the user satisfaction model indicates that user satisfaction is depended on various factors such as preservation of environment, provision of various bio-top, provision of resting area. Among these factor affecting the satisfaction, provision of various bio-top is the most influence on user satisfaction.

Taxonomic Status of Endemic Plants in Korea

  • Kim, Kun-Ok;Hong, Sun-Hee;Lee, Yong-Ho;Na, Chae-Sun;Kang, Byeung-Hoa;Son, Yo-Whan
    • Journal of Ecology and Environment
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    • 제32권4호
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    • pp.277-293
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    • 2009
  • Disagreement among the various publications providing lists of Korean endemic plants makes confusion inevitable. We summarized the six previous reports providing comprehensive lists of endemic plants in Korea: 407 taxa in Lee (1982), 570 taxa in Paik (1994), 759 taxa in Kim (2004), 328 taxa in Korea National Arboretum (2005), 515 taxa in the Ministry of Environment (2005) and 289 taxa in Flora of Korea Editorial Committee (2007). The total number of endemic plants described in the previous reports was 970 taxa, including 89 families, 302 genera, 496 species, 3 subspecies, 218 varieties, and 253 formae. Endemic plants listed four times or more were collected to compare the data in terms of scientific names and synonyms (339 taxa in 59 families and 155 genera). If the varieties and formae were excluded, the resulting number of endemic plants was 252 taxa for the 339 purported taxa analyzed. Seven of the 155 genera analyzed were Korean endemic genera. Among the 339 taxa, the same scientific names were used in the original publications for 256 taxa (76%), while different scientific names were used for 83 taxa (24%). The four largest families were Compositae (42 taxa, 12.4%), Ranunculaceae (19 taxa, 5.6%), Rosaceae (19 taxa, 5.6%), and Scrophulariaceae (19 taxa, 5.6%). Saussurea (Compositae) had the highest number of taxa within one genus (17 taxa; 5% of total endemic taxa).

환경 친화적 소비자 교육이 생태 발자국에 미치는 영향 (The Effects of Eco-Friendly Consumer Education on Ecological Footprint)

  • 윤여찬;최돈형
    • 한국환경교육학회지:환경교육
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    • 제20권2호
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    • pp.67-77
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    • 2007
  • The purpose of this study is to investigate the change in ecological footprint made by the eco-friendly consumer education program, and ultimately, to help the high school students, future consumers, have eco-friendly attitude. This study will be contributed to helping them to understand the importance of the eco-friendly consumption and the seriousness of the environmental problems arising from their bad consumption habit, to get interested in the environmental problems in daily lives, and to reduce the ecological footprint through the eco-friendly habit acquired when young. This study is designed to have 60 high school students experience the eco-friendly consumer education program for 10 months and compare the levels of each ecological footprint though two different Questionnaires in five sections: housing, food, transportation, purchase, and waste. The program used in this research consists of three parts: eco-friendly attitude education for consumers, eco-friendly citizen education for consumers, and eco-friendly resource management education for consumers. The data are analyzed by SPSS Window 10.0 program. The findings are as follows: First. The eco-friendly consumer education is more likely to help the students develop critical thought and eco-friendly attitude, unlike the economy-related consumer education. Second. The level of ecological footprint is significantly decreased in the group with the eco-friendly consumer education program. compared to the group without it. Third. Experiencing the eco-friendly consumer education program helps the students have the positive attitude on ecology and lead an environmentally sustainable consumer life. The results show that eco-friendly consumer education can make a contribution to raising the good citizens who have eco-friendly attitude and behavior, lead sustainable consumer life, and try to reduce the level of ecological footprint.

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Impact of COVID-19 Infection on Work Functioning in Japanese Workers: A Prospective Cohort Study

  • Makoto Okawara;Keiki Hirashima;Yu Igarashi ;Kosuke Mafune ;Keiji Muramatsu ;Tomohisa Nagata ;Mayumi Tsuji ;Akira Ogami ;Yoshihisa Fujino
    • Safety and Health at Work
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    • 제14권4호
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    • pp.445-450
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    • 2023
  • Background: The impact of COVID-19 infection on workers' work function persists even after the acute phase of the infection. We studied this phenomenon in Japanese workers. Methods: We conducted a one-year prospective cohort study online, starting with a baseline survey in December 2020. We tracked workers without baseline work functioning impairment and incorporated data from 14,421 eligible individuals into the analysis. We estimated the incidence rate ratio for new onset of work functioning impairment due to COVID-19 infection during follow-up, using mixed-effects Poisson regression analysis with robust variance. Results: Participants reporting infection between January and December 2021 showed a significantly higher incidence of new work functioning impairment (adjusted incidence rate ratio: 2.18, 95% confidence interval: 1.75-2.71, p < 0.001). The formality of the recuperation environment correlated with a higher risk of work functioning deterioration in infected individuals (p for trend <0.001). Conclusion: COVID-19-infected workers may continue to experience work difficulties due to persistent, post-acute infection symptoms. Companies and society must urgently provide rehabilitation and social support for people with persistent symptoms, recognizing that COVID-19 is not just a transient acute infection.

EXTRACTING OUTLINE AND ESTIMATING HEIGHT OF LAND FEATURES USING LIDAR DATA

  • Lee, Woo-Kyun;Song, Chul-Chul
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2006년도 Proceedings of ISRS 2006 PORSEC Volume I
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    • pp.181-183
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    • 2006
  • Digital topographic map in Korea contains layers of spatial and attribute data for 8 land features such as railroads, watercourses, roads, buildings and etc. Some of the layers such as building and forest don't include any information about height, which can be just prepared by interpretation of remote sensed data or field survey. LiDAR(Light Detection And Ranging) data using active pulse and digital camera provides data about height and form of land features. LiDAR data can be used not only to extract the outline of land features but also to estimate the height. This study presents technical availability for extraction and estimation of land feature's outline and height using LiDAR data which composes of natural and artificial land features, and digital aerial photograph which was taken simultaneously with the LiDAR. The estimated location, outline and height of land features were compared with the field survey data, and we could find that LiDAR data and digital aerial photograph can be a useful source for estimating the height of land features as well as extracting the outline.

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전국 논 토양 이산화탄소 배출량 추정을 위한 DNDC 모형의 국내 적용성 평가 (Evaluating the Applicability of the DNDC Model for Estimation of CO2 Emissions from the Paddy Field in Korea)

  • 황원재;김용성;민현기;김정규;조기종;현승훈
    • 환경생물
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    • 제35권1호
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    • pp.13-20
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    • 2017
  • 본 연구는 대한민국 전역을 대상으로 국외에서 개발된 토양 온실가스 배출 모형인 DNDC 모형을 적용하여 논 토양에서 배출되는 $CO_2$를 추정하였다. 모형의 국내 적용성 평가를 위해서 2015년부터 2016년 경기도 지역 논 토양을 대상으로 폐쇄형 챔버를 이용해 $CO_2$ 배출량을 실측하고, 모형으로부터 산출된 추정값과 비교했다. DNDC 모형 검증결과 추정값과 관측값의 RMSE, ME, $r^2$이 각각 22.2, 0.28, 0.53으로 통계적으로 신뢰할 수 있었다. 전국 $CO_2$ 배출량 예측 결과, 연간 총 배출량은 $5,314kt\;CO_2-eq$이며 이는 전국 $CH_4$ 총 배출량의 77% 수준이었다. 행정구역별로는 전라도가 가장 많은 배출량을 보였으며, 논의 면적이 많을수록 총 배출량이 높았다. 국토의 단위면적당 $CO_2$ 배출량은 $2.2{\sim}10.0t\;CO_2-eq\;ha^{-1}year^{-1}$ 범위에 있었으며, 평균값은 $4.3t\;CO_2-eq\;ha^{-1}year^{-1}$ 이었다. 지역적으로는 한반도 중부지역 보다 남부지역에서 단위면적당 배출량이 더 높게 나타났다. 본 연구를 통해서, DNDC 모형은 국내 논 토양에서 배출되는 $CO_2$ 발생량을 유의하게 모의한 것으로 나타났다. 보다 더 정교한 온실가스 예측을 위해서는 기후특성, 토양특성, 작물경작특성 및 작물생육 특성을 고려하여 예측하는 것이 중요하며, DNDC 모형의 신뢰도를 높이려면 국내 농업생태계의 환경 및 생물인자를 모의할 수 있는 세부모형을 개발하는 것이 필요하다.

원격탐사와 지리정보시스템의 산림분야 활용 (Application of Remote Sensing and Geographic Information System in Forest Sector)

  • 이우균;김문일;송철호;이슬기;차성은;김강선
    • 지적과 국토정보
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    • 제46권2호
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    • pp.27-42
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    • 2016
  • 산림은 우리나라 토지피복 면적의 64%에 해당하는 넓은 면적을 차지한다. 이와 같이 넓은 면적의 산림을 조사, 모니터링, 관리하기 위해서는 원격탐사 및 지리정보시스템 기술이 필수적이다. 위성영상의 분광반사 특성을 이용하여 임상 및 수종분류가 가능하며, 이를 통해 임상도를 제작할 수 있다. 3차원 자료인 LiDAR를 이용하여 개체목의 위치와 수고 측정, 이를 통해 바이오매스와 탄소량 추정이 가능하다. 그 외에도 대상물의 반사특성을 이용해서 각종 지수들이 추출될 수 있는데, 예를 들어 식생지수와 표면토양지수 등을 통해 식생의 활력도와 산림 황폐화 정도를 파악 할 수 있다. 이러한 식생지수들의 변이를 파악하여 소나무 재선충병, 참나무 시들음병 등의 조기탐지 및 관리도 가능하다. 또한 A/R CDM, REDD+ 등 최근 기후변화 대응 사업에 있어서 원격탐사는 사업성 판단과 이산화탄소 흡수 및 저장량을 산정하는데 중요한 역할을 하고 있다. 기후변화 취약성 평가에서는 지리정보시스템의 시공간자료를 이용하여 국가 및 지자체 단위의 취약성이 시공간적으로 평가되고 있다. 또한, 시공간자료를 영향변수로 추가시킨 각종 모델을 통해 산림생장, 입목고사, 산사태 및 산불 등의 예측이 시공간적으로 이루어 질 수 있다.

생태계 보호지역 평가에서 생태공학 도입과 활용 (Application of An Ecological Engineering Approach in Evaluating Protected Area at Local Scales)

  • 구경아
    • 환경영향평가
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    • 제29권2호
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    • pp.144-155
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    • 2020
  • 본 연구에서는 다양한 생태계의 보전 및 생물다양성 보전과 증진을 통한 생태계의 지속가능한 이용을 위하여 우리나라 생태계 보호지역 확대를 위한 평가기법과 이의 정책적 활용 방향을 제시하였다. 이를 위하여 첫째, 생태계 보호지역 평가기법 활용 현황을 분석하였고, 둘째, 생태공학 기법을 기반으로 지역 규모의 생태계 보호지역 평가를 위한 개념 모형을 제시하였으며, 셋째, 이러한 분석 결과의 활용 방안을 제언하였다. 국외에서 보호지역 지정 시 다양한 분석 모형을 활용하고 있는 것과 달리, 우리나라의 경우 장기 생태계 모니터링 및 생태연구 자료가 부족하여 보호지역 지정 분석기법의 개발 및 적용이 미흡한 상태이다. 특히 미소 규모나 지역 규모보다는 국가 규모의 분석에 기반한 보호지역 지정이 주를 이루고 있어 지역 규모의 다양한 생태계가 반영되지 못하고 있다. 보호지역의 합리적인 지정과 효과적인 관리를 위해서는 다양한 인자들과 인자들 간의 상호작용을 고려한 지역 규모의 종합분석이 필요하며, 이를 위하여 본 연구에서는 생태공학 기법을 토대로 한 보호지역 분석의 개념 모형을 제시하였다. 본 연구에서 제시한 생태계 보호지역 분석은 다양한 생물 인자 및 비생물 인자, 그리고 이들의 상호작용 및 미래 환경변화를 고려한 각 지역 생태계의 특성을 반영하기 때문에 현재 우수한 생태계뿐만 아니라 앞으로 중요하게 보호해야 할 생태계를 보호지역으로 편입할 수 있는 근거를 제시하였다. 그러나 본 연구에서 제시한 분석 기법의 충분한 활용을 위해서는 각 지표항목과 지표항목에 속하는 인자들에 대한 개별 생태연구 자료 및 공간자료가 필요하다. 이러한 분석의 한계를 해결하기 위해서는 장기간의 생태자료와 종별 서식지 환경조건에 대한 연구 자료가 필요하며 서식지 모형, 생태모형, hybrid 모형 등 경관생태모형을 활용한 분석이 필요하다.

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 Korean Journal of Ecology
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    • 제23권2호
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    • pp.89-100
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    • 2000
  • 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.

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