• Title/Summary/Keyword: ecosystem monitoring

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The Ecological Management on Consideration of Vegetation Structure at Goduck Riverside Restoration Area in Hangang, Seoul (서울시 한강변 고덕 수변 생태복원지의 식물생태특성을 고려한 생태적 관리방안)

  • 이경재;한봉호;김정호;배정희
    • Journal of the Korean Institute of Landscape Architecture
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    • v.32 no.2
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    • pp.86-101
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    • 2004
  • This study was conducted to present the ecological management of Goduk Riverside Restoration Area in Hangang, Seoul by analyzing the change of the vegetation structure. The survey site was classified into three groups. These were the vegetation restoration area, the dry plant area, and the swampy plant area. There were 141 taxa including naturalized plants and 13 species recorded in 2001 and 258 taxa including naturalized plants and 42 species were recorded in 2003 by monitoring. Monitoring results showed that the alien plants such as Humulus japonicus expanded continuously except in the vegetation restoration area. It was found that the growing status of planted shrub plants were poor, and the naturalized plants status was thriving, and the soil environment was bad in the vegetation restoration area. The alien plants such as Humulus japonicus and Aster pilosus dominated continuously in the dry plant area. The swampy native herb plants number was decreased, but the Humulus japonicus community was expanded caused by the soil drying in the swampy plant area. Soil analysis showed that the soil acidity, the available phosphates and the concentration of calcium were highly effected by cultivation. We propose ecological management as follows based on the results of the change of vegetation and soil characteristics. The vegetation restoration area should be managed by visitor's characteristics. Replanting vegetations should be based on soil characteristics. The removal of naturalized plants and established monitoring with plots is also needed. In the dry plant area and the swampy plant area, naturalized plants need to be removed in order to facilitate bio-diversity and monitoring.

A Monitoring and Data Analysis for Close-to-Nature Pilot Creeks (자연형 소하천 모니터링 시범사업 결과 분석)

  • Yi, Sang-Kuk;Chung, Jae-Hak;Lee, Ho-Yul;Lee, Jong-Seol
    • 한국방재학회:학술대회논문집
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    • 2008.02a
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    • pp.751-754
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    • 2008
  • Recently according to increasing of damage in creeks, it has been needed to develop a close-to-nature creek improvement technique considering flood safety as well as the functions of ecosystem and scenery preservation. In this study, the monitoring on creeks in seven provinces was accomplished to develop the technique applicable to domestic creeks between 2002 and 2007. Although the riparian ecosystem was disturbed, after just finishing the improvement on pilot creeks, the result of monitoring showed that restoration rates of creeks were satisfactory by constructing close-to-nature creek revetments. However it is hard to analyze on restoration and permissible tractive force of each revetments constructed in most creeks, because of insufficient monitoring data. Therefore the feasible study on the close-to-nature creek revetments should be performed in the near future through continuous monitoring on creeks.

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Environmental Impact Assessment and Environmental Monitoring: Monitoring Factors and Organization (환경영향평가와 측정 : 환경처 업무 중심으로)

  • Kang, In-Goo;Chang, Chun-Ki;Han, Eui-Jung;Kim, Myung-Jin
    • Journal of Environmental Impact Assessment
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    • v.3 no.2
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    • pp.69-75
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    • 1994
  • Environmental Impact Assessment is composed of screening, scoping, inventory survey, prediction, assessment, alternative assessment, mitigation measure, and post management. Environmental monitoring data is applied to EIA process such as prediction and post management. It must he collected and managed systematically for effective applying in EIA process. This article explains factors such as air quality, water quality, soil, ocean, odor, noise & vibration, ecosystem, etc. and organizations of environmental monitoring managed by Ministry of Environment.

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NDVI time series analysis over central China and Mongolia

  • Park, Youn-Young;Lee, Ga-Lam;Yeom, Jong-Min;Lee, Chang-Suk;Han, Kyung-Soo
    • Proceedings of the KSRS Conference
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    • 2008.10a
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    • pp.224-227
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    • 2008
  • Land cover and its changes, affecting multiple aspects of the environmental system such as energy balance, biogeochemical cycles, hydrological cycles and the climate system, are regarded as critical elements in global change studies. Especially in arid and semiarid regions, the observation of ecosystem that is sensitive to climate change can improve an understanding of the relationships between climate and ecosystem dynamics. The purpose of this research is analyzing the ecosystem surrounding the Gobi desert in North Asia quantitatively as well as qualitatively more concretely. We used Normalized Difference Vegetation Index (NDVI) derived from SPOT-VEGETATION (VGT) sensor during 1999${\sim}$2007. Ecosystem monitoring of this area is necessary because it is a hot spot in global environment change. This study will allow predicting areas, which are prone to the rapid environmental change. Eight classes were classified and compare with MODerate resolution Imaging Spectrometer (MODIS) global land cover. The time-series analysis was carried out for these 8 classes. Class-1 and -2 have least amplitude variation with low NDVI as barren areas, while other vegetated classes increase in May and decrease in October (maximum value occurs in July and August). Although the several classes have the similar features of NDVI time-series, we detected a slight difference of inter-annual variation among these classes.

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Estimating carbon dioxide uptake in wetland ecosystems of Tumen River Basin using eddy covariance flux data (에디 공분산 기반의 플럭스 타워 관측자료를 이용한 두만강 유역 습지 생태계 CO2 흡수량 분석)

  • Chen, Pengshen;Zhao, Shuqing;Cui, Guishan;Lee, Dongkun
    • Journal of the Korean Society of Environmental Restoration Technology
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    • v.27 no.3
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    • pp.67-74
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    • 2024
  • In the context of rapid temperature rise in mid-to-high latitude regions, cold region wetlands have become a hotspot for current wetland carbon cycle research due to their high sensitivity to climate change. Strengthening the monitoring of CO2 fluxes in wetland ecosystems is of great practical significance for clarifying the carbon balance of wetlands and maintaining the ecological balance of wetland ecosystems in China's high latitude regions. In this study, the carbon flux (NEE, Net ecosystem exchange; GPP, Gross Primary Production; RECO, Ecosystem response) of Jingxin Wetland was monitored by eddy correlation method from August 2021 to March 2024.2022-2023 shows CO2 sinks, absorbing 349.4 g C·m-2·yr-1 annually. The correlation analysis showed that Ta, VPD and PPFD were the main environmental factors affecting CO2 flux in Jingxin wetland.

Applications of Drones for Environmental Monitoring of Pollutant-Emitting Facilities

  • Son, Seung Woo;Yu, Jae Jin;Kim, Dong Woo;Park, Hyun Su;Yoon, Jeong Ho
    • Proceedings of the National Institute of Ecology of the Republic of Korea
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    • v.2 no.4
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    • pp.298-304
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    • 2021
  • This study aimed to determine the applicability of drones and air quality sensors in environmental monitoring of air pollutant emissions by developing and testing two new methods. The first method used orthoimagery for precise monitoring of pollutant-emitting facilities. The second method used atmospheric sensors for monitoring air pollutants in emissions. Results showed that ground sample distance could be established within 5 cm during the creation of orthoimagery for monitoring emissions, which allowed for detailed examination of facilities with naked eyes. For air quality monitoring, drones were flown on a fixed course and measured the air quality in point units, thus enabling mapping of air quality through spatial analysis. Sensors that could measure various substances were used during this process. Data on particulate matter were compared with data from the National Air Pollution Measurement Network to determine its future potential to leverage. However, technical development and applications for environmental monitoring of pollution-emitting facilities are still in their early stages. They could be limited by meteorological conditions and sensitivity of the sensor technology. This research is expected to provide guidelines for environmental monitoring of pollutant-emitting facilities using drones.

An Ecosystem Model and Content Research of the Satellite Information Utilization Business (위성정보 활용 사업의 생태계 모델과 콘텐츠 연구)

  • Seungkuk Baik ;Jinhwa Roh;Hyounjoo Shim;Xuanning Zhu
    • Korean Journal of Remote Sensing
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    • v.39 no.5_4
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    • pp.1075-1084
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    • 2023
  • Satellite-derived data is collected by observing the Earth and is used in various fields such as national defense, natural disasters, location-based services, infrastructure, environment, energy, marine, and insurance. This study aims to present the virtuous cycle structure of the satellite information data industry and the business ecosystem model of the industry. As a research method, cases were collected and categorized from the following areas: literature, online, application, and content. The results show that the ecosystem model of the satellite information data industry provides an approach to content services in public and commercial areas, and develops various algorithmic technologies to facilitate content production and services at the level of complex general-purpose technologies. Second, in terms of content typology, satellite information data can be subdivided into monitoring content, urban space monitoring content, and satellite information content. Third, the consumption value of satellite content could be subdivided into informational value, environmental, social and governance (ESG) value, educational value, and content value. In order to expand the global content market, Korea will need to focus on creating an ecosystem for the satellite information industry and discovering differentiated content. It will also need to increase the popularization and accessibility of data to the general public and promote the Korean K-Satellite Information Data Industry ecosystem through government support, policy efforts, and policies such as establishing legal systems, increasing investment, and training human resources.

The Great Western Woodlands TERN SuperSite: ecosystem monitoring infrastructure and key science learnings

  • Suzanne M Prober;Georg Wiehl;Carl R Gosper;Leslie Schultz;Helen Langley;Craig Macfarlane
    • Journal of Ecology and Environment
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    • v.47 no.4
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    • pp.272-281
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    • 2023
  • Ecosystem observatories are burgeoning globally in an endeavour to detect national and global scale trends in the state of biodiversity and ecosystems in an era of rapid environmental change. In this paper we highlight the additional importance of regional scale outcomes of such infrastructure, through an introduction to the Great Western Woodlands TERN (Terrestrial Ecosystem Research Network) SuperSite, and key findings from three gradient plot networks that are part of this infrastructure. The SuperSite was established in 2012 in the 160,000 km2 Great Western Woodlands region, in a collaboration involving 12 organisations. This region is globally significant for its largely intact, diverse landscapes, including the world's largest Mediterranean-climate woodlands and highly diverse sandplain shrublands. The dominant woodland eucalypts are fire-sensitive, requiring hundreds of years to regrow after fire. Old-growth woodlands are highly valued by Indigenous and non-Indigenous communities, and managing impacts of climate change and the increasing extent of intense fires are key regional management challenges. Like other TERN SuperSites, the Great Western Woodlands TERN SuperSite includes a core eddy-covariance flux tower measuring exchanges of carbon, water and energy between the vegetation and atmosphere, along with additional environmental and biodiversity monitoring around the tower. The broader SuperSite incorporates three gradient plot networks. Two of these represent aridity gradients, in sandplains and woodlands, informing regional climate adaptation and biodiversity management by characterising biodiversity turnover along spatial climate gradients and acting as sentinels for ecosystem change over time. For example, the sandplains transect has demonstrated extremely high spatial turnover rates in plant species, that challenge traditional approaches to biodiversity conservation. The third gradient plot network represents a 400-year fire-age gradient in Eucalyptus salubris woodlands. It has enabled characterisation of post-fire recovery of vegetation, birds and invertebrates over multi-century timeframes, and provided tools that are directly informing management to reduce stand-replacing fires in eucalypt woodlands. By building regional partnerships and applying globally or nationally consistent methodologies to regional scale questions, ecological observatories have the power not only to detect national and global scale trends in biodiversity and ecosystems, but to directly inform environmental decisions that are critical at regional scales.

The Marine Environmental Monitoring System in the Yellow Sea (황해의 해양환경 모니터링 시스템)

  • Heo, Seung;Park, Jong-Soo;An, Kyoung-Ho;Lee, Yoon;Choi, Ok-In;Lim, Dong-Hyun;Hwang, Woon-Ki;Lee, Seung-Min;Kim, Pyoung-Joong;Bang, Hyun-Woo
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.16 no.3
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    • pp.307-312
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    • 2010
  • The West Sea Fisheries Research Institute of National Fisheries Research and Development Institute which is in charge of research on marine environment, fisheries resources and aquaculture carries out various monitoring projects with an aim of marine ecosystem conservation. The monitoring projects include costal oceanographic observation, serial oceanographic observation, fishing ground monitoring, national marine environmental monitoring, harmful algal bloom monitoring, Korea-China joint monitoring on the Yellow Sea and jellyfish monitoring. The monitoring produces basic data on fishing ground locations of main fishery species to improve fishery productivity. The data are also used to estimate variations in fisheries resources caused by climate change and to set up the policy for creating economic value from fishery, marine environmental conservation and marine leisure activities and conserving/controlling the marine environment for the sustainable production in the fishing ground.

Estimation of Ecosystem Metabolism Using High-frequency DO and Water Temperature Sensor Data in Daecheong Lake (고빈도 DO 및 수온 센서 자료를 이용한 대청호 생태계 신진대사 산정)

  • Kim, Sung-Jin;Chung, Se-Woong;Park, Hyungseok;Oh, Jungkuk;Park, Daeyeon
    • Journal of Korean Society on Water Environment
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    • v.34 no.6
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    • pp.579-590
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    • 2018
  • The lakes' metabolism bears important information for the assessment of the carbon budget due to the accumulation or loss of carbon in the lake as well as the dynamics of the food webs through primary production. A lake-scale metabolism is evaluated by Gross Primary Production (GPP), Ecosystem Respiration (R), and Net Ecosystem Production (NEP), which is the difference between the first two values. Methods for estimating GPP and R are based on the levels carbon and oxygen. Estimation of carbon is expensive because of the use of radioactive materials which requires a high degree of proficiency. The purpose of this study was to estimate Lake Daecheong ecosystem metabolism using high frequency water temperature data and DO measurement sensor, widely utilized in the field of water quality monitoring, and to evaluate the possibility of using the application method. High frequency data was collected at intervals of 10 minutes from September to December 2017 by installing a thermistor chain and a DO sensor in downstream of Daechung Dam. The data was then used to estimate GPP, R and NEP using the R public program LakeMetabolizer, and other metabolism models (mle, ols, kalman, bookkeep). Calculations of gas exchange coefficient methods (cole, crusius, heiskanen, macIntyre, read, soloviev, vachon) were compared. According to the result, Lake Daecheong has some deviation based on the application method, but it was generally estimated that the NEP value is negative and acts as a source of atmospheric carbon in a heterotrophic system. Although the high frequency sensor data used in this study had negative and positive GPP and R values during the physical mixing process, they can be used to monitor real-time metabolic changes in the ecosystem if these problems are solved.