• Title/Summary/Keyword: ecosystem management

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Health Assessment of the Nakdong River Basin Aquatic Ecosystems Utilizing GIS and Spatial Statistics (GIS 및 공간통계를 활용한 낙동강 유역 수생태계의 건강성 평가)

  • JO, Myung-Hee;SIM, Jun-Seok;LEE, Jae-An;JANG, Sung-Hyun
    • Journal of the Korean Association of Geographic Information Studies
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    • v.18 no.2
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    • pp.174-189
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    • 2015
  • The objective of this study was to reconstruct spatial information using the results of the investigation and evaluation of the health of the living organisms, habitat, and water quality at the investigation points for the aquatic ecosystem health of the Nakdong River basin, to support the rational decision making of the aquatic ecosystem preservation and restoration policies of the Nakdong River basin using spatial analysis techniques, and to present efficient management methods. To analyze the aquatic ecosystem health of the Nakdong River basin, punctiform data were constructed based on the position information of each point with the aquatic ecosystem health investigation and evaluation results of 250 investigation sections. To apply the spatial analysis technique, the data need to be reconstructed into areal data. For this purpose, spatial influence and trends were analyzed using the Kriging interpolation(ArcGIS 10.1, Geostatistical Analysis), and were reconstructed into areal data. To analyze the spatial distribution characteristics of the Nakdong River basin health based on these analytical results, hotspot(Getis-Ord Gi, $G^*_i$), LISA(Local Indicator of Spatial Association), and standard deviational ellipse analyses were used. The hotspot analysis results showed that the hotspot basins of the biotic indices(TDI, BMI, FAI) were the Andong Dam upstream, Wangpicheon, and the Imha Dam basin, and that the health grades of their biotic indices were good. The coldspot basins were Nakdong River Namhae, the Nakdong River mouth, and the Suyeong River basin. The LISA analysis results showed that the exceptional areas were Gahwacheon, the Hapcheon Dam, and the Yeong River upstream basin. These areas had high bio-health indices, but their surrounding basins were low and required management for aquatic ecosystem health. The hotspot basins of the physicochemical factor(BOD) were the Nakdong River downstream basin, Suyeong River, Hoeya River, and the Nakdong River Namhae basin, whereas the coldspot basins were the upstream basins of the Nakdong River tributaries, including Andong Dam, Imha Dam, and Yeong River. The hotspots of the habitat and riverside environment factor(HRI) were different from the hotspots and coldspots of each factor in the LISA analysis results. In general, the habitat and riverside environment of the Nakdong River mainstream and tributaries, including the Nakdong river upstream, Andong Dam, Imha Dam, and the Hapcheon Dam basin, had good health. The coldspot basins of the habitat and riverside environment also showed low health indices of the biotic indices and physicochemical factors, thus requiring management of the habitat and riverside environment. As a result of the time-series analysis with a standard deviation ellipsoid, the areas with good aquatic ecosystem health of the organisms, habitat, and riverside environment showed a tendency to move northward, and the BOD results showed different directions and concentrations by the year of investigation. These aquatic ecosystem health analysis results can provide not only the health management information for each investigation spot but also information for managing the aquatic ecosystem in the catchment unit for the working research staff as well as for the water environment researchers in the future, based on spatial information.

Mammalian Fauna in DMZ Area (DMZ 및 군사접경지역의 포유류상)

  • Yoon, Seong-Il;Gyu, Myung-Chan;Lee, Heung-Shik S.
    • Korean Journal of Environmental Biology
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    • v.25 no.3
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    • pp.215-222
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    • 2007
  • DMZ (De-Militalized Zone) in South Korea is world heritage area by passage control of human-being for more than 50 years since 1953. Wild flora and fauna in these area have been protected from any development and/or habitat destruction. However, consideration on ecosystem and nature in the area is becoming higher, and demand for development is raising also. We have reviewed any publications, which are surveyed about ecosystem and interview local residents about wildlife inherit there. Totally 51 species have been reported inhabited DMZ belonging to 17 Families, 6 Orders, so far. National monuments in DMZ are following; Asiatic black bear (Ursus thibetanus), Eurasian otter (Lutra lutra), Musk deer (Moschus moschiferus), KOREAN goral (Nemorhaedus caudatus), flying squirrel (Pteromys volans) and spotted seal (Phoca vitalima). These results would be an essential data to establish management strategy and manuals for conserving native ecosystem, native flora and fauna in DMZ, and also using for registering world heritage area under UNESCO.

Patterning Waterbird Assemblages on Rice Fields Using Self-Organizing Map and Random Forest (자기조직화지도(Self-organizing map)와 랜덤 포레스트 분석(Random forest)을 이용한 논습지에 도래하는 수조류 군집 특성 파악)

  • Nam, Hyung-Kyu;Choi, Seung-Hye;Yoo, Jeong-Chil
    • Korean Journal of Environmental Agriculture
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    • v.34 no.3
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    • pp.168-177
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    • 2015
  • BACKGROUND: In recent year, there has been great concern regarding agricultural land uses and their importance for the conservation of biodiversity. Rice fields are managed unique wetland for wildlife, especially waterbirds. A comprehensive monitoring of the waterbird assemblage to understand patterning changes was attempted for rice ecosystem in South Korea. This rice ecosystem has been recognized as one of the most important for waterbirds conservation. METHODS AND RESULTS: Biweekly monitoring was implemented for the 4 years from April 2009 to March 2010, from April 2011 to March 2014. 32 species of waterbirds were observed. Self-organizing map (SOM) and random forest were applied to the waterbirds dataset to identify the characteristics in waterbirds distribution. SOM and random forest analysis clearly classified into four clusters and extract ecological information from waterbird dataset. Waterbird assemblages represented strong seasonality and habitat use according to waterbird group such as shorebirds, herons and waterfowl. CONCLUSION: Our results showed that the combination of SOM and random forest analysis could be useful for ecosystem assessment and management. Furthermore, we strongly suggested that a strict management strategy for the rice fields to conserve the waterbirds. The strategy could be seasonally and species specific.

Phytoplankton Ecosystems at Oil Spill Coasts Including the Hebei Spirit Oil Spill Site Near Taeanhaean National Park, Korea 1. Interannual Variability of Phytoplankton Community in Summer (태안해안국립공원 인근의 허베이스피리트 사고를 포함한 유류유출 해역의 식물플랑크톤 생태계 1. 하계 식물플랑크톤 군집의 연변동)

  • Yih, Wonho;Kim, Hyung Seop;Jo, Soo-Gun
    • Ocean and Polar Research
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    • v.41 no.1
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    • pp.1-10
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    • 2019
  • Right after the 2007 Hebei Spirit Oil Spill phytoplankton ecosystems were investigated for 11 years based on the seasonal monitoring of the composition and abundance of phytoplankton species. Comparable time-series data from the 1989 Exxon Valdez or the 2010 Deepwater Horizon Oil Spill sites were not available. It was suggested that the ecological healthiness of phytoplankton ecosystems at EVOS sites had recovered after 10 years following the oil spill based on chlorophyll concentrations even though these concentrations only represented phytoplankton communities in most cases. Chlorophyll concentrations can only reflect limited aspects of highly complex phytoplankton ecosystems. During the last 11 years following the 2017 HSOS, extreme variabilities were met in the seasonally averaged ratios of diatoms to phototrophic flagellates including dinoflagellates based on the microscopic cell countings. Summer phytoplankton communities exhibited some cyclic interannual changes in dominant groups every 2-4 years. During the early years (2008-2010) cryptophytes or raphidophytes (Chattonella spp.) dominated alternately each year, which was repeated again in 2014, 2015 and 2017. Two thecate dinoflagellates, Tripos fusus and Tripos furca, together accounted for 52.5% and 50.0% of all organisms in the summers of 2011 and 2012, respectively, which was repeated again in 2018. Summer occurrence and dominance by the phototrophic flagellates including HABs (Harmful Algal Blooms) species as well as their interannual variabilities in the oil spill sites could be utilized as markers for the stable and long-term management of healthy ecosystems. For this type of scientific ecosystem management monitoring of chlorophyll concentrations may sometimes be insufficient to gain a proper and comprehensive understanding of phytoplankton communities located in areas where oil spills have occurred and harmed the ecosystem.

Distribution of Invasive Alien Species Red Swamp Crawfish (Procambarus clarkii) in Korea (생태계교란 생물 미국가재(Procambarus clarkii)의 국내 서식과 분포 연구)

  • Park, Cheol Woo;Kim, Jong Wook;Cho, Yun Jeong;Kim, Jae Goo;Lee, Min Ji;Kim, Su Hwan
    • Korean Journal of Ecology and Environment
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    • v.53 no.4
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    • pp.331-335
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    • 2020
  • The red swamp crawfish (Procambarus clarkii) is native to northeastern Mexico and south-central United States. But the species has been introduced to other parts of the world, and cause ecological problems including habitat destruction and competition with indigenous species. In this study, we identified the distribution of P. clarkii in the freshwater system in Korea. P. clarkii were collected in the field sampling and it is assumed that they have settled in major domestic water systems of Korea including six points in the Yeongsangang River, five points in the Mangyeonggang River, two points in the Seomjingang River, and one point in the Geumgang River. In particular, more than 20 individuals were found in Seobongri, Wanjugun and Mosanri, Hampyeonggun, which are believed to form a relatively large population. Considering high mobility and environmental adaptability of the species, the possibility of their dispersal to other water systems is very high. Therefore, continuous monitoring and assessment of their distribution and potential spread are required and effective management to remove them policy is needed to prevent damage in the Korean ecosystem.

A Study on e-Healthcare Business Model: Focusing on Business Ecosystem Approach (e헬스케어 비즈니스모델에 관한 연구: 비즈니스생태계 접근 중심으로)

  • Kim, Youngsoo;Jung, Jai-Jin
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.14 no.1
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    • pp.167-185
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    • 2019
  • As most G-20 countries expect medical spending to grow rapidly over the next few decades, the burden of healthcare costs continues to grow globally due to an increase in the elderly population and chronic illnesses, and the ongoing quality improvement of health care services. However, under the rapidly changing technological environment of healthcare and IT convergence, the problem may become even bigger if not properly recognized and not properly prepared. In the context of the paradigm shift and the increasing problem of the medical field, complex responses in technical, institutional and business aspects are urgently needed. The key is to derive a business model that is appropriate for businesses that integrate IT in the medical field. With the arrival of the era of the 4th industrial revolution, new technologies such as Internet of Things have been applied to eHealthcare, and the need for new business models has emerged.In the e-healthcare of the Internet era, it became a traditional firm-based business model. However, due to the characteristics of dynamics and complexity of things Internet in the Internet of things, A business ecosystem-based approach is needed. In this paper, we present and analyze the major success factors of the ecosystem based on the 3 - layer structure of the e - healthcare business ecosystem as a result of research on e - healthcare business ecosystem based on emerging technology such as Internet of things. The three-layer business ecosystem was defined as (1) Infrastructure Layer, (2) Character Layer, and (3) Stakeholder Layer. As the key success factors for the eHealthCare business ecosystem, the following four factors are suggested: (1) introduction of the iHealthcare concept, (2) expansion of the business ecosystem, (3) business ecosystem change process innovation, and (4) business ecosystem leadership innovation.