• 한국환경생태학회지
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• 제36권1호
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• pp.102-111
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• 2022

보호지역 중 국립공원은 생물다양성이 풍부한 곳으로 다른 곳에 비해 인간에게 제공되는 생태계서비스 혜택이 높은 편이다. 이러한 국립공원의 가치를 객관적이고 과학적인 데이터를 기반으로 관리하기 위해 생태계서비스 평가가 활용되고 있다. 생태계서비스는 공급, 조절, 문화, 지지의 4가지 서비스로 분류되며, 본 연구에서는 지지서비스 중 서식지질을 평가하였다. 서식지질 평가는 InVEST의 Habitat Quality 모델을 활용하였으며, 선행연구 분석 및 국내 보호지역 실정을 반영하여 인자별 민감도 및 서식지질 초기값 계수를 재설정하였다. 한라산국립공원을 제외한 21개 국립공원의 서식지질을 분석하고 지도화하였다. 서식지질은 0과 1사이의 값으로 나타나며, 1에 가까울수록 자연성이 높은 것으로 평가한다. 서식지질 분석결과 설악산·태백산국립공원(0.90), 지리산·오대산국립공원(0.89), 소백산국립공원(0.88) 순으로 높게 나타났다. 해안-해상형 국립공원을 제외한 18개 국립공원의 면적과 서식지질을 비교한 결과 면적이 넓을수록 전반적으로 서식지질이 높게 나타났다. 용도지구별 서식지질을 비교한 결과 공원자연보존지구, 공원자연환경지구, 공원문화유산지구, 공원마을지구 순으로 서식지질이 높게 나타났다. 서식지질 분석과 용도지구별 법적인 규제를 함께 고려하였을 때, 인위적인 행위가 제한될수록 서식지질은 높아지는 것으로 판단된다. 본 연구는 국내 보호지역 상황에 맞게 매개변수를 조정하여 21개 전 국립공원을 대상으로 서식지질 분석을 실시한 것에 의의가 있다. 적확한 수치와 지도화를 통해 직관적으로 파악이 용이하며, 향후 보호지역의 개발 및 보전에 관련한 정책 결정에 유용할 것으로 기대된다.

• 농촌계획
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• 제15권2호
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• pp.19-26
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• 2009

The purpose of this study is to build Island biogeography in the basic concept of landscape ecology in South Korea by draw relationship between the species side of quantitative habitats and forest area surveyed in the national database based on investigation of the 2nd natural environment. In addition, try to present criterion of habitats character category after understanding habitats character of emergence area side of quality habitats based on the type of formatting. Species and forest area relationship analyzed using correlation analysis and simple regression analysis. Also habitat character limited composition ratio of neighboring land cover and analyzed using hierarchical cluster analysis to classify type of habitat. As a result, we found that forest area is correlated with number of species, forests which is bigger than 100ha are more important of increase in species' population. And according to land cover composition ratio, bird's classified types of forest inner species, forest edge species, forest outer species and mammal's classified types of forest inner species, forest general species, forest edge species. We suggest that study of species-forest area relationship and emergence habitat character be used as some management plans of species' conservation, protection and restoration.

• Ecology and Resilient Infrastructure
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• 제6권4호
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• pp.179-190
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• 2019

금강의 용담댐 하류부터 대청댐 상류 구간을 대상으로 멸종위기 1급으로 지정된 감돌고기의 서식 실태를 파악하고자 어류조사를 실시하였다. 출현된 어류의 개체수를 기준으로 생물다양도 분석을 실시하였고, 채집된 감돌고기를 이용하여 생물학적 건강성 및 물리적 서식환경을 정량적으로 분석하였다. 조사결과에 따르면 감돌고기의 서식범위는 용담댐 하류부터 대청댐 상류 가덕교 700 m 하류 지점까지 서식이 확인되었다. 전체 출현종의 생물다양도 분석결과는 전체적으로 우점도 지수가 낮았고, 상대적으로 종 다양도 및 균등도 지수가 높아 어류군집이 안정된 것으로 평가되었다. 또한 본 연구에서 채집된 감돌고기는 전장-무게 상대성정식 및 비대지수 (CF) 분석결과 정상적인 성장 및 영양 상태로 확인되었다. 감돌고기의 물리적 서식환경은 수심 0.3 - 0.6 m, 유속 0.3 - 0.7 m/s, 하상재료는 호박돌 - 전석의 범위에서 높은 출현빈도로 나타났다. 이와 같은 결과는 금강에서 감돌고기의 공간적인 서식범위와 선호하는 물리적 서식환경에 대한 기초자료로서 향후 서식지 복원 및 관리를 위한 자료로 활용될 수 있을 것으로 판단된다.

• Ecology and Resilient Infrastructure
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• 제4권3호
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• pp.169-179
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• 2017

본 연구는 원주천을 대상으로 안정하도 설계에 따른 하상변동 양상을 분석하여 물리적 교란과 서식적합도 (Habitat suitability, HS)를 정량적으로 평가하였다. 현재의 원주천 대상구간에 대한 안정하도 평가 결과 총 20개 구간 중 17개 구간이 안정하였으며, 3개 구간이 불안정한 것으로 나타났다. 물리적 교란개선 평가 (Physical disturbance improvement evaluation, PDIE) 결과 구간평균 112.17점으로 현재 양호한 교란개선 상태를 나타냈다. 어류의 물리서식처 분석은 원주천의 최우점종인 참갈겨니의 서식적합지수를 이용하였다. 물리서식처 분석 결과 HS는 0.16, 가중가용면적 (Weighted usable area, WUA)은 $347.68m^2$으로 나타났다. 불안정 하도의 안정하도 설계를 위해서 시설물의 개선 도입 철거와 하도를 준설하는 방법을 이용하였으며, 하상변동 양상에 따른 PDIE와 서식적합도의 변화를 분석하였다. 시설물의 개선 도입 철거 시 19개 구간에서 안정하도 설계가 가능하였으며, PDIE는 117.53점, HS는 0.14, WUA는 $313.37m^2$로 나타났다. 하도의 준설 시 20개 전구간에서 안정하도 설계가 가능하였다. PDIE는 116.50점으로 나타났으며, HS는 0.16, WUA는 $332.14m^2$으로 나타났다. 따라서 원주천의 물리적 건전성과 안정성을 제고할 수 있는 하도설계 방안을 도출하였으며, 그에 따른 물리적 교란과 물리서식처의 변화는 영향이 없을 것으로 분석되었다. 아울러 물리적 교란과 물리서식처의 상관 분석을 위해 구간별 유속과 수심 및 여울과 소의 출현 빈도를 분석하였다. 분석 결과 여울과 소의 분석은 물리서식처의 평가 결과와 유사하게 나타남을 확인하였다.

• 한국환경복원기술학회지
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• 제26권6호
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• pp.67-84
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• 2023

In some areas of the Republic of Korea, the designation and management of conservation areas do not adequately reflect regional characteristics and often impose behavioral regulations without considering the local context. One prominent example is the Busan EDC area. As a result, conflicts may arise, including large-scale civil complaints, regarding the conservation and utilization of these areas. Therefore, for the efficient designation and management of protected areas, it is necessary to consider various ecosystem factors, changes in land use, and regional characteristics. In this study, we specifically focused on the Busan EDC area and applied machine learning techniques to analyze the habitat of regional species. Additionally, we employed Explainable Artificial Intelligence techniques to interpret the results of our analysis. To analyze the regional characteristics of the waterfront area in the Busan EDC district and the habitat of migratory birds, we used bird observations as dependent variables, distinguishing between presence and absence. The independent variables were constructed using land cover, elevation, slope, bridges, and river depth data. We utilized the XGBoost (eXtreme Gradient Boosting) model, known for its excellent performance in various fields, to predict the habitat probabilities of 11 bird species. Furthermore, we employed the SHapley Additive exPlanations technique, one of the representative methodologies of XAI, to analyze the relative importance and impact of the variables used in the model. The analysis results showed that in the EDC business district, as one moves closer to the river from the waterfront, the likelihood of bird habitat increases based on the overlapping habitat probabilities of the analyzed bird species. By synthesizing the major variables influencing the habitat of each species, key variables such as rivers, rice fields, fields, pastures, inland wetlands, tidal flats, orchards, cultivated lands, cliffs & rocks, elevation, lakes, and deciduous forests were identified as areas that can serve as habitats, shelters, resting places, and feeding grounds for birds. On the other hand, artificial structures such as bridges, railways, and other public facilities were found to have a negative impact on bird habitat. The development of a management plan for conservation areas based on the objective analysis presented in this study is expected to be extensively utilized in the future. It will provide diverse evidential materials for establishing effective conservation area management strategies.

• 한국환경복원기술학회지
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• 제4권2호
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• pp.52-61
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• 2001

At least, there are intense pressures on the natural habitats from various disturbance, including urbanization, extension of industrial area, and road construction. These human land use result in fragmentation of landscape and natural habitat. The ecological consequences of habitat fragmentation include the direct effects of habitat loss and the indirect effects of reduced inter-patch dispersal. The decline of biological diversity has been rapidly declined by the habitat loss and fragmentation. Conservation strategists should consider not only the habitat amount of that must be preserved, but also the spatial configuration of habitat across the landscape. But, the paucity of available data for most species forces landscape ecologists to develop the concept, model, and theory. The developed theories are often misused in academic papers and practical applications. The development history, presumption of concept, model, theory is ignored. This tendency have leaded to failure of landscape restoration and the use of theory in conservation practice have come under increasing attacks. This paper will highlight the ecological theory that have proven the most influential in landscape ecology, restoration and conservation : the theory of island biogeography, the theory of nested subset analysis, minimum viable population(MVP), the theory of metapopulation dynamics. And, it find the problem and usefulness of four theory in application to real world. Consequently, the understanding of theoretical implication about landscape ecological theory is required. We must carefully apply the theory after examining the problem and availability of various theory because of no existence of only one general theory.

• 한국환경복원기술학회지
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• 제20권3호
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• pp.55-64
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• 2017

The problem of the population number of honeybees that is decreasing not only domestically but also globally, has a great influence on human beings and the entire ecosystem. The habitat of honeybees is recognized to be superior in urban environment rather than rural environment, and predicting for habitat assessment and conservation is necessary. Based on this, we targeted Cheonan City and neighboring administrative areas where the distribution of agricultural areas, urban areas, and forest areas is displayed equally. In order to predict the habitat preferred by honeybees, we apply the Maxent model what based on the presence information of the species. We also selected 10 environmental variables expected to influence honeybees habitat environment through literature survey. As a result of constructing the species distribution model using the Maxent model, 71.7% of the training data were shown on the AUC(Area Under Cover) basis, and it was be confirmed with an area of 20.73% in the whole target area, based on the 50% probability of presence of honeybees. It was confirmed that the contribution of the variable has influence on land covering, distance from the forest, altitude, aspect. Based on this, the possibility of honeybee's habitat characteristics were confirmed to be higher in wetland environment, in agricultural land, close to forest and lower elevation, southeast and west. The prediction of these habitat environments has significance as a lead research that presents the habitat of honeybees with high conservation value of ecosystems in terms of urban space, and it will be useful for future urban park planning and conservation area selection.

• 환경영향평가
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• 제21권5호
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• pp.631-648
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• 2012

The integrative ecological approaches of chemical assessments, physical habitat modelling, and multi-metric biological health modelling were applied to Gwanpyeong Stream within Gap-Stream watersheds to evaluate environmental impacts on the constructions of residential and commercial complex. For the analysis, the surveys conducted from 45 sites of reference streams within the Gap-Stream watershed and 3 regular sites during 2009 - 2010. Physical habitat health, based on the habitat model of Qualitative Habitat Evaluation Index(QHEI) declined from the headwaters(good - fair condition) to the downstream(poor condition). Chemical water quality, based turbidity and electric conductivity(EC), was degraded toward to the downstream, and especially showed abrupt increases, compared to the values of control streams(CS). Also, concentrations of chlorophyll-a in the downstreams were greater compared to the control stream(CS), indicating an eutrophication. Biological health conditions, based on the Index of Biological Integrity(IBI) using fish assemblages, averaged 19.3 which is judged as a fair condition by the biological criteria of the Ministry of Environment, Korea. The comparisons of model metric values in sensitive species and riffle-benthic species on the Maximum Species Richness Line(MSRL) of 45 reference streams indicated a massive disturbances in all sampling locations. Also, tolerance guild and trophic guild analyses suggest that dominances of tolerant species and omnivores were evident, indicating a biological degradation by habitat disturbances and organic matter pollutions. There was no distinct longitudinal variations of IBI model values from the headwater to the downstream in spite of slight chemical and habitat health gradients among the sampling sites. Overall, integrative ecological health(IEH) scores, based on the chemical, physical, and biological parameters, were low compared to the 45 reference streams due to physical and chemical disturbances of massive constructions of the residential and commercial complex. This stream, thus showed a tendency of typical urban streams which are disturbed in the chemical water quality, habitat structures, and biological integrity. Effective stream management plans and restoration strategies are required in this urban stream for improving integrative stream health.

• 대한토목학회논문집
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• 제34권3호
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• pp.805-812
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• 2014

본 연구에서는 하상변동의 고려가 물리서식처 모의에 미치는 영향을 검토하였다. 이를 위해 수리 및 이동상 계산은 CCHE2D 모형을 이용하였으며 서식처 적합도 곡선을 사용하여 서식처 평가를 실시하였다. 적용구간은 달천 유역 괴산댐 하류 수전교에서 대수보까지 약 2.5km 구간이며, 2006년 7월 홍수기 시 실측된 유량 및 수위자료를 이용하여 이동상 모의를 수행하였다. 수치모형의 검증은 실측된 수위와의 비교를 통해 수행되었으며 하상변동의 검증은 실시 하지 않았다. 물리서식처 분석은 우점종인 성어기 피라미를 대상으로 실시하였다. 고정상과 이동상 조건에서 각각 갈수량, 저수량, 평수량, 풍수량의 유랑조건에 대한 복합서식처 적합도 지수 분포를 모의하고 가중가용면적을 산정하였다. 모의 결과, 이동상 조건에서 모의구간의 상류 및 만곡부에서 복합 서식처 적합도지수가 상승하는 결과를 확인하였다. 또한 가중가용면적은 이동상 고려 시 5.4~11.3%정도 증가하는 것을 확인하였다.

• 한국환경복원기술학회지
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• 제24권5호
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• pp.1-14
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• 2021

Excessive development and urbanization have destroyed animal, plant, habitats and reduced biodiversity. In order to preserve species diversity, habitat prediction studies are have been conducted at home and overseas using various modeling techniques. This study was conducted to suggest optimal habitat modeling research by comparing HSI and MaxEnt, which are widely used among habitat modeling techniques. The study was targeted on the endangered species of Prionailurus bengalensis in nearby areas (5460.35km2) including Cheonan City, and the same data were used for analysis to compare those models. According to the HSI analysis, Prionailurus bengalensis's habitat probability was 74.65% for less than 0.5 and 25.34% for more than 0.5 and the top 30% were forest (99.07%). MaxEnt's analysis showed that 56.22% of those below 0.5 and 43.79% of those above 0.5 were found to have a high explanatory power of 78.3% of AUC. The Paired Wilcoxn test, which evaluated the significance of thoes models, confirmed that the mean difference between the two models was statistically significant (p<0.05). Analysis of the differences in the results of those models using the matrix table shows that score 24.43% HSI and MaxEnt was accordance,12.44% of the 0.0 to 0.2 section, 7.22% of the 0.2 to 0.4 section, 2.73% of the 0.4 to 0.6 section, 1.96% of the 0.6 to 0.8, and 0.08% of the 0.9 to 1.0. To verify where the score difference appears, the result values of those models were reset to values from 1 to 5 and overlaid. Overlapping analysis resulted in 30.26% of the Strongly agree values, 56.77% of the agree values, and 11.92% of the Disagree values. The places where the difference in scores occurs were analyzed in the order of forest (45.23%), agricultural land (34.57%), and urbanization area (7.65%). This confirmed that the analysis of the same target species within the same target site also has differences in forecasts depending on the modelling method. Therefore, a novel analysis method combining the advantages of each modeling in habitat prediction studies should be developed, and future study may be used to select Prionailurus bengalensis and species-protected areas and species protection areas in the future. Further research is judged to require higher accuracy studies through the use of various modeling techniques and on-site verification.