• Ecology and Resilient Infrastructure
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• 제6권2호
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• pp.101-108
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• 2019

본 연구에서는 물리서식처 분석을 이용하여 구하도 복원에 따른 어류서식처의 영향을 분석하였다. 연구대상지역은 청미천의 1.2 km 구간이다. 연구 대상 지역에서 구하도 복원은 2012년 7월 부터 2015년 12월 까지 수행되었다. 복원 전과 후에 대하여 물리서식처 분석을 실시하였다. 이때, 수리해석을 River2D 모형을 이용하였으며 서식처분석을 위하여 서식처 적합도 지수 곡선을 이용하였다. 대상어종은 연구대상지역의 우점종인 피라미를 선정하였다. 복원 전과 후의 조건에 대하여 다양한 유량에 대하여 수리해석을 실시하였다. 이후 구하도가 복원 되기 전과 후의 조건에서 복합 서식처 적합도 지수와 가중가용면적을 계산하였으며, 피라미의 물리서식처 변화에 대하여 분석하였다. 모의 결과 구하도가 복원될 경우 어류의 서식처 영역이 증가되었으며, 큰 유량에 대하여 서식처의 감소를 방지하는데 효과가 있음을 확인하였다.

• 한국환경복원기술학회지
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• 제3권4호
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• pp.33-42
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• 2000

This study is carried out to investigate plant community structure, actual vegetation map and flora for examining the relationship between naturally introduced vegetation and surrounding vegetation in Hamtae coal-mined spoil lands. According to the analysis of vegetation, surrounding vegetation was divided into five plant community groups : Pinus koraiensis community, Pinus densiflora - Quercus mongolica community, Q. mongolica - Deciduous broadleaved trees community, Betula schmidtii - B. davurica community, Larix leptolepis community. Robinia pseudo-acacia, which had been planted, was dominant species in coal-mined spoil lands. Young trees, which were naturally introduced, such as B. schmidtii, B. davurica etc., partially appeared with the high density($15{\sim}19ea/100m^2$) in coal-mined spoil lands. The flora of this area was listed as 54 taxa; 22 families, 42 genus, 50 species, 3 varieties and 1 forma. Especially Spodiopogon sibiricus, Miscanthus sinensis, Arundinella hirta, Artemisia capillaris, Artemisia iwayomogi and Youngia denticulata appeared with the high frequency. It is estimated that the proper way for harmonious and effective revegetation is to target B. schmidtii - B. davurica communities and to seed B. schmidtii - B. davurica mixing highly frequent herbaceous species.

• 한국해양환경ㆍ에너지학회지
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• 제20권1호
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• pp.12-17
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• 2017

해양생태계 복원 대상지 수요조사 결과를 대상지역으로 연안복원사업의 생태적 목표 및 성공 판단기준 항목을 설정하였다. 생태적 목표와 성공 판단기준 설정을 통하여 연안복원 사업이 기술공학적 목표와 친수공간 조성이라는 사회적 목표에 따라 단순이 반복되는 일회성 사업으로 그치는 현상을 억제할 수 있다. 또한, 전국 연안이 자연생태계에 의존하여 자연설계(Self-design)되고 스스로 조성(Self-organization)될 수 있는 생태공학적 접근법이라는 점에서 연안 생태계의 지속적인 이용이 가능하게 될 것이다. 생태적 목표는 연안 생태계의 유형별로 생물종 다양성, 물흐름 조절, 정화능력 개선, 침식 방지와 서식처 제공으로 설정하였다. 성공기준 항목은 갯벌 조사지침의 조사항목 중에서 생태적 목표별로 대상 생물의 출현종수와 군집특성, 그리고 수리, 수질, 지질 환경의 해당 항목으로 설정하였다.

• 한국환경복원기술학회지
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• 제21권4호
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• pp.11-23
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• 2018

The purpose of this study is to identify the ecological characteristics and biological interactions between species of the abandoned rice paddy field in mountainous areas and to suggest a management strategy for stable food chain formation and biodiversity enhancement. The study site is located in Uldae wetland of Songchu district Bukhansan National Park, site characteristics and biological habitat characteristics were identified through site survey and literature survey. With regard to physical environment, among geographical features, the Uldae Wetland and the neighborhood inside the basin was a gently sloping area($5{\sim}15^{\circ}$). And 64.0% of basin faced the north. With regard to water environment, the Uldae Wetland was wetland of rainfed paddy field depending on precipitation and the system of stream flowing into the wetland from valley. According to the results of examining flora in plant ecology, in general, they were herbaceous wetland species. 88.6% of existing plants inside the Uldae Wetland basin was a forest in the mountain. And Quercus spp. community and Pinus densiflora community accounted for 64.6% of that, and was dominant. Except for that, Salix koreensis community was distributed. The existing vegetation of Uldae Wetland inhabited wetland species and terrestrialization indicator species, and it was thought that partial terrestrialization inside the Uldae Wetland was in progress after the discontinuation of paddy cultivation, such as the expansion of Salix koreensis distribution area. In the status of appearing faunae in the Uldae Wetland with regard to wildbirds of appearing principal species, The Uldae wetland was based on a abandoned rice paddy field various wildlife, and was a wildlife feeding, spawning, and resting place. The water environment was an important factor in maintaining the wetland living creatures function, habitat of waterbirds and benthic macroinvertebrates, amphibians and odonate are spawning ground and habitat, it was affecting the vegetation ecosystem based on wetlands. In order to maintain the diversity of wildlife, it was important to maintain smooth water supply and water level. A stable food chain will be formed and the Uldae wetland biodiversity will be abundant by establishing the relationship between the species of Uldae wetland, which is abandoned rice paddy field, and the habitat environment favored by species belonging to the ecosystem stepwise linkage. The ecological characteristics of the Uldae wetlands and the relation between the species were analyzed and the environmental conditions were reflected in the planning and management plan of Uldae wetland ecology.

• 한국환경복원기술학회지
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• 제17권3호
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• pp.75-86
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• 2014

An urban ecosystem is a complex system that includes social, economic and ecosystems. Therefore, it is important to consider its environmental capacity while developing a city plan. Most of the plans, however, consider only the social aspects, which fragments the green spaces and disturbs the movement of species. Sungnam has approximately 100 parks with unexecuted development plans and with great potential to contribute towards urban ecosystem enhancement. Therefore, this study applied network analysis to prioritize the development of city parks and contribute towards improving the green network, with Parus spp. as the target species. To compensate for the drawbacks of binary and possibility-based network analysis, this study included two indices, namely $BC^{PC}_K$, $BC^{IIC}_K$, $dPCconnector_k$ and $dIICconnector_k$. These indices make it possible to find patches that could play an important role in green network enhancement. The urban park with greater value gets a higher priority to be transformed into a park. Thus, our methodology could prove to be very useful in prioritizing the undeveloped parks, thereby supporting decision-making.

• Proceedings of the National Institute of Ecology of the Republic of Korea
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• 제4권1호
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• pp.28-42
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• 2023

Seed dispersal supports community structure, maintains genetic connectivity across fragmented landscapes, and influences vegetation assemblages. In the Philippines, only two seed dispersal studies have compared different dispersal agents. We examined the seed dispersal patterns of water, wind, birds, and bats in the Caliraya Watershed, Philippines. We aimed to determine the floral species that were dispersed and how the forest characteristics influenced seed dispersal. By running seed rain traps and drift litter collection from March to June 2022, we analyzed 14,090 seeds in a privately owned study site within the watershed. Water did not exclusively disperse any species and acted as a secondary disperser. Seed density (seeds/trap) was significantly higher for bird-dispersed (n=166) and bat-dispersed (n=145) seeds than for wind-dispersed (n=79) seeds (One-way analysis of variance [ANOVA]: F_2,87=16.21, P<0.0001). Species number (species/trap) was significantly higher for bird-dispersed (n=3.7) and bat-dispersed (n=3.9) seeds than for wind-dispersed (n=0.2) seeds (One-way ANOVA: F_2,87 =16.67, P<0.0001). Birds dispersed more species because they are more diverse and access a wider variety of fruits, unlike bats. Birds and bats target different fruits and provide separate seed dispersal services. Generalized linear model analyses revealed that the number and basal area of fleshy fruit trees most strongly influenced the bird seed dispersal patterns. Therefore, we recommend a three-way approach to restoration efforts in the Caliraya Watershed: (1) ensure the presence of fleshy fruit trees in restoration zones, (2) assist the establishment of mid-successional and wind-dispersed trees, and (3) intensify the conservation efforts for both flora and faunal diversity.

• 한국환경복원기술학회지
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• 제26권6호
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• pp.85-96
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• 2023

This study proposes a method for forest vegetation monitoring using high-resolution aerial imagery captured by unmanned aerial vehicles(UAV) and deep learning technology. The research site was selected in the forested area of Mountain Dogo, Asan City, Chungcheongnam-do, and the target species for monitoring included Pinus densiflora, Quercus mongolica, and Quercus acutissima. To classify vegetation species at the pixel level in UAV imagery based on characteristics such as leaf shape, size, and color, the study employed the semantic segmentation method using the prominent U-net deep learning model. The research results indicated that it was possible to visually distinguish Pinus densiflora Siebold & Zucc, Quercus mongolica Fisch. ex Ledeb, and Quercus acutissima Carruth in 135 aerial images captured by UAV. Out of these, 104 images were used as training data for the deep learning model, while 31 images were used for inference. The optimization of the deep learning model resulted in an overall average pixel accuracy of 92.60, with mIoU at 0.80 and FIoU at 0.82, demonstrating the successful construction of a reliable deep learning model. This study is significant as a pilot case for the application of UAV and deep learning to monitor and manage representative species among climate-vulnerable vegetation, including Pinus densiflora, Quercus mongolica, and Quercus acutissima. It is expected that in the future, UAV and deep learning models can be applied to a variety of vegetation species to better address forest management.

• 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.

• 한국환경복원기술학회지
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• 제18권2호
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• pp.33-44
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• 2015

This study was performed to propose the site selection plan for the restoration of the target Narrow-mouth Frog(Kaloula borealis) habitat, and has developed the AHP model to select the optimal site for narrow-mouth frog habitat restoration on the basis of the narrow-mouth frog Habitat Suitability Index (HSI) items (factors and variables). The assessment areas were established by the narrow-mouth frog HSI factors such as space, feed, cover, water(breeding), threatening factors and others, and the sub-assessment items by each assessment area were established based on the narrow-mouth frog HSI variables. The weighting values of the assessment areas and items were calculated by the developed AHP method. The weighting values of the 5 assessment areas were arranged in order as cover(0.283), water(breeding)(0.276), feed(0.230), space(0.147), and threatening factor(0.064). The final weighting values of the 14 assessment items were arranged in order of height as low-rise grassland(0.190), soil quality(0.178), and stones and between the stones(0.105). The scoring criteria according to the assessment items and factors were marked and applied by equal intervals considering the criteria by HSI items of the narrow-mouth frog and finally the scoring criteria diagram has been proposed for the optimal site selection of the narrow-mouth frog habitat restoration.

• 한국수자원학회논문집
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• 제46권3호
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• pp.267-276
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• 2013

본 연구는 어류서식 적합도 향상을 위한 하천구조 개선 방안을 위한 연구이다. 이를 위해 대상하천의 유역 및 수중환경조사와 어류의 군집특성 결과를 이용하여 건전한 수중생태계를 대표할 수 있는 복원 목표어종으로 참갈겨니를 선택하였다. PHABSIM을 이용한 검증결과 유속과 수심에 대한 적합지수 향상을 위한 저수로 폭의 변화는 대상어종의 서식적합도 향상을 가져왔음을 알 수 있었다. 그러나 서식적합지수 향상을 위한 저수로 폭의 변화는 일관성 있는 서식적합도의 향상을 나타내지 못함을 확인하였다. Genetic Algorithm을 이용하여 대상하천의 서식적합도 개선을 위한 주어진 유지유량에 따른 하천 구간별 유속, 수심을 고려한 저수로 폭의 최적 방안을 제시하였다. 저수로 단면 구조개선의 방안 제시는 수계환경개선을 위한 각종 사업에 기여할 것으로 판단된다.