도시생태계는 주 구성원인 인간의 사회구조와 경제활동이 주축이 되고, 부 구성원인 자연이 주 구성원과 상호관계를 받으면서 존재하는 실체이다. 도시 생태계는 사회구조와 경제활동이 일어나는 핵심부와 그것과 직접 관계하는 기초부 및 물질과 에너지의 공급원, 수용원 및 축적을 담당하는 외부환경의 세 부위로 구성되는, 사회-경제-자연-복합 생태계SENCE)로 이해할 수 있다. 도시생태계는 자연생태계의 원리에 따라 기능을 조절하고 시스템모델 기법으로 분석할 수 있다. 도시생태계의 범위는 그 크기, 독립영양과 종속영양의 평형, 기능적 활성 및 발달단계에 따른 ㅗ이부환경(입력환경과 출력환경)의 변화에 의하여 크게 달라진다. 생태학자나 환경학자는 도시생태계를 자연만을 대상으로 연구하였지만 앞으로는 사회학자와 공동으로 연구하여야 문제의 정곡에 접근할 수 있을 것이다.
The community structure of benthic macroinvertebrates in Upo wetland was identified, and the biological water quality was evaluated. In addition, through statistical analysis of current and literature data, ecological changes over time were evaluated for each wetland. Benthos were quantitatively collected in March, June, and September of 2020 and 2021, and 4 phyla, 5 classes, 16 orders, 42 families, 81 species and 3,406 individuals were identified. In the functional feeding group of Upo wetland, predators were dominant with 34 species (45.95%) and 1,504 individuals (41.84%). In the habitual dwelling group, sprawlers and swimmers showed the highest proportion in the number of species and individuals. Average biological indices in Mokpo and Upo were the highest and lowest, respectively, and it is considered that Mokpo maintains the healthy ecosystem for benthic macroinvertebrates. Community stability was high in Upo, and other wetlands are thought to be stabilizing. The ecological score of benthic macroinvertebrate community is considered to be more suitable index among three biological water quality evaluation indices for the environmental evaluation of Upo wetland. The evaluation results on changes in environmental quality showed that Upo has stable ecosystem without significant change, Mokpo and Sajipo have significant increases in some indices.
Ecological disturbance plants distributed throughout the country are causing a lot of damage to us directly or indirectly in terms of ecology, economy and health. These plants are not easy to manage and remove because they have a strong fertility, and it is very difficult to express them quantitatively. In this study, drone hyperspectral sensor data and Field spectroradiometer were acquired around the experimental area. In order to secure the quality accuracy of the drone hyperspectral image, GPS survey was performed, and a location accuracy of about 17cm was secured. Spectroscopic libraries were constructed for 7 kinds of plants in the experimental area using a Field spectroradiometer, and drone hyperspectral sensors were acquired in August and October, respectively. Spectral data for each plant were calculated from the acquired hyperspectral data, and spectral angles of 0.08 to 0.36 were derived. In most cases, good values of less than 0.5 were obtained, and Ambrosia trifida and Lactuca scariola, which are common in the experimental area, were extracted. As a result, it was found that about 29.6% of Ambrosia trifida and 31.5% of Lactuca scariola spread in October than in August. In the future, it is expected that better results can be obtained for the detection of ecosystem distribution plants if standardized indicators are calculated by constructing a precise spectral angle standard library based on more data.