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Search Word: Spatial analysis, Search Result: 4
1
Kyungmin Kim(Wildlife Disease Respond Team, National Institute of Wildlife Disease Control and Prevention) ; Yoonjung Yi(College of Biology and the Environment, Nanjing Forestry University) ; Donggul Woo(Ecological Space Research Team, Division of Ecosystem Assessment, National Institute of Ecology) ; Taejin Park(Ecological Space Research Team, Division of Ecosystem Assessment, National Institute of Ecology) ; Euigeun Song(Ecological Space Research Team, Division of Ecosystem Assessment, National Institute of Ecology) 2021, Vol.2, No.4, pp.274-278 https://doi.org/10.22920/PNIE.2021.2.4.274
초록보기
Abstract

Road structures play an important role in collisions involving vehicles and wildlife. Our study aimed to determine the effect of various types of road structures on the risk associated with roadkill. We surveyed 50 previously identified roadkill hotspots, ranked from one to five according to roadkill density. We collected nine types of road structure data on each hotspot road section. Structures with similar characteristics were grouped together, resulting in five categories, namely, median barrier, high edge barrier, low edge barrier, speed, and visibility. We examined the existence of each road structure category at each hotspot rank. The cumulative link model showed that the absence of bottom blocked median barrier increased the roadkill hotspot rank. Our study concluded that a visual obstacle in the middle of roads by the median barrier decreases wildlife road crossing attempts and roadkill risk. We suggest that future roadkill mitigation plans should be established considering these characteristics.


2
Jun-Kyu Park(Department of Biological Science, Kongju National University) ; Nakyung Yoo(National Institute of Ecology, Research Center for Endangered Species) ; Yuno Do(Department of Biological Science, Kongju National University) 2021, Vol.2, No.2, pp.120-128 https://doi.org/10.22920/PNIE.2021.2.2.120
초록보기
Abstract

The objective of this study was to analyze the genotype of black-spotted pond frog (Pelophylax nigromaculatus) using seven microsatellite loci to quantify its genetic diversity and population structure throughout the spatial scale of basins of Han, Geum, Yeongsan, and Nakdong Rivers in South Korea. Genetic diversities in these four areas were compared using diversity index and inbreeding coefficient obtained from the number and frequency of alleles as well as heterozygosity. Additionally, the population structure was confirmed with population differentiation, Nei’s genetic distance, multivariate analysis, and Bayesian clustering analysis. Interestingly, a negative genetic diversity pattern was observed in the Han River basin, indicating possible recent habitat disturbances or population declines. In contrast, a positive genetic diversity pattern was found for the population in the Nakdong River basin that had remained the most stable. Results of population structure suggested that populations of black-spotted pond frogs distributed in these four river basins were genetically independent. In particular, the population of the Nakdong River basin had the greatest genetic distance, indicating that it might have originated from an independent population. These results support the use of genetics in addition to designations strictly based on geographic stream areas to define the spatial scale of populations for management and conservation practices.


3
Seung Woo Son(Department of Land and Water Environment Research, Korea Environment Institute) ; Jae Jin Yu(Department of Land and Water Environment Research, Korea Environment Institute) ; Dong Woo Kim(Department of Land and Water Environment Research, Korea Environment Institute) ; Hyun Su Park(Team of Ecosystem Service, National Institute of Ecology) ; Jeong Ho Yoon(Department of Land and Water Environment Research, Korea Environment Institute) 2021, Vol.2, No.4, pp.298-304 https://doi.org/10.22920/PNIE.2021.2.4.298
초록보기
Abstract

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.


4
Devy Atika Farah(Universitas Negeri) ; Agus Dharmawan(Universitas Negeri) ; Vivi Novianti(Universitas Negeri) 2021, Vol.2, No.3, pp.144-152 https://doi.org/10.22920/PNIE.2021.2.3.144
초록보기
Abstract

Sanankerto is one of pilot projects for tourism villages in Indonesia due to its natural tourism potential with a 24-ha bamboo forest located in Boon Pring Andeman area. However, the distribution of existing bamboo has never been identified or mapped. Thus, the management is facing difficulty in planning and developing tourism potential as well as spatial management in the area. Therefore, the objectives of this study were to identify and analyze the structure of bamboo vegetation in the Boon Pring Tourism village and to perform vegetation mapping. The type of research was descriptive exploratory with a cluster sampling technique (i.e., a two-stage cluster) covering an area of ± 10 ha. Bamboo vegetation analysis was performed by calculating diversity index (H’), evenness index (E), and Species Richness index (R). Data were collected through observation and interviews with local people and the manager to determine zonation division. Mapping of bamboo vegetation based on zoning was processed into thematic maps using ArcGis 10.3. Micro climatic factors were measured with three replications for each sub-cluster. Data were analyzed descriptively and quantitatively. Nine species of bamboo identified. Diversity, evenness, and species richness indices differed at each location. Activities of local communities, tourists, and manager determined the presence, number, and distribution of bamboo species. These bamboo distribution maps in three zoning (utilization, buffer, and core) can be used by manager for planning and developing natural tourism potential.


Proceedings of the National Institute of Ecology of the Republic of Korea