This page has only limited features, please log in for full access.

Unclaimed
Wonkyong Song
Department of Landscape Architecture, Dankook University 119, Dandae-ro, Dongnam-gu, Cheonan 31116, Korea

Honors and Awards

The user has no records in this section


Career Timeline

The user has no records in this section.


Short Biography

The user biography is not available.
Following
Followers
Co Authors
The list of users this user is following is empty.
Following: 0 users

Feed

Journal article
Published: 30 May 2021 in Sustainability
Reads 0
Downloads 0

Invasive alien species (IAS) not only displace nearby indigenous plants and lead to habitat simplification but also cause severe economic damage by invading arable lands. IAS invasion processes involve external forces such as species characteristics, IAS assemblage traits, environmental conditions, and inter-species interactions. In this study, we analyzed the invasion processes associated with the introduction and spread of Ageratina altissima, a representative invasive plant species in South Korea. We investigated 197 vegetation quadrats (2 × 20 m) in regions bordering 47 forests in southern Seoul and Gyeonggi-do, South Korea. A total of 23 environmental variables were considered, which encompassed vegetation, topography, land use, and landscape ecology indices. The model was divided into an edge and an interior model and analyzed using logistic regression and a decision tree (DT) model. The occurrence of Ageratina altissima was confirmed in 61 sites out of a total of 197. According to our analysis, Ageratina altissima easily invaded forest edges with low density. The likelihood of its occurrence increased with lower elevation and gentler slope. In contrast, the spread of Ageratina altissima in the forest interior, especially based on seed spread and permeability, was favored by a lower elevation and gentler slopes. The analysis of Ageratina altissima settlement processes in forest edges coupled with the DT model demonstrated that land characteristics, such as the proximity to urbanized areas and the number of shrub and tree species, play a pivotal role in IAS settlement. In the forest interior, Ageratina altissima did not occur in 68 of the 71 sites where the soil drainage was under 2.5%, and it was confirmed that the tree canopy area had a significant impact on forest spread. Based on these results, it can be assumed that Ageratina altissima has spread in South Korean forests in much the same way as other naturalized species. Therefore, vegetation management strategies for naturalized species should be developed in parallel with land use management policy in regions surrounding forest edges to successfully manage and control Ageratina altissima invasion.

ACS Style

Eunyoung Kim; Jaeyong Choi; Wonkyong Song. Introduction and Spread of the Invasive Alien Species Ageratina altissima in a Disturbed Forest Ecosystem. Sustainability 2021, 13, 6152 .

AMA Style

Eunyoung Kim, Jaeyong Choi, Wonkyong Song. Introduction and Spread of the Invasive Alien Species Ageratina altissima in a Disturbed Forest Ecosystem. Sustainability. 2021; 13 (11):6152.

Chicago/Turabian Style

Eunyoung Kim; Jaeyong Choi; Wonkyong Song. 2021. "Introduction and Spread of the Invasive Alien Species Ageratina altissima in a Disturbed Forest Ecosystem." Sustainability 13, no. 11: 6152.

Research article
Published: 04 January 2021 in Landscape Ecology
Reads 0
Downloads 0

Although many studies have considered urban structure when investigating urban ecological networks, few have considered the three-dimensional (3D) structure of buildings as well as urban green spaces. Airborne LiDAR datasets provide an opportunity to quantify 3D structure and evaluate 3D metrics in connectivity mapping. We examined an urban ecological network using the 3D structure of both green spaces and buildings. Using breeding-season bird species observations and airborne LiDAR data collected, we assessed the influence of 3D structural variables on species diversity. We used correlation analyses to determine if vertical distribution, volume, area, and height of both buildings and vegetation were related to bird species diversity. Then we conducted circuit theory-based current flow betweenness centrality (CFBC) analysis using the LiDAR-derived structural variables. We found that the volumes of buildings and 8–10 m vegetation heights were both highly correlated with species richness per unit area. There were significant differences between 2D and 3D connectivity analysis using LiDAR-derived variables among urban forest patches, boulevards, and apartment complexes. Within urban forest patches and parks, 3D CFBC represented canopy structural characteristics well, by showing high variance in spatial distributions. The 3D CFBC results indicated that adjacent high-rise buildings, dense apartment complexes, and densely urbanized areas were isolated, as characterized by low centrality values, but that vegetation planted in open spaces between buildings could improve connectivity by linking isolated areas to core areas. Our research highlights the importance of considering 3D structure in planning and managing urban ecological connectivity.

ACS Style

Heejoon Choi; YoungKeun Song; Wanmo Kang; James H. Thorne; Wonkyong Song; Dong Kun Lee. LiDAR-derived three-dimensional ecological connectivity mapping for urban bird species. Landscape Ecology 2021, 36, 581 -599.

AMA Style

Heejoon Choi, YoungKeun Song, Wanmo Kang, James H. Thorne, Wonkyong Song, Dong Kun Lee. LiDAR-derived three-dimensional ecological connectivity mapping for urban bird species. Landscape Ecology. 2021; 36 (2):581-599.

Chicago/Turabian Style

Heejoon Choi; YoungKeun Song; Wanmo Kang; James H. Thorne; Wonkyong Song; Dong Kun Lee. 2021. "LiDAR-derived three-dimensional ecological connectivity mapping for urban bird species." Landscape Ecology 36, no. 2: 581-599.

Original paper
Published: 18 March 2020 in Landscape and Ecological Engineering
Reads 0
Downloads 0

Urban parks and green areas are increasing globally. However, when hornets (genus Vespa) in particular among wild organisms adapt to and settle in urban green spaces, they are likely to come into conflict with humans. In this study in Cheonan city, South Korea, between April and June 2017, we used hornet traps to capture queen hornets that were awakening from hibernation, and identified the characteristics of these queen hornets. We selected three green types of urban areas, namely a natural-type neighborhood park, a children’s park, and a remnant forest. We analyzed the simple regression between captured queen hornets and time over an eight-week period, as well as the relationship between captured queen hornets and microhabitat variables (including Normalized Difference Vegetation Index, canopy openness, elevation, land cover rate, and herbaceous plant cover rate), and green type. Over time, there was a significant increase in the number of Vespa ducalis and Vepsa analis that were late in awakening from hibernation. The number of captured queen hornets was significantly different in urban parks compared with in the remnant forest. However, V. ducalis was as frequently captured in the natural neighborhood park as were other queen hornet species. Some queen hornet species were significantly positively correlated with elevation (Vespa crabro, Vespa mandarinia, V. ducalis), herbaceous plant cover rate (all species of queen hornets), broad-leaved forest (all species of queen hornets), and artificially barren ground (all species of queen hornets) of microhabitat. Different species were affected differently by the microhabitat variables tested. Consequently, we recommend that when urban green spaces are created, design criteria for complex urban parks should aim at ensuring suitability for use by local residents, and for hornet conservation.

ACS Style

Whee-Moon Kim; Seoung-Yeal Kim; Wonkyong Song. Microhabitat characteristics affecting the occurrence and diversity of queen hornets (genus Vespa) in an urban green area. Landscape and Ecological Engineering 2020, 16, 173 -186.

AMA Style

Whee-Moon Kim, Seoung-Yeal Kim, Wonkyong Song. Microhabitat characteristics affecting the occurrence and diversity of queen hornets (genus Vespa) in an urban green area. Landscape and Ecological Engineering. 2020; 16 (2):173-186.

Chicago/Turabian Style

Whee-Moon Kim; Seoung-Yeal Kim; Wonkyong Song. 2020. "Microhabitat characteristics affecting the occurrence and diversity of queen hornets (genus Vespa) in an urban green area." Landscape and Ecological Engineering 16, no. 2: 173-186.

Journal article
Published: 23 April 2019 in International Journal of Environmental Research and Public Health
Reads 0
Downloads 0

The role that psychological variables play in depression among elderly urban residents has received little research attention. Therefore, the purpose of this study was to examine the relationships between social capital, social capital satisfaction, self-esteem, and depression among elderly urban residents. We used the responses provided by 701 elderly persons to scales assessing social capital (i.e., network, trust), social capital satisfaction, self-esteem, and depression, as part of the Korea Welfare Panel Study (KOWEPS). We conducted a confirmatory factor analysis and tested the validity of a proposed statistical model using structural equation modeling (SEM). The results showed that trust in social capital, social capital satisfaction, and self-esteem were significantly related to depression. Further, social capital satisfaction and self-esteem fully and partially mediated the relationship between trust and depression, respectively. These findings serve as an empirical base upon which social welfare policies can be founded that benefit elderly urban residents with weak social capital, low social capital satisfaction, and poor self-esteem.

ACS Style

Lee; Wonkyong Song; Song; Hyun Jin Lee; Dong Kun Lee. Relationships between Social Capital, Social Capital Satisfaction, Self-Esteem, and Depression among Elderly Urban Residents: Analysis of Secondary Survey Data. International Journal of Environmental Research and Public Health 2019, 16, 1445 .

AMA Style

Lee, Wonkyong Song, Song, Hyun Jin Lee, Dong Kun Lee. Relationships between Social Capital, Social Capital Satisfaction, Self-Esteem, and Depression among Elderly Urban Residents: Analysis of Secondary Survey Data. International Journal of Environmental Research and Public Health. 2019; 16 (8):1445.

Chicago/Turabian Style

Lee; Wonkyong Song; Song; Hyun Jin Lee; Dong Kun Lee. 2019. "Relationships between Social Capital, Social Capital Satisfaction, Self-Esteem, and Depression among Elderly Urban Residents: Analysis of Secondary Survey Data." International Journal of Environmental Research and Public Health 16, no. 8: 1445.

Journal article
Published: 05 September 2017 in Applied Sciences
Reads 0
Downloads 0

This study developed habitat potential maps for the marten (Martes flavigula) and leopard cat (Prionailurus bengalensis) in South Korea. Both species are registered on the Red List of the International Union for Conservation of Nature, which means that they need to be managed properly. Various factors influencing the habitat distributions of the marten and leopard were identified to create habitat potential maps, including elevation, slope, timber type and age, land cover, and distances from a forest stand, road, or drainage. A spatial database for each species was constructed by preprocessing Geographic Information System (GIS) data, and the spatial relationship between the distribution of leopard cats and environmental factors was analyzed using an artificial neural network (ANN) model. This process used half of the existing habitat location data for the marten and leopard cat for training. Habitat potential maps were then created considering the relationships. Using the remaining half of the habitat location data for each species, the model was validated. The results of the model were relatively successful, predicting approximately 85% for the marten and approximately 87% for the leopard cat. Therefore, the habitat potential maps can be used for monitoring the habitats of both species and managing these habitats effectively.

ACS Style

Saro Lee; Sunmin Lee; Wonkyong Song; Moung-Jin Lee. Habitat Potential Mapping of Marten (Martes flavigula) and Leopard Cat (Prionailurus bengalensis) in South Korea Using Artificial Neural Network Machine Learning. Applied Sciences 2017, 7, 912 .

AMA Style

Saro Lee, Sunmin Lee, Wonkyong Song, Moung-Jin Lee. Habitat Potential Mapping of Marten (Martes flavigula) and Leopard Cat (Prionailurus bengalensis) in South Korea Using Artificial Neural Network Machine Learning. Applied Sciences. 2017; 7 (9):912.

Chicago/Turabian Style

Saro Lee; Sunmin Lee; Wonkyong Song; Moung-Jin Lee. 2017. "Habitat Potential Mapping of Marten (Martes flavigula) and Leopard Cat (Prionailurus bengalensis) in South Korea Using Artificial Neural Network Machine Learning." Applied Sciences 7, no. 9: 912.