The Perceptions and Use of Urban Neighborhood Parks Since the Outbreak of COVID-19: A Case Study in South Korea.

As the COVID-19 pandemic continues, the stress of city dwellers is increasing, and some adapt to the pandemic by pursuing physical and psychological well-being in neighborhood parks. To improve the resilience of the social-ecological system against COVID-19, it is important to understand the mechanism of adaptation by examining the perception and use of neighborhood parks. The purpose of this study is to investigate users' perceptions and use of urban neighborhood parks since the outbreak of COVID-19 in South Korea using systems thinking. To verify the hypotheses about the relationship between variables involved in COVID-19 adaptive feedback, two research objectives were set. First, this study determined the causal structure leading to park visits using systems thinking. Second, the relationship between stress, motivation, and the frequency of visits to neighborhood parks was empirically verified. To conduct the research, the system of use and perceptions of parks were analyzed through a causal loop diagram to determine the feedback between psychological variables. Then, a survey was conducted to verify the relationship between stress, motivation for visits, and visit frequency, which are the major variables derived from the causal structure. A total of three feedback loops were derived in the first step, including a loop in which COVID-19 stress was relieved by visits to parks and a loop in which COVID-19 stress worsened due to crowding in parks. Finally, the relationship of stress leading to park visits was confirmed, and the empirical analysis showed that anger about contagion and social disconnection were linked as motives for park visits, and that park visits were mainly motivated by the desire to go out. The neighborhood park functions as an adaptive space for the stress of COVID-19 and will maintain its role as social distancing becomes more important to various socio-ecological changes. The strategies driven by the pandemic can be adapted in park planning to recover from stress and improve resilience.

Nature-Based Restoration Simulation for Disaster-Prone Coastal Area Using Green Infrastructure Effect.

Floods in coastal areas are caused by a range of complex factors such as typhoons and heavy rainfall, and this issue has become increasingly serious as interference has occurred in the social-ecological system in recent years. Given the structural limitations and high maintenance costs of the existing gray infrastructure, the need for a nature-based restoration plan utilizing green infrastructure has been raised. The purpose of this study is to simulate the restoration process through the quantification of green infrastructure effects along with resilience in disaster-prone coastal areas, and to present it as nature-based restoration planning. For this purpose, first, a disaster-prone area was derived from Haeundae-gu, Busan, Republic of Korea, which was affected by typhoons. In order to simulate the runoff from typhoon "Chaba" in the target area and the effects of reducing the runoff of green infrastructure, relevant data was collected and a model constructed. Finally, the effects of the green infrastructure as applied to the disaster-prone area were quantified by means of resilience and a nature-based restoration plan was presented. As a result of this study, first, the runoff reduction effect was greatest when the maximum biotope area ratio of 30% was applied to the artificial ground. In the case of the green roof, the effect was the greatest 6 h following the typhoon passing through, and the effects of the infiltration storage facility was greater 9 h following the same. Porous pavement exhibited the lowest runoff reduction effect. In terms of resilience, it was found that the system was restored to its original state after the biotope area ratio of 20% was applied. This study is significant in that it analyzes the effects of green infrastructure based upon the concept of resilience and connects them to nature-based restoration planning. Based on this, it will be provided as an important tool for planning policy management to effectively respond to future coastal disasters.

Modeling the resilient supply of ecosystem function for climate change adaptive management in Wetland City.

Rapid urbanization causes wetland ecosystem functions to degrade worldwide. This phenomenon negatively affects the resilience of ecosystem functions in the face of unexpected impacts, particularly climate change. An approach is required for combining resilience with management in a Wetland City. This study aims to model the resilience of ecosystem functions for climate change adaptation management in a Wetland City via system dynamics from 2021 to 2100. First, we set a system boundary through expert interviews to identify the main issues in the social-ecological system of a Wetland City. Second, we constructed a social-ecological system of a Wetland City that provides ecosystem function trade-offs between flood control and wildlife habitat provisioning. Then, we simulated the resilience of ecosystem functions according to different climate change adaptative management scenarios. Finally, we determined an appropriate scenario for minimizing the impacts of ecosystem function trade-offs reinforced by climate change. As a result, we recommend that the water level should be managed such that the controlled flood water level ranges from 12 to 14 m and that 30% of the willow areas should be thinned each year. Based on these simulation results, we proposed three climate change adaptive management strategies: considering long-term plans including short-term effects, networking with multiscale community participation, and applying sustainable wetland management to urban planning. Ultimately, this study can contribute to planning and management guidelines for a Wetland City.

How Can Apartment-Complex Landscaping Space Improve Residents' Psychological Well-Being?: The Case of the Capital Region in South Korea.

Urban green spaces have a positive impact on citizens' mental health and have contributed to improving their quality of life during the COVID-19 pandemic. In South Korea, where more than 50% of all households live in apartments, apartment-complex landscaping space plays the role of urban green space. This study aimed to investigate the relationships among a perceived restorative environment, restorative experience, life satisfaction, and psychological well-being by conducting a survey between residents living in apartments with landscape space. More specifically, an online survey was conducted from 8 to 15 June 2021 among residents in apartment complexes (500 households or more) located in the capital region in South Korea. We applied partial least squares structural equation modelling (PLS-SEM) using 220 samples to test the causal relationship presented in the conceptual model of this study. The results revealed that residents' perceptions of the restorative environment of landscape space, including fascination, being away, and coherence had positive effects on restorative attention. Among the restorative environmental factors, the higher the "being away", the greater the effect on restorative attention. Second, the effects of fascination and coherence on life satisfaction were mediated by restorative attention. Third, restorative attention and life satisfaction significantly influenced psychological well-being. Additionally, life satisfaction acts as a mediator in the relationship between restorative attention and psychological well-being. In summary, this study has theoretical implications, in that it explores the effects of apartment complex landscaping space as urban green spaces on residents' mental health.

Stormwater runoff reduction simulation model for urban flood restoration in coastal area.

Urban floods caused by expanding impervious areas due to urban development and short-term heavy precipitation adversely affect many coastal cities. Notably, Seoul, one of the coastal cities that experiences acute urban floods, suffers annually from urban floods during the rainfall season. Consequently, to mitigate the impacts of urban floods in Seoul, we established flood-vulnerable areas as target areas where green infrastructure planning was applied using the Stormwater Runoff Reduction Module (SRRM). We selected the Gangdong, Gangbuk, and Dobong districts in Seoul, Korea, all of which demonstrate high flood vulnerability. Analyses in reducing the runoff amount and peak time delay effect were estimated by model simulation using the SRRM. The reduction in peak discharge for the whole area occurred in the following order: Gangdong district, then Gangbuk district, and lastly Dobong district. In contrast, the reduction in peak discharge per unit area was most prominent in Gangbuk district, followed by Dobong and Gangdong districts. However, the delay effect was almost identical in all target areas. Based on the simulation results in this study, we planned green infrastructure, including green roofs, infiltration storage facilities, and porous pavement. We believe that the results of this study can significantly enhance the efficiency of urban flood restoration and green infrastructure planning in coastal cities. Supplementary Information: The online version contains supplementary material available at 10.1007/s11069-022-05477-7.

Street Tree Planning to Improve Public Health and Ecosystem Resilience in Urban Areas: A Scenario Analysis Using a System Dynamics Model.

Increases in particulate matter in cities threaten both public health and ecosystems. Street trees, which are a corridor-type green infrastructure capable of absorbing particulate matter, have been promoted as one possible solution to this problem. However, planting selected trees solely with the goal of reducing particulate matter may adversely affect street tree ecosystem resilience by inhibiting species diversity. This study aims to investigate urban street tree planting strategies that reduce particulate matter while maintaining ecosystem resilience. To this end, a study site in Suwon, South Korea was selected, and street tree planting scenarios were developed based on the selected site information. A scenario analysis was conducted using a system dynamics model. The model simulated the long-term trends under each scenario regarding the amount of particulate matter absorbed by the trees and the changes in species diversity. The analysis results clearly show that strategic planting of street trees while focusing on only a specific purpose-reducing particulate matter-can adversely affect ecosystem resilience. The scenario analysis also revealed that increasing the number of street trees while maintaining a balance among various species is the best option for reducing particulate matter without degrading species diversity. Additionally, the results support the need to plant evergreen species to consider the winter season.

Adaptation and transformation planning for resilient social-ecological system in coastal wetland using spatial-temporal simulation.

Coastal wetlands comprise unique ecological systems such as tidal flats and wetlands coexisting with marine and terrestrial ecosystems. The Songdo wetlands in South Korea are adjacent to the Yellow Sea, and were once composed mainly of tidal flats, but as urbanization progressed, their social-ecological system changed. The social system created by land reclamation and development reduced the migratory bird population and the tidal flat area, damaging the ecological system. This study suggests adaptation and transformation plans by analyzing land use change and fragmentation of the Songdo wetlands using spatial-temporal simulation. System dynamics and GIS were used in the process of analyzing land use change through spatial-temporal simulation, and FRAGSTATS was used in the analysis of wetland fragmentation. Scenario 1 (current state maintenance) presents adaptation plans to increase the connectivity of wetland patches, since fragmentation has not progressed to the extent of wetland system collapse. In Scenario 2 (development acceleration), since the wetland system causes serious fragmentation in terms of area and shape, we propose transformation plans such as disaster response to the collapse of the ecological system and qualitative improvement of wildlife habitat. In Scenario 3 (wetland restoration), proposes transformation plans from the network and modularization perspective in response to quantitative restoration and morphological fragmentation of wetlands. The adaptation and transformation plans presented in this study can provide prediction results suitable for various contingencies such as the current state, acceleration of development, and wetlands restoration. This study is also meaningful in that it proposes plans from the perspective of resilience by predicting the change of the Songdo area, which is scheduled to be developed by 2030.

Forest management can mitigate negative impacts of climate and land-use change on plant biodiversity: Insights from the Republic of Korea.

Over the past century, the decline in biodiversity due to climate change and habitat loss has become unprecedentedly serious. Multiple drivers, including climate change, land-use/cover change, and qualitative change in habitat need to be considered in an integrated approach, which has rarely been taken, to create an effective conservation strategy. The purpose of this study is to quantitatively evaluate and map the combined impacts of those multiple drivers on biodiversity in the Republic of Korea (ROK). To this end, biodiversity persistence (BP) was simulated by employing generalized dissimilarity modeling with estimates of habitat conditions. Habitat Condition Index was newly developed based on national survey datasets to represent the changes in habitat quality according to the land cover changes and forest management, especially after the ROK's National Reforestation Programme. The changes in habitat conditions were simulated for a period ranging from the 1960s to the 2010s; additionally, future (2050s) spatial scenarios were constructed. By focusing on the changes in forest habitat quality along with climate and land use, this study quantitatively and spatially analyzed the changes in BP over time and presented the effects of reforestation and forest management. The results revealed that continuous forest management had a positive impact on BP by offsetting the negative effects of past urbanization. Improvements in forest habitat quality also can effectively reduce the negative impacts of climate change. This quantitative analysis of successful forest restoration in Korea proved that economic development and urbanization could be in parallel with biodiversity enhancement. Nevertheless, current forest management practices were found to be insufficient in fully offsetting the decline in future BP caused by climate change. This indicates that there is a need for additional measures along with mitigation of climate change to maintain the current biodiversity level.

Key coastal landscape patterns for reducing flood vulnerability.

The purpose of the present study was to examine key coastal landscape patterns related to flood vulnerability to support resilience strategies for coastal green infrastructure. To this end, we assessed the flood vulnerability of coastal landscapes based on three indicators: exposure, including precipitation; sensitivity, including elevation, slope, soil, drainage, and density; and adaptability, including urban land-use. Subsequently, we investigated whether landscape patterns, including the shape index and subdivision index, would affect flood vulnerability through a multivariate regression analysis, which allowed us to determine key coastal landscape patterns. At the regional scale, including the overall study site, we suggested strategies for green infrastructure planning, focusing on patch shapes of forest, grassland, and water. At each local scale, a variety of landscape patterns were selected: the contiguity index of used area for the central subregion: the division index of forests, the contiguity of water, and the fractal dimension index of used area for the northeast subregion; the circumscribing circle index of barren and wetlands for the northwest subregion; the division and fractal index of forests for the southwest subregion; and the division index of forests and the fractal index of water for the southeast subregion. Based on the derived landscape patterns of each subregion, we propose coastal green infrastructure planning with resilience strategies.

A spatial approach to climate-resilient infrastructure in coastal social-ecological systems: The case of dumbeong in Goseong County, South Korea.

Sustainable landscape planning and management of coastal habitats has become an integral part of the global agenda due to anthroprogenic pressures and climate change-induced events. As an example of human-engineered infrastructure that enhances the sustainability and resilience of coastal social-ecological systems (SES), we have presented the dumbeong system, a farmer-engineered and managed irrigation system based on Korean traditional ecological knowledge. We analyzed the spatial relationship of dumbeongs with coastal landscape attributes and droughts in Goseong County in South Korea. We used generalized linear models (GLMs) to examine the effects of land cover and recent (2001-2010) standardized precipitation index (SPI) on the abundance of dumbeongs. Then, we projected near future (2020-2050) changes in the SPI-based drought risk for the dumbeong system using representative concentration pathway (RCP) climate scenarios. We found that forest and marine water areas have positive relations with dumbeong abundance, whereas SPI has a negative relation, indicating that the dumbeongs are more abundant in areas close to sea water and forests, and with higher incidences of drought. Derived climate change scenarios show that the study region will experience higher incidence of drought. Our findings provide empirical evidence for the dumbeong system as an effective community designed and driven adaptive response to local hydrological processes and climatic conditions, and as climate-resilient infrastructure that strengthens sustainability and resilience of coastal SES. Based on our findings, we provide recommendations for sustainable landscape management and optimal use of the dumbeong system in coastal regions.

Sustainable monitoring coverage of unmanned aerial vehicle photogrammetry according to wing type and image resolution.

Unmanned aerial vehicles can collect high-resolution and real-time photos while emitting fewer greenhouse gases than ordinary airplanes and therefore are considered economic and environmentally friendly platforms. However, quantitative analyses of the sustainability of using unmanned aerial vehicles for aerial photography based on their performance and technical constraints compared to that of airplanes are lacking. The purpose of this study is to analyze the economically and environmentally appropriate monitoring coverage of unmanned aerial vehicle photogrammetry according to wing type (such as fixed-wing and rotary-wing types) and desired image resolution (such as 5 cm/pix and 20 cm/pix for the ground sample distance). To determine the sustainable monitoring coverage, the total photogrammetry costs must include the social cost to reduce the emitted greenhouse gases during operation, resulting in a feedback relation. As a result, the sustainable monitoring coverage of fixed-wing unmanned aerial vehicles should be less than 27.50 km2 when the resolution is 5 cm/pix and 30.64 km2 when the resolution is 20 cm/pix. Rotary-wing unmanned aerial vehicles are sustainable when their monitoring coverage is less than 23.98 km2 at a resolution of 5 cm/pix and 26.75 km2 at a resolution of 20 cm/pix. These results provide information on the number of unmanned aerial vehicles and the standing unmanned aerial vehicle deployment plans required to monitor the survey area.

Key coastal landscape structures for resilient coastal green infrastructure to enhance the abundance of migratory birds on the Yellow Sea.

The aim of this study was to investigate the key landscape structures of migratory bird habitats that affect abundance of migratory birds to promote resilient coastal green infrastructure planning on the Yellow Sea coast. We classified coastal areas into four watersheds of South Korea and conducted multivariate regression analysis between migratory bird populations and landscape structures including total class area (CA), patch area distribution (MN), patch density (PD), and edge density (ED). At the national level, sandbank MN, sandbank CA, water ED, and grasslands were derived as key landscape structures affecting the abundance of migratory birds. At the watershed level, key landscape structures were determined as follows: Urban area_MN for the Han River watershed, rice paddy MN for the Asan watershed, rice paddy CA for Saemangeum, and grassland MN for the Youngsan River watershed. Considering the multifunctionality, redundancy, and connectivity of the resilience strategy, we provide specific coastal infrastructure planning recommendations at the national and watershed scales.

Coastal landscape planning for improving the value of ecosystem services in coastal areas: Using system dynamics model.

Coastal areas provide important ecosystem services and affect local tourism. However, these areas are also sensitive to coastal erosion. The purpose of this study was to simulate a landscape plan scenario to improve the value of ecosystem services. The Shinduri coastal area in South Korea which has important natural resources, such as coastal sand dunes and coastal forests. To simulate landscape changes, this study was conducted using system dynamics. The study progressed in three stages: first, an analysis of the landscape change behavior model of Shinduri in its current state and an evaluation of the value of ecosystem services was conducted. Second, a simulation was carried out by applying a coastal erosion scenario. Third, a simulation of landscape change was run, and the value of ecosystem services was estimated, with regard to afforestation, thinning, weeding and coastal sand dune restoration plan scenarios. The results were as follows: in the absence of disturbances, current landscape change models are stable, and the value of ecosystem services, which was $859,259 in 2014, has increased over time. However, the value of ecosystem services decreased when subjected to a coastal erosion scenario. The evaluation of value of ecosystem services under afforestation, thinning, weeding and coastal sand dune plan scenarios revealed an optimal landscape plan that focuses on a coastal sand dune restoration plan suggesting restoration of these dunes at a rate of 27.05 ha per year. When the coastal sand dune restoration plan is applied, the value of ecosystem services increases to $ 895,474 by 2054. The coastal sand dune restoration plan should prioritize the protection of the coastal sand dune area as component of the restoration of coastal ecological resources in the area. These findings could contribute to the ecological management and improvement of coastal ecosystem services.

Simulation modeling for a resilience improvement plan for natural disasters in a coastal area.

Floods are threats to ecosystems that are caused by natural disasters such as typhoons and heavy rain, and to respond to these threats, resilience needs to be improved. In this study, the response of the social-ecological system of Haeundae-gu (Busan, Republic of Korea) to disasters is analyzed by using a causal loop diagram, and a resilience improvement plan is presented by simulating the disaster resilience using green infrastructure through the System Resilience Dynamics Model. First, the resilience values are highest when green infrastructure is applied at the maximum applicable ratio (30%) compared with no application. Second, in the public and private areas of Haeundae-gu, resilience according to green roof scenario was higher until approximately 8 h after the beginning of rainfall, but then the resilience according to infiltration storage facility scenario was higher. In the transportation and industrial areas, the overall resilience according to infiltration storage facility scenario was higher than the resilience according to porous pavement scenario. This study demonstrates that a resilience improvement plan based on simulation can support decision making to respond to disasters such as typhoons.