An ecotourism system that is based on wildlife habitats in ecological systems is considered a social-ecological system that has a feedback relationship with social systems. Increases in socioeconomic activities and tourism infrastructure construction are not conducive to the resilience of wildlife habitats, thereby stressing the ecological system and threatening sustainable ecotourism. Managing resilient wildlife habitats by developing transformation plans that can be used to construct new systems through self-organization and the absorption of stress is paramount to perpetuating sustainable ecotourism systems. This study aims to establish transformation plans to enhance the resilience of systems thinking regarding wildlife habitats. Such thinking involves the sequential application of dynamic thinking, causal thinking, closed-loop thinking, and the discovery of strategies. This study examines the case study of Eulsukdo Island in South Korea, and the following transformation plans are derived: (1) high-quality eco-education programs to help tourists become hard ecotourists; (2) subsidies for foraging area restoration; (3) ecosystem services of wildlife habitats; and (4) governance organization led by multiple actors. The results of this study can provide guidelines for the effective use of natural resources at ecotourism destinations and for the ecotourism development of damaged wildlife habitats.

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.