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Globally, changes in the climate and in land cover are the most prominent factors affecting the distribution of flora and fauna, including butterflies. Therefore, this study was designed to assess the impact of climate and land cover changes on the potential habitat of the endangered butterfly Leptalina unicolor and its principal host, Miscanthus sinensis, in South Korea. We developed a species distribution model using the maximum entropy modeling approach and evaluated the current and future potential distributions of both species. Currently, the potential habitat of L. unicolor is predicted to be located along the Baekdudaegan mountain range and some isolated patches of its western and southern regions, covering an area of approximately 16,865 km2. However, due to future climate change, its potential habitat would decrease on a large scale (by up to 80.39%), thus limiting its existence to the northeastern region. On the other hand, the host plant (M. sinensis) was estimated to live in all parts of the country under both current and future climate conditions, covering up to 50.45% of the country. Our results showed that future climate and land cover changes will critically reduce the habitat of L. unicolor and limit its existence to relatively cold areas. This study suggests that, in addition to the host habitat, climate and land cover changes also play important roles in the future distribution of L. unicolor. This study predicted the current and future potential habitats of L. unicolor and M. sinensis to help develop management policies for the conservation of this endangered butterfly in South Korea. [ABSTRACT FROM AUTHOR]

Simple Summary: The spatial distribution and invasion risk of 10 intentionally introduced alien plant species (IIAPS) in South Korea were predicted from a species distribution model via a maximum entropy modeling approach. According to the model predictions, future environmental changes are likely to enlarge the range of the spatial distribution of all studied IIAPS in South Korea except Medicago sativa. We classified the IIAPS into three categories based on their spatial distribution and potential to spread; this revealed that four species (Coreopsis lanceolate, Eragrostis curvula, Ageratina altissima, and Lolium perenne) have the highest potential for invasion. Moreover, we classified invasion risk into three categories, low, moderate, and high, and estimated the area in each category. We found that, under current conditions, much of the country is at low risk (47.96%) of invasion, but by 2050 >54% of the country's total area will be at high risk of invasion by IIAPS. Serious invasion of IIAPS into cropland, pastures, and forests results in the loss of native biodiversity and damage to the national economy. Therefore, immediate action is required to control and manage IIAPS in South Korea. Predicting the regions at risk of invasion from IIAPS is an integral horizon-scanning activity that plays a crucial role in preventing, controlling, and eradicating invasive species. Here, we quantify the spatial distribution area and invasion risk of IIAPS using a species distribution model under different levels of environmental change in South Korea. From the model predictions, the current average spatial extent of the 10 IIAPS is 33,948 km2, and the individual spatial extents are estimated to change by −7% to 150% by 2050 and by −9% to 156% by 2070. The spatial invasion risk assessment shows that, currently, moderate-to-high invasion risk is limited to coastal areas and densely populated metropolitan cities (e.g., Seoul, Busan, and Gwangju), but that the area with this level of risk is expected to spread toward the central and northern regions of the country in the future, covering 86.21% of the total area of the country by 2070. These results demonstrate that the risk of invasion by IIAPS is estimated to enlarge across the whole country under future environmental changes. The modeling system provided in this study may contribute to the initial control and strategic management of IIAPS to maintain the dynamic ecosystems of South Korea. [ABSTRACT FROM AUTHOR]