###### Abstract  
According to the climate change scenario, climate change in the Korean Peninsula is expected to worsen due to extreme temperatures, with effects such as rising average temperatures, heat waves, and droughs. In Republic of Korea, which relies on foreign countries for the supply of forage crops, a decrease in the productivity of forage crops is expected to cause increased damage to the domestic livestock industry. In this paper, to solve the issue of climate vulnerability for forage crops, we performed a study to predict the productivity of forage crops in relation to climate change. We surveyed and compiled not only forage crop production data from various regions, but also experimental cultivation production data over several years from reports of the Korea Institute of Animal Science and Technology. Then, we crawled related climate data from the Korea Meteorological Administration. Therefore, we were able to construct a basic database for forage crop production data and related climate data. Using the database, a production prediction model was implemented, applying a multivariate regression analysis and deep learning regression. The key factors were determined as a result of analyzing the changes in forage crop production due to climate change. Using the prediction model, it could be possible to forecast the shifting locations of suitable cultivation areas. As a result of our study, we were able to construct electromagnetic climate maps for forage crops in Republic of Korea. It can be used to present region-specific agricultural insights and guidelines for cultivation technology for forage crops against climate change. Keywords:forage crop productivity; climate vulnerability; predictive model; suitable cultivation area; electromagnetic climate map +
Footnote †: journal: Medical  
However, due to recent climate change, overall production and the movement of cultivation areas are changing. According to the climate change scenario Representative Concentration Pathway (RCP) 8.5, the Korean Peninsula is expected to experience increased climate change impacts, including higher average temperatures, heat waves, and droughs [3; 4]. Figure 1 shows changes in temperature and precipitation in the Korean Peninsula according to the RCP scenario [4]. These abnormal temperatures are anticipated to significantly affect the agricultural sector, including forage crops [5]. Consequently, the incidence of weather-related disasters and damage due to abnormal weather is on the rise. If the average temperature increases by more than 3 \({}^{\circ}\)C due to climate change, crop yields will decrease in all regions of the world [6]. In particular, the production of coarse forage is expected to decrease by more than 25%. Given the limited production and cultivation area for coarse forage in Korea, the global decrease in feed supply will serve as a significant factor placing a burden on livestock farmers [7]. In Republic of Korea, a country that depends on foreign sources for its supply of forage crops, the projected decline in forage crop productivity is expected to exacerbate the impact of climate change on the domestic livestock industry [8]. Due to climate change, the temperature in Republic of Korea has risen by 1.5 \({}^{\circ}\)C, much higher than the global average rise over the past 100 years, changing the suitable  
Figure 1: Climate change on the Korean Peninsula (RCP 8.5). cultivation limit for crops [9; 10; 11; 12]. This means that the cultivation area for grasses and forage crops is moving north from the southern region to the central region due to rising temperatures. Some surveys are underway to assess changes in the suitable cultivation limits, yields, and cultivation environments. It is necessary to evaluate the vulnerability to climate change [13; 14]. Due to the ongoing climate warming, summer crops have been negatively affected due to high temperatures, while winter crops have been reported to increase productivity per area due to the increasing temperature during the wintering and growing stages [7].