Alpine landscapes are projected to be degraded under climate change, which would threaten their benefits to society. Previous studies, however, have been limited to aesthetic change, and it remains unclear how much the aesthetic change would affect human welfare. To address this issue and gain insights into climate change adaptation policies, we conducted a choice experiment survey using digitally manipulated images based on climate change scenarios and natural scientific knowledge in a mountainous national park in Japan. We uncovered that park visitors appreciate the alpine landscapes that include snow patches on mountains and some types of alpine flowers by analyzing the data from 445 respondents. Conversely, both the invasion of alpine vegetation by dwarf bamboo and the disappearance of snow patches due to climate change substantially deteriorated the perceived aesthetic benefits from alpine landscapes. The economic loss caused by climate-induced landscape degradation was estimated at more than 100 USD per visitor, at maximum; the disappearance of snow patches and invasion by dwarf bamboo reduced the benefits by approximately 13 USD and 101 USD, respectively. Our findings suggest that sustaining the aesthetic value of alpine landscapes in national parks via climate change adaptation has potentially significant economic benefits. By supposing that the mountain national park attracts 70,000 visitors in summer, climate change would cause as a minimum of eight million USD economic loss at the park without appropriate measures annually. Our findings highlight the importance of climate change measures by considering climate change impacts on social benefits associated with alpine landscapes.

Integrating the benefits associated with biodiversity into market mechanisms can play an important role in conservation practice. Food labeling is a widely used measure that highlights biodiversity conservation benefits to the market. However, few studies have explored the effects of labels on staple agricultural products that are associated with agro‐ecosystem conservation. We evaluated the biodiversity price premium of wildlife‐friendly rice by analyzing data from retail stores in Japan. The results showed a significant positive impact of biodiversity‐relevant labels on rice prices. Specifically, rice with this type of labeling had about 20% price premium as compared with rice that did not. The results also showed that outcome‐based certifications have the potential to work well in the market. The findings highlight the role of conservation marketing in agro‐ecosystem conservation and its potential to help balance biodiversity conservation and food security.

Visitor information often serves as the basis for the management plan of parks. However, there exist few scientific and fundamental surveys for parks and open spaces in Japan. We analyzed the correlation between the number of visitors and the various factors in a suburban open space in a northern Japanese city, Takino Park. To explain the fluctuations in the number of visitors in Takino Park, multiple regression analyses with the stepwise method were conducted. The analyses employed social factors and meteorological factors, such as the day of the week, school vacations, temperature and the weather. The results show that the most influential factor is the day of the week, i.e., Sundays and holidays. The weather is also influential as the number of visitors decreases on rainy and snowy days. Comparing different seasons of the year, we found that influential factors varied from one season to the other. A key distinguishing finding of our results is that the weather conditions at the departure site and the weather forecast are also determining factors. These findings will help park managers understand the current situations and examine future management strategies to maintain and enhance visitor satisfaction, and improve information services.

This study investigates off-season tours by examining people's heterogeneous preferences for nature-based tours in sub-frigid climate zones. To explore heterogeneous preferences for winter nature-based tours in Shiretoko, Japan, the authors conducted a discrete choice experiment with a latent class model. Even though the visitors' preferences were different, it was possible to segment them into three groups based on the results. The first segment clearly preferred a wildlife observation tour and considered the possibility of finding rare eagles and detailed interpretation highly important. At the other extreme, the second segment preferred an adventure-based drift ice tour and were not interested in eagles or detailed interpretation. The final segment comprised those visitors whose preferences were between these two extremes. The findings show that, for satisfactory and profitable tours, tourist agents should provide specific recreation experiences to cater to these heterogeneous preferences rather than experiences thought to be acceptable to all visitors.