Background Organism body size is a basic characteristic in ecology; it is related to temperature according to temperature-size rule. Butterflies are affected in various aspects by climate change because they are sensitive to temperature. Therefore, this study was conducted to understand the effect of an increase in temperature due to global warming on the wing of butterflies. Results A total of 671 butterflies belonging to 9 species were collected from 1990 to 2016 in Seoul (336 specimens) and Mokpo (335 specimens). Consequently, as the mean temperature increased, the wing length of the species increased. However, there are exceptions that the Parnassius stubbendorfii, Pieridae canidia, and Pieris rapae wing length of Seoul increased, but the butterfly wing length of Mokpo decreased. Conclusions The positive correlations between the butterfly wing length and mean temperature showed that the change of mean temperature for about 26 years affects the wing length of butterfly species. The exception is deemed to have been influenced by the limited research environment, and further studies are needed. We would expect that it can be provided as basic data for studying effect of climate change.

Background and objectives Mung bean is a nutritious legume rich in proteins, vitamins, and minerals but low in lipid and diverse health‐promoting effects of that were known. This study prepared tofu with mung bean and soybean to incorporate the health‐promoting effect of mung bean into tofu and to extend diversity of food products of mung bean. Findings Flavonoid content and DPPH radical scavenging activity of tofus prepared with mung bean and soybean increased significantly with the addition of mung bean. Meanwhile, total phenolic content and ABTS radical scavenging activity were not significantly different among tofus, and reducing power was higher in tofu made with only mung bean than the other tofus. α‐Glucosidase inhibitory activity was the highest in the tofu with only soybean and decreased with the dosage of mung bean. Tofus with mung bean was more effect to improve cell viability and to reduce nitric oxide production ratio than that with only soybean. Conclusions The health‐promoting effects examined in this study were enhanced or similar in tofus with mung bean compared to that with soybean except α‐glucosidase inhibitory activity. This result implies that mung bean could be a good source for healthy food and useful ingredient to enhance the effect of diverse food products including tofu. Significance and novelty The health‐promoting effect of tofu with mung bean was rarely reported. The result of this study is obvious proof of the health benefit of mung bean resulting the promotion of mung bean consumption.

We executed this research to understand the importance of decaying woods as the diverse arthropods' habitat in Abies koreana forests of Mt. Hallasan, Korea, from 2013 April to 2014 July. We discriminated the Abies koreana forests into one live stage and three decay stages in three blocks (Sungpanak, Yeongsil, Donnaeko) with three replicates and collected arthropods using an emergence trap per tree. We also used the different slope, altitude, decay stage and characteristics of dead wood as statistical variables. As A result, a total of six classes 23 orders 99 families 224 species (69,674 individuals) were collected from 282 emergence traps. We found that there were significant differences in abundance among decay stages and study sites. Our research results would be relevant for developing the ecologically sustainable forest management strategies and we expect these results would be used as the basic data for the forest management plans of Abies koreana.

Background The purpose of this study, mosquito forecast system implemented by Seoul Metropolitan city, was to obtain the mosquito prediction formula by using the mosquito population data and the environmental data of the past. Results For this study, the mosquito population data from April 1, 2015, to October 31, 2017, were collected. The mosquito population data were collected from the 50 smart mosquito traps (DMSs), two of which were installed in each district (Korean, gu) in Seoul Metropolitan city since 2015. Environmental factors were collected from the Automatic Weather System (AWS) by the Korea Meteorological Administration. The data of the nearest AWS devices from each DMS were used for the prediction formula analysis. We found out that the environmental factors affecting the mosquito population in Seoul Metropolitan city were the mean temperature and rainfall. We predicted the following equations by the generalized linear model analysis: ln(Mosquito population) = 2.519 + 0.08 × mean temperature + 0.001 × rainfall. Conclusions We expect that the mosquito forecast system would be used for predicting the mosquito population and to prevent the spread of disease through mosquitoes.

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