• Journal of Korean Society of Forest Science
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• v.111 no.1
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• pp.50-60
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• 2022

In this study, habitat suitability was analyzed for three major honey tree species, namely Kalopanax septemlobus, Tilia amurensis, and Styrax obassis, in the Baekdudaegan Mountains using MaxEnt models. The AUC values indicating the prediction accuracies of the models were 0.747, 0.790, and 0.755 for K. septemlobus, T. amurensis, and S. obassis, respectively. The most important variables for K. septemlobus and T. amurensis were elevation, mean annual temperature, and slope, whereas mean annual temperature, elevation, and mean annual precipitation were the most important predictors for S. obassis. For all three studied species, elevation and mean annual temperature were the most important topographic and climatic factors, respectively, indicating that such variables are crucial for explaining species distribution. Honey tree species are essential resources in forest beekeeping, a high value-added process for improving forest income, and this study identified sites with the potential for management of such species in the Baekdudaegan Mountains, where it may be possible to establish a honey forest. However, the accuracy of the models should be improved through comprehensive analysis with abiotic variables, such as soil properties and aridity, which affect the distribution of honey tree species, as well as biotic variables, such as interspecific competition.

• Journal of Animal Science and Technology
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• v.53 no.1
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• pp.59-66
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• 2011

For the improvement of productivity of beekeepers and to develop new management strategy through the analysis of current honeybee-keeping management types and evaluation of related skills and basis in Korea were surveyed. The serial surveys were carried out in 2008 for a total of 253 beekeepers from different localities in Korea. The results revealed that 145.9 colonies of honeybee were managed by each beekeeper in Korea. The beekeepers group who were younger than 55 years possessed 191.7 colonies. The older age group of beekeepers kept rather smaller number of colonies. The career groups over 15 years in apiculture were keeping 176.0 colonies in average. The numbers of bee colonies were not significantly different among localities and educational backgrounds. The migratory apiaries with 145.9 hives were dominant than those fixed ones with 83.0 (p<0.01). It was observed that 57.8% of apiaries were located in the vicinity of farmer's house, whereas 30.3% were managed in mountain area; however older group (65.4%) preferred to keep it near their houses (p<0.05). The proportion (35.7%) of part-time fixed apiary was the highest among four apiary management types. The younger group and high career group operated full-time migratory apiary (38.8% and 40.3%) (p<0.05), respectively. However, the older group and low career group preferred as part-time fixed one (43.2% and 46.6%), respectively (p<0.001). There was no significant difference among localities. The surveyed beekeepers produced propolis, commercial colonies, pollen, royal jelly, and pollination hives in addition to honey. The group of less than 15 years career and mountain apiary mainly produced propolis and pollen. However, those who dwell in small and middle areas mainly produced propolis and commercial colonies. The levels related to beekeeping skills and basis were evaluated as intermediate from 3.11 and 2.86 points on 5 points scale, respectively. More careered group having skill level of 3.33 point and basis level of 3.02 showed higher levels than less careered one. The levels of skill and basis evaluated from age groups and localities were similar with each other with no significance.

• Journal of Sericultural and Entomological Science
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• v.52 no.2
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• pp.134-141
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• 2014

This study was examined the pollinating activity and the economical effect according to numbers released of Apis mellifera in the $825m^2$ strawberry (Seolhyang var.) vinyl-houses. The time-zone of pollinating activity relative to numbers of honeycomb released at the strawberry (Seolhyang var.) vinyl-houses was together from 9A.M. to 4P.M., and the peak time of pollinating activity was 11A.M.. The effects on pollinating activity relative to the honeycomb numbers in the honeybee hive released at the strawberry houses were ordered 5 honeycombs (11,000 heads), 4 honeycombs (8,800 heads) and 3 honeycombs (6,600 heads). The rate of workers lost in A. mellifera hives with 5 honeybee combs and 4 honeycombs during the strawberry cultivating period were lower than that of 3 honeycombs. The rates of fruit set by pollinating activity relative to the honeycomb numbers in the honeybee hive released at the strawberry vinyl-houses were same level with over 98%. The fruit qualities; No. of seeds, sugar content and rate of normal fruit set were same level, but fruit weights were ordered 5 honeycombs in 37.2 g, 4 honeycombs in 35.6 g and 3 honeycombs in 32.6 g. The marketing incomes of 4 honeycombs and 5 honeycombs were 9% to 13% higher than that of 3 honeycombs, respectively. Therefore, when the strawberry (Seolhyang var.) was planted at $825m^2$ of a vinyl-houses, it was surveyed that the most suitable numbers of honeycomb were over 4 honeycombs (8,800 heads).

• Journal of Korean Society of Forest Science
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• v.110 no.3
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• pp.322-340
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• 2021

Due to climate change and its consequential spring temperature rise, flowering time of Robinia pseudoacacia has advanced and a simultaneous blooming phenomenon occurred in different regions in South Korea. These changes in flowering time became a major crisis in the domestic beekeeping industry and the demand for accurate prediction of flowering time for R. pseudoacacia is increasing. In this study, we developed and compared performance of four different models predicting flowering time of R. pseudoacacia for the entire country: a Single Model for the country (SM), Modified Single Model (MSM) using correction factors derived from SM, Group Model (GM) estimating parameters for each region, and Local Model (LM) estimating parameters for each site. To achieve this goal, the bloom date data observed at 26 points across the country for the past 12 years (2006-2017) and daily temperature data were used. As a result, bloom dates for the north central region, where spring temperature increase was more than two-fold higher than southern regions, have advanced and the differences compared with the southwest region decreased by 0.7098 days per year (p-value=0.0417). Model comparisons showed MSM and LM performed better than the other models, as shown by 24% and 15% lower RMSE than SM, respectively. Furthermore, validation with 16 additional sites for 4 years revealed co-krigging of LM showed better performance than expansion of MSM for the entire nation (RMSE: p-value=0.0118, Bias: p-value=0.0471). This study improved predictions of bloom dates for R. pseudoacacia and proposed methods for reliable expansion to the entire nation.