• Korean Journal of Environment and Ecology
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• v.28 no.6
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• pp.650-656
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• 2014

This study was executed in Woraksan National Park from Febuary, 2008 to December, 2013 in order to study the behavioral characteristics of introduced four female gorals using annual home range, seasonal home range, and elevation use characteristics. Annual home range of reintroduced female gorals were $1.13{\pm}0.32km^2$ of MCP 95%, $0.37{\pm}0.18km^2$ of MCP 95% and $0.07{\pm}0.03km^2$(t=0.607, p>0.05) of FK 50% respectively. In seasonal home range and elevation use characteristics of MCP 95%, autumn($0.73{\pm}0.26km^2$) and summer($0.77{\pm}0.06km^2$) were the largest home range and spring($0.58{\pm}0.38km^2$) and winter($0.47{\pm}0.25km^2$) had a smaller home range and it showed that there was a difference between summer and winter home ranges(F=3.868, P<0.05). As a result of seasonal elevation analysis, elevation use was 435m(28.4%) in spring, 464m(26.7%) in summer, 414m(28.8%) in autumn, and 393m(21.2%) in winter, respectively. It showed that these gorals used higher elevation in summer(F=0.783, P>0.05). We could not analyze the characteristics of introduced gorals, because only introduced female gorals were used for this study. However, we could understand that habitat use characteristics were of statistical significance in introduced gorals from the analyses of their home range, seasonal home range and elevation use.

• Korean Journal of Environment and Ecology
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• v.33 no.1
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• pp.9-15
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• 2019

Artiodactyla, which is an even-toed mammal, widely inhabits worldwide. In recent years, wild Artiodactyla species have attracted public attention due to the rapid increase of crop damage and road-kill caused by wild Artiodactyla such as water deer and wild boar and the decrease of some species such as long-tailed goral and musk deer. In spite of such public attention, however, there have been few studies on Artiodactyla in Korea, and no studies have focused on the trend analysis of Artiodactyla, making it difficult to understand actual problems. Many recent studies on trend used text-mining and co-occurrence analysis to increase objectivity in the classification of research subjects by extracting keywords appearing in literature and quantifying relevance between words. In this study, we analyzed texts from research articles of three countries (Korea, China, and Japan) through text-mining and co-occurrence analysis and compared the research subjects in each country. We extracted 199 words from 665 articles related to Artiodactyla of three countries through text-mining. Three word-clusters were formed as a result of co-occurrence analysis on extracted words. We determined that cluster1 was related to "habitat condition and ecology", cluster2 was related to "disease" and cluster3 was related to "conservation genetics and molecular ecology". The results of comparing the rates of occurrence of each word clusters in each country showed that they were relatively even in China and Japan whereas Korea had a prevailing rate (69%) of cluster2 related to "disease". In the regression analysis on the number of words per year in each cluster, the number of words in both China and Japan increased evenly by year in each cluster while the rate of increase of cluster2 was five times more than the other clusters in Korea. The results indicate that Korean researches on Artiodactyla tended to focus on diseases more than those in China and Japan, and few researchers considered other subjects including habitat characteristics, behavior and molecular ecology. In order to control the damage caused by Artiodactyla and to establish a reasonable policy for the protection of endangered species, it is necessary to accumulate basic ecological data by conducting researches on wild Artiodactyla more.