- Distribution characteristics of invasive alien amphibians and reptiles in Korean
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HeeNam Yoon, YongKi Kim, ManSeok Shin
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GEO DATA. 2022;4(4):20-27. Published online December 31, 2022
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DOI: https://doi.org/10.22761/DJ2022.4.4.003
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- This study analyzed the distribution and habitat status of 1 species of amphibian and 4 species in 1 genus of reptiles among “ecosystem-disturbing species” designated by the Ministry of Environment through the National Habitat Survey of Alien Species (2015-2021). As a result, Rana catesbeiana with 415 sites, Trachemys spp. with 513 sites, Pseudemys concinna with 174 sites, Pseudemys nelsoni with 66 sites, and Mauremys sinensis with 31 sites. Of the total habitat area of R. catesbeiana, the agricultural land area accounted for 46% and the used(urbanized/dry) area accounted for 15%. Of the total habitat area of T. spp, the ratio of agricultural land areas was 35%, and the ratio of used areas was 24%. These species were found to live mainly in reservoir areas with higher natural characteristics than in urbanized and dry areas. However, M. sinensis, which were introduced in early 2000 and have a small number of habitats, mainly inhabited agricultural land areas with high naturalness, with agricultural land areas accounting for 43% and used areas accounting for 29% of the total habitat area. Accordingly, a detailed study on the ecology and artificial release of the M. sinensis is needed.
- Bioclimatic Variables in South Korea under Climate Change SSP Scenario
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Man-Seok Shin, Heenam Yoon
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GEO DATA. 2021;3(4):57-65. Published online December 31, 2021
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DOI: https://doi.org/10.22761/DJ2021.3.4.008
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- In this study, bioclimatic variables in 2100 were created by using 7 Global Climate Models (GCMs) predicted by the Shared Socioeconomic Pathways (SSP) scenario. Using the dismo package of the R program, 19 bioclimatic variables of the year 2100 were generated. The annual mean temperature in 2100 has risen the most compared to the present (2000). Bioclimatic variables can be mainly used in the Species Distribution Model and Ecological Modeling to predict the distribution of species.
- Characteristics of Fish Fauna Data in jin Island, Korea
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Heenam Yoon, Yongsu Kwon, Manseok Shin, Kidong Kim
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GEO DATA. 2019;1(1):58-63. Published online December 30, 2019
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DOI: https://doi.org/10.22761/DJ2019.01.01.009
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- The fish community in the Jin Island (Jindo, Jisan, Munnae, Yulri, 1/25,000 scale) was investigated with the data collected through the 3rd National Ecosystem Survey from April to October in 2012. During the period, 25 species belonging to 7 families were collected. There were 11 biological resources subject to the approval of outbound transfer, including Squalidus gracilis majimae, Abbottina rivularis, Aphyocypris chinensis, Hemiculter eigenmanni, Rhodeus ocellatus, Iksookimia hugowolfeldi, Iksookimia koreensis, Trachidermus fasciatus, Monopterus albus, Macropodus ocellatus and Oryzias latipes. The dominant species was Pseudorasbora parva(26.3%), and the subdominant spaecies was Carassius auratus(16.0%).
Background: In Korea, from 1989 National Ecosystem Survey (NES) was conducted by ministry of environment for every 10 years to cover whole south Korea in 1/25,000 scale. The scope of NES including 8 taxa – vegetation, plant, fish, macro invertebrate, insect, birds, amphibian & reptile, mammal and geomorphology. With the results of ecosystem survey we build up species and ecosystem database based on GIS environment. Ecosystem database is becoming very necessary to understand origins and relationship between human and nature and also to reduce ecosystem disturbance.
New information: An ecological information platform can play important roles as a computing system to collect knowledge, distributed research findings and separated data from researchers. We designed and developed ecological information portal service (EcoBank 1.0) for collecting and providing ecological information for various stake-holders. Then, we developed basic functions to analyze ecosystem for each stake-holders (researchers, general public and policy makers). We successfully designed a computing system named EcoBank supporting the functions of Digital Object Identifier (DOI) publish and data quality management.
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