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Original Paper
- Evaluating the Longitudinal Connectivity of Dorim Stream in Seoul based on Artificial Constructure and Fish Data
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Jeong Ho Hwang, Myeong-Hun Ko, Sungmin Jung, Jong-Hak Yun
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GEO DATA. 2023;5(4):286-297. Published online December 27, 2023
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DOI: https://doi.org/10.22761/GD.2023.0040
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Abstract
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- The vertical connectivity of the river aquatic ecosystem was evaluated based on fish and artificial structures in Dorim stream, an urban stream in Seoul. As a result of a survey in the downstream area in 100.0 m of a total of 71 artificial structures, 13,728 individuals of fishes belonging to five orders, seven families, and 25 species were investigated, with the dominant species Zacco platypus and the subdominant species Rhynchocypris oxycephalus. As for endemic species, seven species were investigated and in terms of feeding characteristics, omnivorous species were the most common with 17 species (68%). Also an alien species, Poecilia reticulata was found. Fish species tended to decrease as the survey was conducted to upstream. Based on the movement characteristics of the fish species and the features of artificial structure survey results, the longitudinal continuity of each artificial structure was evaluated as 43 continuity, two damaged, 19 discontinuity, and seven absent. In inclined structures, stream velocity was found to be the main factor for discontinuity. In vertical structures, the down depth and head drop appeared to be the main factors for discontinuity. The results of this survey are expected to serve as basic data for the conservation of river aquatic ecosystems in the future.
Articles
- Distribution Data of Freshwater Fish in Korea Islands
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Hee nam Yoon, Man-Seok Shin
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GEO DATA. 2021;3(4):49-56. Published online December 31, 2021
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DOI: https://doi.org/10.22761/DJ2021.3.4.007
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Abstract
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- This study analyzed the status of distribution of freshwater fish species in 73 islands of South Korea, using the third National Ecosystem Survey data. As a result of the survey, 62,265 individuals of 11 orders, 24 families, and 79 species, including 16 endemic species of the Korean Peninsula, three invasive alien species, and one endangered species, were identified. The dominant species were Carassius auratus and Oryzias latips, accounting for 14.1% and 13.2% of the total abundance, respectively.
- 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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Abstract
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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.