Browse > Article
http://dx.doi.org/10.11614/KSL.2018.51.3.212

Development and Applications of Ecological Data Portal Service (EcoBank) for Sharing Ecological Information of Korea  

Sung, Sunyong (Division of Ecological Assessment, National Institute of Ecology)
Kwon, Yong Su (Division of Ecological Assessment, National Institute of Ecology)
Kim, Ki Dong (Division of Ecological Assessment, National Institute of Ecology)
Publication Information
Korean Journal of Ecology and Environment / v.51, no.3, 2018 , pp. 212-220 More about this Journal
Abstract
Ecological and ecosystem database is becoming very necessary to understand origins and relationship between human and nature and also to minimize disturbance caused by human activities. An ecological information portal can play important roles as a computing system to collect knowledge, distributed research findings and separated data from researchers. In this study, we designed and developed ecological information portal service (EcoBank 1.0) for collecting and providing ecological information for diverse classes of stakeholders. To reach the goal, we had reviewed related and comparable ecological database portals to design conceptual structure of EcoBank system including database management framework. Then, we developed some functions of ecosystem analysis for each stake-holders (researchers, general public and policy makers). As a result of this study, we successfully designed of EcoBank system covering the functions of Digital Object Identifier(DOI) publishing and data quality management process. Also, we (1) applied ecological indices for calculating biodiversity by administrative boundary for policy makers, (2) provided statistical information of econature map for general public and distribution characteristics of species for researchers. To make a successful establishment of EcoBank, we have to collect and build up related database and offer various and reliable ecological data consistently. We expect that the successful construction of EcoBank will help not only to accomplish sustainable development goals but also to raise the welfare of ecosystem in Korea.
Keywords
ecological information; ecosystem database; ecological information portal service; DOI publishing; data quality management;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
1 Korean Bioinformation Center (KOBIC). 2018. Available at: https://www.kobic.re.kr/ (Accessed 5 Mar. 2018).
2 Margalef, R. 1958. Information theory in ecology. International Journal of General Systems 3: 36-71.
3 McNaughton, S.J. 1967. Relationship among functional properties of California glassland. Nature 216: 168-144.
4 National Institute of Biological Resources (NIBR). 2018. Available at: https://www.nibr.go.kr/eng/main/main.jsp (Accessed 5 Mar. 2018).
5 Pielou, E.C. 1969. An Introduction to Mathematical Ecology. Wiley, New York.
6 Pielou, E.C. 1975. Ecological Diversity. Wiley, New York.
7 Song, J.H., I.J. Kang, S.H. Hong and D.H. Park. 2014. Construction of vegetation information management system using GIS. Journal of the Korean Society for Geospatial Information System 22(4): 99-106.   DOI
8 Balvanera, P., A.B. Pfisterer, N. Buchmann, J. He, T. Nakashizuka, D. Raffaelli and B. Schmid. 2006. Quantifying the evidence for biodiversity effects on ecosystem functioning and services. Ecology Letters 9: 1146-1156.   DOI
9 Youn, J., C. Kim and H. Moon. 2017. The establishment for technology development plan for national spatial information infrastructure cloud service. Journal of the Korean Academia-Industrial Cooperation Society 18(3): 469-477.
10 Youn, J.H. 2014. The establishment of BPR for national spatial data infrastructure quality management system. Journal of Korean Society for Geospatial Information System 22(4): 81-89.   DOI
11 Biodiversity and Ecosystem Services Network (BES-NET). 2018. Available at: http://www.besnet.world/ (Accessed 3 Mar. 2018).
12 Center for Ecology and Hydrology (CEH). 2018. Available at: https://www.ceh.ac.uk/ (Accessed 4 Mar. 2018).
13 Chavan, V. and L. Penev. 2011. The data paper: a mechanism to incentivize data publishing in biodiversity science. BMC Bioinformatics 12(Suppl 15): S2.
14 Chavan, V.S. and P. Ingwersen. 2009. Towards a data publishing framework for primary biodiversity data: challenges and potentials for the biodiversity informatics community. BMC Bioinformatics 10(Suppl 14): S2.
15 Choi, B.G. and S.S. Kim. 2002. Natural eco-information management system using GIS in Kang-Wha. Journal of Korean Society for Geospatial Information System 10(3): 123-130.
16 Convention on Biological Diversity Clearing-House Mechanism (CBD-CHM Korea). 2018. Available at: http://www.cbdchm.go.kr/eng/main/main.do (Accessed 6 Mar. 2018).
17 Geijzendorffer, I.R., E.C. Regan, H.M. Pereira, L. Brotons, N. Brummitt, Y. Gavish, P. Haase, C.S. Martin, J. Mihoub, C. Secades, D.S. Schmeller, S. Stoll, F.T. Wetzel, M. Walters and M. Cadotte. 2016. Bridging the gap between biodiversity data and policy reporting needs: An Essential Biodiversity Variables perspective. Journal of Applied Ecology 53: 1341-1350.   DOI
18 Data Observation Network for Earth (DataONE). 2018. Available at: https://www.dataone.org/ (Accessed 4 Mar. 2018).
19 Ecosea. 2018. Available at: http://www.ecosea.go.kr/ (Accessed 5 Mar. 2018).
20 Geijzendorffer, I.R. and P.K. Roche. 2013. Can biodiversity monitoring schemes provide indicators for ecosystem services?. Ecological Indicators 33: 148-157.   DOI
21 Global Biodiversity Information Facility (GBIF). 2018. Available at: https://www.gbif.org/ (Accessed 3 Mar. 2018).
22 Groom, Q., L. Weatherdon and I.R. Geijzendorffer. 2017. Is citizen science an open science in the case of biodiversity observations?. Journal of Applied Ecology 54(2): 612-617.   DOI
23 Hampton, S.E., C.A. Strasser, J.J. Tewksbury, W.K. Gram, A.E. Budden, A.L. Batcheller, C.S. Duke and J.H. Porter. 2013. Big data and the future of ecology. Frontiers in Ecology and the Environment 11: 156-162.   DOI
24 Integrated Biodiversity Assessment Tool (IBAT). 2018. Available at: https://www.ibatforbusiness.org/ (Accessed 3 Mar. 2018).
25 Kim, H.Y., H.S. Ji, H.S. Lee and J.D. Ji. 2014. Big data point according to the study on the Efficiency methods of cadastral spatial information. Journal of the Korean Cadastral Information Association 16(1): 29-48.