Browse > Article

Analysis of the Ecological Impact of Climate Change using ABMS: A Case Study of Polar Bears and Glacier  

Cho, Sung-Jin (Graduate school of Kyung Hee University)
Na, Yu-Gyung (Department of Geography, Kyung Hee University)
Lee, Joon-Young (Department of Geography, Kyung Hee University)
Joh, Chang-Hyeon (Department of Geography, Kyung Hee University)
Publication Information
Journal of the Korean Geographical Society / v.46, no.3, 2011 , pp. 291-303 More about this Journal
Abstract
It has actively advanced to study the impact of climate change on ecosystem. This study addresses ABMS (Agent Based Modeling and Simulation) as a methodology of ecosystem research. ABMS would suggest the possibility of practical use in this sector. This study would investigate how the melting speed of glacier in the arctic influences the extinction period of polar bears. The Polar Bears and Glacier Model in this study is expected to contribute to accurate prediction of the polar bear's extinction period. The suggested ABMS could also be applied to the study of various factors of ecosystem in general.
Keywords
Climate change; ecological impact; mathematical model; ABMS; agent; polar bear; glacier;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
1 A. S. Fischbach, S. C., Amstrup, D. C. Douglas, 2007, Landward and eastward shift of Alaskan polar bear denning associated with recent sea ice changes, Polar Biology, Volume: 30, Issue 11, 1395-1405.   DOI   ScienceOn
2 Ashleigh E. Crompton, Martyn E. Obbard, Stephen D. Petersen, Paul J. Wilson, 2008, Population genetic structure in polar bears (Ursus maritimus) from Hudson Bay, Canada:, Biological Conservation, Volume 141, Issue 10, 2528-2539.   DOI   ScienceOn
3 Allison L. Perry, Paula J. Low, Jim R. Ellis, John D. Reynolds, 2005, Climate Change and Distribution Shifts in Marine Fishes, Science New Series, 308(5730), 1912-1915.
4 Berger, T.,2001, Agent-Based Spatial Models Applied to Agriculture: A Simulation Tool for Technology Diffusion, Resource Use Changes and Policy Analysis, Agricultural Economics, 25, 245-260.   DOI   ScienceOn
5 Charles M. Macal, Michael J. North, 2006, Tutorial on Agent-Based Modeling and Simulation Part 2: How to Model with Agents, Proceedings of the 2006.
6 Charles M. Macal, Michael J. North, 2009, Agent-Based Modeling and Simulation: desktop ABMS, Proceedings of the 2007 Winter Simulation Conference.
7 Peter Lemke, Jiawen Ren, 2007, Observations: Changes in Snow, Ice and Frozen Ground, Climate Change 2007: The Physical Science Basis.
8 Lee, S. H., Heo, I. H., Lee, K. M., Kim, S. Y., Lee, Y. S., Kwon, W.-T., 2008, Impacts of Climate Change on Phenology and Growth of Crops: In the Case of Naju, Journal of the Korean Geographical Society, 43(1), 20-35 (in Korean).
9 Min, B. W., 2006, Order out of Uncertainties: The Complex Systems Theory and International Relations, Journal of The Korean Political Science Association, 40(1), 201-221 (in Korean).
10 Oystein Wiig, Jon Aars, Erik W. Born, 2008, Effects of climate change on polar bears, 2008 Science Progress, 91(2), 151-173.
11 Thomas G. Smith, 1980, Polar bear predation of ringed and bearded seals in the land-fast sea ice habitat, Canadian Journal of Zoology, 58: 2201-2209.   DOI
12 Torrens, P. M., 2006, Urban simulation at the microlevel, Autodesk, Inc.
13 Michael Woodridge, 2002, An Introduction to MultiAgent System, John Wiley & Sons. LTD.
14 Richard T. T. Forman, Lauren E. Alexander, 1998, Roads and Their Major Ecological Effects, Annual Review of Ecology and Systematics, 29, 207-231   DOI   ScienceOn
15 R. W. Macdonald, T. Harner, J. Fyfe, 2005, Recent climate change in the Arctic and its impact on contaminant pathways and interpretation of temporal trend data, Science of The Total Environment, Volume 342, Issues 1-3, 5-86.   DOI
16 Wada, M., Ashuma, k., Kaminuma, K., Yatanabe, G., Azo, D., 2009, The Question of the Antarctic and the Arctic, Purungil (in Korean).
17 Thomas Stocker, Qin Dahe, Gian-Kasper Plattner, Melinda Tignor, Simon Allen, Pauline Midgley, 2010, IPCC Workshop on Sea Level Rise and Ice Sheet Instabilities Kuala Lumpur, Malaysia Workshop Report.
18 Torrens, P. M. and Alberti, M, 2000, "Measuring sprawl", CASA Working Paper 27, University College London, Centre for Advanced Spatial Analysis.
19 Torrens, P. M., 2006, Simulating sprawl, Annals of the Association of American Geographers, 96(2): 248-275.   DOI   ScienceOn
20 Thomas Stocker, Qin Dahe, Gian-Kasper Plattner, Melinda Tignor, Pauline Midgley, 2010, IPCC Expert Meeting on Assessing and Combining Multi Model Climate Projections National Center for Atmospheric Research Boulder, Colorado, USA.
21 Kim, K. Y., 2002, Historical Reflections on the Social and Culture Background of Ecology, The Korean History of Science Society, 24(1) (in Korean).
22 Fowler, C., W. J. Emery, J. Maslanik, 2004, Satellitederived evolution of Arctic sea ice age: October 1978 to March 2003, IEEE Geosci, Remote Sensing Letters, 1(2), 71-74.   DOI   ScienceOn
23 Hong, J. H., Kang, J. B., Choi, J. M., 2006, Efficient Reinforcement Learning System in Multi-Agent Environment, The Korean Institute of Information Scientists and Engineers: Journal of the great autumn Conference, 33(2-B).1-603 (in Korean).
24 Kim, J.-S., Han, B.-H., Kwak, J.-I., 2010, Relationship between the Distribution of Wildbirds and Temperature for Six Years ?A Case Study of Worldcup Park in Seoul, Korea-, Korean journal of environment and ecology, 24(3), 227-234 (in Korean).
25 Kong, W.-S., Lee, S. G., Park, H. N., 2009, Species distribution which vulnerable to climate change and temperature, Journal of the Korean Geographical Society, 15-16 (in Korean).
26 Maslanik J. A., C. Fowler, J. Stroeve, S. Drobot, J. Zwally, D. Yi, W. Emery, 2007, A younger, thinner Arctic ice cover: Increased potential for rapid, extensive sea-ice loss, Geophysical Research Letters, 34, L24501   DOI
27 Marco Janssen, Bert de Vries, 1988, The battle of perspectives: a multi-agent model with adaptive responses to climate change, Ecological Economics, Volume 26, Issue 1, 43-65.