Browse > Article
http://dx.doi.org/10.11108/kagis.2018.21.3.001

Analysis of Climate Change Sensitivity of Forest Ecosystem using MODIS Imagery and Climate Information  

SONG, Bong-Geun (Disaster Scientific Investigation Division, National Disaster of Management Institute)
PARK, Kyung-Hun (Dept. of Environmental Engineering, Changwon National University)
Publication Information
Journal of the Korean Association of Geographic Information Studies / v.21, no.3, 2018 , pp. 1-18 More about this Journal
Abstract
The purpose of this study is to analyze sensitivity of forest ecosystem to climate change using spatial analysis methods focused on 6 national parks. To analyze, we constructed MODIS NDVI and temperature of Korea Meteorologic Administration based on 1km spatial resolution and 16 days. And we conducted time-series and correlation analysis using MODIS NDVI and temperature. A most sensitive region to climate change is Jirisa National Park(r=0.434) and Seoraksan National Park(r=0.415), there is the highest mean correlation coefficient. The sensitivity of forest ecosystem varied according to habitat characteristics and forest types in national park. In Abies koreana of Hallsan Nation Park, temperature has raised, but NDVI has decreased. these results will be based data of climate change adaption policy for protecting forest ecosystem.
Keywords
Climate Change; Forest Ecosystem; MODIS; Time-Series Analysis; GIS; Remote Sensing;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
1 Heumann, B.W., J.W. Seaquist, L. Eklundh and P. Jonsson. 2007. AVHRR derived phenological change in the Sahel, Sudan, Africa, 1982-2005. Remote Sensing Environment 108:385-392.   DOI
2 Huete, A.R., C. Justice, W.V. Leeuwen. 1999. MODIS Vegetation Index (MOD13) Algorithm Theoretical Basis Document Version 3.
3 Hong, S.Y., J. Hur, J.B. Ahn, J.M. Lee, B.K. Min, C.K. Lee, Y. Kim, K.D. Lee and S.H. Kim. 2012. Estimating rice yield using MODIS NDVI and meteorogical data in Korea. Korean Journal of Remote Sensing 28(5):509-520.   DOI
4 IPCC(Intergovernmental Panel of Climate Change). 2014. Climate Change 2014: Impacts, Adaptation, and Vulnerability: Summary for Policymakers. pp. 27-30.
5 Kang, S.H. 2003. A study on the flood damage assessment by Typhoon RUSA in the East Coast of Kangwon Prefecture following the 2000 large scale fire disaster focused on the watershed of oship river, Samecheok City. FIRE SCIENCE AND ENGINEERING 17(4):70-75.
6 Kim, H, J. Hong, S.C. Kim, S.H. Oh and J. Kim. 2011. Plant phenology of threatened species for climate change in sub-alpin zone of Korea. Korean Journal of Plant Resources 24(5):549- 556.   DOI
7 Kim, N.S. 2012. Detection of vegetation dieback area in the subalpine zone of Mt. Baekdu using MODIS time series data. Journal of the Korean Geographical Society 47(6):825-835.
8 Kong, W., S. Lee, H. Park and J.A. Yu. 2012. Ecosystem vulnerability assessment of local government due to climate change. Journal of Climate Change Research 3(1):51-69.
9 Korea Environmental Institute. 2014. Measures for strengthening the ecosystem environment security in responding to climate change-focused on the examination and prospect of vulnerable ecosystem in terms of climate change-. Report of Korea Environmental Institute. pp. 2.
10 Korea Meteorological Administration(KMA). 2011. Report about prospect of climate change over Peninsula. Report of Korea Meteorological Administration.
11 Kwon, C.G., S.Y. Lee and H.P. Lee. 2012. Analysis of forest fire occurrences and damage in Samcheok. Proceedings on Korean Institute of Fire Science & Engineering. 444-447.
12 Lee, M.B., N.S. Kim, H.S. Choe and K.H. Shin. 2003. An analysis on spatio-temporal changes of land cover focusing on NDVI using GIS and RS in Pyeongbuk Province, Northwest Korea. Journal of the Korean Geopgraphical Society 38(5):835-848.
13 Liu, J., G. Kattel, H.P.H. Arp and H. Yang. 2015. Towards threshold-based management of freshwater ecosystems in the context of climate change. Ecological Modelling 318:265-274.   DOI
14 Macfadyen S., G. McDonald and M.P. Hill. 2018. From species distribution to climate change adaptation: Knowledge gaps in managing invertebrate pests in broad-acre grain crops. Agriculture, Ecosystems and Environment 253:208-219.   DOI
15 Park, C.Y., Y.E. Choi, Y.A. Kwon, J.I. Kwon and H.S. Lee. 2013. Studies on changes and future projections of subtropical climate zones and extreme temperature events over South Korea using high resolution climate change scenario based on PRIDE model. Journal of The Korean Association of Regional Geographers 19(4):600-614.
16 Sapta, S., B. Sulistyantara, I.S. Fatimah and A. Faqih. 2015. Geospatial approach for ecosystem change study of Lombok Island under the influence of climate change. Procedia Environmental Sciences 24:165-173.   DOI
17 Park, J.S. and K.T. Kim. 2009. Evaluation of MODIS NDVI for drought monitoring focused on comparison of drought index. The Journal of GIS Association of Korea 17(1):117-129.
18 Park, S.Y. 2013. Satellite-Measured vegetation phenology and atmospheric aerosol time series in the Korean peninsula. Journal of the Korean Geographical Society 48(4):497-508.
19 Potter, C., S. Klooster, A. Huete and V. Genovese. 2007. Terrestrial carbon sinks for the United States predicted from MODIS satellite data and ecosystem modeling. Earth Interactions 11.
20 Safaei, M., M. Tarkesh, H. Bashari and M. Bassiri. 2018. Modeling potential habitat of Astragalus verus Olivier for conservation decisions: A comparison of three correlative models. Flora 242:61-69.   DOI
21 Tony, P. 2008. Conceptual framework for assessment and management of ecosystem impacts of climate change. Ecological complexity 5:329-338.   DOI
22 Wakelin, S.L., Y. Artioli, M. Butenschon, J.I. Allen and J.T. Holt. 2015. Modelling the combined impact of climate change and direct anthropogenic drivers on the ecosystem of the northwest European continental shelf. Journal, of Marine Systems 152:51.63.   DOI
23 Yue, T.X., Z.M. Fan and C.F. Chen. 2011. Surface modelling of global terrestral ecosystems under three climate change scenarios. Ecological modelling 222: 2342-2361.   DOI
24 Fan, Z.M., and J. Li, T.X. Yue. 2012. Changes of climate-vegetation ecosystem in loess plateau of China. Procedia Environmental Sciences 13:715 -720.   DOI
25 Bragin, N., S. Amgalanbaatar, G. Wingard, and R.P. Reaing. 2017. Creating a model of habitat suitability using vegetation and ruggedness for Ovis ammon and Capra sibirica (Artiodactyla: Bovidae) in Mongolia. Journal of Asia-Pacific Biodiversity 10:390-395.   DOI
26 Clark, D.B., P.C. Olivas, S.F. Oberbauer, D.A. Clark and M.G. Ryan. 2008. First direct landscape-scale measurement of tropical rain forest Leaf Area Index, a key driver of global primary productivity. Ecology Letters 11:163-172.
27 Cleveland, R.B., W.S. Cleveland, J.E. McRae and I. Terpenning. 1990. STL: A seasonal-trend decomposition procedure based on loess. Journal of Official Statistics 6(1):3-73.