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Ahn BI, EK Kim, HH Kim and DH Kim. 2009. Analysis of the effects of climate change on the domestic wood market. J. Rural Develop. 32:109-131.
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Chun JH, CB Lee and SJ Yun. 2015. Effects of climate change on the geographic distribution of Quercus acuta Thunb. J. Agric. Life Sci. 49:47-57. https://doi.org/10.14397/jals.2015.49.6.47
DOI
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Chun JH, MY Shin, TS Kwon, JH Lim, YG Lee, GE Park, TW Kim and JH Sung. 2014. Predicting the Changes of Productive Areas for Major Tree Species under Climate Change in Korea. Korea Forest Research Institute. Seoul.
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Cui G, H Kwak, S Choi, M Kim, CH Lim, WK Lee, JS Kim and Y Chae. 2016. Assessing vulnerability of forests to climate change in South Korea. J. For. Res. 27:489-503. https://doi.org/10.1007/s11676-015-0201-2
DOI
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IPCC. 2018. Summary for policymakers. p. 32. In: Global Warming of 1.5℃. World Meteorological Organization, Intergovernmental Panel on Climate Change. Geneva, Switzerland.
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IPCC. 2021. Summary for policymakers. p. 3. In: Climate Change 2021: The Physical Science Basis. Intergovernmental Panel on Climate Change. Cambridge University Press. Cambridge.
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Joung YW, YM Kim and YA Jang. 2020. Studies on the antioxidant and whitening effects of Chamaecyparis obtusa Extract. J. Korean Appl. Sci. Technol. 37:1496-1506. https://doi.org/10.12925/jkocs.2020.37.6.1496
DOI
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Khan S and S Verma. 2022. Ensemble modeling to predict the impact of future climate change on the global distribution of Olea europaea subsp. cuspidata. Front. For. Glob. Change 5:977691.
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Kim HC, SS Oh, YC Song and YJ Kim. 2013. Distribution characteristics of phytoncide in Jeolmul Natural Recreation Forest of Jeju. J. Naturopathy 2:89-98. https://doi.org/10.3389/ffgc.2022.977691
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Kim SH, SY Lee, SM Cho, CY Hong, SY Park, MJ Park and IG Choi. 2017. Antioxidant activities of Cryptomeria japonica leaves extracts by extraction methods. J. Korean Wood Sci. Technol. 45:495-510.
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KMA. 2021. Climate Change Outlook for Korean Peninsula 2020. Korea Meteorological Administration. Seoul.
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KFS. 2021. Statistical Yearbook of Forestry. Korea Forest Service. Daejoen, Korea.
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Lee MK, JH Chun and CB Lee. 2021. Prediction of distribution changes of Carpinus laxiflora and C. tschonoskii based on climate change scenarios using MaxEnt model. Korean J. Agric. For. Meteorol. 23:55-67. https://doi.org/10.5532/KJAFM.2021.23.1.55
DOI
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Lee MY, YE Kim, JS Hong and KJ Jo. 2021. A stratified random sampling design for paddy fields: Optimized stratification and sample allocation for effective spatial modeling and mapping of the impact of climate changes on agricultural system in Korea. Korean J. Environ. Biol. 39:526-535. https://doi.org/10.11626/KJEB.2021.39.4.526
DOI
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Lee YH, CS Na, SH Hong, SI Sohn, CS Kim, IY Lee and YJ Oh. 2018. Predicting the potential habitat and risk assessment of Amaranthus patulus using MaxEnt. Korean J. Environ. Biol. 36:672-679. https://doi.org/10.11626/KJEB.2018.36.4.672
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Li Y, M Li, C Li and Z Liu. 2020. Optimized Maxent model predictions of climate change impacts on the suitable distribution of Cunninghamia lanceolata in China. Forests 11:302. https://doi.org/10.3390/f11030302
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Lim CH, S Yoo, Y Choi, SW Jeon, Y Son and WK Lee. 2018. Assessing climate change impact on forest habitat suitability and diversity in the Korean Peninsula. Forests 9:259. https://doi.org/10.3390/f9050259
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Lim CH, YS Kim, M Won, SJ Kim and WK Lee. 2019. Can satellite-based data substitute for surveyed data to predict the spatial probability of forest fire? A geostatistical approach to forest fire in the Republic of Korea. Geomat. Nat. Hazards Risk 10:719-739. https://doi.org/10.1080/19475705.2018.1543210
DOI
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Lim CH and HJ Kim. 2020. Machine learning application for identifying habitat suitability changes of indicator tree species against recent climate change. J. Clim. Chang. Res. 11:793-805. https://doi.org/793-805.10.15531/ksccr.2020.11.6.793
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Lim CH and HA Choi. 2021. Ecosystem service-based economic valuation of forest restoration in North Korea. Korean J. Environ. Biol. 39:225-235. https://doi.org/10.11626/KJEB.2021.39.2.225
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Lim CH and HJ Kim. 2022. Can forest-related adaptive capacity reduce landslide risk attributable to climate change? - Case of Republic of Korea. Forests 13:49. https://doi.org/10.3390/f13010049
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Lim JH, JH Chun, KE Park and MY Shin. 2016. Effect of climate change on the tree-ring growth of Pinus koraiensis in Korea. J. Korean Soc. For. Sci. 105: 351-359. https://doi.org/10.14578/JKFS.2016.105.3.351
DOI
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Noce S, A Collalti and M Santini. 2017. Likelihood of changes in forest species suitability, distribution, and diversity under future climate: The case of Southern Europe. Ecol. Evol. 7:9358-9375. https://doi.org/10.1002/ece3.3427
DOI
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Park HC, HL Jung and GG Lee. 2014. Predicting the suitable habitat of the Pinus pumila under climate change. J. Environ. Impact Assess. 23:380-393
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Park J, IW Jung, H Chang and DH Jang. 2012. Relationship between population and changes in warmth and coldness indices in South Korea. J. Clim. Res. 7:210-225.
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Park SU, KA Koo, C Seo and WS Kong. 2016. Potential impact of climate change on distribution of Hedera rhombea in the Korean Peninsula. J. Clim. Chang. Res. 7:325-334. https://doi.org/10.15531/ksccr.2016.7.3.325
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Seo CW, YR Park and YS Choi. 2008. Comparison of species distribution models according to location data. J. Korean Soc. Geospatial Inform. Sci. 16:59-64.
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Yoo SM, CH Lim, MI Kim, CH Song, SJ Kim and WK Lee. 2020. Potential Distribution of Endangered Coniferous Tree Species under Climate Change. J. Clim. Chang. Res. 11:215-226. https://doi.org/10.15531/ksccr.2020.11.4.215
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Yoon KB, SY Kim, SW Cheong, JH Lee, JH Tho and SH Han. 2022. Developing system of forest habitat quality assessment for endangered species. Korean J. Environ. Biol. 40:307-315. https://doi.org/10.11626/KJEB.2022.40.3.307
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Zhang X, J Chen, AC Dias and H Yang. 2020. Improving carbon stock estimates for in-use harvested wood products by linking production and consumption - a global case study. Environ. Sci. Technol. 54:2565-2574. https://doi.org/10.1021/acs.est.9b05721
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