References
- Allen, C. D., A. K. Macalady, H. Chenchouni, D. Bachelet, N. McDowell, M. Vennetier, T. Kitzberger, A. Rigling, D. D. Breshears, and E. T. Hogg, 2010: A global overview of drought and heat-induced tree mortality reveals emerging climate change risks for forests. Forest Ecology and Management 259(4), 660-684. https://doi.org/10.1016/j.foreco.2009.09.001
- Berger, A. L., S. A. D. Pietra, and V. J. D. Pietra, 1996: A maximum entropy approach to natural language processing. Computational Linguistics 22(1), 39-71.
- Bertrand, R., J. Lenoir, C. Piedallu, G. Riofrio-Dillon, P. Ruffray, C. Vidal, J.-C. Pierrat, and J.-C. Gegout, 2011: Change in plant community composition lag behind climate warming in lowland forests. Nature 479, 517-520. https://doi.org/10.1038/nature10548
- Choi, J., P. S. Lee, and S. H. Lee, 2015: Anticipation of the future suitable cultivation areas for Korean pines in Korean peninsula with climate change. Journal of Korean Society of Environmental Restoration Technology 18(1), 103-113. (in Korea with English abstract) https://doi.org/10.13087/kosert.2015.18.1.103
- Chun, J. H., and C.-B. Lee, 2013: Assessing the effects of climate change on the geographic distribution of Pinus densiflora in Korea using ecological niche model. Agricultural and Forest Meteorology 15(4), 219-233. (in Korea with English abstract) https://doi.org/10.5532/KJAFM.2013.15.4.219
- Franklin, J., 2009: Mapping species distributions: spatial inference and prediction. Cambridge University Press.
- IPCC, 2014: Synthesis Report. Conrtibution of Working Group I, II and III to the Firth Assessment Report of the Intergovernmental Panel on Climate Change (Core Writign Team, R. K. Rachauri, and L. A. Meyer, eds). IPCC, Geneva, Switzerland, 151pp.
- Kang, S. K., J.-H. Lim., E. S. Kim, and N. H. Cho, 2016: Modelling analysis of climate and soil depth effects on pine tree dieback in Korea using BIOME-BGC. Korean Journal of Agricultural and Forest Meteorology 18(4), 242-252. (in Korea with English abstract) https://doi.org/10.5532/KJAFM.2016.18.4.242
- Kim, D. W., J. C. Park, and D.-H. Jang, 2017a: Analysis of the possibility for drought detection of spring season using SPI and NDVI. Journal of the association of Korean geographers 6(2), 165-174. (in Korea with English abstract) https://doi.org/10.25202/JAKG.6.2.5
- Kim, H. G., D.-K. Lee, Y. W. Mo, S. H. Kil, P. Chan, and S. J. Lee, 2013: Prediction of landslides occurrence probability under climate change using MaxEnt model. Journal of Environmental Impact Assessment 22(10), 30-50. (in Korea with English abstract)
- Kim, J. B., E. S. Kim, and J.-H. Lim, 2017b: Topographic and meteorological characteristics of pinus densiflora dieback areas in Sogwang-Ri, Uljin. Korean Journal of Agricultural and Forest Meteorology 19(1), 10-18. (in Korea with English abstract) https://doi.org/10.5532/KJAFM.2017.19.1.10
- Kim, K. T., and J. S. Park, 2006: Correlation analysis of vegetation index and drought index. Wetlands research 8(1), 49-58. (in Korea with English abstract)
- Kim, T.-G., Y. G. Cho, and J.-G. Oh, 2015: Prediction model of pine forests' distribution change according to climate change. Korean Society of Limnology 48(4), 229-237. (in Korea with English abstract)
- KEI(Korea Environment Institute), 2001: Climate change impacts assessment and adaptation measures on ecosystem. II - Forest eco-climate model development. 107pp.
- KFS(Korea Forest Service), 2016: Survey Report of National pine forest Resources. 9pp.
- KFS(Korea Forest Service), 2017: National pine forest monitoring. 1pp.
- Kumar, S., J. Graham, A. M. West, and P. H. Evangelista, 2014: Using district-level occurrences in maxent for predicting the invasion potential of an exotic insect pest in India. Computers and Electronics in Agriculture 103, 55-62. https://doi.org/10.1016/j.compag.2014.02.007
- Lee, H. W., 2012: Prediction of Spatial Distribution and Forest Carbon Storage on Pinus densiflora and Quercus spp. Stands in Korea using 4th Forest Cover Map and HyTAG Model (Master Dissertation, Korea University, South Korea) (in Korea with English abstract)
- Lee, S.-H., P. S.-H. Lee, S. A. Lee, S.-Y. Ji, and J. Choi., 2015: Predicting the changes in cultivation areas of walnut trees (Juglans sinensis) in Korea due to climate change impacts. Korean Journal of Agricultural and Forest Meteorology 17(4), 399-410. (in Korea with English abstract) https://doi.org/10.5532/KJAFM.2015.17.4.399
- Lim, J.-H., 2016: Climate change-induced dieback of evergreen conifers in Korea and options for adaptation. Proceedings of 2016 International Climate Change Adaptation Symposium on Forest Management for Enhancing Resilience to Climate Change, Seoul, Korea. 53-76.
- Lee, Y.-H., Y.-J. Oh, S.-H. Hong, C.-S. Na, Y.-E. Na, C.-S. Kim, and S.-I. Sohn, 2015: Predicting the suitable habitat of invasive alien plant Conyza bonariensis based on climate change scenarios. Climate Change Research 6(3), 243-248. (in Korea with English abstract) https://doi.org/10.15531/ksccr.2015.6.3.243
- Mather, J. R., and G. A. Yoshioka, 1968: The role of climate in the distribution of vegetation. Journal of the Association of American Geographers 58, 29-41. https://doi.org/10.1111/j.1467-8306.1968.tb01634.x
- McDowell, N., W. T. Pockman, C. D. Allen, D. D. Breshears, N. Cobb, T. Kolb, J. Plaut, J. Sperry, A. West, D. G. Williams, and E. A. Yepez, 2008: Mechanisms of plant survival and mortality during drought: why do some plants survive while others succumb to drought? New Phytologist 178, 719-739. https://doi.org/10.1111/j.1469-8137.2008.02436.x
- NIFOS(National Institute of Forest Science), 2012: Economic Species (1) Pine tree. 250.
- NIFOS(National Institute of Forest Science), 2014: Predicting Changes of Productive Areas for Major Species under Climate Change in Korea.
- Phillips, S. J., R. P. Anderson, and R. E. Schapire, 2006: Maximum entropy modeling of species geographic distributions. Ecological Modelling 190, 231-259. https://doi.org/10.1016/j.ecolmodel.2005.03.026
- Phillips, S. J., and M. Dudik, 2008: Modeling of species distributions with MaxEnt: new extensions and a comprehensive evaluation. Ecography 1, 161-175. https://doi.org/10.1111/j.0906-7590.2008.5203.x
- Rosas, T., L. Galiano, R. Ogaya, J. Peñuelas, and J. M. Vilalta, 2013: Dynamics of non-structural carbohydrates in three Mediterranean woody species following long-term experimental drought. Frontiers in Plant Science 4, 400pp. https://doi.org/10.3389/fpls.2013.00400
- Seo, D. J., C.Y. Oh, K. S. Woo, and J. C. Lee., 2013: A study on ecological niche of Pinus densiflora forests according to the environment factors. Korean Journal of Agricultural and Forest Meteorology 15(3), 153-160. (in Korea with English abstract) https://doi.org/10.5532/KJAFM.2013.15.3.153
- Song, W. K., 2015: Habitat analysis of Hyla suweonensis in the breeding season using species distribution modeling. Journal of Korean Society of Environmental Restoration Technology 18(1), 71-82. (in Korea with English abstract) https://doi.org/10.13087/kosert.2015.18.1.71
- Stephenson, N., 1990: Climatic control of vegetation distribution: The role of the water balance. The American Naturalist 135(5), 649-670. https://doi.org/10.1086/285067
- Thuiller, W., 2003: BIOMOD-optimizing predictions of species distributions and projecting potential future shifts under global change. Global Change Biology 9(10), 1353-1362. https://doi.org/10.1046/j.1365-2486.2003.00666.x
- Walther, G. R., E. P. Convery, A. Menzel, C. Parmesan, R. J. C. Beebee, J. M. Fromentin, O. Hoegh-Guldberg, and F. Bairlein, 2002: Ecological responses to recent climate change. Nature 416, 389-395. https://doi.org/10.1038/416389a
- Zhang, X., M. A. Friedl, C. B. Schaaf, and A. H. Strahler, 2004: Climate controls on vegetation phonological patterns in northern mid- and high latitudes inferred from MODIS data. Journal of Global change biology 10, 1133-1145. https://doi.org/10.1111/j.1529-8817.2003.00784.x