참고문헌
- AAS. 2017. Agricultural area statistics. Statistics Korea. Daejeon, Korea. http://kostat.go.kr/wnsearch/search.jsp. Assessed on 25 August 2017.
- Austin M. 2007. Species distribution models and ecological theory: A critical assessment and some possible new approaches. Ecol. Model. 200:1-19.
- Beaumont LJ, RV Gallagher, MR Leishman, L Hughes and PO Downey. 2014. How can knowledge of the climate niche inform the weed risk assessment process? A case study of Chrysanthemoides monilifera in Australia. Divers. Distrib. 20:613-625. https://doi.org/10.1111/ddi.12190
- Boria RA, LE Olson, SM Goodman and RA Anderson. 2014. Spatial filtering to reduce sampling bias can improve the performance of ecological niche models. Ecol. Model. 275:73-77.
- Brown JL, JR Bennett and CM French. 2017. SDMtoolbox 2.0: the next generation Python-based GIS toolkit for landscape genetic, biogeographic and species distribution model analyses. PeerJ 5:e4095.
- CBD. 2009. Invasive Alien Species: Convention on Biological Diversity. Convention on Biological Diversity. Montreal, Canada. pp. 6-9.
- Choi JY, SH Lee and SH Lee. 2015. Anticipation of the future suitable cultivation areas for Korean pines in Korean Peninsula with climate change. J. Korean Env. Res. Tech. 18:103-113.
- Chun JH and CB Lee. 2013. Assessing the effects of climate change on the geographic distribution of Pinus densiflora in Korea using ecological niche model. Korean J. Agric. For. Meteorol. 15:219-233.
- Costea M and D DeMason. 2001. Stem morphology and anatomy in Amaranthus L. (Amaranthaceae) taxonomic significance. J. Torrey Bot. Soc. 128:254-281.
- EGIS. 2017. Envionmental Spatial Information Service. Ministry of Environment. Sejong, Korea. Available from URL: http://egis.me.go.kr/atlas/list.do. Accessed on 15 July 2017.
- Elith J and JR Leathwick. 2009. Species distribution models: Ecological explanation and prediction across space and time. Annu. Rev. Ecol. Evol. Syst. 40:677-697. https://doi.org/10.1146/annurev.ecolsys.110308.120159
- Fick SE and RJ Hijmans. 2017. Worldclim 2: New 1-km spatial resolution climate surfaces for global land areas. Int. J. Climatol. 37:4302-4315.
- Guisan A and W Thuiller. 2005. Predicting species distribution: offering more than simple habitat models. Ecol. Lett. 8:993-1009.
- KNA. 2014. Korea Biodiversity Information System. Korea National Arboretum. http://www.nature.go.kr. Assessed on 22 January 2014.
- Lee SH, HC Jung and JY Choi. 2012. Projecting climate change impact on the potential distribution of endemic plants (Megaleranthis saniculifolia) in Korea. J. Korean Env. Res. Tech. 15:75-83.
- Lee SH, JY Choi and YM Lee. 2011. Projection of climate change effects on the potential distribution of Abeliophyllum distichum in Korea. Korean J. Agri. Sci. 38:219-225.
- Lee SH, KH Cho and WJ Lee. 2016a. Prediction of potential distributions of two invasive alien plants, Paspalum distichum and Ambrosia artemisiifolia, using species distribution model in Korean peninsula. Ecol. Resil. Infrastruct. 3:189-200.
- Lee YG, JH Sung, JH Chun and MY Shin. 2014. Effect of climate changes on the distribution of productive areas for Quercus mongolica in Korea. J. Korean For. Soc. 103:605-612.
- Lee YH, SH Hong, CS Na, IS Sohn, MH Kim, CS Kim and YJ Oh. 2016b. Predicting the suitable habitat of Amaranthus viridis based on climate change scenarios by MaxEnt. Korean J. Environ. Biol. 34:240-245.
- Lee YH, YJ Oh, SH Hong, CS Na, YE Na, CS Kim and IS Sohn. 2015. Predicting the suitable habitat of invasive alien plant Conyza bonariensis based on climate change scenarios. J. Climate Change Res. 6:243-248.
- Padalia H, V Srivastava and S Kushwaha. 2014. Modeling potential invasion range of alien invasive species, Hyptis suaveolens (L.) Poit. in India: Comparison of MaxEnt and GARP. Ecol. Inform. 22:36-43.
- Park HC, JC Lim, JH Lee and GG Lee. 2017. Predicting the potential distributions of invasive species using the landsat imagery and Maxent: focused on "Ambrosia trifida L. var. trifida" in Korean Demilitarized Zone. J. Korean Env. Res. Tech. 20:1-12.
- Park HC, JH Lee and GG Lee. 2014. Predicting the suitable habitat of the Pinus pumila under climate change. J. Environ. Impact Assess. 23:379-392.
- Park SH. 2009. New Illustration and Photographs of Naturalized Plants of Korea. Ilchokak Publishing, Seoul.
- Phillips SJ, RP Anderson and RE Schapire. 2006. Maximum entropy modeling of species geographic distributions. Ecol. Model. 190:231-259.
- Pimentel D, L Lach, R Zuniga and D Morrison. 2000. Environmental and economic costs of nonindigenous species in the United States. BioScience 50:53-65.
- Pimentel D. 2002. Biological invasions: Economic and environmental costs of alien plant, animal, and microbe species. CRC press, Boca Raton, FL. p. 369.
- Qin Z, A DiTommaso, RS Wu and HY Huang. 2014. Potential distribution of two Ambrosia species in China under projected climate change. Weed Res. 54:520-531.
- Shcheglovitova M and RP Anderson. 2013. Estimating optimal complexity for ecological niche models: a jackknife approach for species with small sample sizes. Ecol. Model. 269:9-17.
- Smolik MG, S Dullinger, F Essl, I Kleinbauer, M Leitner, J Peterseil, LM Stadler and G Vog. 2010. Integrating species distribution models and interacting particle systems to predict the spread of an invasive alien plant. J. Biogeogr. 37:411-422.
- Stohlgren TJ, P Ma, S Kumar, M Rocca, JT Morisette, CS Jarnevich and N Benson. 2010. Ensemble habitat mapping of invasive plant species. Risk Anal. 30:224-235.
- Swets JA. 1988. Measuring the accuracy of diagnostic systems. Science 240:1285-1293.
- Tererai F and AR Wood. 2014. On the present and potential distribution of Ageratina adenophora (Asteraceae) in South Africa. S. Afr. J. Bot. 95:152-158.
- Won JG, KS Jang, JE Hwang, OH Kwon, TY Kwon and BC Moon. 2012. Yield response of red pepper by densities of D. ciliaris and A. patulus in eco-friendly cultivated field. Weed Turf. Sci. 1:38-43.
- Youngah L, G Munisamy, C Samuel and H Michael. 2011. Predicting potential invasive species distribution: An application to New Zealand mudsnails in the Pacific Northwest. pp. 24-26. In Proceedings of Agricultural & Applied Economic Association's 2011 AAEA & NAREA Joint Annual Meeting. Pittsburgh, Pennsylvania.
- Zimmermann NE, TC Edwards Jr, CH Graham, PB Pearman and JC Svenning. 2010. New trends in species distribution modelling. Ecography 33:985-989.