Background: Many studies about climate-related range shift of plants have focused on understanding the relationship between climatic factors and plant distributions. However, consideration of adaptation factors, such as dispersal and plant physiological processes, is necessary for a more accurate prediction. This study predicted the future distribution of marlberry (Ardisia japonica), a warm-adapted evergreen broadleaved shrub, under climate change in relation to the dispersal ability that is determined by elapsed time for the first seed production. Results: We introduced climate change data under four representative concentration pathway (RCP 2.6, 4.5, 6.0, and 8.5) scenarios from five different global circulation models (GCMs) to simulate the future distributions (2041~2060) of marlberry. Using these 20 different climate data, ensemble forecasts were produced by averaging the future distributions of marlberry in order to minimize the model uncertainties. Then, a dispersal-limited function was applied to the ensemble forecast in order to exam the impact of dispersal capacity on future marlberry distributions. In the dispersal-limited function, elapsed time for the first seed production and possible dispersal distances define the dispersal capacity. The results showed that the current suitable habitats of marlberry expanded toward central coast and southern inland area from the current southern and mid-eastern coast area in Korea. However, given the dispersal-limited function, this experiment showed lower expansions to the central coast area and southern inland area. Conclusions: This study well explains the importance of dispersal capacity in the prediction of future marlberry distribution and can be used as basic information in understanding the climate change effects on the future distributions of Ardisia japonica.
Barry, S., & Elith, J. (2006). Error and uncertainty in habitat models. Journal of Applied Ecology, 43(3), 413–423.
Díaz, S., Demissew, S., Carabias, J., Joly, C., Lonsdale, M., Ash, N., Larigauderie, A., Adhikari, J. R., Arico, S., & Báldi, A. (2015). The IPBES conceptual framework—connecting nature and people. Current Opinion in Environmental Sustainability, 14, 1–16.
Elith, J., & Leathwick, J. R. (2009). Species distribution models: ecological explanation and prediction across space and time. Annual Review of Ecology, Evolution, and Systematics, 40(1), 677–697.
Engler, R., & Guisan, A. (2009). MigClim: predicting plant distribution and dispersal in a changing climate. Diversity and Distributions, 15(4), 590–601.
Engler, R., Hordijk, W., & Guisan, A. (2012). The MIGCLIM R package—seamless integration of dispersal constraints into projections of species distribution models. Ecography, 35(10), 872–878.
Guisan, A., & Thuiller, W. (2005). Predicting species distribution: offering more than simple habitat models. Ecology Letters, 8(9), 993–1009.
Guisan, A., & Zimmermann, N. E. (2000). Predictive habitat distribution models in ecology. Ecological Modelling, 135(2), 147–186.
Hijmans RJ, (2004), Arc Macro Language (AML®) version 2.1 for calculating 19bioclimatic predictors: Berkeley, Calif, Museum of Vertebrate Zoology, University of California at Berkeley. Available at http://www.worldclim. org/bioclim.
Kang BH. (2012). The Korea resource plant. PAJU, Korea Science Information.
Kendon, E. J., Jones, R. G., Kjellström, E., & Murphy, J. M. (2010). Using and designing GCM-RCM ensemble regional climate projections. Journal of Climate, 23(24), 6485–6503.
Koo KA. (2000). Distribution of evergreen broadleaved trees and climatic factors. KyungHee University.
Koo, K. A., Kong, W., Nibbelink, N. P., Hopkinson, C. S., & Lee, J. H. (2015). Potential effects of climate change on the distribution of cold-tolerant evergreen broadleaved woody plants in the Korean Peninsula. PLoS One, 10(8), e0134043.
Korea Meteorological Administration. (2012). The climate atlas of Korea. Korea Meteorological Administration, Seoul.
Korea National Arboretum. (2004). Distribution maps of vascular plants of Korean Peninsula I. South coast province. Korea National Arboretum, Pocheon.
Korea National Arboretum. (2005). Distribution maps of vascular plants of Korean Peninsula II. South Province (Jeolla-do & jirisan). Korea National Arboretum, Pocheon.
Korea National Arboretum. (2006). Distribution maps of vascular plants of Korean Peninsula III. Central & South Province (Chungcheong-do). Korea National Arboretum, Pocheon.
Korea National Arboretum. (2007). Distribution maps of vascular plants of Korean Peninsula IV. Central & South Province (Gyeongsangbuk-do). Korea National Arboretum, Pocheon.
Korea National Arboretum. (2008). Distribution maps of vascular plants of Korean Peninsula V. Central Province (Geonggi-do). Korea National Arboretum, Pocheon.
Korea National Arboretum. (2009). Distribution maps of vascular plants of Korean Peninsula VI. Central Province (Gangwon-do). Korea National Arboretum, Pocheon.
Korea National Arboretum. (2010a). Distribution maps of vascular plants of Korean Peninsula VII. South Province (Gyeongsangnam-do) and Ulleung-do Province. Korea National Arboretum, Pocheon.
Korea National Arboretum. (2010b). Distribution maps of vascular plants of Korean Peninsula VII. Jeju-do Province. Korea National Arboretum, Pocheon.
Korea National Arboretum. (2011). Distribution maps of vascular plants of Korean Peninsula IX. West & South coast Province. Korea National Arboretum, Pocheon.
Landis, J. R., & Koch, G. G. (1977). The measurement of observer agreement for categorical data. Biometrics, 159–174.
Lee, T. B. (1980). Flora of korea. Hyangmunsa: Seoul.
Lee, W. C., & Yim, Y. (2002). Plant geography with special reference to Korea. Chuncheon: Kangwon National University press.
Midgley, G. F., Davies, I. D., Albert, C. H., Altwegg, R., Hannah, L., Hughes, G. O.,O'Halloran, L. R., Seo, C., Thorne, J. H., & Thuiller, W. (2010). BioMove—an integrated platform simulating the dynamic response of species to environmental change. Ecography, 33(3), 612–616.
Ministry of Environment. (2010). 100 climate-sensitive biological indicator species.
Nakao, K., Higa, M., Tsuyama, I., Lin, C., Sun, S., Lin, J., Chiou, C., Chen, T., Matsui, T.,& Tanaka, N. (2014). Changes in the potential habitats of 10 dominant evergreen broad-leaved tree species in the Taiwan-Japan archipelago. Plant Ecology, 215(6), 639–650.
Nakao, K., Matsui, T., Horikawa, M., Tsuyama, I., & Tanaka, N. (2011). Assessing the impact of land use and climate change on the evergreen broad-leaved species of quercus acuta in japan. Plant Ecology, 212(2), 229–243.
National Geographic Information Institute. (2014). The national atlas of Korea 1st edition, Suwon, HumanCultureArirang.
Nix, H. A. (1986). A biogeographic analysis of Australian elapid snakes. Atlas of elapid snakes of Australia, 7, 4–15.
Park, S. U., Koo, K. A., & Kong, W. (2016). Potential impact of climate change on distribution of warm temperate evergreen broad-leaved trees in the Korean Peninsula. Journal of the Korean Geographical Society, 51(2), 201–217.
Park, S. U., Koo, K. A., Seo, C., & Kong, W.-S. (2016). Potential impact of climate change on distribution of Hedera rhombea in the Korean Peninsula. Journal of Climate Change Research, 7(3), 325–334.
Pearson, R. G. (2010). Species’ distribution modeling for conservation educators and practitioners. Lessons in Conservation, 3, 54–89.
Randin, C. F., Engler, R., Normand, S., Zappa, M., Zimmermann, N. E., Pearman, P.B., Vittoz, P., Thuiller, W., & Guisan, A. (2009). Climate change and plant distribution: local models predict high-elevation persistence. Global Change Biology, 15(6), 1557–1569.
Shin SC. (2006). Research in the climate classification by koppen system in South Korea. Kyungpook Nation University.
Taylor, K. E., Stouffer, R. J., & Meehl, G. A. (2012). An overview of CMIP5and the experiment design. Bulletin of the American Meteorological Society, 93(4), 485–498.
Thomas, C. D., Cameron, A., Green, R. E., Bakkenes, M., Beaumont, L. J., Collingham, Y. C., Erasmus, B. F., De Siqueira, M. F., Grainger, A., & Hannah, L.(2004). Extinction risk from climate change. Nature, 427(6970), 145–148.
Thuiller, W., Lafourcade, B., Engler, R., & Araújo, M. B. (2009). BIOMOD—a platform for ensemble forecasting of species distributions. Ecography, 32(3), 369–373.
Thuiller W., Lavorel S., Araujo MB., Sykes MT., & Prentice IC. (2005). Climate change threats to plant diversity in Europe. Proceedings of the National Academy of Sciences of the United States of America 102(23), 8245-8250.
Vellend, M., Myers, J. A., Gardescu, S., & Marks, P. L. (2003). Dispersal of Trillium seeds by deer: implications for long-distance migration of forest herbs. Ecology, 84(4), 1067–1072.
Wang, T., Campbell, E. M., O’Neill, G. A., & Aitken, S. N. (2012). Projecting future distributions of ecosystem climate niches: uncertainties and management applications. Forest Ecology and Management, 279, 128–140.
Wenger, S. J., Som, N. A., Dauwalter, D. C., Isaak, D. J., Neville, H. M., Luce, C. H.,Dunham, J. B., Young, M. K., Fausch, K. D., & Rieman, B. E. (2013). Probabilistic accounting of uncertainty in forecasts of species distributions under climate change. Global Change Biology, 19(11), 3343–3354.
Yun, J., Nakao, K., Tsuyama, I., Higa, M., Matsui, T., Park, C., Lee, B., & Tanaka, N.(2014). Does future climate change facilitate expansion of evergreen broadleaved tree species in the human-disturbed landscape of the Korean Peninsula? Implication for monitoring design of the impact assessment. Journal of Forest Research, 19(1), 174–183.
Yun, J. H., Katsuhiro, N., Park, C. H., Lee, B. Y., & Oh, K. H. (2011). Change prediction for potential habitats of warm-temperate evergreen broadleaved trees in Korea by climate change. Korean Journal of Environment and Ecology, 25(4), 590–600.