Browse > Article
http://dx.doi.org/10.11614/KSL.2016.49.2.142

Assessing the Influence of Topographic Factors on the Distribution of Aporia crataegi (Lepidoptera: Pieridae) in Northeast Asia Using a MaxEnt Modeling Approach  

Kim, Tae-Geun (Korea National Park Services)
Cho, YoungHo (Division of Ecological Assessment, National Institute of Ecology)
Song, Kyo-Hong (Division of Ecological Assessment, National Institute of Ecology)
Park, YoungJun (Division of Ecological Assessment, National Institute of Ecology)
Oh, Jang-Geun (National Park Research Institute, Korea National Park Services)
Publication Information
Korean Journal of Ecology and Environment / v.49, no.2, 2016 , pp. 142-146 More about this Journal
Abstract
The purpose of this study is to evaluate topographic characteristics revealed in the predicted distribution areas of Aporia crataegi, according to climate change. Towards this end, this study compared the differences of topographic factors, such as altitude, mountain slope and the aspect of slope, in the distribution areas with different potential inhabitation possibilities of the Aporia crataegi. The inhabitation possibilities of the Aporia crataegi were different, according to altitude and topographic slope, and the inhabitation possibility is judged to be affected more by the topographic conditions including altitude and mountain slope than by the aspect of slope. Especially, the inhabitation possibility of the Aporia crataegi was higher in the higher altitude area, as time goes on furthermore. The reason is that the current climate environment, which is suitable for the potential inhabitation of the Aporia crataegi, is forecast to be formed with an area with high altitude. Although the difference in the aspect of slope was not statistically significant according to inhabitation possibility, the reason why the inhabitation possibility of the Aporia crataegi varies in the mainly southeast slope is conjectured to be derived from the warmer heat environmental condition to grow from a larva into an imago. The result drawn in this study is expected to be utilized as basic data to establish a policy soundly preserving and managing the habitat of biospecies in consideration of climate change and topographic conditions in the natural ecosystem field by using the already built up various biological resources information.
Keywords
climate change; Aporia crataegi's distribution; topographic factors;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
1 Baldwin, R.A. 2009. Use of maximum entropy modeling in wildlife research. Entropy 11: 854-866.   DOI
2 Bennie, J., C.R. Lawson, R.J. Wilson, J.A. Hodgson, C.D. Thomas, C.T.R. Holloway, D.B. Roy and T. Brereton. 2013. Range expansion through fragmented landscapes under a variable climate. Ecology Letters 16(7):921-929.   DOI
3 Cao Yong, R.E. Dewalt, J.L. Robinson, Tari Tweddale. 2013. Using Maxent to model the historic distributions of stonefly species in Illinois streams: The effects of regularization and threshold selections. Ecological Modelling 259:30-39.   DOI
4 Elith, J., S. Ferrier, F. Huettmann and J. Leathwick. 2006. The evaluation strip: A new and robust method for plotting predicted responses from species distribution model. Ecological Modelling 186(3):280-289.   DOI
5 Elith, J. and J.R. Leathwick. 2009. Species distribution models:ecological explanation and prediction across space and time. Annual Review of Ecology, Evolution, and Systematics 40: 677-697.   DOI
6 Engler, R., A. Guisan and L. Rechsteiner. 2004. An improved approach for predicting the distribution of rare and endangered species from occurrence and pseudo-absence data. Journal Applied Ecology 41: 263-274.   DOI
7 Ficetola, G.F., W. Thuiller and C. Miaud. 2007. Prediction and validation of the potential global distribution of a problematic alien invasive species-the American bullfrog. Diversity and Distributions 13: 476-485   DOI
8 Guisan, A. and W. Thuiller. 2005. Predicting species distribution: offering more than simple habitat models. Ecology Letters 8: 993-1009.   DOI
9 Graham, C.H. and R.J. Hijmans. 2006. A comparison of methods for mapping species ranges and species richness. Global Ecology and Biogeography 15: 578-587.   DOI
10 Jarvis, A., H.I. Reuter, A. Nelson and E. Guevara. 2008. Holefilled SRTM for the globe Version 4, available from the CGIAR-CSI SRTM 90m Database (http://srtm.csi.cgiar.org).
11 Kim, T.G., Y.G. Han, O.S. Kwon and Y.H. Cho. 2015. Changes in Aporia crataegi's potential habitats in accordance with climate changes in the northeast Asia. Journal Ecology and Environment 38(1):15-23.   DOI
12 Kruskal, W.H. and W.A. Wallis. 1952. Use of ranks in one-criterion variance analysis. Journal of the American Statistical Association 47(260):583-621.   DOI
13 Phillips, S.J., R.P. Anderson and R.E. Schapire. 2006. Maximum entropy modeling of species geographic distributions. Ecological Modelling 190: 231-259.   DOI
14 Weiss, S.B., D.D. Murphy and R.R. White. 1988. Sun, slope and butterfies: topographic determinants of habitat quality for Euphydryas editha. Ecology 69: 1486-1496.   DOI
15 Phillips, S.J. and M. Dudik. 2008. Modeling of species distributions with Maxent: new extensions and a comprehensive evaluation. Ecography 31: 161-175.   DOI
16 Raven, P.H. and E.O. Wilson. 1992. A fifty-year plan for biodiversity surveys. Science 258: 1099-1100.   DOI
17 R Core Team. 2016. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL https://www.R-project.org/
18 Thomas, C.D., A. Cameron, R.E. Green, M. Bakkenes, L.J. Beaumont, Y.C Collingham, B.F.N. Erasmus, M.F.D Siqueira, A. Grainger, L. Hannah, L. Hughes, B. Huntley, A.S.V. Jaarsveld, G.F. Midgley, L. Miles, M.A. Ortega-Huerta, A. Townsend Peterson, O.L. Phillips and S.E. Williams. 2004. Extinction risk from climate change. Nature 427: 145-148.   DOI
19 Tukey, J.W. 1949. Comparing individual Means in the Analysis of Variance. Biometrics 5(20):99-114.   DOI
20 Ward, D.F. 2007. Modelling the potential geographic distribution of invasive ant species in New Zealand. Biological invasions 9: 723-735.   DOI
21 Wilson, C.D., D. Roberts and N. Reid. 2011. Applying species distribution modelling to identify areas of high conservation value for endangered species: A case study using Margaritifera margaritifera(L.). Biological Conservation 144: 821-829.   DOI