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2022 Vol.9, Issue 4 Preview Page

Original Article

31 December 2022. pp. 282-289
Abstract
References
1
AMNH 2022. American Musem of Natural History. https:// biodiversityinformatics.amnh.org/open_source/maxent. Assessed 01 April 2022.
2
Bae, E.H. and Jung, J.H. 2015. Prediction of shift in fish distributions in the Geum River Watershed under climate change. Ecology and Resilient Infrastructure 2: 198-205. (in Korean) 10.17820/eri.2015.2.3.198
3
Cho, K.H. and Lee, S.H. 2015. Prediction of changes in the potential distribution of a waterfront alien plant, Paspalum distichum var. indutum, under climate change in the Korean Peninsula. Ecology and Resilient Infrastructure 2: 206-215. (in Korean) 10.17820/eri.2015.2.3.206
4
Elith, J., Phillips, S.J., Hastie, T., Dudík, M., Chee, Y.E., and Yates, C.J. 2011. A statistical explanation of MaxEnt for ecologists. Diversity and Distributions 17: 43-57. 10.1111/j.1472-4642.2010.00725.x
5
GBIF. 2022. Global Biodiversity Information Facility. http://data.gbif.org/species. Assessed 06 July 2022.
6
Go, S.-J., Kang H., Chim S.-H., and Chang, J.I. 1997. Native habitat survey of wax myrtle in Cheju Province and its propagation by seed and cutting. Journal of Biological Production Facilities & Environmental Control 6: 225-234. (in Korean)
7
Kim, C.H., Moon, M.O., An, J.G., Hwang, I.C., Lee, S.H., Choi, S.S., Lee, J.H., Beom, H.M., Kim, C.G., and Cha, J.Y. 2018. Floristic target species in Korea. National Institute of Ecology, Seocheon, South Korea. (in Korean)
8
Kim, W.-M., Kim, C.Y., Cho, J.P., Hur, J.N., and Song, W.K. 2022. Prediction of Acer pictum subsp. mono distribution using bioclimatic predictor based on SSP scenario detailed data. Ecology and Resilient Infrastructure 9: 163-173. (in Korean)
9
KMA. 2020. Korean climate change assessment report 2020. Korea Meteorological Administration, Seoul, South Korea. (in Korean)
10
López‐Martínez, V., Sánchez‐Martínez, G., Jiménez‐García, D., Pérez‐De la O, N.B., and Coleman, T.W. 2016. Environmental suitability for Agrilus auroguttatus (Coleoptera: Buprestidae) in Mexico using MaxEnt and database records of four Quercus (Fagaceae) species. Agricultural and Forest Entomology 18: 409-418. 10.1111/afe.12174
11
NBC. 2022. CBD-CHM KOREA. National Biodiversity Center. https://www.kbr.go.kr. Assessed 06 July 2022.
12
Negrini, M., Fidelis, E.G., Picanço, M.C., and Ramos, R.S. 2020. Mapping of the Steneotarsonemus spinki invasion risk in suitable areas for rice (Oryza sativa) cultivation using MaxEnt. Experimental and Applied Acarology 80: 445-461. 10.1007/s10493-020-00474-632072353
13
NIFS. 2021. Analysis of potential distribution area of subtropical forest life resources in response to climate change. National Institute of Forest Science, Seoul, South Korea. (in Korean)
14
Oh, Y.-J., Kim, M.-H., Choi, S.-K., Kim, M.-K., Eo, J., Yeob, S.-J., Bang, J. H., and Lee, Y. H. 2021. Prediction of the spatial distribution of suitable habitats for Geranium carolinianum under SSP scenarios. Ecology and Resilient Infrastructure, 8: 154-163. (in Korean)
15
O'Neill, B. C., Tebaldi, C., van Vuuren, D. P., Eyring, V., Friedlingstein, P., Hurtt, G., Knutti, R., Kriegler, E., Lamarque, J.-F., Lowe, J., Meehl, G. A., Moss, R., Riahi, K., and Sanderson, B. M. 2016. The Scenario model intercomparison project (ScenarioMIP) for CMIP6, Geoscientific Model Development, 9: 3461-3482. 10.5194/gmd-9-3461-2016
16
Padalia, H., Srivastava, V., and Kushwaha, S.P.S. 2014. Modeling potential invasion range of alien invasive species, Hyptis suaveolens (L.) Poit. in India: Comparison of MaxEnt and GARP. Ecological Informatics 22: 36-43. 10.1016/j.ecoinf.2014.04.002
17
Palkar, R.S., Janarthanam, M.K., and Sellappan, K. 2020. Prediction of potential distribution and climatic factors influencing Garcinia indica in the Western Ghats of India using ecological niche modeling. National Academy Science Letters 7: 1-7. 10.1007/s40009-020-00918-y
18
Phillips, S.J., Anderson, R.P., and Schapire, R.E. 2006. Maximum entropy modeling of species geographic distributions. Ecological Modelling 190: 231-259. 10.1016/j.ecolmodel.2005.03.026
19
Phillips, S.J., Anderson, R.P., Dudík, M., Schapire, R.E., and Blair, M.E. 2017. Opening the black box: An open‐source release of Maxent. Ecography 40: 887-893. 10.1111/ecog.03049
20
QGIS Development Team. 2022. QGIS Geographic Information System. Open Source Geospatial Foundation. http://qgis.org. Assessed 06 April 2022.
21
Santos, R.R., Hernández, M.J.P., Báez, W.L., Ramos, J.H., Flores, H.J. M., Uicab, J.V.C., and Santos, M.D.R. 2018. The ecological niche as a tool for predicting potential areas of two pine species. Mexican Journal of Forest Sciences, 9: 47-68.
22
Schmidt, H., Radinger, J., Teschlade, D., and Stoll, S. 2020. The role of spatial units in modelling freshwater fish distributions: Comparing a subcatchment and river network approach using MaxEnt. Ecological Modelling 418: 108937. 10.1016/j.ecolmodel.2020.108937
23
Valavi, R., Shafizadeh-Moghadam, H., Matkan, A., Shakiba, A., Mirbagheri, B., and Kia, S.H. 2019. Modelling climate change effects on Zagros forests in Iran using individual and ensemble forecasting approaches. Theoretical and Applied Climatology 137: 1015-1025. 10.1007/s00704-018-2625-z
24
Warren, D.L., Glor, R.E., and Turelli, M. 2010. ENMTools: a toolbox for comparative studies of environmental niche models. Ecography 33: 607-611. 10.1111/j.1600-0587.2009.06142.x
25
Worldclim. 2022. Global climate and weather data. http://www.worldclim.org. Assessed 06 July 2022.
Information
  • Publisher :Korean Society of Ecology and Infrastructure Engineering
  • Publisher(Ko) :응용생태공학회
  • Journal Title :Ecology and Resilient Infrastructure
  • Journal Title(Ko) :응용생태공학회 논문집
  • Volume : 9
  • No :4
  • Pages :282-289
  • Received Date : 2022-12-21
  • Revised Date : 2022-12-22
  • Accepted Date : 2022-12-23