Bioclimatic Variables in South Korea under Climate Change SSP Scenario
In this study, bioclimatic variables in 2100 were created by using 7 Global Climate Models (GCMs) predicted by the Shared Socioeconomic Pathways (SSP) scenario. Using the dismo package of the R program, 19 bioclimatic variables of the year 2100 were generated. The annual mean temperature in 2100 has...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
GeoAI Data Society
2021-12-01
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| Series: | Geo Data |
| Subjects: | |
| Online Access: | http://geodata.kr/upload/pdf/geo-3-4-57.pdf |
| Summary: | In this study, bioclimatic variables in 2100 were created by using 7 Global Climate Models (GCMs) predicted by the Shared Socioeconomic Pathways (SSP) scenario. Using the dismo package of the R program, 19 bioclimatic variables of the year 2100 were generated. The annual mean temperature in 2100 has risen the most compared to the present (2000). Bioclimatic variables can be mainly used in the Species Distribution Model and Ecological Modeling to predict the distribution of species. |
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| ISSN: | 2713-5004 |