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Predicting the Habitat Changes of Abies koreana under SSP Climate Scenarios

SSP 시나리오에 따른 구상나무(Abies koreana)의 잠재 서식지 변화 예측

  • Jae-Ho Lee (Ecological Information Team, National Institute of Ecology) ;
  • Jae-Seok Lee (Department of Biological Sciences, Konkuk University) ;
  • Changwan Seo (Division of Ecological Research Strategy, National Institute of Ecology)
  • 이재호 (국립생태원 생태정보팀) ;
  • 이재석 (건국대학교 생명과학특성학과) ;
  • 서창완 (국립생태원 생태연구전략실)
  • Received : 2024.12.01
  • Accepted : 2024.12.09
  • Published : 2024.12.31

Abstract

Climate change significantly impacts biodiversity, particularly for endemic species in restricted habitats. This study focuses on the Korean fir (Abies koreana), an alpine conifer species in South Korea, to evaluate potential habitat changes under SSP climate scenarios (SSP1-2.6, SSP2-4.5, SSP3-7.0, SSP5-8.5). Using high-resolution ensemble climate data from the KMA (Korea Meteorological Administration) and integrating 10 species distribution models(SDMs) into an ensemble model, we predicted habitat suitability for the period 2010~2090. The species data was refined and constructed with a focus on location data so that it could be used in this model, using the National Ecosystem Survey, Baekdudaegan Conservation Area Survey of the National Institute of Ecology, and the National Park Natural Resources DB of National Park Service. The results identified BIO1 (mean annual temperature) and BIO13 (Precipitation of Wettest Month) as the most influential bioclimatic variables for habitat suitability. SSP1-2.6 exhibited fluctuating habitat area with partial recovery by 2070s, while SSP5-8.5 projected a near-complete loss of suitable habitats by 2090s. The ensemble model demonstrated robust performance, providing reliable predictions across all scenarios. This study highlights the substantial impact of climate change on the habitat suitability of Abies koreana and underscores the importance of understanding these changes to preserve vulnerable alpine ecosystems.

Keywords

Acknowledgement

이 연구는 "RS-2022-KE002369 (기후변화 적응을 위한 의사결정형 통합 영향평가 플랫폼 기반 구축 및 활용기술개발)과 EcoBank 유지관리 및 활용연구(NIE-고유연구-2024-01)"의 지원으로 수행되었습니다.

References

  1. Adhikari, P., M. Shin, J. Jeon, H. Kim, S. Hong and C. Seo. 2018. Potential impact of climate change on the species richness of subalpine plant species in the mountain na-tional parks of South Korea. Journal of Ecology and En-vironment 42: 36. https://doi.org/10.1186/s41610-018-0095-y
  2. Araujo, M. B. and M. New. 2007. Ensemble forecasting of spe- cies distributions. Trends in Ecology & Evolution 22(1): 42-47. https://doi.org/10.1016/j.tree.2006.09.010
  3. Benito, B., J. Lorite and J. Penas. 2011. Simulating potential effects of climatic warming on altitudinal patterns of key species in Mediterranean-alpine ecosystems. Climatic Change 108: 471-483. https://doi.org/10.1007/s10584-010-0015-3
  4. Elith, J. and J. R. Leathwick. 2009. Species distribution models: Ecological explanation and prediction across space and time. Annual Review of Ecology, Evolution, and Sys-tematics 40: 677-697. https://doi.org/10.1146/annurev.ecolsys.110308.120159
  5. Guisan, A. and J. P. Theurillat. 2000. Assessing alpine plant vul-nerability to climate change: a modeling perspective. In-tegrated Assessment 1: 307-320. https://doi.org/10.1023/A:1018912114948
  6. Guisan, A. and W. Thuiller. 2005. Predicting species distribu-tion: Offering more than simple habitat models. Ecology Letters 8(9): 993-1009. https://doi.org/10.1111,j.1461-0248.2005.00792.x https://doi.org/10.1111,j.1461-0248.2005.00792.x
  7. Hijmans, R. J., S. E. Cameron, J. L. Parra, P. G. Jones and A. Jar-V1S. 2005. Very high resolution interpolated climate sur-faces for global land areas. International Journal of Cli-matology 25: 1965-1978. https://doi.org/10.1002/joc.1276
  8. Koo, K. A., J. Kim, W.-S. Kong, H. Jung and G. Kim. 2016. Projecting the Potential Distribution of Abies koreana in Korea Under the Climate Change Based on RCP Scenar-ios. Journal of the Korea Society of Environmental Resto-ration Technology 19(6): 19-30. https://doi.org/10.13087/KOSERT.2016.19.6.19
  9. Koo, K. A., W.-S. Kong, S. U. Park, J. H. Lee, J. Kim and H. Jung. 2017. Sensitivity of Korean fir (Abies koreana Wils.), a threatened climate relict species, to increasing tempera-ture at an island subalpine area. Ecological Modelling 353: 5-16. https://doi.org/10.1016/j.ecolmodel.2017.01.018
  10. Lee, K., D. Kim, J. Cha and S. Hong. 2023a. Fine-Scale Species Distribution Modeling of Abies koreana across a Subal-pine Zone in South Korea for In Situ Species Conserva-tion. Sustainability 15(11): 8964. https://doi.org/10.3390/su15118964
  11. Lee, S., H. Jung and J. Choi. 2021. Projecting the Impact of Climate Change on the Spatial Distribution of Six Sub-alpine Tree Species in South Korea Using a Multi-Mod-el Ensemble Approach. Forests 12(1): 37. https://doi.org/10.3390f12010037 https://doi.org/10.3390f12010037
  12. Lee, S., H. Park, A. Jeong, Y. Lee, S. Koo and M. Kim. 2023b. Management plans for Korean national parks to conserve the habitat of the Korean fir (Abies koreana). Biological Conservation 287: 110285. https://doi.org/10.1016/j.biocon.2023.110285
  13. Meinshausen, M., S. J. Smith, K. Calvin, J. S. Daniel, M. L. T. Kainuma, J-F. Lamarque, K. Matsumoto, S. A. Montzka, S. C. B. Raper, K. Riahi, A. Thomson, G. J. M. Velders and D. P. P. van Vuuren. 2011. The RCP greenhouse gas con-centrations and their extensions from 1765 to 2300. Cli-matic Change 109: 213. https://doi.org/10.1007/s10584-011-0156-z
  14. Parmesan, C. and G. Yohe. 2003. A globally coherent fingerprint of climate change impacts across natural systems. Nature 421:37-42. https://doi.org/10.1038/nature01286
  15. Shabani, F., L. Kumar and M. Ahmad. 2018. Assessing accuracy methods of species distribution models: A UC, specificity, sensitivity and the true skill statistic. Global Journal of Human-Social Science 18(1):7-18.
  16. Thuiller, W., B. Lafourcade, R. Engler and M.B. Araujo. 2009, BIOMOD-A platform for ensemble forecasting of spe-cies distributions. Ecography 32: 369-373. https://doi.org/10.1111/j.1600-0587.2008.05742.x
  17. Yun, J. H., K. Nakao, I. Tsuyama, T. Matsui, C.-H. Park, B.-Y. Lee and N. Tanaka. 2018. Vulnerability of subalpine fir species to climate change: using species distribution mod-eling to assess the future efficiency of current protected areas in the Korean Peninsula. Ecological Research 33: 341-350. https://doi.org/10.1007/s11284-018-1581-5