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Climate Change Impact Assessment of Abies nephrolepis (Trautv.) Maxim. in Subalpine Ecosystem using Ensemble Habitat Suitability Modeling

서식처 적합모형을 적용한 고산지역 분비나무의 기후변화 영향평가

  • Choi, Jae-Yong (Department of Environment & Forest Resources, Chungnam National University) ;
  • Lee, Sang-Hyuk (Institute of Agricultural Science, Chungnam National University)
  • 최재용 (충남대학교 산림환경자원학과) ;
  • 이상혁 (충남대학교 농업과학연구소)
  • Received : 2018.02.05
  • Accepted : 2018.02.28
  • Published : 2018.02.28

Abstract

Ecosystems in subalpine regions are recognized as areas vulnerable to climatic changes because rainfall and the possibility of flora migration are very low due to the characteristics of topography in the regions. In this context, habitat niche was formulated for representative species of arbors in subalpine regions in order to understand the effects of climatic changes on alpine arbor ecosystems. The current potential habitats were modeled as future change areas according to the climatic change scenarios. Based on the growth conditions and environmental characteristics of the habitats, the study was conducted to identify direct and indirect causes affecting the habitat reduction of Abies nephrolepis. Diverse model algorithms for explanation of the relationship between the emergence of biological species and habitat environments were reviewed to construct the environmental data suitable for the six models(GLM, GAM, RF, MaxEnt, ANN, and SVM). Weights determined through TSS were applied to the six models for ensemble in an attempt to minimize the uncertainty of the models. Based on the current climate determined by averaging the climates over the past 30years(1981~2010) and the HadGEM-RA model was applied to fabricate bioclimatic variables for scenarios RCP 4.5 and 8.5 on the near and far future. The results of models of the alpine region tree species studied were put together and evaluated and the results indicated that a total of eight national parks such as Mt. Seorak, Odaesan, and Hallasan would be mainly affected by climatic changes. Changes in the Baekdudaegan reserves were analyzed and in the results, A. nephrolepis was predicted to be affected the most in the RCP8.5. The results of analysis as such are expected to be finally utilizable in the survey of biological species in the Korean peninsula, restoration and conservation strategies considering climatic changes as the analysis identified the degrees of impacts of climatic changes on subalpine region trees in Korean peninsula with very high conservation values.

Keywords

References

  1. Brotons L․Thuiller W․Arajo MB and Hirzel AH. 2004. Presence-absence versus presence- only modelling methods for predicting bird habitat suitability. Ecography. 27(4): 437-448. https://doi.org/10.1111/j.0906-7590.2004.03764.x
  2. Cheng WC and Fu LK. 1978. Abies Mill, Flora Reipublicae Popularis Sinica. Science Press Beijing. 7: 55-95.
  3. Dormann CF․Elith J․Bacher S․Buchmann C․Carl G․Carr G․Marquz JRG․ Gruber B․Lafourcade B․Leito PJ․ Mnkemller T․Mcclean C․Osborne PE․ Reineking B․Schrder B․Skidmore AK․ Zurell D and Lautenbach S. 2013. Collinearity: A review of methods to deal with it and a simulation study evaluating their performance. Ecography. 36(1): 027-046. https://doi.org/10.1111/j.1600-0587.2012.07348.x
  4. Elith J․Graham CH․Anderson RP․Dudk M․ Ferrier S․Guisan A․Hijmans RJ․ Huettmann F․Leathwick JR․Lehmann A Li J․Lohmann LG․Loiselle BA․Manion G․Moritz C․Nakamura M․Nakazawa Y․Overton JMC․Peterson AT․Phillips SJ․Richardson K․Scachetti-Pereira R․ Schapire RE․Sobern J․Williams S․Wisz MS and Zimmermann NE. 2006. Novel methods improve prediction of species' distributions from occurrence data, Ecography. Wiley Online Library (Fifty-fifth session). 29(2): 129-151.
  5. Elith J․Kearney M and Phillips S. 2010. The art of modelling range-shifting species, Methods in Ecology and Evolution. Blackwell Publishing Ltd, 1(4): 330-342.
  6. Elith J and Leathwick JR. 2009. Species Distribution Models: Ecological Explanation and Prediction Across Space and Time. Annual Review of Ecology, Evolution, and Systematics, 40(1): 677-697. https://doi.org/10.1146/annurev.ecolsys.110308.120159
  7. Franklin J. 2010. Mapping Species Distributions: Spatial Inference and Prediction (Ecology, Biodiversity and Conservation). first edit. ambridge University Press.
  8. Gilman E Chaloupka M Wiedoff B and Willson J. 2014. Mitigating seabird bycatch during hauling by pelagic longline vessels. PloS one 9(1): e84499. https://doi.org/10.1371/journal.pone.0084499
  9. Gregory AW․Smith GW and Yetman J. 2001. Testing for forecast consensus. Journal of Business & Economic Statistics. Taylor & Francis. 19(1): 34-43. https://doi.org/10.1198/07350010152472599
  10. Httenschwiler S and Smith WK. 1999. Seedling occurrence in alpine treeline conifers: a case study from the central Rocky Mountains, USA, Acta Oecologica. Elsevier, 20(3): 219-224. https://doi.org/10.1016/S1146-609X(99)80034-4
  11. Hijmans RJ․Schreuder M․de La Cruz J and Guarino L. 1999. Using GIS to check co-ordinates of genebank accessions. Genetic Resources and Crop Evolution, 46(3), pp. 291296.
  12. Hirzel AH․Hausser J․Chessel D and Perrin N. 2002. Ecological-niche factor analysis: how to compute habitat-suitability maps without absence data?. Ecology. Wiley Online Library. 83(7): 2027-2036.
  13. Hsu A. 2016. 2016 Environmental Performance Index. Yale Center for Environmental Law & Policy.
  14. Huberty CJ. 1994. Applied discriminant analysis.
  15. Huntley B․Berry PM․Cramer W and McDonald AP. 1995. Special paper: modelling present and potential future ranges of some European higher plants using climate response surfaces. Journal of Biogeography. JSTOR: 967-1001.
  16. IPCC. 2014. Climate Change 2014: Mitigation of Climate Change. Summary for Policymakers and Technical Summary, Part of the Working Group III Contribution to the Fifth Assessment Report of the Intergovern- mental Panel on Climate Change.
  17. Kanagaraj R․Wiegand․Thorsten․Mohamed․ Azlan and Kramer-Schadt S. 2013. Modelling species distributions to map the road towards carnivore conservation in the tropics, Raffles Bulletin of Zoology. Black- well Publishing Ltd, 3(SUPPL.28): 85-107.
  18. Kayama M․Makoto K․Nomura M․Sasa K and Koike T. 2009. Growth characteristics of Sakhalin spruce (Picea glehnii) planted on the northern Japanese hillsides exposed to strong winds, Trees. Springer. 23(1): 145157.
  19. Lee WT. 1996. Lineamenta florae koreae. Seoul. Academy press. (in Koeran)
  20. Lee YN. 2000. Alpine flowers of korea. Kyohak press. (in Koeran)
  21. Lim JH․Shin JH․Lee DK and Suh SJ. 2006. Climate Change Impacts on Forest Ecosystems: Research Status and Challenges in Korea. Korean Journal of Agricultural and Forest Meteorology 8(3): 199-207. (in Koeran)
  22. Khosravi R․Hemami MR․Malekian M․Flint AL and Flint LE. 2016. Maxent modeling for predicting potential distribution of goitered gazelle in central Iran: The effect of extent and grain size on performance of the model, Turkish Journal of Zoology, 40(4): 574-585. https://doi.org/10.3906/zoo-1505-38
  23. Loarie SR․Carter BE․Hayhoe K․McMahon S․Moe R․Knight CA and Ackerly DD. 2008. Climate Change and the Future of Califor- nia's Endemic Flora, PLoS ONE. Edited by C. R. McClain. Public Library of Science, 3(6): e2502.
  24. Lobo, JM․Jimnez-valverde A and Real R. 2008. AUC: A misleading measure of the performance of predictive distribution models. Global Ecology and Biogeography. 17(2): 145-151. https://doi.org/10.1111/j.1466-8238.2007.00358.x
  25. Lobo JM and Tognelli MF. 2011. Exploring the effects of quantity and location of pseudo- absences and sampling biases on the performance of distribution models with limited point occurrence data. Journal for Nature Conservation. Elsevier GmbH., 19(1), pp. 17.
  26. Kong WS. 1998. The Distributional Patterns of Alpine Plants of Mt. Halla, Cheju Island, Korea. Journal of the Korean Geographical Society. 33(2): 191-208. (in Koeran)
  27. Kong WS. 2002. Biogeographic Feature of North Korean Ecosystem. Journal of Environmental Impact Assessment 11(3): 157-172. (in Koeran)
  28. Kong WS. 2004. Species Composition and Distribution of Native Korean Conifers. Journal of the Korean Geographical Society 39(4): 528-543 (in Koeran)
  29. Koo KA․Park WK and Kong WS. 2001. Dendrochronological Analysis of Abies koreana W. at Mt. Halla , Korea - Effects of Climate Change on the Growths. Journal of Ecology and Environment 24(5): 281-288. (in Koeran)
  30. Korea National Arboretum. 2010. 300 Target Plants Adaptatable to Climate Change in the Korean Peninsula. (in Koeran)
  31. Korea National Arboretum. 2014. Forest of Korea(I) (in Koeran)
  32. Nilsson J․Persson B and von Heijne G. 2000. Consensus predictions of membrane protein topology. FEBS letters. Wiley Online Library, 486(3): 267-269. https://doi.org/10.1016/S0014-5793(00)02321-8
  33. Pearson RG. and Dawson TP. 2003. Predicting the impacts of climate change on the distribution of species: Are bioclimate envelope models useful?. Global Ecology and Biogeography. 12(5): 361-371. https://doi.org/10.1046/j.1466-822X.2003.00042.x
  34. Ran F․Arajo ZX․Zhang Y․Korpelainen H and Li C. 2013. Altitudinal variation in growth, photosynthetic capacity and water use efficiency of Abies faxoniana Rehd. et Wils. seedlings as revealed by reciprocal transplantations, Trees. Springer. 27(5): 1405-1416. https://doi.org/10.1007/s00468-013-0888-7
  35. Sanders F. 1963. On subjective probability forecasting. Journal of Applied Meteorology. 2(2): 191-201. https://doi.org/10.1175/1520-0450(1963)002<0191:OSPF>2.0.CO;2
  36. Segurado P and Arajo MB. 2004. An evaluation of methods for modelling species distributions. Journal of Biogeography. Blackwell Science Ltd. 31(10): 1555-1568. https://doi.org/10.1111/j.1365-2699.2004.01076.x
  37. Sinclair S․White M and Newell G. 2010. How useful are species distribution models for managing biodiversity under future climates?. Ecology and Society. The Resilience Alliance. 15(1).
  38. Smithson PA. 2002. IPCC, 2001: climate change 2001: the scientific basis. Contribution of Working Group 1 to the Third Assessment Report of the Intergovernmental Panel on Climate Change, edited by JT Houghton, Y. Ding, DJ Griggs, M. Noguer, PJ van der Linden, X. Dai, K. Mas, International Journal of Climatology. Wiley Online Library. 22(9): 1144.
  39. Song WK․Kim EY․Lee DK․Lee MG and Jeon SW. 2013. The sensitivity of species distribution modeling to scale differences. Ecological Modelling. 248: 113-118. https://doi.org/10.1016/j.ecolmodel.2012.09.012
  40. Sun YB. 2007. Pinaceae in the genera of vascular plants of Korea. flora of Korean Editorial committee. Academy press. p.119. (in Koeran)
  41. Thomas CD․Cameron A․Green RE․ Bakkenes M․Beaumont LJ․Collingham YC․Erasmus BFN․de Siqueira MF․ Grainger A․Hannah L․Hughes L․ Huntley B․van Jaarsveld AS․Midgley GF Miles L․Ortega-Huerta MA․Peterson AT Phillips OL and Williams SE. 2004. Extinction risk from climate change. Nature. 427(6970): 1458.
  42. Thuiller W. 2003. BIOMOD - Optimizing predictions of species distributions and projecting potential future shifts under global change. Global Change Biology. Blackwell Science Ltd. 9(10): 1353-1362. https://doi.org/10.1046/j.1365-2486.2003.00666.x
  43. Thuiller W․Lavorel S․Arajo MB․Sykes MT and Prentice IC. 2005. Climate change threats to plant diversity in Europe, Proceedings of the National Academy of Sciences of the united States of America. National Acad Sciences. 102(23): 8245-8250.
  44. Warren DL․Glor RE and Turelli M. 2010. ENMTools: A toolbox for comparative studies of environmental niche models. Ecography. 33(3): 607-611. https://doi.org/10.1111/j.1600-0587.2009.06142.x
  45. Willis JC and Shaw HKA. 1973. A dictionary of the flowering plants and ferns. CUP Archive.
  46. Wilson EH. 1920. Four new conifers from Korea. Journal of the Arnold Arboretum 1(3): 186-190.
  47. Xiang X․Cao M and Zhou Z. 2007. Fossil history and modern distribution of the genus Abies(Pinaceae). Frontiers of Forestry in China. 2(4): 355-365. https://doi.org/10.1007/s11461-007-0058-4
  48. Zimmermann NE․Edwards TC․Graham CH ․ Pearman PB and Svenning JC. 2010. New trends in species distribution modelling. Ecography. 33(6): 985-989. https://doi.org/10.1111/j.1600-0587.2010.06953.x

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