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분산 능력을 고려한 기후변화에 따른 붉가시나무의잠재서식지 분포변화 예측연구

Prediction of Potential Habitat of Japanese evergreen oak (Quercus acuta Thunb.) Considering Dispersal Ability Under Climate Change

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주제분류환경공학

초록

본 연구는 붉가시나무(Quercus acuta Thunb.)를 대상으로 기후변화의 영향을 평가함에 있어 분산능력을 고려해보고자 하였다. 기후변화에 따른 붉가시나무의 잠재서식지 변화를 예측하기 위하여 종의분포자료와 기후자료를 활용하여 종분포모형을 개발하였다. 종분포모형은 9개 알고리즘을 True Skill Statistic 평가 값 가중치로 합산하는 앙상블모형을 적용하여 불확실성을 줄이고자 하였다. 미래의 시간적범위는 2050년과 2070년을 대상으로 하였으며, 기후변화 시나리오는 RCP4.5와 RCP8.5를 선정 하였다. 최종적인 미래 잠재서식지는 현재 적합서식지에서 분산능력에 따라 분산가능한지의 여부를 고려하여 결정하였다. 분산능력은 제한이 없는 경우(Unlimited)와 거리에 따른 분산 확률 함수에 3가지 계수값 (θ = -0.005, θ = -0.001, θ = -0.0005)을 적용하여 R 패키지인 Migclim을 사용하여 구현하였다. 2050년RCP4.5 시나리오에서 계수값이 θ = -0.005일 때 붉가시나무의 잠재서식지가 감소하였다. 그 이외의 경우에는 분산능력이 낮은 경우에도 한반도 내의 잠재서식지가 늘어났다. 하지만 분산능력을 고려하였을 경우 붉가시나무의 미래 잠재서식지 확장에는 한계가 분명하게 나타났다. 따라서 기후변화에 따른 미래 잠재서식지 예측에 있어서 분산능력을 고려하는 것이 중요하다고 판단된다.

Abstract

This study was designed to predict potential habitat of Japanese evergreen oak (Quercus acuta Thunb.) in Korean Peninsula considering its dispersal ability under climate change. We used a species distribution model (SDM) based on the current species distribution and climatic variables. To reduce the uncertainty of the SDM, we applied nine single-model algorithms and the preevaluation weighted ensemble method. Two representative concentration pathways (RCP 4.5 and 8.5) were used to simulate the distribution of Japanese evergreen oak in 2050 and 2070. The final future potential habitat was determined by considering whether it will be dispersed from the current habitat. The dispersal ability was determined using the Migclim by applying three coefficient values (θ = -0.005, θ = -0.001 and θ = -0.0005) to the dispersal-limited function and unlimited case. All the projections revealed potential habitat of Japanese evergreen oak will be increased in Korean Peninsula except the RCP 4.5 in 2050. However, the future potential habitat of Japanese evergreen oak was found to be limited considering the dispersal ability of this species. Therefore, estimation of dispersal ability is required to understand the effect of climate change and habitat distribution of the species.

참고문헌 (70)

  1. 안윤정, "불확실성을 고려한 미래 잣나무의 서식 적지 분포 예측 - 종 분포 모형과 RCP시나리오를 중심으로 -", 한국환경복원기술학회지, 18(3), pp.51~64 (2015), 한국환경복원기술학회[DOI]
  2. 안중배, "21세기 한반도 기후변화 전망: WRF를 이용한 RCP 4.5와 8.5 시나리오 기온과 강수", 대기, 24(4), pp.541~554 (2014), 한국기상학회
  3. Allouche O, "Assessing the accuracy of species distribution models: prevalence, kappa and the true skill statistic (TSS)", Journal of applied ecology, 43(6), pp.1223~1232 (2006)[DOI]
  4. Araujo MB, "Five (or so) challenges for species distribution modelling", Journal of biogeography, 33(10), pp.1677~1688 (2006)[DOI]
  5. Araujo MB, "Reducing uncertainty in projections of extinction risk from climate change", Global ecology and Biogeography, 14(6), pp.529~538 (2005)[DOI]
  6. Araujo MB, "Climate warming and the decline of amphibians and reptiles in Europe", Journal of Biogeography, 33, pp.1712~1728 (2006)[DOI]
  7. Araujo MB, "Validation of species-climate impact models under climate change", Global Change Biol, 11, pp.1504~1513 (2005)[DOI]
  8. Barry S, "Error and uncertainty in habitat models", Journal of Applied Ecology, 43(3), pp.413~423 (2006)[DOI]
  9. Choi TB, "Genetic Structure and Diversity of Three Oak Species (Quercus, subgen. Cyclobalanopsis) in Korea and Conservation Strategy for Q. acuta Thunb. ex Murray", pp.2001
  10. 최태영, "설악산국립공원내 산양(Nemorhaedus Caudatus Raddeanus)의 잠재 서식지 적합성 모형; 다기준평가기법(MCE)과 퍼지집합(Fuzzy Set)의 도입을 통하여", 한국조경학회지, 32(4), pp.28~38 (2004), 한국조경학회
  11. Crossman ND, "Identifying priority areas for reducing species vulnerability to climate change", Diversity and Distributions, 18(1), pp.60~72 (2012)[DOI]
  12. Engler R, "21st century climate change threatens mountain flora unequally across Europe", Global Change Biology, 17(7), pp.2330~2341 (2011)[DOI]
  13. Engler R, "The MIGCLIM R package - seamless integration of dispersal constraints into projections of species distribution models", Ecography, 35(10), pp.872~878 (2012)[DOI]
  14. Franklin J, "Mapping species distributions: spatial inference and prediction" (2010), Cambridge University Press
  15. Grinnell J, "The origin and distribution of the chest-nut-backed chickadee", The Auk, 21(3), pp.364~382 (1904)[DOI]
  16. Heikkinen RK, "Methods and uncertainties in bioclimatic envelope modelling under climate change", Progress in Physical Geography, 30, pp.751~777 (2006)[DOI]
  17. Hijmans RJ, "Very high resolution interpolated climate surfaces for global land areas", International Journal of Climatology, 25, pp.1965~1978 (2005)[DOI]
  18. Climate Change 2001: Impacts, Adaptation, and Vulnerability: Contribution of Working Group II to the Third Assessment Report of the Intergovernmental Panel on Climate Change, "IPCC", ~ (2001)
  19. Climate Change 2007: The Physical Science Basis, Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change, "IPCC", 987~ (2007)
  20. Climate Change 2013: The Physical Science Basis, Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, "IPCC", 1535~ (2013)
  21. Jaeschke A, "Can they keep up with climate change?-Integrating specific dispersal abilities of protected Odonata in species distribution modelling", Insect Conservation and Diversity, 6(1), pp.93~103 (2013)[DOI]
  22. 강전호, "MODIS 자료를 이용한 한반도 지면피복 분류", 대기, 19(2), pp.169~182 (2009), 한국기상학회
  23. Kim WJ, "Development of Habitat Suitability Analysis Models for Wild Boar (Sus Scrofa): A Case Study of Mt. Sulak and Mt. Jumbong", Korea Spatial Information Society, 6(3), pp.247~256 (1998)
  24. 김용경, "기후변화에 따른 리기다소나무림의 잠재 생육적지 분포 변화 예측", 한국산림과학회지, 101(3), pp.509~516 (2012), 한국산림과학회
  25. Koo KA, "Potential climate change effects on tree distributions in the Korean Peninsula: Understanding model & climate uncertainties", Ecological Modelling, 353, pp.17~27 (2017)[DOI]
  26. Koo KA, "Potential effects of climate change on the distribution of cold-tolerant evergreen broadleaved woody plants in the korean peninsula", PloS one, 10(8), pp.e0134043~ (2015)[DOI]
  27. Korea National Arboretum, "Distribution maps of vascular plants of Korean peninsula I. South coast province" (2004)
  28. Korea National Arboretum, "Distribution maps of vascular plants of Korean peninsula II. South province (Jeollado & Jirisan)" (2005)
  29. Korea National Arboretum, "Distribution maps of vascular plants of Korean peninsula III. Central & South province (Chungcheong-do)" (2006)
  30. Korea National Arboretum, "Distribution maps of vascular plants of Korean peninsula IV. Central & south province (Gyeongsangbuk-do)" (2007)
  31. Korea National Arboretum, "Distribution maps of vascular plants of Korean peninsula V. Central province (Geonggi-do)" (2008)
  32. Korea National Arboretum, "Distribution maps of vascular plants of Korean peninsula VI. Central province (Gangwon-do)" (2009)
  33. Korea National Arboretum, "Distribution maps of vascular plants of Korean peninsula VII. South province (Gyeongsangnam-do) and Ulleung-do province" (2010)
  34. Korea National Arboretum, "Distribution maps of vascular plants of Korean peninsula VIII. Jeju-do province" (2010)
  35. Korea National Arboretum, "Distribution maps of vascular plants of Korean peninsula IX. West & South coast province" (2011)
  36. Kwon HS, "Integrated Evaluation Model of Biodiversity for Conservation Planning: Focused on Mt. Jiri, Mt. Deokyu and Mt. Gaya regions", pp.2011
  37. 권혁수, "종분포모형의 불확실성 확인을 위한 앙상블모형 적용", 대한공간정보학회지, 22(4), pp.47~52 (2014), 대한공간정보학회[DOI]
  38. 권혁수, "지리산 지역의 생물종 분포모형 구축 및 종풍부도 평가", 대한공간정보학회지, 20(3), pp.11~18 (2012), 대한공간정보학회[DOI]
  39. 이슬기, "GIS를 이용한 산림성 조류의 서식지 예측 모형 및 지도구축", 한국지리정보학회지, 13(1), pp.62~73 (2010), 한국지리정보학회
  40. 이정현, "상록활엽수 3종의 한반도분포 및 자생북한계지", 식물분류학회지, 40(4), pp.267~273 (2010), 한국식물분류학회
  41. Lee WC, "Standard Illustrations of Korean Plants", 624~ (1996)
  42. Lee WC, "Plant Geography", pp.412~ (2002), Kangwon National University Press
  43. Liu C, "Selecting thresholds of occurrence in the prediction of species distributions", Ecography, 28, pp.385~393 (2005)[DOI]
  44. Marmion M, "Evaluation of consensus methods in predictive species distribution modelling", Divers Distrib, 15(1), pp.59~69 (2009)[DOI]
  45. Midgley GF, "Migration rate limitations on climate change-induced range shifts in Cape Proteaceae", Diversity and Distributions, 12, pp.555~562 (2006)[DOI]
  46. 2.0.CO;2,
  47. Nakao K, "Assessing the impact of land use and climate change on the evergreen broad-leaved species of quercus acuta in japan", Plant Ecology, 212(2), pp.229~243 (2011)[DOI]
  48. National Geographic Information Institute, "The national atlas of Korea 2st Edition. Physical Geography", pp.107~ (2016)
  49. The second and third national ecosystem survey: 1997-2012, "National Institute for Environmental Research", National Institute of Environmental Research, ~ (2013)
  50. Ohashi H, "Identity of Quercus acuta Thunb. (Fagaceae) recorded from Taiwan and China", J. Jpn. Bot., 81, pp.173~187 (2006)
  51. 성효현, "세계유산의 등재기준(vii)의 적용 사례 분석과 잠정목록 상에 있는 한국 자연유산에의 적용 가능성 연구: 설악산을 중심으로", 대한지리학회지, 51(1), pp.1~21 (2016), 대한지리학회
  52. 박선욱, "기후변화에 따른 송악의 잠재서식지 분포 변화 예측", 한국기후변화학회지, 7(3), pp.325~334 (2016), 한국기후변화학회[DOI]
  53. 박선욱, "Climate-related range shifts of Ardisia japonica in the Korean Peninsula: a role of dispersal capacity", Journal of Ecology and Environment, 41(11), pp.310~317 (2017), 한국생태학회[DOI]
  54. Pearson RG, "Species' distribution modeling for conservation educators and practitioners. Synthesis", pp.50~ (2007)
  55. Peters DPC, "Strategies for ecological extrapolation", Oikos, 106(3), pp.627~636 (2004)[DOI]
  56. Pompe S, "Climate and land use change impacts on plant distributions in Germany", Biology Letters, 4(5), pp.564~567 (2008)[DOI]
  57. Portnoy S, "Seed dispersal curves: behavior of the tail of the distribution", Evolutionary Ecology, 7(1), pp.25~44 (1993)[DOI]
  58. Schimper AFW, "Plant-Geography upon a physiological basis. Trasl. WR fisher" (1903), Clarendon Press
  59. 서창완, "설악산 산양을 대상으로 한 야생동물 서식지 적합성 모형에 관한 연구", 한국환경복원기술학회지, 11(3), pp.28~38 (2008), 한국환경복원기술학회
  60. 신만석, "종풍부도와 세분화된 관리지역 비교 연구 - 보령시를 대상으로 -", 환경영향평가, 24(1), pp.35~50 (2015), 한국환경영향평가학회[DOI]
  61. 송원경, "고라니 서식지 분석을 위한 기계학습식 종분포모형 비교", 대한원격탐사학회지, 28(1), pp.171~180 (2012), 대한원격탐사학회
  62. Thorn JS, "Ecological niche modelling as a technique for assessing threats and setting conservation priorities for Asian slow lorises (Primates:Nycticebus)", Diversity and Distributions, 15(2), pp.289~298 (2009)[DOI]
  63. Thuiller W, "Predicting global change impacts on plant species' distributions: future challenges", Perspectives in plant ecology. evolution and systematics, 9(3-4), pp.137~152
  64. Thuiller W, "Biomod-a platform for ensemble forecasting of species distributions", Ecography, 32(3), pp.369~373 (2009)[DOI]
  65. Thuiller W, "BIOMOD-optimizing predictions of species distributions and projecting potential future shifts under global change", Global change biology, 9(10), pp.1353~1362 (2003)[DOI]
  66. 2.0.CO;2,
  67. Vittoz P., "Seed dispersal distances: a typology based on dispersal modes and plant traits", Botanica Helvetica, 117(2), pp.109~124 (2007)[DOI]
  68. Wenger SJ, "Probabilistic accounting of uncertainty in forecasts of species distributions under climate change", Global Change Biology, 19(11), pp.3343~3354 (2013)
  69. Yates CJ, "Assessing the impacts of climate change and land transformation on Banksia in the South West Australian Floristic Region", Diversity and Distributions, 16(1), pp.187~201 (2010)[DOI]
  70. 윤종학, "기후변화에 따른 한반도 난온대 상록활엽수의 잠재 생육지 변화 예측", 한국환경생태학회지, 25(4), pp.590~600 (2011), 한국환경생태학회

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