한국환경복원기술학회지 (Journal of the Korean Society of Environmental Restoration Technology)

  • 제25권2호
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  • Pages.39-53
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  • 2022
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  • 1229-3032(pISSN)
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  • 2733-5011(eISSN)
한국환경복원기술학회 (The Korea Society of Environmental Restoration Technology)
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LANDIS-II를 활용한 대청댐 유역 식생천이 예측

Prediction of Forest Succession in Daecheong Dam River Basin Area Using LANDIS-II

  • 문건수 (충남대학교 농업생명과학대학 산림환경자원학과) ;
  • 김성열 ((주)엔필드) ;
  • 송원경 (단국대학교 환경원예.조경학부) ;
  • 최재용 (충남대학교 농업생명과학대학 산림환경자원학과)
  • Moon, Geon-Soo (Department of Environment & Forest Resources, Chungnam National University) ;
  • Kim, Sung-Yeol (Enfield Co.) ;
  • Song, Won-Kyong (School of Environmental Horticulture and Landscape Architecture, Dankook University) ;
  • Choi, Jaeyong (Department of Environment & Forest Resources, Chungnam National University)
  • 투고 : 2022.03.16
  • 심사 : 2022.04.18
  • 발행 : 2022.04.29
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초록

The purpose of this study is to find out the applicability of LANDIS-II model to Korea. The case study was carried out in Daecheong Dam basin. In order to operate the model, a total of 63,107 cells of 100x100m unit were constructed, each cell consists of ecoregion map, initial communities map, plant physiological data, and climate change prediction data using SSP2-4.5 scenario. Forest distributions of year 2050 and 2100 were predicted by distribution intensity and interference among trees based on field surveys of 147 points in 2020. As a result, trees of decreased distribution area in the future are in the order of Quercus mongolica, Pinus rigida, Pinus densiflora and Robinia pseudoacacia, which characterized vulnerable to the effects of climate change or artificially planted trees. While warm climate trees of Quercus variabilis, Quercus serrata, Quercus acutissima and Quercus aliana are predicted to increase their distribution area in the order. These results analyzed using the LANDIS-II model are consistent with the studies on potential natural vegetation and succession tendency in Korea. In conclusion, the applicability of LANDIS-II model in Korea is highly effective and it is also expected to serve as a scientific basis for determining forest policies on afforestation and restoration.

키워드

과제정보

본 연구는 산림청(한국임업진흥원) 산림과학기술 연구개발사업'(2022462B10-2224-0201)'의 지원에 의하여 이루어진 것입니다.

참고문헌

  1. Aber, J. D..S. V. Ollinger.C. A. Federer.P. B. Reich.M. L. Goulden.D. W. Kicklighter.J. M. Melillo and R. G. Lathrop. 1995. Predicting the effects of climate change on water yield and forest production in the northeastern United States. Climate Research 5: 207-222. https://doi.org/10.3354/cr005207
  2. An, J. Y. and B. B. Park. 2021. Effects of wood ash and N fertilization on soil chemical properties and growth of Zelkova serrata across soil types. Scientific reports 11: 14489. https://doi.org/10.1038/s41598-021-93805-5
  3. Byun DW.Lee HJ and Kim CH. 1998. Vegetation Pattern and Successional Sere in the Forest of Mt. Odae. The Korean Journal of Ecololgy 21(3): 283-290. (in Korean with English summary)
  4. Cho MS.Kwon KW.Kim GN and Woo SY. 2008. Chlorophyll Contents and Growth Performances of the Five Deciduous Hardwood species Growing under Different Shade Treatments. Korean Journal of Agricul- tural and Forest Meteorology 10(4): 149-157. (in Korean with English summary) https://doi.org/10.5532/KJAFM.2008.10.4.149
  5. Cho WH.Lim WT.Kim ES.Lim JH and Ko DW. 2020. Parameterization and Application of a Forest Landscape Model by Using National Forest Inventory and Long Term Ecological Research Data. Korean Journal of Agricultural and Forest Meteorology. 22(3): 215-231. (in Korean with English summary) https://doi.org/10.5532/KJAFM.2020.22.3.215
  6. Choi JH.Kwon KW and Cung JC. 2002. Effect of Artificial Shade Treatment on he Growth and Biomass Production of Several Deciduous Tree Species. Journal of the Korea Society of Environmental Restoration Technology 21(1): 65-75. (in Korean with English summary)
  7. Choi YE.Choi JY.Kim WM.Kim SY and Song WK. 2019. Long-term Effects on Forest Biomass under Climate Change Scenarios Using LANDIS-II. Journal of the Korea Society of Environmental Restoration Technology 22(5): 27-43. (in Korean with English summary)
  8. Choung HL.Chun YM and Lee HJ. 2006. Progressive Succession and Potential Natural Vegetation on the Forest Vegetation in and surrounding Daegu, Korea. Journal of Ecology and Environment 29(3): 265-275. (in Korean with English summary)
  9. Christensen, N. L. and R. K. Peet. 1984. Convergence During Secondary Forest Succesion. Journal of Ecology 72: 25-36. https://doi.org/10.2307/2260004
  10. Gustafson, E. J. and B. R. Miranda, 2021. PnETSuccession v4.0 Extention User Guide, US Forest Service Northern Research Station, pp.58-68.
  11. Gustafson, E. J..A. D. Bruijin.N. Lichti.D. F. Jacobs.R. S. Sturtevant.J. Foster.B. R. Miranda and H. J. Dalgleish. 2017. The implications of American chestnut reintroduction on landscape dynamics and carbon storage. Ecosphere 8(4): e01773.
  12. Gustafson, E. J..B. R. Sturtevan.A. Z. Schvidenko and R. M. Scheller. 2010. Using Landscape Disturbance and Succession Models to Support Forest Management(In Li, C..R. Lafortezza and J. Chen eds., "Landscape Ecology in Forest Management and Consevation-Challenges and Solutions for Global Change-"). Dordrecht: Springer. pp. 99-118.
  13. Han SS and Kim AS. 1989. Effects of Light, Temperature, and Water Stress on the Photosynthesis and Respiratin Rates of Leaves in Four Oak Species. Journal of Korean Society of Forest Science 78(2): 151-159. (in English)
  14. Horn, H. S. 1975. Forest Succession. Scientifie American 232(5): 90-101. https://doi.org/10.1038/scientificamerican0575-90
  15. IPCC(Intergovernmental Panel on Climate Change). 2021. Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change.
  16. Jang EJ and Kim JW. 2007. Ecology and Culture of the Old-Growth and Giant Trees of Traditional Village. Seoul: Worldscience press. (in Korean)
  17. Keane, R. E..L. M. Holsinger and S. D. Pratt. 2006. Simulating Historical Landscape Dynamics Using the Landscape Fire Succession Model LANDSUM version 4.0. United States Department of Agriculture, Forest Service.
  18. KFS(Korea Forest Service). 2005. Standard Manual for Sustainable Forest Resource Management. Seoul: National Institute of Forest Science. (in Korean)
  19. Kim CG.Park JH and Cho JP. 2018. Future Climate Change Impact Assessment of Chungju Dam Inflow Considering Selection of GCMs and Downscaling Technique. Journal of Climate Change Research 9(1): 47-58. (in Korean with English summary) https://doi.org/10.15531/ksccr.2018.9.1.47
  20. Kim, J. W. 1992. Vegetation of Northeast Asia: On the syntaxonomy and syngeography of the oak and beech forests. Ph.D. dissertation, University of Vienna.
  21. Kim JW. 2006. Vegetation Science(2nd ed.). Seoul: World Science. (in Korean)
  22. Kim JW. 2013. The Plant Book of Korea: Vol.1 Plants Living Close to the Village. Seoul: Natrue and Ecology. (in Korean)
  23. Kim SY. 2008. The Vegetation of Mt. Ap-san in Daegu. MS dissertation, Keimyung University. (in Korean with English summary)
  24. Kim SY.Moon GS.Song WK and Choi J. 2021. Syntaxonomy and Synecology of Quercus variabilis Forest in Daecheong-dam basin. Journal of the Korea Society of Environmental Restoration Technology 24(6): 15-34. (in Korean with English summary)
  25. Kim YH and Kim JW. 2017. Distributional Uniqueness of Deciduous Oaks(Quercus L.) in the Korean Peninsula. Journal of the Korea Society of Environmental Restoration Technology 20(2): 37-59. (in Korean with English summary) https://doi.org/10.13087/KOSERT.2017.20.2.37
  26. KNA(Korea National Arboretum). 2022. Korean Biodiversity Information System. http://www.nature.go.kr/main/Main.do/ (accessed 3. Mar. 2022)
  27. Kwon KW.Choi JH and Chung JC. 2000. Studies on the Shade Tolerance, Light Requirement, and Water Relations of Economic Tree Species(II) -Effects of Artifical Shade Treatment on the Water Potential and Stomatal Diffusive Resistance of Four Deciduous Hardwood Species-. Jour. Korean For. Soc. 89(2): 198-207. (in Korean with English summary)
  28. Larocque, G. R. 2016. Ecological Forest Management Handbook. CRC Press.
  29. Lee KJ. 2016. Tree Physiology 3rd edition (1993), Seoul: SNUPRESS. (in Korean)
  30. Lee KJ.Oh KK and Jeun YJ. 1988. Studies on the Vegetational Landscape Structure and Administration Planning of the Royal Tomb(I) - Successional Trends of Plant Community of Donggu Royal Tomb -. Journal of Korean Institute of landscape architecture 16(1): 13-26. (in Korean with English summary)
  31. Liu, Y..H. Tian.S. Liu.G. Li and X. Hu. 2021. Asymmetric effects between tree and understorey litters on mixed litter decomposition in temperate Quercus variabilis forest. Science of the Total Environment 806(2022): 150939.
  32. McNulty, S. G..J. M. Vose and W. T. Swank. 1996. Loblolly pine hydrology and productivity across the southern. Forest Ecology and Management 86: 241-251. https://doi.org/10.1016/S0378-1127(96)03744-9
  33. ME(Ministry of Environment). 2010. Prior Environmental Review System work manual. Department of Land and Environment Policy, Department of Nature Conservation. (in Korean)
  34. Mina, M..C. Messier.M. Duveneck.M. J. Fortin and N. Aquilue. 2021. Network analysis can guide resilience-based management in forest landscapes under global change. Ecological Applications 31(1): e02221.
  35. Moon GS.Kim SY.Park JS.Hassina U.Baek HJ and Choi J. 2022. Forest succession by space and time based on climate and landuse changes. XV World Forestry Congress. (in press)
  36. Oh HS.Lee GY and Kim JW. 2018. Syntaxonomical and Synecological Description on the Forest Vegetation of Juwangsan National Park, South Korea. Korean Journal of Environment and Ecology 32(1): 118-131. (in Korean with English summary) https://doi.org/10.13047/KJEE.2018.32.1.118
  37. Ohtsuka, A..L. Sack and H. Taneda. 2017. Bundle sheath lignification mediates the linkage of leaf hydraulics and venation. Plant Cell Environ. 20: 342-353.
  38. Qi, Y..G. Jin and Z. Liu. 2012. Optical and litter collection methods for measuring leaf area index in an old-growth temperate forest in northeastern China. Journal of Forest Research 18(5): 430-439. https://doi.org/10.1007/s10310-012-0370-1
  39. Scheller, R. M. and D. J. Maladenoff. 2004. A Forest Growth and Biomass Module for a Landscape Simulation Model, LANDIS: design, Validation, and Application. Ecological Modelling 180: 211-229. https://doi.org/10.1016/j.ecolmodel.2004.01.022
  40. Son YH.Hwang JW.Kim ZS.Lee WK and Kim JS. 2001. Allometry and biomass of Korean pine(Pinus koraiensis) in central Korea. Bioresource Technology 78(2001): 251-255. (in English) https://doi.org/10.1016/S0960-8524(01)00012-8
  41. Sturtevant, B. R..E. J. Gustafson.D. J. Mladenoff.J. Thompson.C. Dymond.M. Lucash and H. He. 2018. LANDIS-II Model v7.0 User Guide. Landis-ii.
  42. Suarez-Munoz, M..M. Mina.P. C. Salazar.R. M. Navarro-Cerrillo.J. L. Quero and F. J. Bonet-Garcia. 2021. A Step-by-Step Guide to Initialize and Calibrate Landscape Model: A case Study in the Mediterranean Mountains. Frontiers in Ecology and Evolution 2021: 209.
  43. Taylor, A. R..H. Y. H. Chen and L. VanDamme. 2009. A Review of Forest Succession Models and Their Suitability for Forest Management Planning. For. Sci. 55: 23-36.
  44. Yan, C. F..S. J. Han.Y. M. Zhou.C. G. Wang.G. H. Dai.W. F. Xiao and M. H. Li. 2012. Needle-Age Releted Variability in Nitrogen, Mobile Carbohydrates, and δ13 C within Pinus koraiensis Tree Crowns. Plos One 7(4): e35076. https://doi.org/10.1371/journal.pone.0035076
  45. Yang KC. 2001. Classification of Major Habitats Based on the Climatic Conditions and Topographic Features in Korea. Ph.D. dissertation, Chungang University. (in Korean with English summary)
  46. Yeu BM.Jang JW and Yun JH. 1994. A Study on Triangulated Irregular Network Generation Method for GSIS. Journal of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography 12(2): 209-218. (in Korean with English summary)
  47. Yim, Y. J. 1977. Distribution of Forest Vegetation and Climate in the Korean Peninsula, III. Distribution of Tree Species Along the Thermal Gradient. Japanese Journal of Ecology 27: 177-189.
  48. Wang, C..J. He.T. H. Zhao.Y. Cao.G. Wang.B. Sun.X. Yan.W. Guo and M. H. Li. 2019. The Smaller the Leaf is, the Faster the Leaf Water Loses in a Temperate Forest. Frontiers in Plant Science 10:58. https://doi.org/10.3389/fpls.2019.00058