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Carbon and Nitrogen Distribution of Tree Components in Larix kaempferi Carriere and Quercus variabilis Blume Stands in Gyeongnam Province 원문보기

한국산림과학회지 = Journal of korean society of forest science, v.108 no.2, 2019년, pp.139 - 146  

Kim, Choonsig (Department of Forest Resources, Gyeongnam National University of Science and Technology)

Abstract AI-Helper 아이콘AI-Helper

This study was conducted to determine the carbon (C) and nitrogen (N) distribution within tree components (i.e., stem, branches, leaves, and roots) of the Japanese larch (Larix kaempferi Carriere) plantation and natural oriental cork oak (Quercus variabilis Blume) stands. Fifteen Japanese larch and ...

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문제 정의

  • , 2017), no studies are available to predict tree C and N stocks in Japanese larch plantations and oriental oak stands. This study was aimed to compare the C and N distribution of different tree components of Japanese larch and oriental oak stands in Gyeongnam Province.
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참고문헌 (24)

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  2. Balboa-Murias, M.A., Rojo, A., Alvarez, J.G. and Merino, A. 2006. Carbon and nutrient stocks in mature Quercus robur L. stands in NW Spain. Annals of Forest Science 63: 557-565. 

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  7. Garcia Villacorta, A.M., Martin, T.A., Jokela, E.J., Cropper Jr, W.P. and Gezan, S.A. 2015. Variation in biomass distribution and nutrient content in loblolly pine (Pinus taeda L.) clones having contrasting crown architecture and growth efficiency. Forest Ecology and Management 342: 84-92. 

  8. Hunt, S.L., Gordon, A.M. and Morris, D.M. 2010. Carbon stocks in managed conifer forests in Northern Ontario, Canada. Silva Fennica 44: 563-582. 

  9. Kim, C. 1999. Aboveground nutrient distribution in Pitch pine (Pinus rigida) and Japanese larch (Larix leptolepis) plantations. Journal of Korean Forestry Society 88 (2): 266-272. 

  10. Kim, C., Yoo, B.O., Jung, S.Y. and Lee, K.S. 2017. Allometric equations to asses biomass, carbon and nitrogen content of black pine and red pine trees in southern Korea. iForest 10: 484-490. 

  11. Korea Forest Research Institute. 2010. Survey Manual for Biomass and Soil Carbon. pp. 60. 

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  13. Lee, S.K., Son, Y., Noh, N.J., Yoon, T.K., Lee, A.R., Seo, K.W., Hwang, J. and Bae, S.W. 2009. Carbon storage of pure and mixed pine-deciduous oak forests in Gwangneung, Central Korea. Journal of Ecology and Field Biology 32 (4): 237-247. 

  14. Martin, A.R. and Thomas, S.C. 2013. Size-dependent changes in leaf and wood chemical traits in two Caribbean rainforest trees. Tree Physiology 33 (12): 1338-1353. 

  15. Martin, A.R., Gezahegn, S. and Thomas, S.C. 2015. Variation in carbon and nitrogen concentration among major woody tissue types in temperate trees. Canadian Journal of Forest Research 45: 744-757. 

  16. Meerts, P. 2002. Mineral nutrient concentrations in sapwood and heartwood: a literature review. Annals of Forest Science 59: 713-722. 

  17. Noh, N.J., Kim, C., Bae, S.W., Lee, W.K., Yoon, T.K., Muraoka, H. and Son, Y. 2013. Carbon and nitrogen dynamics in a Pinus densiflora forest with low and high stand densities. Journal of Plant Ecology 6: 368-379. 

  18. Pare, D., Bernier, P., Lafleur, B., Titus, B.D., Thiffault, E., Maynard, D.G. and Guo, X. 2013. Estimating stand-scale biomass, nutrient contents, and associated uncertainties for tree species of Canadian forests. Canadian Journal of Forest Research 43: 599-608. 

  19. SAS Institute Inc. 2003. SAS/STAT Statistical Software. Version 9.1 SAS publishing Cary, NC. 

  20. Socha, J. and Wezyk, P. 2007. Allometric equations for estimating the foliage biomass of Scots pine. European Journal of Forest Research 126: 263-270. 

  21. Tang, Z., Xu, W., Zhou, G., Bai, Y., Li, J., Tang, X., Chen, D., Liu, Q., Ma, W., Xiong, G., He, H., He, N., Guo, Q., Zhu, J., Han, W., Hu, H., Fang, J. and Xie, Z. 2018. Patterns of carbon, nitrogen, and phosphorus concentration in relation to productivity in China's terrestrial ecosystems. PNAS 115 (16): 4033-3038. 

  22. Temesgen, H., Affleck, D., Poudel, K., Gray, A. and Sessions, J. 2015. A review of the challenges and opportunities in estimating above ground forest biomass using tree-level models. Scandinavian Journal of Forest Research 30: 326-335. 

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