Abstract
The habitat characteristics of Torreya were investigated based on high resolution DEM and remote sensing image. The distribution of Torreya was mapped by visual interpretation of IKONOS image. The landform and PCA analysis results showed that curvature, altitude, aspect and slope were found to be the dominant features controlling spatial distribution pattern of Torreya. A certain degree moisture related variables were proved to be the most important parameters to explain Torreya habitats preferences. The preferable habitat requirement for Torreya focused on those concave and southwest hillsides with elevation between 400 and 600 m and slope less than 30°.
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A. Leduc, P. Drapeau, Y. Bergeron,. Study of spatial components of forest cover using partial Mantel tests and path analysis, Journal of Vegetation Science, 1992, 3: 69–78
B. Hoersch, G. Braunb, U. Schmidt. Relation between landform and vegetation in alpine regions of Wallis, Switzerland. A multiscale remote sensing and GIS approach, Computers. Environment and Urban Systems, 2002, 26: 113–139
F. W. Davis, S. Goetz. Modelling vegetation pattern using digital terrain data, Landscape Ecology, 1990, 4: 69–80
Fu YuLu, Zhang Xian Yang, Huang YueFu. Relationship analysis between production of Chinese Torreya and meteorologic factors, Shanghai Agricultural Science and Technology, 1999 (1): 69–70 (in Chinese)
Han NingLin, Wang Donghui. Cultivation Techniques of Torreya, China Agriculture Press, Beijing, 2006 (in Chinese)
I.D. Moore, R.B. Grayson, A.R. Ladson. Digital terrain modelling: a review of hydrological, geomorphologicai, and biological applications, Hydrologic Process, 1991, 5: 3–30
L. Claessens, P.H. Verburg, J.M. Schoorl,. Contribution of topographically based landslide hazard modelling to the analysis of the spatial distribution and ecology of kauri (Agathis australis), Landscape Ecology, 2006, 21: 63–76
Li Zhangju, Cheng Xiaojian, Dai Wensheng, et al. Origin of Torreya grandis ‘Merrillii’, Journal of Zhejiang Forestry College, 2005, 22: 443–448 (in Chinese)
Liu Quan, Liu Hai. Studies on Pattern Recognition of Favourable Ecological Regions of Chinese Torreys, Journal of Zhejiang Forestry College, 1993, 10(2): 122–156 (in Chinese)
M.C. Garcia, M.A. Ortiz, J.J. Zamorano,. Vegetation and landform relationships at Ajusco volcano Mexico, using a geographic information system (GIS), Forest Ecology and Management, 2007, 239: 1–12.
Meng Hongfei, Jin Guolong, Weng Zhongyuan. Investigation on resource of ancient Torreya grandis trees in Zhuji City, China, Journal of Zhejiang Forestry College, 2003, 20(2): 134–136 (in Chinese)
PCI Geomatics. OrthoEngine reference manual, PCI Geomatics, Ontario, 1998
R. Kalliola, K. Syrjänen. To what extent are vegetation types visible in satellite imagery? Annales Botanici Fennici, 1991, 28, 45–57
Ren Qinliang. An investigation of injury of Torreya Grandis seedlings occurring in dry hot season, Subtropical Forest Science and Technology, 1984(2): 52–53 (in Chinese)
Ren Qinliang. Biologic features of Chinese Torreya (Torreya Grandis), Economic Forest Researches, 1989, 7(2): 56–60 (in Chinese)
S. Tatsuhara, Y. Antatsu. Predicting the spatial distribution of the abundance of Siebold's beech in a montane cool-temperate region based on environmental factors. Journal of Forestry Research, 2007, 12: 442–451
Wu Jungen, Liu Yu. High Yield Technology Question-answering of Chinese Torreya and Hickory, Beijing: China Meteorological Press, 1994 (in Chinese)
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Wang, X., Wang, K., Ao, W., Deng, J. (2009). Dem-Based Study of Habitat Characteristics of Torreya Fengqiao in Kuaiji Mountain, China. In: Li, D., Zhao, C. (eds) Computer and Computing Technologies in Agriculture II, Volume 1. CCTA 2008. IFIP Advances in Information and Communication Technology, vol 293. Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-0209-2_18
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DOI: https://doi.org/10.1007/978-1-4419-0209-2_18
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