Vegetation Science
Online ISSN : 2189-4809
Print ISSN : 1342-2448
ISSN-L : 1342-2448
Prediction and mapping of cover degree of dwarf bamboo understory by using the GIS and classification tree
Seiya ABEMakoto NASHIMOTORikyu MATSUKIToru TAKEUCHITakashi ISHII
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JOURNAL FREE ACCESS

2005 Volume 22 Issue 2 Pages 103-111

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Abstract

Information on understory vegetation is important for evaluating a terrestrial ecosystem and animal behavior. In recent years, various statistical methods have been developed for predicting vegetation or animal habitat from a geographical database. However, there have been few studies that examine understory vegetation with predictive mapping; hence, we attempt to construct a predictive model for the understory cover degree of dwarf bamboo and a predictive map from the GIS database in the home range of the golden eagles on Mt. Akita-Komagatake. Canopy dominant species roughly correspond to the degree of understory coverage of dwarf bamboo; however, certain dominant species show statistically insignificant data and are randomly distributed in comparison to the data of the degree of dwarf bamboo cover. The result of the classification tree shows that the canopy dominant species, canopy height, and topographic illumination value at the summer solstice were the main factors affecting understory dwarf bamboo; the discriminant accuracy of the model was approximately 76.3%. By using this model, the map of the cover degree of dwarf bamboo understory was easily constructed from the GIS database. In summary, the dwarf bamboo understory map can be constructed by the GIS database and it indirectly indicates the understory light environment.

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© 2005 The Society of Vegetation Science
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