Prediction and mapping of cover degree of dwarf bamboo understory by using the GIS and classification tree

• ABE Seiya

  Environmental Science Research Laboratory, Central Research Institute of Electric Power Industry

• NASHIMOTO Makoto

  Environmental Science Research Laboratory, Central Research Institute of Electric Power Industry

• MATSUKI Rikyu

  Environmental Science Research Laboratory, Central Research Institute of Electric Power Industry

• TAKEUCHI Toru

  Environmental Science Research Laboratory, Central Research Institute of Electric Power Industry

• ISHII Takashi

  Environmental Science Research Laboratory, Central Research Institute of Electric Power Industry

Bibliographic Information

Other Title

• GISと分類木を用いた林床ササ被覆度の予測と地図化
• GIS ト ブンルイ モク オ モチイタ リンショウ ササ ヒフクド ノ ヨソク ト チズカ

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.

Journal

• Vegetation Science

  Vegetation Science 22 (2), 103-111, 2005

  The Society of Vegetation Science

Keywords

• classification tree
• dwarf bamboo
• GIS
• phytosociological releve
• understory vegetation

Details

• CRID: 1390282679462188416
• NII Article ID: 110007522366
• NII Book ID: AA11347548
• DOI: 10.15031/vegsci.22.103
• ISSN: 21894809
• ISSN: 13422448
• NDL BIB ID: 7965604
• Web Site: https://ndlsearch.ndl.go.jp/books/R000000004-I7965604
• Text Lang: ja
• Data Source:
  • JaLC
  • NDL
  • CiNii Articles
  • KAKEN
• Abstract License Flag: Disallowed