The effects of introduced goats on the ecosystem of Uotsuri-jima, Senkaku Islands, Japan, as assessed by remote-sensing techniques

Access this Article

Search this Article


    • Yokohata Yasushi
    • Laboratory of Environmental Biology, Faculty of Education, Toyama University
    • Ikeda Yukio
    • Laboratory of Environmental Biology, Faculty of Education, Toyama University|Present address: Hi2 Company Limited
    • Yokota Masatsugu
    • Laboratory of Ecology and Systematics, Faculty of Science, University of the Ryukyus
    • Ishizaki Hideharu
    • Division of Environmental Resource, Graduate School of Agriculture, Hokkaido University


The ecosystem of Uotsuri-jima, one of the islands in the Senkaku Archipelago, off southwestern Japan, has probably been devastated by a dramatic increase in goats (<i>Capra aegarus</i>) since their deliberate introduction in 1978. Because the Senkaku Islands are claimed as national territory by China, Taiwan, and Japan, scientific researchers have been unable to land on Uotsuri-jima, nor have there been opportunities to eradicate the goats there. The effects of the goats on the vegetation of the island were assessed therefore using remote-sensing techniques: aerial photographs, Landsat satellite images, and an IKONOS satellite image. The results showed that bare patches have emerged in several areas, and that particular floral communities on the raised coral reefs may have already been lost. Since the flora of the sub-canopy layers are not visible beneath the dense forest canopy that covers most of the island, using current remote-sensing methods, very little is known about the extent of damage to the flora of these layers. Land-based surveys are thus urgently required to assess the condition of the flora and to control the introduced goats.


  • Biosphere conservation : for nature, wildlife, and humans

    Biosphere conservation : for nature, wildlife, and humans 5(1), 39-46, 2003

    Association of Wildlife and Human Society

References:  38

Cited by:  1


  • NII Article ID (NAID)
  • Text Lang
  • Article Type
    Journal Article
  • ISSN
  • Data Source
Page Top