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Estimation Technique for Horizontal Distribution of Coral

  • Akiyuki UkaiEmail author
  • Tomokazu Murakami
  • Akira Mizutani
  • Kouta Nakase
  • Shinya Shimokawa
  • Hiroyoshi Kohno
Chapter
Part of the Springer Oceanography book series (SPRINGEROCEAN)

Abstract

Amitori Bay, located in northwestern Iriomote Island, is characterized by its varied physical environments such as geographical features, wave height, and current in spite of its small size. It also exhibits a diverse distribution of coral reefs in response. Physical data acquired through numerical analysis, although including errors from actual measurements, provide much information by being interpolated spatially and are useful for the understanding of phenomena. However, the spatial distribution of corals is difficult to estimate using an ecosystem model because the coral ecology has numerous and important unknown characteristics. We have proposed a new technique for estimation of the horizontal distribution of coral coverage based on the relevance between coral coverage and physical data. We have conducted estimation of horizontal distribution of coral in Amitori Bay in this study. A technique using a piecewise linear function with artificial intelligence as the analytic method has yielded excellent results compared to those of multiple regression analysis.

Keywords

Amitori Bay Coral distributions Distribution of coral coverage Numerical simulation Genetic algorithm 

Notes

Acknowledgements

We thank the staff of Tokai University, Mr. Kazuho Hiroshima and Ms. Naho Tanaka of Tokai University graduates 2011 for their help.

References

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • Akiyuki Ukai
    • 1
    Email author
  • Tomokazu Murakami
    • 2
  • Akira Mizutani
    • 3
  • Kouta Nakase
    • 1
  • Shinya Shimokawa
    • 2
  • Hiroyoshi Kohno
    • 3
  1. 1.Environment Business DivisionPenta-Ocean Construction Co., Ltd.TokyoJapan
  2. 2.Storm, Flood and Landslide Research DivisionNational Research Institute for Earth Science and Disaster ResilienceTsukubaJapan
  3. 3.Okinawa Regional Research CenterTokai UniversityYaeyamaJapan

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