MULTIGENERATIONAL CONNECTIVITY ANALYSIS OF EELGRASS HABITATS IN THE SETO INLAND SEA BASED ON A MARKOV CHAIN

DOI Web Site 9 References
  • UBARA Motoki
    兵庫県 但馬県民局豊岡土木事務所河川砂防課
  • UCHIYAMA Yusuke
    神戸大学 大学院工学研究科市民工学専攻
  • KOSAKO Taichi
    （国研）海上・港湾・航空技術研究所 港湾空港技術研究所 沿岸環境研究領域沿岸土砂管理研究グループ
  • HOSOKAWA Shinya
    （国研）海上・港湾・航空技術研究所 港湾空港技術研究所 海洋環境制御システム研究領域海洋環境情報研究グループ

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Other Title
  • マルコフ連鎖に基づく瀬戸内海アマモ場の多世代コネクティビティ解析

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<p> Towards sustainable conservation of eelgrass (Zostera marina) habitats in the Seto Inland Sea (SIS), a long-term numerical reanalysis was conducted with a high-resolution ocean circulation model coupled with a floating buoyant eelgrass shoot (viz., seed) transport model. A Lagrangian analysis quantitatively evaluated the population connectivity among eelgrass habitats considering their overgrown areas. A multigenerational connectivity evaluation model was then formulated based on Markov chains to investigate extensive, inter-basin shoot exchange among perennial eelgrass in the SIS over a period of nine years (nine generations). Although self-recruitment within the interior of the subbasins (bay and sea/nada) is predominant in a single year (one generation) connectivity, eelgrass shoots were found to pass over the straits and to expand their habitats to remote areas across generations. On the other hand, the Kurushima Strait plays a pivotal role in lateral shoot transport, segmenting the eelgrass habitats in the SIS zonally into two parts.</p>

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