沿岸域における珪藻遺骸群集と化石群 : 大村湾におけるセディメント・トラップ実験結果
書誌事項
- タイトル別名
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- Diatom Flora in Sinking Particles and Coastal Marine Sediments, Examined by Sediment Trap Method in Omura Bay, Western Japan
- エンガンイキ ニオケル ケイソウ イガイ グンシュウ ト カセキグン オオムラワン ニオケル セディメント トラップ ジッケン ケッカ
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説明
Time series samples were collected by sediment trap at Nagayo-ura in Omura Bay, western Japan from June 1998 to June 1999. Diatom flora in these trap samples and surface sediments taken beneath the sediment trap were analyzed and compared each other for investigating taphonomic changes of diatom frustules. The diatom flora in the trap samples was mostly composed of marine planktonic taxa, so they were presumed to be autochthonous remains. On the other hand, benthic diatoms with no pigments in their frustules from the sediment samples were considered to be allochthonous remains transported by bottom water currents. Then annual fluxes of marine planktonic diatoms were derived from both of the trap and the sediment. The resulting fluxes in the sediment samples were much smaller than the annual sinking flux calculated from the trap samples. This investigation suggests major decrease of the frustules possibly occurred at boundary zone of seawater and surface sediments. The preservation rate(annual flux from the surface sediment sample/ annual flux from the trap sample) was estimated 2.8% for total marine planktonic diatoms, and varied among each taxon from less than 0.1% to 16.5. So the abundance and composition of the fossilized flora in the sediments are much different from the original one which lived in surface water. Therefore, we should consider taphonomic loss of diatom frustules to quantify past diatom productivity and interpret paleoecological information from diatom records in sediments.
収録刊行物
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- Laguna : 汽水域研究
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Laguna : 汽水域研究 7 53-60, 2000-03
島根大学汽水域研究センター
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キーワード
詳細情報 詳細情報について
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- CRID
- 1050564288437367552
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- NII書誌ID
- AN10439529
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- ISSN
- 21852995
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- Web Site
- http://ir.lib.shimane-u.ac.jp/3077
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- 本文言語コード
- ja
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- 資料種別
- departmental bulletin paper
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- データソース種別
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- IRDB