論文

査読有り
2011年2月

Seasonal variation of bivalve larvae on an exposed sandy beach on Kashima-nada: Tips for the sandy beach recruitment process

JOURNAL OF SEA RESEARCH
  • Hideki Sawada
  • ,
  • Hajime Saito
  • ,
  • Kumiko Adachi
  • ,
  • Haruhiko Toyohara

65
2
開始ページ
275
終了ページ
283
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1016/j.seares.2010.12.003
出版者・発行元
ELSEVIER SCIENCE BV

Bivalves are often the dominant macrobenthos species in exposed sandy beach environments. However, our understanding of their recruitment processes before post-settlement stages on sandy beaches with highly energetic environments is incomplete. To clarify the characteristics of the free-swimming planktonic stage that affects recruitment efficiency in sandy shore ecosystems, we investigated the temporal (weekly-biweekly) variation of bivalve planktonic larval concentration coupled with oceanographic conditions on an exposed sandy shore on the sea of Kashima-nada. Japan, from summer 2003 to autumn 2005. Larvae were observed throughout the year, but the surge of larval concentration composed of sandy beach and sessile bivalves occurred most prominently in summer, from August to September. The peak concentration of larvae during this season was more than 1000 times higher than in other seasons. The larval concentration was positively correlated with water temperature and northward wind velocity and negatively correlated with each of the nutrient concentrations. On the other hand, chlorophyll a concentration and salinity seemed to have little effect on the larval concentration. Based on this fundamental knowledge, further investigations about planktonic larvae in sandy beaches are needed. (c) 2010 Elsevier B.V. All rights reserved.

リンク情報
DOI
https://doi.org/10.1016/j.seares.2010.12.003
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000288925600011&DestApp=WOS_CPL
ID情報
  • DOI : 10.1016/j.seares.2010.12.003
  • ISSN : 1385-1101
  • eISSN : 1873-1414
  • Web of Science ID : WOS:000288925600011

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