作 者：
陈峰;雷林;毛志华;陈新军;李纲;高峰;官文江
单 位：
国家海洋局第二海洋研究所;上海海洋大学海洋科学学院
关键词：
鲐鱼;栖息地指数;东海;海洋遥感;水质;渔情预报
摘 要：
根据2007~2009年7~9月渔汛期间我国鲐鱼灯光围网在东海的生产数据,利用海表温、叶绿素浓度、悬浮物浓度和透明度等遥感水质数据,分别将作业网次比例和单网次产量(CPUE)作为适应性指数,利用算术平均数(AM)和几何平均数(GM)分别建立基于海表温、叶绿素浓度、悬浮物浓度和透明度的综合栖息地指数模型。结果表明,AM栖息地指数模型和GM栖息地指数模型拟合效果较好(P<0.01),在HSI大于0.5的海域,2007~2009年7~9月平均作业网次比例在65%以上,各月平均CPUE均高于19.82 t/net。研究认为,AM模型稍优于GM模型。利用2010年7~9月生产数据及遥感水质数据对AM模型进行验证,分析认为,87%以上的作业网次和产量分布在HSI高于0.5的海域,CPUE为14~17 t/net,且较稳定,波动较小。研究认为,基于遥感水质数据的AM栖息地指数模型能较好地预测东海鲐鱼渔场。
译 名：
Fishery Forecasting for Chub Mackerel( Scomber japonicus ) in Summer in the East China Sea Based on Water Quality from Remote Sensing
作 者：
CHEN Feng1,LEI Lin1,2,3,MAO Zhi-hua4,CHEN Xin-jun1,2,3,LI Gang1,2,3,GAO Feng1,2,3,GUAN Wen-jiang1,2,3(1.College of Marine Sciences,Shanghai Ocean University,Shanghai 201306,China;2.The Key Laboratory of Shanghai Education Commission for Oceanic Fisheries Resources Exploitation,Shanghai Ocean University,Shanghai 201306,China;3.The Key Laboratory of Sustainable Exploitation of Oceanic Fisheries Resources,Shanghai Ocean University,Ministry of Education,Shanghai 201306,China;4.Second Institute of Oceanography,State Oceanic Administration;Hangzhou 310012,China)
关键词：
Scomber japonicus;Habitat Suitability Index;the East China Sea;Remote Sensing;Water Quality;Fishery Forecasting
摘 要：
More and more attention has been paid to the Chub mackerel(Scomber japonicus) as a pelagic species in the East China Sea due to large fluctuations in abundance of this stock.Using Chinese light-purse seine fishing production during the main fishing season(July to September) from 2007 to 2009 in the East China Sea,the present study separately takes the percentage of fishing nets and catch per net(CPUE) as the suitable index based on sea surface temperature(SST),chlorophyll-a concentration(Chl-a),suspended sediment concentration(SSC) and seechi disk depth(SDD) as the water quality data from remote sensing.Using arithmetic mean model(AM) and geometric mean model(GM),the integrated habitat suitability index(HSI) is established based on SST,Chl-a,SSC and SDD.The results indicate that both AM model and GM model fit better(P<0.01).In the waters with HSI value greater than 0.5,the percentage of fishing nets obtained is greater than 65% and the average monthly catch per net is above 19.82t/net,however,implying that the AM model should be slightly better than the GM model in predicting the central fishing ground of Chub mackerel.The AM model is validated by the catch data from July to September in 2010 and water quality data from remote sensing,it is found that the main fishing ground of Chub mackerel distributed in the areas with HSI greater than 0.5 in the AM model,and the percentage of fishing nets and catch reached more than 87% and its corresponding CPUE ranges from 14t/net to 17t/net,which is stable with small fluctuation.The results show that the AM HSI model based on the water quality data from remote sensing can better predict the fishing ground of Chub mackerel in the East China Sea.
