机构地区:[1]上海海洋大学海洋科学学院,上海201306 [2]国家远洋渔业工程技术研究中心,上海201306 [3]大洋渔业资源可持续开发省部共建教育部重点实验室,上海201306 [4]远洋渔业协同创新中心,上海201306
出 处:《海洋渔业》2020年第5期533-541,共9页Marine Fisheries
基 金:2017年农业部海洋渔业资源调查与探捕项目(D-8006-17-0138)。
摘 要:利用中国灯光围网船"福远渔097"2017年9月20日至12月31日在毛里塔尼亚海域119个站点的调查数据,采用分位数回归的方法对随机选取的75%的站点数据建立短线竹[夹]鱼(Trachurus trecae)单位捕捞努力量渔获量(catch per unit effort,CPUE)与叶绿素a浓度、海表面温度、海表面盐度的关系模型。根据该模型,计算短线竹[夹]鱼的栖息地综合指数(integrated habitat index,IHI),并利用25%的站点数据,用Spearman相关系数结合双尾检验,检验其CPUE实测值与预测值之间的相关性,分析IHI与CPUE的关系。结果表明:1)海洋环境因子对短线竹[夹]鱼CPUE的影响程度为:海表面温度>叶绿素a浓度>海表面温度与叶绿素a浓度的交互作用,海表面盐度对其没有显著影响;2)建模站点和验证站点的CPUE预测值与实测值间均无显著性差异;3)IHI模型对CPUE具有良好的预测效果;4)IHI分布较高的海域为17°20′~17°45′W、20°15′~20°50′N。建议我国渔船在下半年作业时,作业范围应集中在这一IHI分布较高的海域,以提高渔获产量。Horse mackerel(Trachurus trecae)is an important commercial small pelagic species in waters near Mauritania.It is the dominant catch species of Chinese purse seiner fishing with light.To better understand the temporal and spatial distribution characteristics of Trachurus trecae in waters near Mauritania,to accurately predict the fishing condition,and to improve the operation efficiency of fishing boats in this sea area,the relationship model between catch per unit effort(CPUE)of Trachurus trecae and chlorophyll-a concentration,sea surface temperature and sea surface salinity were established by quantile regression method.Based on the records and data collected in 119 sites by Chinese purse seiner fishing with light Fuyuanyu 97 in waters near Mauritania from September 20 th,2017 to December 31 st,the data from 90 sites(75%)randomly selected were used to build the quantile regression model.By using this model,the integrated habitat index(IHI)of Trachurus trecae in waters near Mauritania were calculated.The data from the remaining 29 sites(25%)were used to verify the correlation between the observed CPUE and predicted CPUE,and the relationship between IHI index and CPUE was analyzed by Spearman correlation coefficient and two-tailed test.The statistic significance between the observed and predicted CPUEs of the modeling sites and validation sites were tested by Wilcoxon test.Results showed that:1)The sea surface temperature was the most important factor affecting CPUE of Trachurus trecae,followed by chlorophyll-a concentration and the interaction between sea surface temperature and chlorophyll-a concentration,sea surface salinity had no significant effect on it;2)There was no significant difference between the predicted CPUE and the actual observed CPUE of modeling sites or validation sites;3)Spearman correlation coefficient between the measured CPUE and predicted CPUE of 29 validation sites was 0.832,the predicted CPUE was highly relevant to measured CPUE,the quantile regression model was reliable.The integrated hab
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