摘要
中东太平洋延绳钓渔业主要以钓获大眼金枪鱼为主,我国远洋延绳钓渔船虽然也在该海域作业,但渔获量比日本少得多,且渔获种类多为黄鳍和长鳍金枪鱼,经济价值不高,归根结底是因为对该海域大眼金枪鱼渔场渔况掌握不够。为了精确预测该海域大眼金枪鱼渔场,本文采用卫星遥感反演全球区域月平均海表温度(SST)、海面高度(SSH)、叶绿素浓度(Chlo)以及由SST计算得到的温度梯度(TGR)等数据,结合太平洋共同体秘书处(SPC)提供的大眼金枪鱼历史捕获数据,辅助预测大眼金枪鱼渔场。通过把渔获数据与环境数据进行地理关联统计分析得到以下结果:在SST(26℃~29℃),Chlo(0.1mg/m3~0.2 mg/m3)、SSH(-2cm^1.5cm)和TGR(0.1℃/60nmi^0.4℃/60nmi)等环境因子分布区间内大眼金枪鱼延绳钓渔场渔获努力量(CPUE)数值较高。目前的海洋遥感监测卫星已能够提供准实时海洋环境因子监测数据,因此,应用遥感手段获取环境因子数据,同时结合历史渔获量与环境因子的统计关系,大眼金枪鱼渔场渔情的预报精度将被大大提升。
The bigeye tuna used to be the main targets of longline fleets in the Eastern and Central Pacific Ocean. Now there are some Chinese vessels engaged in the fishing activities in this region, but the CPUE of Chinese vessels is smaller then that of Japanese vessels, and the most of the fishes they caught are cheaper Yellowfin and Albacore tuna. The reason is their inadequate of knowledge around Bigeye tuna survival environment mostly. In order to predict the suitable Bigeye fishing ground in the area, the satellite informarion on SST, SSH, Chlo and the grads of temperature calculated by SST are used to fit with the fishing catch data from SPC. Through the geographical relationship analysis between the catch data and environmental parameters, it is obvious that the highest CPUE will be obtained in the region with SST in 2612 -29℃ ,CHLO in 0.1mg/m^3- 0.2 mg/m^3, SSH in -2cm-1.5cm and TGR in 0.1℃/60nmi- 0.4℃/60nmi. Nowadays Satellites can provide us with more and more precise environmental parameters, and make precisle forecast the worthwhile fishing ground.
出处
《遥感信息》
CSCD
2006年第1期25-28,共4页
Remote Sensing Information
基金
国家863计划(2003AA637030号)项目资助
关键词
卫星
遥感
大眼金枪鱼
中东太平洋
satellite
remote sensing
bigeye tuna
the eastern and cenral pacific ocean（ECPO）
