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Environmental aspects of tuna catches in the Indian Ocean, southern coast of Java, based on satellite measurements

机译:基于卫星测量的卫星测量,金枪鱼的环境方面在印度洋捕获。

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The present work seeks to assess the relationship between daily Sea Surface Temperature (SST) and thermal front (Gradient Magnitude method) using AMSR-E, daily Sea Surface Chlorophyll-a (SSC) using MODIS, and daily long line (LL) bigeye (BG), albacore (ALB), yellowfin (YF), and southern bluefin (SBF) tuna catch data expressed as catch per unit effort (CPUE), which was calculated as the number of fish caught by 1000 hooks in 1° latitude by 1° longitude square grid, and integrated into a month of fishing activity for the period of March-December 2010 in South Java (Indian Ocean). Results obtained showed evidences of non-linear relationships between catch yields and environmental data. BG and ALB show largest CPUE values which occurred mainly in the area with SSTs of 26 - 27 °C and SSCs of 0.15 - 0.3mg/m3. CPUEs appear to be “randomly” dispersed and have a slight positive (negative) correlation with SSC (SST) i.e., 0.33 (-0.38) but not with GM values i.e., -0.02. The weak correlation between CPUE, SST, SSC and GM lead to assume that CPUEs might be linked to other influential parameters that are not assessed in the present study but are needed to give complete prediction of potential fishing ground areas, knowing that the length of observation period is less than 1 year.
机译:目前的作品旨在使用Modis使用AMSR-E,每日海面叶绿素-A(SSC)和每日长线(LL)Bigeye(SSC)评估日常海面温度(SST)和热前(梯度幅度法)之间的关系。 BG),Albacore(Alb),黄鳍金属(YF)和Southern Bluefin(SBF)金枪鱼捕获数据表示为每单位努力(CPUE)的捕获量(CPUE),它计算为1000 +纬度捕获的鱼数1经度方形电网,并纳入2010年3月 - 2010年3月在南爪哇(印度洋)的一个月的捕捞活动。得到的结果显示了捕获产量和环境数据之间的非线性关系的证据。 BG和ALB显示最大的CPUE值,主要发生在26 - 27°C的区域,SSC为0.15 - 0.3mg / m 3 。 CPUES似乎是“随机”分散的,并且具有与SSC(SST)的轻微正(阴性)相关性,但0.33(-0.38),但不具有GM值I.,-0.02。 CPUE,SST,SSC和GM与GM之间的弱相关性,以假设CPUES可能与本研究中未评估的其他有影响力的参数相关联,但是需要完全预测潜在的渔场地区,知道观察的长度期限不到1年。

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