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首页> 外文期刊>Deep-Sea Research >Using multi-sensor satellite remote sensing and catch data to detect ocean hot spots for albacore (Thunnus alalunga) in the northwestern North Pacific
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Using multi-sensor satellite remote sensing and catch data to detect ocean hot spots for albacore (Thunnus alalunga) in the northwestern North Pacific

机译:使用多传感器卫星遥感和捕获数据来检测西北太平洋西北部长鳍金枪鱼(Thunnus alalunga)的海洋热点

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摘要

To understand better and describe oceanic hot spots for albacore (Thunnus alalunga), we linked remotely sensed data from multi-sensor satellite images of TRMM/TMI sea-surface temperature (SST), SeaWiFS chlorophyll-a concentration and photosynthetically active radiation (PAR), and AVISO mean sea-level anomaly (MSLA) with fisheries catch data from 1998 to 2003. A probability map was generated based on biophysical environmental variables (SST and chlorophyll-a) in relation to the catch data. The probability of environmental variables was combined with an eddy kinetic energy (EKE) map to describe the oceanographic features around fishing locations. Primary production was examined to assess the productivity of the fishing grounds and was calculated from chlorophyll-a, SST and PAR using the vertically generalized production model (VGPM). Results indicate that the greatest catches occurred mainly in November, and the catches were highest at warm SSTs (19.78 ± 1.69℃) and relatively high chlorophyll-a concentrations (0.31 ± 0.13mgm~(-3)). Highest catches occurred in areas where primary production rates ranged from 15.65 to 20.61 g Cm~(-2) month~(-1) (18.12 ± 4.98 g Cm~(-2)month~(-1)). Our analysis found that catch per unit efforts (CPUEs) tended to increase significantly in areas of increasing probability of environmental variables (P < 0.0001) during the season of high abundance. Albacore CPUEs were clearly higher during November 1998-2000 than during November 2002-2003. During 1998-2000, the congregating spots of albacore clearly showed that the probability and primary productivity rates were higher than during 2002-2003. It is likely that the area of high probability (preferred biophysical environmental factors) corresponds to the location of frontal zones, where albacore prey were abundant. Regions of high tuna abundance occurred in relatively high EKE and geostrophic currents, reflecting that tuna aggregations were associated with anticyclonic eddies. These eddies may trap and then concentrate albacore prey transported by the Kuroshio Extension and the Oyashio intrusion near the Shatsky Rise area, hence producing productive tuna fishing grounds. The eddy fields were areas of high catch probability. These findings suggest that the ocean hot spots for albacore are linked to hydrographic features, frontal zones and eddy fields, which influence distribution pattern and formation of tuna abundance. Our analysis provide an illustration on how multi-sensor satellite remote sensing can aid in detecting and visualizing pelagic hot spots. These results can lead to improved habitat protection and tuna fishery management.
机译:为了更好地理解和描述长鳍金枪鱼(Thunnus alalunga)的海洋热点,我们将来自TRMM / TMI海面温度(SST),SeaWiFS叶绿素a浓度和光合有效辐射(PAR)的多传感器卫星图像的遥感数据链接在一起以及AVISO的平均海平面异常(MSLA)以及1998至2003年的渔业捕捞数据。根据与捕捞数据有关的生物物理环境变量(SST和叶绿素-a)生成了概率图。环境变量的可能性与涡动能(EKE)图相结合,描述了捕鱼地点周围的海洋特征。检查初级产量以评估渔场的生产力,并使用垂直广义生产模型(VGPM)根据叶绿素-a,SST和PAR计算初级产量。结果表明,最大的捕获发生在11月份,在温暖的海温(19.78±1.69℃)和较高的叶绿素a浓度(0.31±0.13mgm〜(-3))下捕获量最高。渔获量最高的地区是初级生产力为15.65至20.61 g Cm〜(-2)月〜(-1)(18.12±4.98 g Cm〜(-2)月〜(-1))。我们的分析发现,在高丰度季节,环境变量发生概率增加的区域(CPU

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