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Determining the effect of multiscale climate indices on the global yellowfin tuna (Thunnus albacares) population using a time series analysis
Deep Sea Research Part II: Topical Studies in Oceanography ( IF 2.3 ) Pub Date : 2020-06-27 , DOI: 10.1016/j.dsr2.2020.104808
Yan-Lun Wu , Kuo-Wei Lan , YongJun Tian

The yellowfin tuna (Thunnus albacares; YFT) is a crucial species because it is the second most fished tuna globally. In this study, we analyzed the standardized catch per unit effort (CPUE) to determine the influence of climate indices on YFT distribution and fishing vessel dynamics. The standardized CPUE in the western Pacific Ocean was significantly correlated to the Pacific Decadal Oscillation (PDO) and North Pacific Gyre Oscillation (NPGO) with a 1–5 year lag. These CPUE-climate index relationships were also observed in other ocean basins but with lower significant correlations. The Atlantic Multidecadal Oscillation (AMO) and standardized CPUE were significantly negatively correlated in the Atlantic, eastern Pacific, and western Pacific Oceans and positively correlated in the eastern Indian Ocean with a 1–5 year lag. The wavelet analysis revealed approximately 8–16-year periodicity across 1971 to 2010 between the standardized YFT CPUE and multidecadal climate indices (AMO, PDO, and NPGO). This finding suggests that decadal climate indices affect both YFT regional distributions and the long-term availability to fisheries, which may affect overall abundance. Two interannual climate indices, the Indian Ocean Dipole (IOD) and Oceanic Niño Index (ONI), were significantly correlated with the center of gravity of fishing grounds in the adjacent ocean basin. Furthermore, the influence of climate indices on the longitudinal centers of gravity was mostly limited to adjacent basins, which suggests that climate phenomena have wide-reaching teleconnections that affect large areas across and between basins.



中文翻译:

使用时间序列分析确定多尺度气候指数对全球黄鳍金枪鱼(Thunnus albacares)种群的影响

黄鳍金枪鱼(金枪鱼albacares; YFT)是至关重要的物种,因为它是全球第二大捕鱼最多的金枪鱼。在这项研究中,我们分析了标准每单位工作量(CPUE),以确定气候指数对YFT分布和渔船动态的影响。太平洋西部的标准化CPUE与太平洋年代际振荡(PDO)和北太平洋回转振荡(NPGO)显着相关,滞后时间为1-5年。在其他海盆也观察到了这些CPUE-气候指数关系,但相关性较低。大西洋,东太平洋和西太平洋的大西洋多年代际涛动(AMO)和标准化的CPUE呈显着负相关,而东印度洋则呈1-5年正相关。小波分析显示,在1971年至2010年之间,YFT CPUE和多年代际气候指数(AMO,PDO和NPGO)之间大约有8-16年的周期性。这一发现表明,年代际气候指数既影响YFT区域分布,也影响渔业的长期供应,这可能会影响总体丰度。印度洋偶极子指数(IOD)和大洋Niño指数(ONI)这两个年际气候指数与邻近海盆的渔场重心显着相关。此外,气候指数对纵向重心的影响主要限于相邻盆地,这表明气候现象具有广泛的遥相关性,影响着盆地之间和盆地之间的大面积区域。

更新日期:2020-07-24
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