Spatiotemporal analysis of marine environmental influence on the distribution of chub mackerel in the Northwest Pacific Ocean based on geographical and temporal weighted regression

IF 2.1 4区 地球科学 Q2 MARINE & FRESHWATER BIOLOGY Journal of Sea Research Pub Date : 2024-06-18 DOI:10.1016/j.seares.2024.102514
Jiasheng Li , Xuesen Cui , Fenghua Tang , Wei Fan , Zhen Han , Zuli Wu
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Abstract

In order to further analyze the impact of the marine environment factors in the Northwest Pacific Ocean on the distribution of chub mackerel Scomber japonicus resources, a spatio-temporal weighted regression model was constructed based on the marine environmental and fishery data of China's light purse seine production in the high seas of the Northwest Pacific Ocean. Six environmental factors, including sea surface temperature (SST), chlorophyll a concentration (Chl-a), eddy kinetic energy (EKE), SST gradient intensity (GSST), longitudinal SST gradient (xGSST) and latitudinal SST gradient (yGSST) in spring, summer and autumn were used to analyze the impact of the temporal and spatial environmental factors on chub mackerel. The results show that the statistically significant variables (p < 0.05) were different in seasonal models. The SST, Chl-a, yGSST and EKE were statistically significant in the spring model, SST, yGSST and GSST in the summer model, and EKE, yGSST and GSST in the autumn model. The adjusted coefficients of determination (R2adj.) of the spring, summer and autumn models were 0.488, 0.378 and 0.475, respectively. The results suggest that the coefficients of various environmental factors changed not only with time, but also with geographical location. Through this study, we can provide methodological reference for the study of resource change and fishery formation mechanism of chub mackerel fishery in the Northwest Pacific Ocean.

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基于地理和时间加权回归的西北太平洋海洋环境影响鲐鱼分布的时空分析
为了进一步分析西北太平洋海洋环境因子对日本鲭资源分布的影响,基于中国西北太平洋公海轻型围网生产的海洋环境和渔业数据,构建了时空加权回归模型。利用春、夏、秋季海表温度(SST)、叶绿素 a 浓度(Chl-a)、涡动能(EKE)、SST 梯度强度(GSST)、SST 纵向梯度(xGSST)和 SST 纬向梯度(yGSST)等 6 个环境因子分析了时空环境因子对鲐鱼的影响。结果表明,在季节模型中,具有统计学意义的变量(p < 0.05)是不同的。在春季模型中,SST、Chl-a、yGSST 和 EKE 具有统计学意义;在夏季模型中,SST、yGSST 和 GSST 具有统计学意义;在秋季模型中,EKE、yGSST 和 GSST 具有统计学意义。春季、夏季和秋季模式的调整决定系数(R2adj.)分别为 0.488、0.378 和 0.475。结果表明,各种环境因素的系数不仅随时间变化,而且随地理位置变化。通过本研究,可为西北太平洋鲐鱼渔业资源变化和渔业形成机制的研究提供方法参考。
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来源期刊
Journal of Sea Research
Journal of Sea Research 地学-海洋学
CiteScore
3.20
自引率
5.00%
发文量
86
审稿时长
6-12 weeks
期刊介绍: The Journal of Sea Research is an international and multidisciplinary periodical on marine research, with an emphasis on the functioning of marine ecosystems in coastal and shelf seas, including intertidal, estuarine and brackish environments. As several subdisciplines add to this aim, manuscripts are welcome from the fields of marine biology, marine chemistry, marine sedimentology and physical oceanography, provided they add to the understanding of ecosystem processes.
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