时空立方体模型在渔业中的应用及时空热点分析——以金枪鱼围网为例

IF 2.1 3区 农林科学 Q2 FISHERIES
Fishes Pub Date : 2023-10-21 DOI:10.3390/fishes8100525
Ran Xu, Xiaoming Yang, Siquan Tian
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引用次数: 0

摘要

在横跨中太平洋和西太平洋的围网捕鱼中,鲣鱼是一种重要的资源。确定鲣鱼分布的热点和冷点对于有效的资源管理至关重要,但鱼类行为的动态性意味着这些热点不是恒定的。利用2010 - 2019年的中国捕捞日志数据,对时空立方体中的鲣鱼资源热点和冷点进行了分析。研究揭示了鲣鱼单位努力渔获量(CPUE)的13种时空模式。热点集中在中部地区(36.53%),以振荡热点为主(21.25%);东部振荡热点的显著效应持续增强并向东延伸。冷斑分布占63.47%,以强化冷斑为主(25.07%)。无模式检测型(10.53%)分布在冷点和热点之间。渔场纵向振荡为3°~ 6°,纵向振荡为1°~ 2°。冷热点分布空间自相关性强,鲣鱼资源时空动态变化与El Niño-Southern涛动(ENSO)现象密切相关。值得注意的是,2011-2016年期间,受船舶日计划(VDS)等渔业管理措施的影响,热点地区呈向东扩展趋势,并在2017-2019年继续扩大。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Use of Space-Time Cube Model and Spatiotemporal Hot Spot Analyses in Fisheries—A Case Study of Tuna Purse Seine
Katsuwonus pelamis, or skipjack, is a vital resource in purse seine fishing across the Central and Western Pacific. Identifying skipjack distribution hotspots and coldspots is crucial for effective resource management, but the dynamic nature of fish behavior means these spots are not constant. We used Chinese fishing logbook data from 2010 to 2019 to analyze skipjack resource hotspots and coldspots in a space-time cube. The study revealed 13 spatiotemporal patterns in skipjack Catch per Unit Effort (CPUE). Hotspots (36.53%) were concentrated in the central area, predominantly showing oscillating hotspots (21.25%). The significant effect of the eastern oscillating hotspot continues to be enhanced and extends to the east. Coldspots constituted 63.47% of the distribution, mainly represented by intensifying coldspots (25.07%). The no-pattern-detected type (10.53%) is distributed between coldspots and hotspots. The fishing grounds exhibited longitudinal oscillations of 3°–6° and latitudinal oscillations of 1°–2°. The spatial autocorrelation of cold and hot spot distribution was strong, and the spatiotemporal dynamic changes in skipjack resources were closely related to the El Niño-Southern Oscillation (ENSO) phenomenon. Notably, during 2011–2016, hotspots exhibited an eastward expansion trend, which continued from 2017–2019 due to the influence of fishery management measures, such as the Vessel Day Scheme (VDS) system.
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Fishes
Fishes Multiple-
CiteScore
1.90
自引率
8.70%
发文量
311
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