跳到主要內容區塊

臺灣東部海域黑皮旗魚移動行為與族群結構研究

  • 日期:111-10-24
  • 計畫編號:110農科-6.1.2-水-A2(8)
  • 年度:2021
  • 領域:漁業科技研發
  • 主持人:江偉全
  • 研究人員:吳瑞賢、林憲忠、張綦璿

瞭解大洋性魚類棲息分布及環境因子如何影響垂直移動行為習性及地理分布是有效進行漁業管理重要工作之一,生物紀錄科學技術則是以漁業獨立資料進行野生動物移動行為解析。本研究採用彈脫型衛星標識紀錄器(PSAT),於臺東海域利用傳統鏢旗魚漁法及鮪延繩釣作業方式,將標識器配置於黑皮旗魚,標識器記錄溫度、深度與光照度資料,總計標識放流14尾黑皮旗魚,標識器在魚體記錄時間為26-360天,標識地點與標識器彈脫位置點直線距離為56-3,759公里,下潛深度達441公尺,棲息海域水溫為6.8°C至32.3°C,白天與夜晚有顯著性的差異。白天主要棲息於表水層至混合層(約50公尺)水域且具有頻繁性的下潛行為,夜間則喜好棲息於水表層。在以往紀錄器的資料所忽略的垂直行為分析模式,經由變點分析(changepoint analysis)顯示,黑皮旗魚具有季節性時間序列的下潛行為差異,這些結果將可提供進行黑皮旗魚資源評估模式建立與漁業管理策略擬定之重要科學依據。

研究報告摘要(英)


Understanding the movements of pelagic fish and the influence that environmental conditions have on their vertical and geographic distribution is fundamental to understanding their ecology and necessary for effective management. Bio-logging technology is a fisheries independent tool that is important for tracking animal movement patterns. Pop-up satellite archival tags (PSATs) were deployed on blue marlin using the traditional harpoon and longline fisheries of southeastern Taiwan. Depth, temperature and ambient light data were recorded by the PSATs. In total, 14 blue marlin were tagged and PSATs remain affixed from 27 to 360 days-atliberty. Linear displacements ranged from 56 to 3,759 km from deployment to popup locations. Diving depths ranged from the surface to ~441 m and water temperatures occupied ranged from 32.3°C to 6.8°C, and the distributions of time spent at depth were significantly different between daytime and nighttime. Tagged blue marlin spent the majority of daytime in the surface mixed-layer to ~50 m, and at nighttime they were exclusively confined to the surface. The changepoint analysis (CPA) distinguished multiple breaks in the time series that corresponded to seasonal variability and other breakpoints were suggestive of habitat differences. We have shown that by incorporating vertical movement metrics into the analysis of the PSAT time series data by CPA, previously hidden shifts in behavior can be revealed. The resulting increase in ability to discern complex behavioral patterns of blue marlin remotely will likely yield better management and conservation decisions.