浙江近海多钩钩腕乌贼栖息分布特征与环境因子的关系

RELATIONSHIP BETWEEN HABITAT DISTRIBUTION CHARACTERISTICS AND ENVIRONMENTAL FACTORS OF ABRALIA MULTIHAMATA IN ZHEJIANG OFFSHORE

  • 摘要: 为探究春秋季多钩钩腕乌贼(Abralia multihamata)栖息分布特征与环境因子的关系, 研究采用2018—2023年春秋季浙江近海拖网调查资料及海洋环境数据, 以扫海面积法估算多钩钩腕乌贼生物量, 使用广义加性模型(Generalized additive model, GAM)进行分析。结果表明: 浙江近海多钩钩腕乌贼平均生物量具有显著的季节差异, 其在浙江近海南部主要分布于27°—29°N, 122°—124°E, 水深为40—70 m的海域。影响多钩钩腕乌贼生物量的因子为经纬度、深度、海表温度(Sea surface temperature, SST)、盐度(Sea surface salinity, SSS)和溶解氧浓度(Dissolved oxygen concentration, DO), 春季和秋季最适SST分别为14—18℃和18—22℃, 春季SSS和DO溶解氧作用不显著, 秋季最适SSS为27‰—35‰, 秋季DO最适浓度为7—11 mg/L。研究可为气候变化背景下浙江近海头足类资源养护提供科学依据。

     

    Abstract: Abralia multihamata is an important cephalopod species in Zhejiang offshore with a high biomass in the continental shelf waters of the East China Sea. It serves as an important bait organism for marine fish. In this study, the biomass of Abralia multihamata was estimated by using the swept area method based on trawl survey data and marine environmental data collected in spring and autumn of 2018 to 2023 in Zhejiang offshore. The relationship between habitat distribution characteristics of Abralia multihamata and environmental factors in spring and autumn was analyzed using generalized additive model (GAM). The results showed that the average biomass of Abralia multihamata in the Zhejiang offshore exhibited notable seasonal variation. It was mainly distributed within the sea area 27°—29°N, 122°—124°E with a depth of 40—70 m. The factors influencing the cephalopod biomass included longitude, latitude, depth, sea surface temperature (SST), sea surface salinity (SSS), and dissolved oxygen concentration (DO). The optimum SST was 14—18℃ in spring and 18—22℃ in autumn. The effect of SSS and DO on the biomass of Abralia multihamata were not significant during the spring season. The optimum SSS was 27‰—35‰ and the optimum DO was found in the range of 7—11 ml/L in autumn. Furthermore, the findings of this study provide a scientific foundation for the conservation of cephalopod resources in Zhejiang offshore, especially in light of the challenges posed by climate change.

     

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