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应用生态学报 ›› 2024, Vol. 35 ›› Issue (10): 2881-2886.doi: 10.13287/j.1001-9332.202410.030

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江苏近海夏季小黄鱼资源密度与栖息环境关系探讨

朱海晨, 汤建华*, 吴磊, 施金金, 闫欣, 王储庆, 王燕平, 葛慧   

  1. 江苏省海洋水产研究所, 江苏南通 226000
  • 收稿日期:2024-03-13 接受日期:2024-07-03 出版日期:2024-10-18 发布日期:2025-04-18
  • 通讯作者: * E-mail: jssntstjh@163.com
  • 作者简介:朱海晨, 男, 1995年生, 助理工程师。主要从事渔业资源研究。E-mail: Hajsen@126.com
  • 基金资助:
    江苏省农业生态保护与资源利用项目(2023-SJ-137)和江苏省水生生物资源重大专项暨首次水生野生动物资源普查项目(ZYHB16-2)

Relationship between the resource density of Larimichthys polyactis and the habitat environment factors in summer in Jiangsu coastal waters, China

ZHU Haichen, TANG Jianhua*, WU Lei, SHI Jinjin, YAN Xin, WANG Chuqing, WANG Yanping, GE Hui   

  1. Jiangsu Marine Fisheries Research Institute, Nantong 226000, Jiangsu, China
  • Received:2024-03-13 Accepted:2024-07-03 Online:2024-10-18 Published:2025-04-18

摘要: 为研究江苏近海夏季小黄鱼的栖息分布特征,根据2022年8月江苏近海渔业资源调查数据,结合同步采集的底层水温、底层盐度、水深、叶绿素a浓度以及饵料因子等数据,利用两阶段广义相加模型分析了小黄鱼资源密度与栖息环境之间的关系。结果表明: 江苏近海夏季小黄鱼平均资源密度为15.03 kg·km-2,其主要分布在吕泗渔场的外侧海域和海州湾渔场的中部海域;小黄鱼出现概率主要受水深、叶绿素a的影响,其中水深、叶绿素a的贡献率分别为40.8%、10.2%;其资源密度大小主要受水深、叶绿素a、底层盐度以及矛尾虾虎鱼丰度的影响,偏差解释率最大的变量为底层盐度(19.4%)。研究表明,江苏近海夏季小黄鱼资源密度与其自身的生理习性、海洋环境以及饵料因子的分布密切相关。

关键词: 小黄鱼, 资源密度, 两阶段广义相加模型, 栖息环境

Abstract: To understand the habitat distribution characteristics of Larimichthys polyactis in summer in Jiangsu coastal waters, we analyzed the relationship between resource density and habitat environment of L. polyactis by using a two-stage generalized additive model based on the survey data of fishery resources in August 2022, combined with the data of bottom water temperature, bottom salinity, depth, chlorophyll-a and prey species. The results showed that the average resource density of L. polyactis in summer was 15.03 kg·km-2, which mainly distributed in the outer sea area of Lusi Fishing Ground and the middle sea area of Haizhou Bay Fishing Ground. The occurrence probability of L. polyactis was mainly affected by water depth and chlorophyll-a, with the contribution rate of water depth and chlorophyll-a being 40.8% and 10.2%, respectively. The resource density was mainly affected by water depth, chlorophyll-a, bottom salinity and the abundance of Chaemrichthys stigmatias. The bottom salinity was the variable with the largest deviation explanation (19.4%). Our results suggested that resource density of L. polyactis is closely related to its physiological habits, marine environment and the distribution of prey species.

Key words: Larimichthys polyactis, resource density, two-stage generalized additive model, habitat environment