利用two-stage GAM研究海州湾及其邻近海域小黄鱼鱼卵的时空分布特征
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作者单位:

1. 中国海洋大学水产学院, 山东 青岛 266003;
2. 青岛海洋科学与技术国家实验室, 海洋渔业科学与食物产出过程功能实验室, 山东 青岛 266237

作者简介:

尹洁(1996-),女,硕士研究生,从事渔业资源研究.E-mail:1617449088@qq.com

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中图分类号:

S93

基金项目:

西藏自治区自然科学基金(ZRKX2017000143);西藏自治区科技厅重点研发及转化计划(XZ201801NB12).


Spatial and temporal distribution characteristics of Larimichthys polyactis eggs in Haizhou Bay and adjacent regions based on two-stage GAM
Author:
Affiliation:

1. College of Fisheries, Ocean University of China, Qingdao 266003, China;
2. Laboratory for Marine Fisheries and Food Production Processes, Qingdao National Laboratory for Marine science and technology, Qingdao 266237, China

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    摘要:

    为分析海洋环境变化对鱼类繁殖的影响,深入了解小黄鱼()补充机制,本研究基于2015年、2017年、2018年5月海州湾及其邻近海域产卵场调查数据,利用两阶段广义可加模型(two-stage Generalized AdditiveModel)研究了小黄鱼鱼卵分布与海洋环境因子之间的关系。结果显示小黄鱼鱼卵丰度的年际变化较大,鱼卵高丰度区集中分布在33.5°N~34.5°N、水深10~20 m的近岸河口区。海水温度和盐度是影响小黄鱼鱼卵分布重要的因素。鱼卵集中分布区表层温度为17℃,表层盐度为29.5~30.5;底层温度为16~18℃,底层盐度为29。水温的年际变动也影响了小黄鱼鱼卵丰度,在水温较高的年份鱼卵丰度明显较高。本研究揭示了小黄鱼鱼卵的时空分布特征和环境因子之间的关系,为小黄鱼产卵场保护区、资源量化管理等措施提供科学依据。

    Abstract:

    The fish egg is the early stage in the fish life history, which influences the recruitment of the fish population. There are internal relationships between the distribution of eggs and environmental factors. In recent years, influenced by climate change and global warming, the growth and breeding habits of the small yellow croaker () have changed. The spawning ground of the small yellow croaker has shifted. In addition, the range of the spawning ground of the small yellow croaker has extended to the open sea, and the distribution characteristics of temperature, salinity, and depth of spawning grounds have also greatly changed compared with that of the past. The goals of our study were to reveal the spatial and temporal distributional pattern of eggs of the small yellow croaker in Haizhou Bay and its adjacent waters, as well as determine the relationship between this distributional pattern and environmental variables. A two-stage GAM (two-stage Generalized Additive Model) is a flexible method for modeling zero-flatted data, which are typically found in the data collected from ichthyoplankton surveys. This method is to model the distribution of species in two steps, firstly modeling presence/absence data and secondly modeling density of presence observations. In this study, we conducted an ichthyoplankton survey of the small yellow croaker in Haizhou Bay and its adjacent waters during May in 2015, 2017, and 2018. Based on these data, the two-stage GAM between the distribution of small yellow croaker eggs and environmental factors was constructed. The results showed that the abundance of eggs of the small yellow croaker varied greatly among different years. The eggs were distributed in estuarine waters at depths of 10-20 m between 33.5°N and 34.5°N. Additionally, the temperature and salinity were important factors affecting eggs distribution of the small yellow croaker. The eggs were distributed in areas where the sea surface temperature was 17℃ and the sea surface salinity was between 29.5-30.5. Furthermore, the sea bottom temperature ranged from 16℃ to 18℃ and the sea bottom salinity was 29 in high-destiny distribution areas. In addition, the interannual variation in water temperature also affected the abundance of small yellow croaker eggs. The abundance of fish eggs was significantly higher in the years with higher water temperature. This research revealed changes in the distribution and interannual variation of yellow croaker eggs with respect to changes in environmental variables, and consequently could be valuable for understanding the supplementary mechanism of the small yellow croaker, conservation of spawning grounds (e.g., marine protected areas), and quantitative management of the small yellow croaker. Although the coastal waters of Haizhou Bay and adjacent regions were the focus of our study, the framework and results derived in this study could also be applied to other coastal marine ecosystems.

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尹洁,王晶,张崇良,徐宾铎,薛莹,任一平.利用two-stage GAM研究海州湾及其邻近海域小黄鱼鱼卵的时空分布特征[J].中国水产科学,2019,26(6):1164-1174
YIN Jie, WANG Jing, ZHANG Chongliang, XU Binduo, XUE Ying, REN Yiping. Spatial and temporal distribution characteristics of Larimichthys polyactis eggs in Haizhou Bay and adjacent regions based on two-stage GAM[J]. Journal of Fishery Sciences of China,2019,26(6):1164-1174

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  • 在线发布日期: 2019-11-06
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