Spatial Distribution of Aurelia sp. Ephyrae and Its Relationship with Environmental Factors in the Coastal Waters of Qinhuangdao in Spring, 2020

doi:10.16258/j.cnki.1674-5906.2021.06.015

Ecology and Environment ›› 2021, Vol. 30 ›› Issue (6): 1240-1248.DOI: 10.16258/j.cnki.1674-5906.2021.06.015

• Research Articles • Previous Articles Next Articles

Spatial Distribution of Aurelia sp. Ephyrae and Its Relationship with Environmental Factors in the Coastal Waters of Qinhuangdao in Spring, 2020

Xue Liyuan¹^,²(), Liu Zhiliang¹^,²^,^*(), Song Wei³, An Ying¹^,², Yuan Xiaobo¹^,², Chen Xiao¹^,²

1. Research Center for Marine Science, Hebei Normal University of Science and Technology, Qinhuangdao 066004, China
2. Hebei Key Laboratory of Ocean Dynamics, Resources and Environments, Qinhuangdao, 066004, China
3. First Institute of Oceanography, Ministry of Natural Resources, Qingdao 266061, China

Received:2021-01-25 Online:2021-06-18 Published:2021-09-10
Contact: Liu Zhiliang

秦皇岛海域春季海月水母碟状幼体空间分布及其与海洋环境因子的关系

薛力园¹^,²(), 刘志亮¹^,²^,^*(), 宋伟³, 安颖¹^,², 袁晓博¹^,², 陈晓¹^,²

1.河北科技师范学院海洋科学研究中心,河北秦皇岛 066004
2.河北省海洋动力过程与资源环境重点实验室,河北秦皇岛 066004
3.自然资源部第一海洋研究所,山东青岛 266061

通讯作者: 刘志亮
作者简介:薛力园（1989年生）,男,博士,研究方向为近海生态环境。E-mail: xuealytt@126.com
基金资助:
国家重点研发计划“海洋环境安全保障”专项(2019YFC1407903);国家重点研发计划“海洋环境安全保障”专项(2019YFC1407902)

Abstract

Abstract:

Based on the survey data of jellyfish larvae and environmental variables in the coastal waters of Qinhuangdao (QHD) in April of 2020, the spatial distribution of Aurelia sp. ephyrae and its relationship with environmental factors were analyzed. Jellyfish larvae were collected using full-water-column and a standard plankton net (31.6-cm-internal diameter, 160-μm-mesh size). The results showed that the water temperature in the nearshore area was warmer than the offshore areas, ranging from 9.8 ℃ to 12.2 ℃. The salinity varied slightly (31.49-32.03), while the low salinity was observed at mouth of Tang River and Xinkai River due to the river runoff. The dissolved oxygen content was low at the mouth of Xinkai River, and high outside the Shi River, Lianhua Island, and Jinshanzui, ranging from 7.70 mg∙L^-1 to 9.56 mg∙L^-1. The pH varied from 8.01 to 8.32, while the low pH was observed at the mouth of Tang River and Xinkai River. The Aurelia sp. was mainly composed of ephyra, with bell diameter ranging from 1 mm to 10 mm. And the Aurelia sp. ephyrae were mainly distributed around the Lianhua Island. The Lianhua Island was characterized by a higher density (94 ind∙m^-3) and smaller bell diameter (1-1.5 mm) of Aurelia sp. ephyrae compared to other areas. Outside the Jinmeng Bay, the bell diameter of Aurelia sp. ephyrae increased gradually and the abundance decreased. The Lianhua Island is characterized by warmer, high oxic, and low salinity in April, providing favorable conditions for the Aurelia sp. ephyrae. The abundance of Aurelia sp. ephyrae was highly negatively correlated to the salinity (P<0.01), but positively correlated to the temperature and dissolved oxygen (P<0.05). And the bell diameter of Aurelia sp. ephyrae had a significantly negative correlation with the temperature (P<0.01). The Aurelia sp. was considered to a native type due to the presence of ephyrae. Overall, this study provides important information on the distribution of Aurelia sp. ephyrae, and can help to better understand the mechanism and key factors of jellyfish bloom in the coastal waters of Qinhuangdao.

Key words: Aurelia sp., ephyrae, abundance, bell diameter, spatial distribution, environmental factors, coastal waters of Qinhuangdao

摘要：

基于2020年春季秦皇岛海域水母幼体和海洋环境调查数据,分析该海域春季海月水母（Aurelia sp.）幼体丰度的空间分布特征,并探讨了海月水母幼体空间分布与海洋环境因子之间的关系。水母幼体样品利用标准的浅水Ⅱ型浮游生物网（网口内径31.6 cm,网衣孔径160 μm）采用全水柱拖网方式进行采集。调查结果显示,4月秦皇岛海域水体温度范围在9.8—12.2 ℃之间,近岸水体温度高,离岸水体逐渐降低。盐度范围在31.49—32.03之间,受河流冲淡水的影响,汤河口和新开河口水体盐度较低。溶解氧质量浓度范围在7.70—9.56 mg∙L^-1之间,在新开河口较低,高值区分布在石河口、莲花岛和金山嘴外侧海域。水体pH范围在8.01—8.32之间,在汤河口和新开河口水域较低。4月海月水母主要以碟状体形式存在,伞径范围在1—10 mm之间。海月水母碟状幼体丰度分布中心位于金梦海湾内莲花岛水域。该水域海月水母碟状幼体丰度最高（94 ind∙m^-3）,伞径较小,在1—1.5 mm之间。金梦海湾以外水域,海月水母碟状幼体伞径逐渐增大,丰度较少。4月莲花岛水域温暖、富氧和低盐的水体环境为海月水母碟状幼体的大量聚集提供了有利条件。统计分析结果显示,海月水母碟状幼体丰度与海水盐度呈极显著负相关性（P<0.01）,与温度和溶解氧含量呈显著正相关性（P<0.05）;海月水母碟状幼体伞径与海水温度呈极显著负相关性（P<0.01）。综上,该海域海月水母为本地生长型,研究结果为深入研究该海域海月水母的时空变化规律及关键驱动因子提供了基础数据。

关键词: 海月水母, 碟状幼体, 丰度, 伞径, 空间分布, 环境因子, 秦皇岛海域

CLC Number:

X171.5

Xue Liyuan, Liu Zhiliang, Song Wei, An Ying, Yuan Xiaobo, Chen Xiao. Spatial Distribution of Aurelia sp. Ephyrae and Its Relationship with Environmental Factors in the Coastal Waters of Qinhuangdao in Spring, 2020[J]. Ecology and Environment, 2021, 30(6): 1240-1248.

薛力园, 刘志亮, 宋伟, 安颖, 袁晓博, 陈晓. 秦皇岛海域春季海月水母碟状幼体空间分布及其与海洋环境因子的关系[J]. 生态环境学报, 2021, 30(6): 1240-1248.

Figures/Tables 7

Fig. 1 Investigation area with sampling locations and water depth of Qinhuangdao in April, 2020 Solid black dots and number represent for sampling stations, black lines represent for water depth, derived from the LOWRANCE HDS-7, units: meters

Fig. 2 Distribution of temperature (t), salinity (S), dissolved oxygen (DO), and pH of Qinhuangdao in April, 2020

Fig. 3 Photograph of Aurelia sp. ephyrae of Qinhuangdao in April, 2020

Fig. 4 Abundance and length distribution of Aurelia sp. ephyrae at sampling stations in April, 2020

Fig. 5 Spatial distribution of Aurelia sp. ephyrae of Qinhuangdao in April, 2020

Fig. 6 Variation of sea temperature (t), salinity (S), dissolved oxygen (DO), pH, and abundance of Aurelia sp. ephyrae of Qinhuangdao in spring, 2020 a-5: Interpolation data based on Kriging method; “lg(Y+0.001)+3” represents for the normalized value of abundance of Aurelia sp. ephyrae

Fig. 7 Results of Pearson correlation analysis between abundance of Aurelia sp. ephyrae and sea temperature (t), salinity (S), dissolved oxygen (DO), and pH of Qinhuangdao in spring, 2020 *Means significant at the level of 0.05, ** means significant at the level of 0.01

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Spatial Distribution of Aurelia sp. Ephyrae and Its Relationship with Environmental Factors in the Coastal Waters of Qinhuangdao in Spring, 2020

秦皇岛海域春季海月水母碟状幼体空间分布及其与海洋环境因子的关系

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[5]	YANG Chunliang, LIU Minxia, WANG Qianyue, MIAO Lele, XIAO Yindi, WANG Min. Spatial Pattern and Correlation of Populations of Anemone rivularis and Kobresia myosuroides under Single-household Management and Multi-household Management Grazing Patterns [J]. Ecology and Environment, 2023, 32(4): 651-659.
[6]	WANG Xinyu, GAO Dengzhou, LIU Bolin, WANG Bin, ZHENG Yanling, LI Xiaofei, HOU Lijun. The Tidal-cycle Variation and Influencing Factors of Dark Carbon Fixation Process in the Yangtze Estuary [J]. Ecology and Environment, 2023, 32(4): 733-743.
[7]	WU Yarui, WANG Meijing, WANG Tao, YANG Meihuan. Effect of COVID-19 on Temporal and Spatial Distribution of NO₂ Concentration and Socio-Economic Life: A Case Study of Shaanxi Province [J]. Ecology and Environment, 2023, 32(3): 514-524.
[8]	WU Shengyi, WANG Fei, XU Ganjun, MA Hao, DANG Yujie, WU Fei. Study on Forest Carbon Storage and Spatial Distribution in the Alpine Gorge Region of Northwest Sichuan: Take Sichuan Luoxu Nature Reserve as An Example [J]. Ecology and Environment, 2022, 31(9): 1735-1744.
[9]	LI Xiuhua, ZHAO Ling, TENG Ying, LUO Yongming, HUANG Biao, LIU Chong, LIU Benle, ZHAO Qiguo. Characteristics, Spatial Distribution and Risk Assessment of Combined Mercury and Cadmium Pollution in Farmland Soils Surrounding Mercury Mining Areas in Guizhou [J]. Ecology and Environment, 2022, 31(8): 1629-1636.
[10]	JIANG Nihao, ZHANG Shihao, ZHANG Shihan. Interspecific Associations and Environmental Interpretation of the Dominant Species of the Communities Invaded by Ageratina adenophora in Ailao Mountains [J]. Ecology and Environment, 2022, 31(7): 1370-1382.
[11]	WEN Zhifeng, WEI Shiguang, LI Lin, YE Wanhui, LIAN Juyu. Spatial Distribution Patterns and Spatial Associations of Evergreen Broad-leaved Forest Plants in Tropical South Asia at Different Taxonomic Levels [J]. Ecology and Environment, 2022, 31(3): 440-450.
[12]	XIA Kai, DENG Pengfei, MA Ruihao, WANG Fei, WEN Zhengyu, XU Xiaoniu. Changes of Soil Bacterial Community Structure and Diversity from Conversion of Masson Pine Secondary Forest to Slash Pine and Chinese Fir Plantations [J]. Ecology and Environment, 2022, 31(3): 460-469.
[13]	LIU Di, SU Chao, ZHANG Hong, QIN Guanyu. Pollution Characteristics and Risk Assessment of Heavy Metal Pollution in A Typical Coal-based Industrial Cluster Zone [J]. Ecology and Environment, 2022, 31(2): 391-399.
[14]	XUE Wenkai, ZHU Pan, DE Ji, GUO Xiaofang. Study on the Temporal and Spatial Characteristics of the Dominant Species of Cultivable Filamentous Fungi in Nam Co Lake [J]. Ecology and Environment, 2022, 31(12): 2331-2340.
[15]	ZHANG Kaiyue, LIU Zhenghui, WANG Yanhao, WANG Jingkuan, CUI Dejie, LIU Xinwei. Risk Assessment and Spatial Characteristics of PAHs in Soils in the Yellow River Delta Nature Reserve [J]. Ecology and Environment, 2022, 31(11): 2198-2205.