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李笑语,于仁成,刘欣禹,杜小媛,于庆云,耿慧霞,张琦,曹婧,宋晓丽.黄渤海典型近岸海域叶绿素a空间分布特征及其与环境因子的关系[J].广西科学,2025,32(2):330-338. [点击复制]
- LI Xiaoyu,YU Rencheng,LIU Xinyu,DU Xiaoyuan,YU Qingyun,GENG Huixia,ZHANG Qi,CAO Jing,SONG Xiaoli.Spatial Distribution Characteristics of Chlorophyll a and Its Relationship with Environmental Factors in Typical Coastal Regions in the Bohai Sea and the Yellow Sea[J].Guangxi Sciences,2025,32(2):330-338. [点击复制]
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| 黄渤海典型近岸海域叶绿素a空间分布特征及其与环境因子的关系 |
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李笑语1,2,3, 于仁成4, 刘欣禹1,2,3, 杜小媛1,2,3, 于庆云1,2,3, 耿慧霞4, 张琦1,2,3, 曹婧1,2,3, 宋晓丽1,2,3
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| (1.自然资源部北海生态中心, 山东 青岛 266033;2.自然资源部渤海生态预警与保护修复重点实验室, 山东 青岛 266033;3.山东省海洋生态环境与防灾减灾重点实验室, 山东 青岛 266061;4.中国科学院海洋研究所, 山东 青岛 266071) |
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| 摘要: |
| 在黄渤海海域,春夏季赤潮多发，对海洋生态安全构成潜在威胁。叶绿素a(Chlorophyll a，Chl a)浓度作为反映浮游植物生物量的关键指标，其动态变化能够表征该海域浮游植物生物量分布规律。为解析该海域叶绿素a空间分布特征，本研究通过热点分析、相关性分析等方法，对比研究2016年和2021年夏季黄渤海典型近岸海域(秦皇岛、天津、东港邻近海域及胶州湾海域)叶绿素a浓度的分布状况及其相关环境因子，结果表明，黄渤海典型近岸海域存在富营养化现象。夏季叶绿素a浓度高值区分布在离岸较近海域，叶绿素a浓度分布与显著相关环境因子分布具有空间联系。通过两个年度的对比分析发现，渤海典型近岸海域叶绿素a浓度在2021年略有降低，其分布特征与盐度、营养盐尤其是溶解无机氮变化具有相关性；黄海典型近岸海域叶绿素a浓度在2021年有所升高，东港邻近海域所处位置相对开放，叶绿素a浓度与温度具有显著相关性，而胶州湾海域叶绿素a浓度变化与本研究分析的环境因子之间无显著相关性。研究结果揭示了黄渤海海域浮游植物生物量时空分布特征及其与环境条件的关系，并为探索该海域赤潮发生机理和预测研究提供了基础科学依据。 |
| 关键词: 赤潮 叶绿素a 环境因子 空间分析 富营养化 |
| DOI：10.13656/j.cnki.gxkx.20250425.002 |
| 投稿时间：2024-07-19修订日期：2024-10-07 |
| 基金项目:自然资源部渤海生态预警与保护修复重点实验室开放基金项目(2022110);山东省自然科学基金项目(ZR2023QD183);山东省海洋生态环境与防灾减灾重点实验室开放基金项目(202206)资助。 |
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| Spatial Distribution Characteristics of Chlorophyll a and Its Relationship with Environmental Factors in Typical Coastal Regions in the Bohai Sea and the Yellow Sea |
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LI Xiaoyu1,2,3, YU Rencheng4, LIU Xinyu1,2,3, DU Xiaoyuan1,2,3, YU Qingyun1,2,3, GENG Huixia4, ZHANG Qi1,2,3, CAO Jing1,2,3, SONG Xiaoli1,2,3
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| (1.North China Sea Ecology Center, Ministry of Natural Resources, Qingdao, Shandong, 266033, China;2.Key Laboratory of Ecological Warning, Protection and Restoration for Bohai Sea, Ministry of Natural Resources, Qingdao, Shandong, 266033, China;3.Shandong Provincial Key Laboratory of Marine Ecological Environment and Disaster Prevention and Mitigation, Qingdao, Shandong, 266061, China;4.Institute of Oceanology, Chinese Academy of Sciences, Qingdao, Shandong, 266071, China) |
| Abstract: |
| The Bohai Sea and the Yellow Sea experience high frequency of red tides in spring and summer,which poses a potential threat to marine ecological security.The Chlorophyll a (Chl a) concentration is a key indicator of phytoplankton biomass,and its variations indicate the distribution pattern of phytoplankton biomass.To analyze the spatiotemporal characteristics of Chl a concentration in the sea area,the Chl a distribution and the environmental factors in the typical coastal regions (Qinhuangdao,Tianjin,Donggang,and Jiaozhou Bay) of the Bohai Sea and the Yellow Sea in summer 2016 and 2021 were analyzed by hotspot and correlation analyses.The results indicated eutrophication in the typical coastal waters of the Yellow Sea and Bohai Sea.High concentrations of Chl a occurred mainly in the regions near the coast,and the distribution pattern of Chl a was consistent with those of the significantly related environmental factors.The comparison of data between the two years showed a slight decrease of Chl a concentration in the typical coastal regions of the Bohai Sea,and the distribution pattern was correlated with salinity and dissolved inorganic nitrogen.The concentration of Chl a in the typical coastal regions of the Yellow Sea increased in 2021 compared with that in 2016.The variation of Chl a concentration in Donggang adjacent to open sea was significantly correlated with temperature.In Jiaozhou Bay,however,there was no significant correlation between Chl a concentration and the environmental factors analyzed.The findings reveal the spatio-temporal distribution characteristics of phytoplankton biomass and its relationship with environmental conditions in the Bohai Sea and the Yellow Sea,providing a basic scientific basis for exploring the mechanism and predicting the occurrence of red tides in the sea areas. |
| Key words: red tide chlorophyll a environmental factors spatial analysis eutrophication |
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