Spatiotemporal distribution patterns of macrobenthic communities and their relationship with environmental factors in the Shengsi Archipelago(Zhejiang, China)

被引:0
作者
Lingxiang Jin [1 ]
Yibo Liao [1 ,2 ]
Peisong Yu [1 ]
Yanbin Tang [1 ]
Qinghe Liu [1 ]
Rongliang Zhang [1 ]
Lu Shou [1 ,3 ]
Jiangning Zeng [1 ,3 ]
Quanzhen Chen [1 ,2 ]
机构
[1] Key Laboratory of Marine Ecosystem Dynamics, Second Institute of Oceanography, Ministry of Natural Resources
[2] Key Laboratory of Ocean Space Resource Management Technology, Ministry of Natural Resources
[3] Laboratory of Nearshore Engineering Environment and Ecological Security of Zhejiang Province
关键词
D O I
暂无
中图分类号
Q958.8 [水生动物学];
学科分类号
071012 ; 0713 ;
摘要
Macrobenthic organisms are commonly employed as biomonitors for environmental risk assessment. In this study, we aimed to investigate the spatial and temporal patterns of the macrobenthic community, which is influenced by environmental factors of sediments and bottom water layer. We sampled a total of 12, 11, 10, and 11 stations in the Shengsi Archipelago during June 2010, August 2010, November 2020, and April 2021 respectively. A total of 124species of macrobenthos were identified, with polychaetes being the dominant group. The abundance, biomass, and diversity indices exhibited no significant temporal differences. Similarly, biodiversity did not exhibit a clear spatial gradient, likely due to the small study area and the absence of significant differences in key factors such as depth.However, the stations with the lowest biodiversity values consistently appeared in the southwest region, possibly due to the impact of human activities. Significant differences in the macrobenthic community were observed between all months except between June and August, and mollusk Endopleura lubrica and polychaete Sigambra hanaokai were important contributors to these differences according to the results of the Similarity Percentages analysis. Suspended particulate matter(SPM) was identified as the primary driving factors of macrobenthic variability. In summary, the community structure underwent temporal changes influenced by complex current patterns, while biodiversity remained relatively stable. This study contributes to our understanding of the key environmental factors affecting macrobenthic communities and biodiversity. It also provides valuable data support for the long-term monitoring of macrobenthos and the environment in the Shengsi Archipelago.
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页码:113 / 126
页数:14
相关论文
共 48 条
[11]   Macrobenthic community structure and species composition in the Yellow Sea and East China Sea in jellyfish bloom [J].
Peng Songyao ;
Li Xinzheng ;
Wang Hongfa ;
Zhang Baolin .
CHINESE JOURNAL OF OCEANOLOGY AND LIMNOLOGY, 2014, 32 (03) :576-594
[12]  
A multi‐parameter artificial neural network model to estimate macrobenthic invertebrate productivity and production.[J].Thomas Brey.Limnology and Oceanography: Methods.2012, 8
[13]  
Numerical study on the origins and the forcing mechanism of the phosphate in upwelling areas off the coast of Zhejiang province; China in summer.[J].Dezhou Yang;Baoshu Yin;Junchuan Sun;Yong Zhang.Journal of Marine Systems.2013,
[14]   Sublittoral soft bottom communities and diversity of Mejillones Bay in northern Chile (Humboldt Current upwelling system) [J].
Laudien, Juergen ;
Rojo, Manuel E. ;
Oliva, Marcelo E. ;
Arntz, Wolf E. ;
Thatje, Sven .
HELGOLAND MARINE RESEARCH, 2007, 61 (02) :103-116
[15]   海洋倾倒区对附近海域环境影响分析——以嵊泗上川山为例 [J].
朱志清 ;
叶林安 ;
章紫宁 ;
袁国坚 .
海洋开发与管理, 2020, 37 (05) :52-56
[16]   台风对舟山海域上升流和叶绿素分布的影响 [J].
杨伟 ;
黄菊 ;
于潭 .
厦门大学学报(自然科学版), 2020, 59 (S1) :24-31
[17]  
浙江披山海域主要虾蟹类时空生态位及种间联结性.[J].蒋巧丽;许永久;郑基;俞存根;.应用生态学报.2021, 07
[18]   2016-2019年夏季长江口海域大型底栖动物群落结构的变化及其原因分析 [J].
贾海波 ;
曹柳燕 ;
柴小平 .
海洋环境科学, 2022, 41 (02) :180-186
[19]   浙江舟山海域大型底栖动物群落组成及主要影响因子分析 [J].
宋晨 ;
许丽婷 ;
王晓波 ;
孟周 ;
韩庆喜 .
海洋与湖沼, 2022, 53 (06) :1585-1597
[20]   江汉平原长湖浮游植物初级生产力的季节性变化及其驱动因子 [J].
李学梅 ;
刘璐 ;
龚森森 ;
孟子豪 ;
胡飞飞 ;
柴毅 ;
杨德国 .
湖泊科学, 2023, 35 (03) :833-843