生物多样性 ›› 2024, Vol. 32 ›› Issue (6): 24128.  DOI: 10.17520/biods.2024128  cstr: 32101.14.biods.2024128

• 研究报告: 动物多样性 • 上一篇    下一篇

东海六个国家级海洋保护区鱼类多样性和连通性

姜熠辉1, 刘岳1, 曾旭1, 林喆滢1, 王楠1, 彭吉豪1, 曹玲2(), 曾聪1,2,*()()   

  1. 1.上海交通大学海洋学院, 上海 200030
    2.厦门大学近海海洋环境科学国家重点实验室, 福建厦门 361102
  • 收稿日期:2024-04-05 接受日期:2024-05-14 出版日期:2024-06-20 发布日期:2024-05-16
  • 通讯作者: * E-mail: congzeng@sjtu.edu.cn
  • 基金资助:
    国家自然科学基金(42206082);上海交通大学深蓝计划(SL2022PT110)

Fish diversity and connectivity in six national marine protected areas in the East China Sea

Yihui Jiang1, Yue Liu1, Xu Zeng1, Zheying Lin1, Nan Wang1, Jihao Peng1, Ling Cao2(), Cong Zeng1,2,*()()   

  1. 1. School of Oceanography, Shanghai Jiao Tong University, Shanghai 200030
    2. State Key Laboratory of Marine Environmental Science, Xiamen University, Xiamen, Fujian 361102
  • Received:2024-04-05 Accepted:2024-05-14 Online:2024-06-20 Published:2024-05-16
  • Contact: * E-mail: congzeng@sjtu.edu.cn

摘要:

全球气候变化和人类活动影响对沿海生态系统造成了巨大压力, 而建立海洋保护区网络被认为是应对这双重压力的重要手段。为了保护东海丰富的生物资源, 我国自20世纪末已建立了多个保护区, 但目前生物多样性以及连通性的研究不足以有效支撑东海生物多样性保护与可持续发展。为此, 本研究选取了东海城洲岛国家级海洋公园(城洲岛)、深沪湾海底古森林遗迹国家级自然保护区(深沪湾)、湄洲岛国家级海洋公园(湄洲岛)、平潭综合实验区海坛湾国家级海洋公园(平潭岛)、洞头国家级海洋公园(洞头岛)和玉环国家级海洋公园(玉环) 6个国家级海洋保护区, 在保护区内近岸海域采集不同季节的eDNA样品并测量水环境参数, 通过对鱼类群落组成分析预测保护区间的生物多样性及其潜在连通性。在采集到的71个样品中, 共获得了5,069,193条序列, 包括46,309个分子操作分类单元(molecular operational taxonomic units, MOTUs), 其中保护区内共享MOTUs的丰度占比基本都超过40%。虽然不同保护区间环境参数存在显著差异, 但是生物多样性指数和群落组成差异性检验显示不同保护区间鱼类组成不存在显著差异(P > 0.05), 仅存在季节差异。高占比的共享MOTUs以及无显著空间分化的群落组成可能意味着这些保护区间存在较强的连通性, 具备建立海洋保护区网络的潜力。对保护区生态网络结构的进一步分析表明, 不同保护区的生态网络存在差异, 洞头岛、玉环、深沪湾保护区的网络结构较为稳健, 而湄洲岛和平潭岛保护区则相反, 这表明不同保护区的保护效果存在一定差异, 这可能与保护区的面积和管理有关。本研究不仅为东海近岸群落连通性研究提供了参考, 同时也为东海保护区的管理和建设提供直接支撑。

关键词: 海洋保护地, 保护区网络, 环境DNA, 网络分析, 连通性, 生物多样性

Abstract

Aim: Global climate change and anthropogenic impacts are placing enormous pressures on coastal ecosystems, and networks of marine protected areas have been recognized as an effective means of dealing with these dual pressures. However, there have been few investigations of biodiversity and connectivity of marine protected areas, in particular a lack of studies at the multispecies level. As one of the most biologically rich regions in China and an important contributor to China’s rapid socio-economic development, a number of protected areas have been established in the East China Sea at the end of the last century, but not much research has been conducted on biodiversity and connectivity to support the conservation and sustainable development.
Methods: In this study, six national marine protected areas were selected in the East China Sea, including Chengzhou Island National Marine Park (CZD), Shenhu Bay National Nature Reserve (SHW), Meizhou Island National Marine Park (MZD), Haitan Bay National Marine Park in Pingtan (PTD), Dongtou National Marine Park (DTD) and Yuhuan National Marine Park (YH). Water samples were collected from sandy coast. Environmental DNA was amplified with MiFish-U primers and high-throughput sequencing was performed by Illumina NovaSeq. Permutational multivariate analysis of variance was performed to determine the differences in community composition among protected areas. Network analysis was performed to assess robustness within each marine protected area.
Results: A total of 71 samples were obtained, including 5,069,193 reads and 46,309 MOTUs, from six protected areas in different seasons. Further analysis revealed that the abundance of MOTUs shared between protected areas accounted for more than 40% of the total MOTUs abundance. Although the environments differed significantly among protected areas, there were no spatial differences in biodiversity and community structure among protected areas (P > 0.05), and only seasonal differences observed. DTD, SHW and YH had a more complex network structure, while MZD and PTD were relatively simpler.
Conclusion: The results of the study suggest that there is a strong connectivity among these protected areas, which has the potential to establish a network of marine protected areas. The community network structures of the protected areas reveal that the protection effects vary from different protected areas, which may be related to the size and management of the protected areas. This study not only provides a reference for the study of nearshore community connectivity in the East China Sea, but also offers direct support for the management and construction of protected areas network in East China Sea.

Key words: marine protected areas, protected area networks, environmental DNA, network analysis, connectivity, biodiversity

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