生物多样性 ›› 2024, Vol. 32 ›› Issue (5): 23453.  DOI: 10.17520/biods.2023453  cstr: 32101.14.biods.2023453

• 综述 • 上一篇    下一篇

中国海洋生物地理学研究进展和热点: 物种分布模型及其应用

董云伟1,*()(), 鲍梦幻1(), 程娇2(), 陈义永3(), 杜建国4(), 高养春5(), 胡利莎1(), 李心诚6(), 刘春龙1(), 秦耿7(), 孙进8(), 王信7(), 杨光2(), 张崇良1(), 张雄9(), 张宇洋1(), 张志新7(), 战爱斌3(), 贺强6(), 孙军10,11(), 陈彬4(), 沙忠利2(), 林强7()   

  1. 1.中国海洋大学水产学院教育部海水养殖重点实验室, 山东青岛 266003
    2.中国科学院海洋研究所, 山东青岛 266071
    3.中国科学院生态环境研究中心, 北京 100085
    4.自然资源部第三海洋研究所, 福建厦门 361005
    5.广东省科学院动物研究所, 广州 510260
    6.复旦大学生命科学学院生物多样性与生态工程教育部重点实验室, 上海 200438
    7.中国科学院南海海洋研究所, 广州 510301
    8.中国海洋大学海洋生物多样性与进化研究所, 山东青岛 266003
    9.中山大学生态学院, 广东深圳 518000
    10.中国地质大学(武汉)广州南沙地大滨海研究院, 广州 511462
    11.中国地质大学(武汉)生物地质与环境地质国家重点实验室, 武汉 430074
  • 收稿日期:2023-11-30 接受日期:2024-02-24 出版日期:2024-05-20 发布日期:2024-03-02
  • 通讯作者: E-mail: dongyw@ouc.edu.cn
  • 基金资助:
    国家自然科学基金(42025604);广东省自然科学基金(2022A1515010640)

Advances of marine biogeography in China: Species distribution model and its applications

Yunwei Dong1,*()(), Menghuan Bao1(), Jiao Cheng2(), Yiyong Chen3(), Jianguo Du4(), Yangchun Gao5(), Lisha Hu1(), Xincheng Li6(), Chunlong Liu1(), Geng Qin7(), Jin Sun8(), Xin Wang7(), Guang Yang2(), Chongliang Zhang1(), Xiong Zhang9(), Yuyang Zhang1(), Zhixin Zhang7(), Aibin Zhan3(), Qiang He6(), Jun Sun10,11(), Bin Chen4(), Zhongli Sha2(), Qiang Lin7()   

  1. 1 Key Laboratory of Mariculture of Ministry of Education, Fisheries College, Ocean University of China, Qingdao, Shandong 266003
    2 Institute of Oceanology, Chinese Academy of Sciences, Qingdao, Shandong 266071
    3 Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085
    4 Third Institute of Oceanography, Ministry of Natural Resources, Xiamen, Fujian 361005
    5 Institute of Zoology, Guangdong Academy of Sciences, Guangzhou 510260
    6 Ministry of Education Key Laboratory of Biodiversity Science and Ecological Engineering, School of Life Sciences, Fudan University, Shanghai 200438
    7 South China Sea Institute of Oceanography, Chinese Academy of Sciences, Guangzhou 510301
    8 Institute of Evolution & Marine Biodiversity, Ocean University of China, Qingdao, Shandong 266003
    9 School of Ecology, Sun Yat-sen University, Shenzhen, Guangdong 518000
    10 Institute for Advanced Marine Research, China University of Geosciences, Guangzhou 511462
    11 State Key Laboratory of Biogeology and Environmental Geology, China University of Geoscience, Wuhan 430074
  • Received:2023-11-30 Accepted:2024-02-24 Online:2024-05-20 Published:2024-03-02
  • Contact: E-mail: dongyw@ouc.edu.cn

摘要:

海洋生物地理学是研究海洋生物地理分布时空格局、形成过程及其影响因素的学科, 对于生物多样性保护、生态系统结构稳定以及海洋资源可持续利用具有重要支撑作用。物种分布模型是研究物种地理分布变化的重要手段, 其发展对于海洋生物地理学的发展具有重要的推动作用。本文综述了中国海洋生物地理学的发展历程和现状; 提供了物种分布模型的定义、类型、发展历程及相关重要数据库; 整理分析了中国海洋生物地理学研究中的部分热点问题, 主要涉及全球变化下海洋生物分布区变化、海洋生物谱系地理结构、海洋生物入侵、种群连通性、海洋保护规划、海洋生态修复、海洋生物对极端环境适应、海洋渔业资源管理和海水养殖规划等。本文同时对海洋生物地理学研究的未来发展进行了展望, 强调了改进物种分布模型的重要性, 提出要强化环境和生物数据库建设, 加强海洋生物地理学与其他学科的交叉融合等。本综述对于今后我国海洋生物地理学的研究, 尤其是物种分布模型在相关领域中的应用具有参考价值。

关键词: 海洋生物分布, 生物地理区划, 相关模型, 机理模型, 全球变化, 生物地理学

Abstract

Background & Aim: Marine biogeography is a subject investigating the spatiotemporal distributions of marine organisms and the processes and drivers of changes in species distributions. Research in marine biogeography is promising for the conservation of marine biodiversity and the stability of ecosystem functioning and crucial for the sustainability of utilizing marine resources. Species distribution models (SDMs) are an important tool for assessing and predicting the biogeographical changes in marine species distributions.

Progresses: This review consists of three main parts: (1) the development process and current status of marine biogeography studies in China; (2) the commonly used approaches to answer the questions related to marine biogeography with a special focus on SDMs; (3) the research trends and hotspots of marine biogeography studies in China, mainly concerning the shifts in species distribution under global changes, phylogeography of marine species, biological invasion, population connectivity, marine conservation planning, marine ecological restoration and recovery, adaptation of marine species to extreme environments, as well as management of marine fisheries and mariculture planning.

Prospects: In this review, we further outlined the prospects for the future development of marine biogeography and emphasized the importance of optimizing SDMs. We also called for developing comprehensive databases of marine environments and organisms to strengthen the integration of marine biogeography with other disciplines. We hope this review will provide useful insights for the studies of marine biogeography in China.

Key words: marine species distribution, biogeographic regionalization, correlative model, mechanistic model, global change, biogeography