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应用生态学报 ›› 2026, Vol. 37 ›› Issue (6): 2020-2030.doi: 10.13287/j.1001-9332.202606.032

• 研究论文 • 上一篇    下一篇

中国近海具刺环胺藻分布及其对气候变化的响应

金睿1,2, 罗肇河2,4, 刘璇5, 刘锦荃2, 苏尚柯2, 杜虹1, 杜建国3, 康建华2, 胡文佳2*   

  1. 1汕头大学海洋灾害预警与防护广东省重点实验室, 广东汕头 515063;
    2自然资源部第三海洋研究所海洋生态保护与修复重点实验室, 福建厦门 361005;
    3APEC海洋可持续发展研究中心, 福建厦门 361005;
    4厦门理工学院, 福建厦门 361024;
    5福建农林大学海洋学院, 海水养殖生物育种全国重点实验室/福建省海洋生物技术重点实验室, 福州 350002
  • 收稿日期:2025-11-26 修回日期:2026-04-22 出版日期:2026-06-18 发布日期:2026-12-18
  • 通讯作者: *E-mail: huwenjia@tio.org.cn
  • 作者简介:金 睿, 男, 2000年生, 硕士研究生。主要从事海洋保护生态学研究。E-mail: xiaojinlabi@gmail.com
  • 基金资助:
    国家自然科学基金项目(42576260,42276219)、国家重点研发计划项目(2019YFE0124700)和福建省自然科学重点基金(2024J02023)

Distribution of Azadinium spinosum in Chinese coastal waters and its response to climate change

JIN Rui1,2, LUO Zhaohe2,4, LIU Xuan5, LIU Jinquan2, SU Shangke2, DU Hong1, DU Jianguo3, KANG Jianhua2, HU Wenjia2*   

  1. 1Guangdong Provincial Key Laboratory of Marine Disaster Prediction and Prevention, Shantou University, Shantou 515063, Guangdong, China;
    2Key Laboratory of Marine Ecological Conservation and Restoration, Third Institute of Oceanography, Ministry of Natural Resources, Xiamen 361005, Fujian, China;
    3APEC Marine Sustainable Development Center, Xiamen 361005, Fujian, China;
    4Xiamen University of Technology, Xiamen 361024, Fujian, China;
    5State Key Laboratory of Mariculture Breeding/Fujian Key Laboratory of Marine Biotechnology, College of Marine Sciences, Fujian Agriculture and Forestry University, Fuzhou 350002, China
  • Received:2025-11-26 Revised:2026-04-22 Online:2026-06-18 Published:2026-12-18

摘要: 氮杂螺环酸毒素是发现时间最晚的一类主要海洋贝毒,其重要产毒藻种具刺环胺藻在中国近海的分布格局及其气候变化响应尚不明确。本研究根据中国近海600个站位的环境DNA调查结果获取了该藻种的分布记录,结合相关环境数据,利用MaxEnt模型研究其当前情景下的分布特征,并预测其在SSP1-2.6、SSP2-4.5、SSP5-8.5气候情景下2050和2100年代的分布变化。结果表明:1)硝酸盐浓度(贡献度50.6%)和海表温度(贡献度28.0%)是决定具刺环胺藻分布的主导因子;2)当前具刺环胺藻在中国近海的潜在分布区主要集中在南海和东海,总面积171.36 万km2,其中,南海占58.2%,东海占34.7%;3)不同气候情景下,2050年代具刺环胺藻潜在的分布面积将缩减9.8%~22.0%,其中,SSP5-8.5气候情景下缩减幅度最大,分布质心将由南海北部向东北方向移动至东海;2100年代分布面积将进一步缩减17.7%~38.9%,其中,SSP5-8.5气候情景下的分布面积最小,仅为104.77 万km2,分布边缘呈现明显的南缩北扩趋势,分布质心进一步向东北移动,在SSP5-8.5气候情景下最远可到达黄海。

关键词: 具刺环胺藻, MaxEnt模型, 气候变化, 物种分布, 生态风险

Abstract: Azaspiracid toxins are the most recently discovered group of major marine shellfish toxins. Azadinium spinosum is a key species producing azaspiracid toxins. The distribution pattern of Azadinium spinosum and its response to climate change remain unclear in China’s coastal waters. We obtained distribution records of this species based on environmental DNA survey from 600 stations across China’s coastal waters. Then, by combining relevant environmental data with the MaxEnt model, we investigated its distribution characteristics under current conditions and predicted its distribution under three climate scenarios (SSP1-2.6, SSP2-4.5, and SSP5-8.5) for the 2050s and 2100s. The results showed that: 1) Nitrate concentration (contribution rate of 50.6%) and sea surface temperature (contribution rate of 28.0%) were the dominant factors determining the distribution of A. spinosum in China’s coastal waters. 2) Its current potential distribution areas mainly concentrate in the South China Sea and the East China Sea. The total area is 1.7136 million km2, of which the South China Sea accounted for 58.2% and the East China Sea for 34.7%. 3) Under different climate scenarios, the potential distribution area of A. spinosum would shrink by 9.8%-22.0% by the 2050s, with the greatest reduction occurring under the SSP5-8.5 scenario, while the distribution centroid shifting northeastward from the northern South China Sea to the East China Sea. By the 2100s, the distribution area would further shrink by 17.7%-38.9%, with the smallest area occurring under the SSP5-8.5 scenario (1.0477 million km2). The distribution margins exhibit a pronounced “southern contraction and northern expansion” trend, while the distribution centroid shift further northeastward, potentially reaching the Yellow Sea under the SSP5-8.5 scenario.

Key words: Azadinium spinosum, MaxEnt model, climate change, species distribution, ecological risk