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应用生态学报 ›› 2025, Vol. 36 ›› Issue (1): 311-317.doi: 10.13287/j.1001-9332.202501.034

• 研究报告 • 上一篇    下一篇

小须鲸季节分布和种群迁徙廊道预测

邢衍阔, 鹿志创, 杜静, 高祥刚, 王震, 田甲申*   

  1. 辽宁省海洋水产科学研究院, 大连市濒危海洋哺乳动物保护生物学重点实验室, 辽宁大连 116023
  • 收稿日期:2024-04-18 修回日期:2024-11-14 出版日期:2025-01-18 发布日期:2025-07-18
  • 通讯作者: *E-mail: tianjiashen@163.com
  • 作者简介:邢衍阔, 男, 1997年生, 硕士研究生。主要从事海洋珍稀动物保护研究。E-mail: xingyankuo@163.com
  • 基金资助:
    中国海油海洋环境与生态保护公益基金项目(CF-MEEC/TR/2024-3)和辽宁省海洋与渔业厅科研项目(201832)

Prediction analysis of seasonal distribution and population migration corridor of Balaenoptera acutorostrata

XING Yankuo, LU Zhichuang, DU Jing, GAO Xianggang, WANG Zhen, TIAN Jiashen*   

  1. Dalian Key Laboratory of Conservation Biology for Endangered Marine Mammals, Liaoning Ocean and Fisheries Science Research Institute, Dalian 116023, Liaoning, China
  • Received:2024-04-18 Revised:2024-11-14 Online:2025-01-18 Published:2025-07-18

摘要: 小须鲸作为我国一级保护动物,被列入IUCN目录和CITES附录中,广泛分布在全球各个海域,并在不同海域迁徙洄游。受环境变化和人类活动影响,小须鲸已成为世界上最濒危的分类群之一。为了进一步了解小须鲸的分布和洄游廊道,本研究使用小须鲸记录数据和7个环境变量数据,构建季节性物种组合分布模型来预测小须鲸的适宜栖息地,并通过电路连通理论和最小成本路径分析预测其季节性迁移廊道。结果表明: 小须鲸季节分布模型表现良好,其季节分布存在显著差异,整体上呈现为春夏季节向高纬度移动、秋冬季节向低纬度移动;温度和深度是影响小须鲸季节分布变化的重要因子;小须鲸迁徙廊道具有明显季节性,主要位于近岸浅水海域,不同季节存在多条迁徙廊道,连接各适宜栖息地。本研究表明,采用物种分布模型和连通性分析预测海洋动物迁徙廊道具有可行性,可对小须鲸的适应性保护和管理策略提供参考。

关键词: 小须鲸, 季节分布, 迁徙廊道, 预测, 保护

Abstract: Balaenoptera acutorostrata, as a first-class protected animal in China, is listed in the IUCN catalogue and the CITES appendix. They migrate in various sea areas around the world. Driven by environmental change and human activities, it has become one of the most endangered taxa globally. To further understand the distribution and migratory corridors of B. acutorostrata, we assessed their suitable habitats by establishing a seasonal species combining distribution model based on utilized data records and seven environmental variables, as well as their seasonal migration corridor by circuit connectivity theory and least-cost path analysis. The results showed that the established seasonal distribution model performed well. There were significant differences in the seasonal distribution of B. acutorostrata, with an overall trend of shifting towards higher latitudes in spring and summer, and towards lower latitudes in autumn and winter. Temperature and sea depth were important factors affecting the seasonal distribution of B. acutorostrata. The migration corridor showed strong seasonality, mainly located in shallow coastal waters. There were multiple migration corridors in different seasons to connect suitable habitats. This study demonstrated the feasibility of using species distribution models and connectivity analysis to predict the migratory corridors of marine animals, which could provide essential knowledge for adaptive conservation and management strategies of B. acutorostrata.

Key words: Balaenoptera acutorostrata, seasonal distribution, migration corridor, prediction, protection