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Abundance and residency dynamics of the Indo-Pacific humpback dolphin, Sousa chinensis, in the Dafengjiang River Estuary, China

机译:中国民主区苏州山区的丰富和居住动态,苏莎中华民族,在中国大丰江河口

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摘要

Robust population size estimates are essential for informing population conservation status. Residency dynamics show population habitat use through time. Population size of Indo-Pacific humpback dolphins (Sousa chinensis) has been extensively investigated in Chinese waters, but their residency dynamics are rarely known. Mark-recapture analysis based on photo-identification records was applied to humpback dolphins in the Dafengjiang River Estuary habitat, one of the key habitats in the northern Beibu Gulf, China. Movement analyses based on lagged identification rate indicated the humpback dolphins spent, on average, 78.5 days inside and 46.9 days outside the survey area. Within the study area, the humpback dolphin abundance was 83 identifiable dolphins. A total of 353-430 humpback dolphins, estimated by POPAN modeling, were involved in this fluid habitat-use dynamic. Robust Design analysis showed strong seasonality in humpback dolphin abundance and emigration probability, implying a movement- and habitat-use pattern likely associated with spatiotemporal distribution of oceanographic characteristics and prey occurrences. Population surveys and conservation measures currently conducted in Chinese waters seldom consider seasonality in movements between habitat patches, which can be addressed by genetic analyses across habitats and cross-matching photo-identification records among neighboring habitats.
机译:强大的人口大小估计对于通知人口保护地位至关重要。 Residency Dynamics显示人口栖息地通过时间使用。在中国水域中广泛调查了印度太平洋驼背海豚(Sousa Chinensis)的人口规模,但居住动态很少被众所周知。基于照片识别记录的标志 - 重新捕获分析应用于大丰江河口栖息地的驼背海豚,是中国北部北部北部的关键栖息地之一。基于滞后的识别率的运动分析表明,驼背海豚平均而言,在调查区以外的78.5天和46.9天。在研究区内,驼背海豚丰度是83个可识别的海豚。共有353-430座驼背海豚由波兰语建模估计,参与了这种流体栖息地使用动态。稳健的设计分析显示出驼背海豚丰富和移民概率的强烈季节性,暗示可能与海洋特征和猎物出现的时空分布相关的运动和栖息地使用模式。中国水域目前进行的人口调查和保护措施很少考虑栖息地补丁之间运动的季节性,这可以通过栖息地的遗传分析和邻近栖息地之间的交叉匹配照片记录来解决。

著录项

  • 来源
    《Marine Mammal Science》 |2020年第2期|共15页
  • 作者单位

    Beibu Gulf Univ Guangxi Key Lab Beibu Gulf Marine Biodivers Conse Qinzhou Peoples R China;

    Beibu Gulf Univ Guangxi Key Lab Beibu Gulf Marine Biodivers Conse Qinzhou Peoples R China;

    Minist Nat Resources Inst Oceanog 3 Lab Marine Biol &

    Ecol 178 Daxue Rd Xiamen 361005 Fujian Peoples R China;

    Shandong Univ Weihai Ocean Coll Weihai Peoples R China;

    Clymene Enterprises Lakeside CA USA;

    Beibu Gulf Univ Guangxi Key Lab Beibu Gulf Marine Biodivers Conse Qinzhou Peoples R China;

    Beibu Gulf Univ Guangxi Key Lab Beibu Gulf Marine Biodivers Conse Qinzhou Peoples R China;

    Beibu Gulf Univ Guangxi Key Lab Beibu Gulf Marine Biodivers Conse Qinzhou Peoples R China;

    Beibu Gulf Univ Guangxi Key Lab Beibu Gulf Marine Biodivers Conse Qinzhou Peoples R China;

    Guangxi Acad Sci Guangxi Beibu Gulf Marine Res Ctr 98 Dalin Rd Nanning 530000 Guangxi Peoples R China;

    Beibu Gulf Univ Guangxi Key Lab Beibu Gulf Marine Biodivers Conse Qinzhou Peoples R China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 水生生物学;
  • 关键词

    age-class structure; Markovian emigration; photo-identification; POPAN; Robust Design;

    机译:年龄阶级结构;马尔可夫移民;照片识别;波兰人;强大的设计;

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