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Abundance and site fidelity of bottlenose dolphins off a remote oceanic island (Reunion Island, southwest Indian Ocean)
Marine Mammal Science ( IF 2.0 ) Pub Date : 2020-04-20 , DOI: 10.1111/mms.12693
Vanessa Estrade 1 , Violaine Dulau 1
Affiliation  

This study represents the first comprehensive assessment of the population dynamics and residency of common bottlenose dolphin around Reunion Island (southwest Indian Ocean). Understanding dynamics and movement patterns of this local population is essential to guide effective conservation efforts, notably in a context of growing dolphin‐watching activities. Dedicated surveys based on photo‐identification methods were conducted over 6 years (2010–2015). The species was present year‐round, in groups of 25 individuals on average (1–150). Jolly‐Seber mark‐recapture models resulted in a population estimate of 254 individuals (95% CI = 191–337) and an apparent annual survival rate of 0.83. The population was almost equally split into three residency patterns: residents (33.1%), long‐term visitors (32.6%), and short‐term visitors (34.3%, including transients, i.e., individuals only seen once [14.9%]), suggesting that the majority of the population showed a moderate‐to‐high level of residency in the study area. Individuals from the three residency patterns associated randomly, mixing together and forming a single community. Models based on the lagged identification rate indicated emigration and reimmigration to the survey area, with some individuals occupying the study area for about 2 years (832 days), and remaining outside for an average of 276 days, probably exhibiting larger home ranges and extensive movement behavior.

中文翻译:

遥远的海洋岛屿(印度洋西南部留尼汪岛)附近的宽吻海豚的数量和位置保真度

这项研究代表了对留尼汪岛(西南印度洋)周围常见宽吻海豚种群动态和居住地的首次全面评估。了解当地居民的动态和运动方式对于指导有效的保护工作至关重要,特别是在海豚观赏活动不断增加的情况下。基于照片识别方法的专用调查进行了6年(2010-2015年)。该物种全年存在,平均每组25个(1–150)。Jolly-Seber标记夺回模型得出的人口估计为254个人(95%CI = 191-337),表观年生存率为0.83。人口几乎平均分为三种居住模式:居民(33.1%),长期游客(32.6%)和短期游客(34.3%,包括瞬态现象,即个体只见过一次[14.9%]),这表明大多数人口在研究区域内表现出中等到较高的居住水平。来自三种居住模式的个人随机关联,混合在一起并形成一个社区。基于滞后识别率的模型表明移民和重新移民到调查区域,一些人在研究区域居住了大约2年(832天),平均在外面呆了276天,这可能显示出较大的住所范围和广泛的迁徙行为。混合在一起并形成一个单一的社区。基于滞后识别率的模型表明移民和重新移民到调查区域,一些人在研究区域居住了大约2年(832天),平均在外面呆了276天,这可能显示出较大的住所范围和广泛的迁徙行为。混合在一起并形成一个单一的社区。基于滞后识别率的模型表明移民和重新移民到调查区域,一些人在研究区域居住了大约2年(832天),平均在外面呆了276天,这可能显示出较大的住所范围和广泛的迁徙行为。
更新日期:2020-04-20
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