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Predicting connectivity of green turtles at Palmyra Atoll central Pacific: a focus on mtDNA and dispersal modelling

机译:预测中部太平洋巴尔米拉环礁的绿海龟的连通性:以mtDNA和扩散建模为重点

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摘要

Population connectivity and spatial distribution are fundamentally related to ecology, evolution and behaviour. Here, we combined powerful genetic analysis with simulations of particle dispersal in a high-resolution ocean circulation model to investigate the distribution of green turtles foraging at the remote Palmyra Atoll National Wildlife Refuge, central Pacific. We analysed mitochondrial sequences from turtles (n = 349) collected there over 5 years (2008–2012). Genetic analysis assigned natal origins almost exclusively (approx. 97%) to the West Central and South Central Pacific combined Regional Management Units. Further, our modelling results indicated that turtles could potentially drift from rookeries to Palmyra Atoll via surface currents along a near-Equatorial swathe traversing the Pacific. Comparing findings from genetics and modelling highlighted the complex impacts of ocean currents and behaviour on natal origins. Although the Palmyra feeding ground was highly differentiated genetically from others in the Indo-Pacific, there was no significant differentiation among years, sexes or stage-classes at the Refuge. Understanding the distribution of this foraging population advances knowledge of green turtles and contributes to effective conservation planning for this threatened species.
机译:人口连通性和空间分布从根本上与生态,进化和行为有关。在这里,我们将强大的遗传分析与高分辨率海洋环流模型中的颗粒扩散模拟相结合,以研究偏远地区中部帕尔米拉环礁国家野生动物保护区觅食的绿海龟的分布。我们分析了过去5年(2008-2012年)从那里收集的海龟(n = 349)的线粒体序列。遗传分析几乎将出生起源(约97%)分配给了中西部太平洋和中南部太平洋地区管理单位。此外,我们的模拟结果表明,海龟可能会沿着近赤道绕太平洋穿越地表水流,从群居地转移到巴尔米拉环礁。比较遗传学和模型的发现,强调了洋流和行为对出生地的复杂影响。尽管在印度洋和太平洋地区,巴尔米拉(Palmyra)的觅食地与其他物种之间存在高度的遗传差异,但在避难所的年龄,性别或阶段级别之间并没有明显的差异。了解该觅食种群的分布情况可增进对绿海龟的了解,并有助于对该濒危物种进行有效的保护规划。

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