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首页> 外文期刊>Marine biology >Appropriate morphometrics for the first assessment of juvenile green turtle (Chelonia mydas) age and growth in the south-western Atlantic
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Appropriate morphometrics for the first assessment of juvenile green turtle (Chelonia mydas) age and growth in the south-western Atlantic

机译：适当的形态计量学，首次评估西南大西洋沿岸的绿海龟（Chelonia mydas）的年龄和生长

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In response to an absence of size-at-age information for juvenile Chelonia mydas in the South Atlantic Ocean, but the need for such regional data to support global ecological monitoring and conservation actions, skeletochronological analyses (using humeri) were under-taken for 63 stranded dead specimens (30.0-58.0 cm curved carapace length-CCL) collected between 2008 and 2013 from 40 km of beaches off southern Brazil. Specimens were defined as being 2-8 years old and from various nesting sites (based on mitochondrial haplotypes). Parametric mixed-effect models were used to examine variation among CCL, maximum humeral length (MHL) and medial humeral width (MHW) due to age (fitted with a natural cubic smoothing spline), genetic haplotype and various random factors. Genetic haplotype was not significant and subsequently removed from analyses. All three size-at-age parameters had random variability, but changes in somatic C. mydas growth described by MHW were less representative than the others, remaining constant through a linear relationship with age. By contrast, both CCL and the preferred MHL similarly displayed positive exponential-shaped splines, with age-specific growth rates (3- to 7-year-olds) predicted at 1.4-3.4 cm year(-1) CCL or 0.2-0.7 cm year(-1) MHL. The observed CCL growth was comparable to recent estimates for other global populations, but with southern Brazilian C. mydas generally having larger sizes-at-age. Such intra-population differences can be attributed not only to regional prerecruitment environmental parameters and associated ecological implications (e.g. foraging ecology), but also divergent analytical methods. The choice of the latter to accurately model variable growth rates has implications for comparing size-at-age among other sea-turtle populations.
机译：由于缺乏关于南大西洋少年螯虾的按年龄分类的信息，但由于需要这种区域数据来支持全球生态监测和保护行动，因此对63个年代进行了骨架年代学分析（使用肱骨）。在2008年至2013年之间，从巴西南部沿海40公里的海滩上收集了滞留的死亡标本（弯曲的甲壳长30.0-58.0厘米，CCL）。标本定义为2-8岁，来自不同的巢穴（基于线粒体单倍型）。使用参数混合效应模型检查由于年龄（拟合自然立方平滑样条），遗传单倍型和各种随机因素导致的CCL，最大肱骨长度（MHL）和内侧肱骨宽度（MHW）之间的差异。遗传单倍型不显着，随后从分析中删除。所有这三个年龄参数均具有随机变异性，但是由MHW描述的体细胞梭状芽胞杆菌生长的变化不如其他代表，通过与年龄的线性关系保持恒定。相比之下，CCL和首选的MHL都显示出相似的正指数样条，且特定年龄的增长率（3至7岁）预计为1.4-3.4 cm年（-1）CCL或0.2-0.7 cm MHL年（-1）。观察到的CCL增长与其他全球人口的最新估计相当，但巴西南部的Mydas年龄通常较大。这种人口内部差异不仅可以归因于区域招募前的环境参数和相关的生态影响（例如觅食生态），还可以归因于不同的分析方法。选择后者来精确地模拟可变增长率对在其他海龟种群之间比较年龄大小具有影响。

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    《Marine biology》 |2016年第12期|254.1-254.15|共15页
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    Andrade Mariane F.; Domit Camila; Broadhurst Matt K.; Tolhurst Daniel J.; Silva-Souza Angela T.;

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    Univ Estadual Londrina, Programa Posgrad Ciencias Biol, Ave Celso Garcia Cid,Pr 445 Km 380, BR-86057970 Londrina, Parana, Brazil|Univ Estadual Londrina, Lab Ecol Parasitos Organismos Aquat, Ave Celso Garcia Cid,Pr 445 Km 380, BR-86057970 Londrina, Parana, Brazil|Univ Fed Parana, Lab Ecol & Conservacao, Ctr Estudos Mar, Ave Beira Mar S-N,POB 61, BR-83255000 Pontal Do Parana, Parana, Brazil;

    Univ Estadual Londrina, Programa Posgrad Ciencias Biol, Ave Celso Garcia Cid,Pr 445 Km 380, BR-86057970 Londrina, Parana, Brazil|Univ Fed Parana, Lab Ecol & Conservacao, Ctr Estudos Mar, Ave Beira Mar S-N,POB 61, BR-83255000 Pontal Do Parana, Parana, Brazil;

    New South Wales Dept Primary Ind, Fisheries Conservat Technol Unit, POB 4321, Coffs Harbour, NSW 2450, Australia|Univ Queensland, Sch Biol Sci, Marine & Estuarine Ecol Unit, Brisbane, Qld 4072, Australia;

    Univ Wollongong, Sch Math & Appl Stat, Fac Engn & Informat Sci, Wollongong, NSW 2522, Australia;

    Univ Estadual Londrina, Programa Posgrad Ciencias Biol, Ave Celso Garcia Cid,Pr 445 Km 380, BR-86057970 Londrina, Parana, Brazil|Univ Estadual Londrina, Lab Ecol Parasitos Organismos Aquat, Ave Celso Garcia Cid,Pr 445 Km 380, BR-86057970 Londrina, Parana, Brazil;

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