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Calibration chain transformation improves the comparability of organic hydrogen and oxygen stable isotope data
Methods in Ecology and Evolution ( IF 6.3 ) Pub Date : 2021-01-17 , DOI: 10.1111/2041-210x.13556
S Magozzi 1, 2 , CP Bataille 3 , KA Hobson 4 , WB Wunder 5 , JD Howa 6 , A Contina 5 , HB Vander Zanden 7 , GJ Bowen 1
Affiliation  

  1. Stable hydrogen and oxygen isotopic compositions (δ2H and δ18O, respectively) of animal tissues have been used to infer geographical origin or mobility based on the premise that the isotopic composition of tissue is systematically related to that of local water sources. Isotopic data for known‐origin samples are required to quantify these tissue–environment relationships. Although many of such data have been published and could be reused by researchers, differences in the standards used for calibration and analytical procedures for different datasets limit the comparability of these data.
  2. We develop an algorithm that uses results from comparative analysis of secondary standards to transform data among reference scales and estimate the uncertainty inherent in these transformations. We apply the algorithm to a compilation of known‐origin keratin data published over the past ~20 years.
  3. We show that transformation improves the comparability of data from different laboratories, and that the transformed data suggest ecophysiologically meaningful differences in keratin–water relationships among different animal groups and taxa.
  4. The compiled data and algorithms are freely available in the ASSIGNR r‐package to support geographical provenance research, and more generally offer a methodology overcoming several challenges in geochemical data integration and reuse.


中文翻译:

校准链转换可提高有机氢和氧稳定同位素数据的可比性

  1. 稳定的氢,氧同位素组成(δ 2 H和δ 18动物组织的O,分别)已经被用来推断基于的前提是组织的同位素组成的系统与该本地水源地理来源或迁移率。需要使用已知来源样品的同位素数据来量化这些组织与环境之间的关系。尽管许多此类数据已经发布,并且可以被研究人员重用,但是用于不同数据集的校准和分析程序所用标准的差异限制了这些数据的可比性。
  2. 我们开发了一种算法,该算法使用二级标准的比较分析结果在参考量表之间转换数据,并估算这些转换中固有的不确定性。我们将该算法应用于过去20年来发布的已知来源的角蛋白数据的汇编。
  3. 我们表明,转化改善了来自不同实验室的数据的可比性,并且转化后的数据表明不同动物群和分类群之间的角蛋白-水关系在生态生理学上有意义的差异。
  4. 可以在ASSIGNR r软件包中免费获得已编译的数据和算法,以支持地理来源研究,并且更普遍地提供了一种克服地球化学数据集成和重用中的若干挑战的方法。
更新日期:2021-01-17
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