Beyond the reaction progress variable: the meaning and significance of isotopic incorporation data

Beyond the reaction progress variable: the meaning and significance of isotopic incorporation data
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DOI:
10.1007/s00442-008-1040-z
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发表时间:
2008-07-01
期刊:
影响因子:
2.7
通讯作者:
Anderson-Sprecher, Richard
Anderson-Sprecher, Richard
中科院分区:
环境科学与生态学2区
文献类型:
--
作者:
del Rio, Carlos Martinez;Anderson-Sprecher, Richard

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生态学家进行同位素掺入实验,以确定各种稳定同位素在动物组织中的停留时间。这些实验可以确定同位素生态学家感知饮食变化过程的时间窗口,从而确定我们可以从同位素数据中做出的推断的规模。直到最近,这些实验的结果分析使用一阶,一室模型。Cerling等人(Oecologia 151:175-189,2007)提出了一种他们命名为反应进程变量的方法,以:(1)确定需要多少隔室来描述异位掺入的模式,以及(2)估计每个池的大小和速率常数。我们详细阐述了Cerling等人(Oecologia 151:175-189,2007)描述的方法,提供了一种方法来估计平均保留时间的同位素在组织(及其相关的误差)的多室模型。我们也有资格的解释,在多室模型中的参数显示,许多可能的机制产生的模型具有相同的功能形式。多室模型是对掺入数据的现象学描述,而不是机械描述。最后,我们建议使用信息理论的标准来评估的隔间,必须包括在模型中的同位素掺入的数量。
Ecologists conduct isotopic incorporation experiments to determine the residence time of various stable isotopes in animal tissues. These experiments permit determining the time window through which isotopic ecologists perceive the course of diet changes, and therefore the scale of the inferences that we can make from isotopic data. Until recently, the results of these experiments were analyzed using first-order, one-compartment models. Cerling et al. (Oecologia 151:175-189, 2007) proposed an approach they named the reaction progress variable to: (1) determine how many compartments are needed to describe a pattern of istopic incorporation, and (2) to estimate the size and rate constant of each pool. We elaborate on the approach described by Cerling et al. (Oecologia 151:175-189, 2007) by providing a way to estimate average retention times for an isotope in a tissue (and its associate error) for multi-compartment models. We also qualify the interpretation of the parameters in multi-compartment models by showing that many possible mechanisms yield models with the same functional form. Multi-compartment models are phenomenological, rather than mechanistic descriptions, of incorporation data. Finally, we propose the use of information theoretic criteria to assess the number of compartments that must be included in models of isotopic incorporation.