Thomas Stephen M, Crowther Thomas W
Department of Environmental Sciences, University of Helsinki, P.O. Box 65, Helsinki, FI-00014, Finland.
Yale School of Forestry and Environmental Studies, Yale University, 370 Prospect St, New Haven, CT, USA.
J Anim Ecol. 2015 May;84(3):861-870. doi: 10.1111/1365-2656.12326. Epub 2015 Jan 8.
The stable isotopes of carbon ((12)C, (13)C) and nitrogen ((14)N, (15)N) represent powerful tools in food web ecology, providing a wide range of dietary information in animal consumers. However, identifying the temporal window over which a consumer's isotopic signature reflects its diet requires an understanding of elemental incorporation, a process that varies from days to years across species and tissue types. Though theory predicts body size and temperature are likely to control incorporation rates, this has not been tested empirically across a morphologically and phylogenetically diverse range of taxa. Readily available estimates of this relationship would, however, aid in the design of stable isotope food web investigations and improve the interpretation of isotopic data collected from natural systems. Using literature-derived turnover estimates from animal species ranging in size from 1 mg to 2000 kg, we develop a predictive tool for stable isotope ecologists, allowing for estimation of incorporation rates in the structural tissues of entirely novel taxa. In keeping with metabolic scaling theory, we show that isotopic turnover rates of carbon and nitrogen in whole organisms and muscle tissue scale allometrically with body mass raised approximately to the power -0.19, an effect modulated by body temperature. This relationship did not, however, apply to incorporation rates in splanchnic tissues, which were instead dependent on the thermoregulation tactic employed by an organism, being considerably faster in endotherms than ectotherms. We believe the predictive turnover equations we provide can improve the design of experiments and interpretation of results obtained in future stable isotopic food web studies.
碳((^{12}C)、(^{13}C))和氮((^{14}N)、(^{15}N))的稳定同位素是食物网生态学中的有力工具,可为动物消费者提供广泛的饮食信息。然而,要确定消费者同位素特征反映其饮食的时间窗口,需要了解元素的纳入过程,这一过程在不同物种和组织类型中从几天到几年不等。尽管理论预测体型和温度可能控制纳入速率,但尚未在形态学和系统发育上多样化的分类群中进行实证检验。然而,对这种关系的现成估计将有助于稳定同位素食物网调查的设计,并改善对从自然系统收集的同位素数据的解释。利用从体重从1毫克到2000千克不等的动物物种的文献得出的周转估计值,我们为稳定同位素生态学家开发了一种预测工具,可用于估计全新分类群结构组织中的纳入速率。与代谢比例理论一致,我们表明,整个生物体和肌肉组织中碳和氮的同位素周转速率与体重呈异速生长关系,体重的幂约为 -0.19,这种效应受体温调节。然而,这种关系不适用于内脏组织的纳入速率,内脏组织的纳入速率反而取决于生物体采用的体温调节策略,恒温动物的速率比变温动物快得多。我们相信,我们提供的预测周转方程可以改进未来稳定同位素食物网研究中的实验设计和结果解释。