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Stable nitrogen isotopic composition of amino acids reveals food web structure in stream ecosystems.

机译:氨基酸的稳定氮同位素组成揭示了河流生态系统中的食物网结构。

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摘要

The stable N isotopic composition of individual amino acids (SIAA) has recently been used to estimate trophic positions (TPs) of animals in several simple food chain systems. However, it is unknown whether the SIAA is applicable to more complex food web analysis. In this study we measured the SIAA of stream macroinvertebrates, fishes, and their potential food sources (periphyton and leaf litter of terrestrial C3 plants) collected from upper and lower sites in two streams having contrasting riparian landscapes. The stable N isotope ratios of glutamic acid and phenylalanine confirmed that for primary producers (periphyton and C3 litter) the TP was 1, and for primary consumers (e.g., mayfly and caddisfly larvae) it was 2. We built a two-source mixing model to estimate the relative contributions of aquatic and terrestrial sources to secondary and higher consumers (e.g., stonefly larva and fishes) prior to the TP calculation. The estimated TPs (2.3-3.5) roughly corresponded to their omnivorous and carnivorous feeding habits, respectively. We found that the SIAA method offers substantial advantages over traditional bulk method for food web analysis because it defines the food web structure based on the metabolic pathway of amino groups, and can be used to estimate food web structure under conditions where the bulk method cannot be used. Our result provides evidence that the SIAA method is applicable to the analysis of complex food webs, where heterogeneous resources are mixed.
机译:最近,已使用单个氨基酸(SIAA)的稳定N同位素组成来估计几种简单食物链系统中动物的营养位置(TPs)。但是,尚不清楚SIAA是否适用于更复杂的食物网分析。在这项研究中,我们测量了河背无脊椎动物,鱼类及其潜在食物来源(陆生C3植物的附生植物和凋落物)的SIAA,它们是从两条河岸景观对比鲜明的河溪的上部和下部采集的。谷氨酸和苯丙氨酸的稳定N同位素比证实,初级生产者(附生植物和C3凋落物)的TP为1,而初级消费者(例如may蝇和蝇幼虫)的TP为2。我们建立了两源混合模型在进行总产值计算之前,要估算水生和陆地资源对次级和高级消费者(例如,石蝇幼虫和鱼类)的相对贡献。估计的TP(2.3-3.5)分别大致对应于它们的杂食性和肉食性喂养习惯。我们发现,SIAA方法相对于传统的散装方法进行食物网分析具有明显的优势,因为它基于氨基的代谢途径定义了食物网的结构,并且可以用于在无法使用散装方法的条件下估计食物网的结构。用过的。我们的结果提供了证据,表明SIAA方法适用于混合了异构资源的复杂食物网的分析。

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