IsoWeb: a Bayesian isotope mixing model for diet analysis of the whole food web

我们开发了一种新的混合模型（IsoWeb），可以根据稳定的同位素信息估计食物网中所有消费者的饮食比例。IsoWeb需要食物网的拓扑描述，以及网络中所有消费者和资源的稳定同位素特征。IsoWeb的一个优点是它考虑了不同消费者-资源环节中营养富集因子的变化。对真实食物网和假设食物网的敏感性分析表明，IsoWeb适用于物种数量、连通性、样本量和数据不确定性不同的各种食物网。此外，通过对一个真实食物网的示例应用，我们证明了IsoWeb可以比较焦点网不同候选拓扑的合理性

We developed a novel mixing model (IsoWeb) that estimates diet proportions of all consumers in a food web based on stable isotope information. IsoWeb requires a topological description of a food web, and stable isotope signatures of all consumers and resources in the web. A merit of IsoWeb is that it takes into account variation in trophic enrichment factors among different consumer-resource links. Sensitivity analysis using real and hypothetical food webs suggests that IsoWeb is applicable to a wide variety of food webs differing in the number of species, connectance, sample size, and data uncertainty. Moreover, using an illustrative application to a real food web, we demonstrated that IsoWeb can compare the plausibility of different candidate topologies for a focal web