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PNAS Plus: Metabolic theory and taxonomic identity predict nutrient recycling in a diverse food web

机译:PNAS Plus:代谢理论和生物分类学预测多种食品网中的营养物质再循环

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摘要

Reconciling the degree to which ecological processes are generalizable among taxa and ecosystems, or contingent on the identity of interacting species, remains a critical challenge in ecology. Ecological stoichiometry (EST) and metabolic theory of ecology (MTE) are theoretical approaches used to evaluate how consumers mediate nutrient dynamics and energy flow through ecosystems. Recent theoretical work has explored the utility of these theories, but empirical tests in species-rich ecological communities remain scarce. Here we use an unprecedented dataset collected from fishes and dominant invertebrates (n = 900) in a diverse subtropical coastal marine community (50 families, 72 genera, 102 species; body mass range: 0.04–2,597 g) to test the utility of EST and MTE in predicting excretion rates of nitrogen (EN), phosphorus (EP), and their ratio (ENP). Body mass explained a large amount of the variation in EN and EP but not ENP. Strong evidence in support of the MTE 3/4 allometric scaling coefficient was found for EP, and for EN only after accounting for variation in excretion rates among taxa. In all cases, including taxonomy in models substantially improved model performance, highlighting the importance of species identity for this ecosystem function. Body nutrient content and trophic position explained little of the variation in EN, EP, or ENP, indicating limited applicability of basic predictors of EST. These results highlight the overriding importance of MTE for predicting nutrient flow through organisms, but emphasize that these relationships still fall short of explaining the unique effects certain species can have on ecological processes.
机译:协调生物分类群和生态系统中生态过程的普遍化程度,或视相互作用物种的身份而定,仍然是生态学中的关键挑战。生态化学计量学(EST)和生态代谢理论(MTE)是用于评估消费者如何介导营养素动态和能量流经生态系统的理论方法。最近的理论工作已经探索了这些理论的实用性,但是在物种丰富的生态群落中的经验检验仍然很少。在这里,我们使用了前所未有的数据集,该数据集是从多样化的亚热带沿海海洋社区(50个家庭,72个属,102种;体重范围:0.04–2,597 g)中的鱼类和优势无脊椎动物(n = 900)中收集的,以测试EST和MTE可预测氮(EN),磷(EP)及其比率(ENP)的排泄率。体重解释了EN和EP的大量变化,但没有解释ENP。仅在考虑了各类群的排泄率变化之后,才发现有强有力的证据支持EP和EN的MTE 3/4异构比例系数。在所有情况下,包括模型中的分类学,都大大提高了模型性能,突出了物种同一性对于这种生态系统功能的重要性。人体营养成分和营养位置几乎无法解释EN,EP或ENP的变化,表明EST基本预测因子的适用性有限。这些结果凸显了MTE在预测营养物质通过生物体流动方面的压倒一切的重要性,但强调这些关系仍不足以解释某些物种对生态过程的独特影响。

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