Woodstoich III: Integrating tools of nutritional geometry and ecological stoichiometry to advance nutrient budgeting and the prediction of consumer‐driven nutrient recycling
Woodstoich III: Integrating tools of nutritional geometry and ecological stoichiometry to advance nutrient budgeting and the prediction of consumer‐driven nutrient recycling
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DOI：
10.1111/oik.03529
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发表时间：
2016-11
期刊：
影响因子：
3.4
通讯作者：
Erik Sperfeld;Halvor M. Halvorson;M. Malishev;F. Clissold;Nicole D. Wagner
中科院分区：
文献类型：
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作者：
Erik Sperfeld;Halvor M. Halvorson;M. Malishev;F. Clissold;Nicole D. Wagner
在过去的二十年中，生态化学计量学（ES）和营养几何学（NG，也称为营养几何框架）为营养生态学的核心问题提供了新颖的见解。这两个营养明确的框架在使用的“营养货币”和过去研究的重点方面有所不同； NG 中的行为喂养策略，主要研究陆地生物；ES 中的营养生态学，主要研究水生环境。然而，NG 和 ES 都在解释不同规模的生物组织模式方面得到了发展。整合这些框架的具体工具可以通过统一从有机体到生态系统水平过程的理论和经验方法来推进营养生态学领域。为了实现这一整合，我们确定了 1) 养分/元素预算作为两个框架的共同概念，包括养分摄入、保留和释放，2) NG 的响应面图作为说明有机体水平过程的强大工具，3) ES 的消费者驱动的养分循环 (CNR) 概念作为连接有机体和生态系统规模的有用工具。我们将响应曲面图应用于 ES 研究中的元素预算数据，以展示这种方法如何在有机体层面提供新的见解，例如通过显示排泄和排泄之间的相互作用，同时取决于基于个体差异的碳和磷的消耗量。通过整合 ES 和 NG 的概念来模拟 NG 研究中报告的含氮废物的微生物吸收和矿化，我们还证明，考虑有机废物的生化显性矿化率可以通过减少根据消费者饮食质量对矿化的高估或低估来改善 CNR 的预测。我们提出的工具和方法可以帮助在有机体和生态系统层面上架起桥梁，提高多个生态尺度营养生态学研究的预测能力。
Within the last two decades, ecological stoichiometry (ES) and nutritional geometry (NG, also known as geometric framework for nutrition) have delivered novel insights into core questions of nutritional ecology. These two nutritionally explicit frameworks differ in the ‘nutrient currency’ used and the focus of their past research; behavioural feeding strategies in NG, mainly investigating terrestrial organisms, and trophic ecology in ES, mainly in aquatic settings. However, both NG and ES have developed in explaining patterns across various scales of biological organization. Integrating specific tools of these frameworks could advance the field of nutritional ecology by unifying theoretical and empirical approaches from the organismal to ecosystem level processes. Toward this integration, we identified 1) nutrient/element budgets as a shared concept of both frameworks that encompass nutrient intake, retention, and release, 2) response surface plots of NG as powerful tools to illustrate processes at the organismal level and 3) the concept of consumer-driven nutrient recycling (CNR) of ES as a useful tool bridging organism and ecosystem scales. We applied response surface plots to element budget data from an ES study to show how this approach can deliver new insights at the organismal level, e.g. by showing the interplay between egestion and excretion depending simultaneously on the consumed amount of carbon and phosphorus based on variation across individuals. By integrating concepts of ES and NG to model microbial uptake and mineralization of nitrogenous wastes reported in a NG study, we also demonstrate that considering biochemically explicit mineralization rates of organic wastes can improve predictions of CNR by reducing over- or underestimation of mineralization depending on the quality of the consumer's diet. Our presented tools and approaches can help to bridge the organismal and ecosystem level, advancing the predictive power of studies in nutritional ecology at multiple ecological scales.