Unifying ecological stoichiometry and metabolic theory to predict production and trophic transfer in a marine planktonic food web
Unifying ecological stoichiometry and metabolic theory to predict production and trophic transfer in a marine planktonic food web
复制标题
DOI：
10.1098/rstb.2015.0270
复制
发表时间：
2016-05-19
影响因子：
6.3
通讯作者：
Hodapp, Dorothee
中科院分区：
文献类型：
--
作者：
Moorthi, Stefanie D.;Schmitt, Jennifer A.;Hodapp, Dorothee
两种生态学框架被用来解释多营养相互作用，但很少结合使用：（一）生态化学计量学（ES），解释消费者需求和猎物营养含量的消费率;（二）生态代谢理论（MTE），提出温度和体重影响代谢率，生长和消费率。在这里，我们结合起来，ES和MTE调查浮游植物猎物的化学计量，温度和浮游动物消费者的身体质量上的消费者放牧率和生产的一个微观实验的相互作用。一个简单的模型集成参数从两个框架被用来预测温度和营养条件对消费者表现的相互影响。总体而言，模型预测反映了实验模式以及：消费者放牧率和生产随着温度的增加，可以预期的MTE的基础上。随着藻类食物质量的下降，由于补偿性摄食，放牧率增加，而消费者增长率和最终生物量下降。营养对消费者生物量的影响随着温度的升高而增加，而营养对放牧率的影响则下降。温度和养分供应的高度交互作用表明，结合ES和MTE的框架是非常重要的，以提高我们的能力来预测生态系统功能的背景下，全球变化。
Two ecological frameworks have been used to explain multitrophic interactions, but rarely in combination: (i) ecological stoichiometry (ES), explaining consumption rates in response to consumers' demand and prey's nutrient content; and (ii) metabolic theory of ecology (MTE), proposing that temperature and body mass affect metabolic rates, growth and consumption rates. Here we combined both, ES and MTE to investigate interactive effects of phytoplankton prey stoichiometry, temperature and zooplankton consumer body mass on consumer grazing rates and production in a microcosm experiment. A simple model integrating parameters from both frameworks was used to predict interactive effects of temperature and nutrient conditions on consumer performance. Overall, model predictions reflected experimental patterns well: consumer grazing rates and production increased with temperature, as could be expected based on MTE. With decreasing algal food quality, grazing rates increased due to compensatory feeding, while consumer growth rates and final biovolume decreased. Nutrient effects on consumer biovolume increased with increasing temperature, while nutrient effects on grazing rates decreased. Highly interactive effects of temperature and nutrient supply indicate that combining the frameworks of ES and MTE is highly important to enhance our ability to predict ecosystem functioning in the context of global change.