W.K. Kellogg Biological Station and Department of Plant Biology, Michigan State University, Hickory Corners, MI 49060, USA.
J Theor Biol. 2011 Jan 21;269(1):16-30. doi: 10.1016/j.jtbi.2010.09.041.
What determines the vertical distribution of phytoplankton in different aquatic environments remains an open question. To address this question, we develop a model to explore how phytoplankton respond through growth and movement to opposing resource gradients and different mixing conditions. We assume stratification creates a well-mixed surface layer on top of a poorly mixed deep layer and nutrients are supplied from multiple depth-dependent sources. Intraspecific competition leads to a unique strategic equilibrium for phytoplankton, which allows us to classify the distinct vertical distributions that can exist. Biomass can occur as a benthic layer (BL), a deep chlorophyll maximum (DCM), or in the mixed layer (ML), or as a combination of BL+ML or DCM+ML. The ML biomass can be limited by nutrients, light, or both. We predict how the vertical distribution, relative resource limitation, and biomass of phytoplankton will change across environmental gradients. We parameterized our model to represent potentially light and phosphorus limited freshwater lakes, but the model is applicable to a broad range of vertically stratified systems. Increasing nutrient input from the sediments or to the mixed layer increases light limitation, shifts phytoplankton towards the surface, and increases total biomass. Increasing background light attenuation increases light limitation, shifts the phytoplankton towards the surface, and generally decreases total biomass. Increasing mixed layer depth increases, decreases, or has no effect on light limitation and total biomass. Our model is able to replicate the diverse vertical distributions observed in nature and explain what underlying mechanisms drive these distributions.
浮游植物在不同水生环境中的垂直分布由什么决定,这仍然是一个悬而未决的问题。为了解决这个问题,我们开发了一个模型来探索浮游植物如何通过生长和运动对相反的资源梯度和不同的混合条件做出反应。我们假设分层作用在混合不良的深层之上形成一个充分混合的表层,并且营养物质从多个依赖深度的来源供应。种内竞争导致浮游植物形成独特的战略平衡,这使我们能够对存在的不同垂直分布进行分类。生物量可以作为底栖层(BL)、深叶绿素最大值(DCM)或混合层(ML)存在,或者作为 BL+ML 或 DCM+ML 的组合存在。ML 中的生物量可能受到营养物质、光照或两者的限制。我们预测浮游植物的垂直分布、相对资源限制和生物量将如何随环境梯度而变化。我们对模型进行了参数化,以代表潜在的光和磷限制的淡水湖泊,但该模型适用于广泛的垂直分层系统。从沉积物或混合层输入增加的营养物质会增加光照限制,将浮游植物推向表面,并增加总生物量。增加背景光衰减会增加光照限制,将浮游植物推向表面,并通常降低总生物量。增加混合层深度会增加、减少或对光照限制和总生物量没有影响。我们的模型能够复制自然界中观察到的多样化的垂直分布,并解释是什么潜在机制驱动这些分布。