Department of Biology, University of North Carolina, Chapel Hill, NC, 27599-3280, USA; Curriculum for Environment and Ecology, University of North Carolina, Chapel Hill, NC, 27599, USA.
Ecol Lett. 2014 Apr;17(4):401-13. doi: 10.1111/ele.12240. Epub 2014 Jan 7.
Energetic constraints are fundamental to ecology and evolution, and empirical relationships between species richness and estimates of available energy (i.e. resources) have led some to suggest that richness is energetically constrained. However, the mechanism linking energy with richness is rarely specified and predictions of secondary patterns consistent with energy-constrained richness are lacking. Here, we lay out the necessary and sufficient assumptions of a causal relationship linking energy gradients to richness gradients. We then describe an eco-evolutionary simulation model that combines spatially explicit diversification with trait evolution, resource availability and assemblage-level carrying capacities. Our model identified patterns in richness and phylogenetic structure expected when a spatial gradient in energy availability determines the number of individuals supported in a given area. A comparison to patterns under alternative scenarios, in which fundamental assumptions behind energetic explanations were violated, revealed patterns that are useful for evaluating the importance of energetic constraints in empirical systems. We use a data set on rockfish (genus Sebastes) from the northeastern Pacific to show how empirical data can be coupled with model predictions to evaluate the role of energetic constraints in generating observed richness gradients.
能量约束是生态学和进化的基础,物种丰富度与可用能量(即资源)估计之间的经验关系使得一些人认为丰富度受到能量约束。然而,将能量与丰富度联系起来的机制很少被具体说明,也缺乏与能量约束丰富度一致的次要模式预测。在这里,我们阐述了将能量梯度与丰富度梯度联系起来的因果关系的必要和充分假设。然后,我们描述了一个生态进化模拟模型,该模型将空间上明确的多样化与特征进化、资源可用性和集合层面的承载能力相结合。我们的模型确定了当能量可用性的空间梯度决定给定区域内支持的个体数量时,丰富度和系统发育结构中预期的模式。与替代情景下的模式进行比较,这些替代情景违反了能量解释的基本假设,揭示了在经验系统中评估能量约束重要性的有用模式。我们使用来自东北太平洋的石斑鱼(Sebastes 属)数据集来说明如何将经验数据与模型预测相结合,以评估能量约束在产生观察到的丰富度梯度中的作用。