Department of Botany, Faculty of Science, University of South Bohemia, Branišovská 31, České Budějovice, Czech Republic.
Department of Botany, Faculty of Science, University of South Bohemia, Branišovská 31, České Budějovice, Czech Republic; Institute of Botany, Czech Academy of Sciences, Třeboň, Czech Republic.
Trends Ecol Evol. 2016 May;31(5):382-394. doi: 10.1016/j.tree.2016.02.003.
Owing to the conceptual complexity of functional diversity (FD), a multitude of different methods are available for measuring it, with most being operational at only a small range of spatial scales. This causes uncertainty in ecological interpretations and limits the potential to generalize findings across studies or compare patterns across scales. We solve this problem by providing a unified framework expanding on and integrating existing approaches. The framework, based on trait probability density (TPD), is the first to fully implement the Hutchinsonian concept of the niche as a probabilistic hypervolume in estimating FD. This novel approach could revolutionize FD-based research by allowing quantification of the various FD components from organismal to macroecological scales, and allowing seamless transitions between scales.
由于功能多样性 (FD) 的概念复杂性，有许多不同的方法可用于测量它，其中大多数方法只能在很小的空间尺度范围内使用。这导致了生态解释的不确定性，并限制了在研究中概括发现或比较跨尺度模式的潜力。我们通过提供一个扩展和整合现有方法的统一框架来解决这个问题。该框架基于特征概率密度 (TPD)，是第一个完全实现 Hutchinson 作为概率超体积的生态位概念来估计 FD 的框架。这种新方法可以通过允许从个体到宏观生态尺度量化各种 FD 成分，并允许在尺度之间无缝过渡，从而彻底改变基于 FD 的研究。
