Departamento de Biología Vegetal y Ecología, Facultad de Biología, Universidad de Sevilla, Sevilla, Spain.
Faculty of Agricultural, Environmental and Food Sciences, Free University of Bozen-Bolzano, Bolzano, Italy.
Ecol Lett. 2024 Mar;27(3):e14396. doi: 10.1111/ele.14396.
Trait-based ecology has already revealed main independent axes of trait variation defining trait spaces that summarize plant adaptive strategies, but often ignoring intraspecific trait variability (ITV). By using empirical ITV-level data for two independent dimensions of leaf form and function and 167 species across five habitat types (coastal dunes, forests, grasslands, heathlands, wetlands) in the Italian peninsula, we found that ITV: (i) rotated the axes of trait variation that define the trait space; (ii) increased the variance explained by these axes and (iii) affected the functional structure of the target trait space. However, the magnitude of these effects was rather small and depended on the trait and habitat type. Our results reinforce the idea that ITV is context-dependent, calling for careful extrapolations of ITV patterns across traits and spatial scales. Importantly, our study provides a framework that can be used to start integrating ITV into trait space analyses.
基于性状的生态学已经揭示了定义性状空间的主要性状变化独立轴,这些性状空间概括了植物的适应策略,但往往忽略了种内性状变异性(ITV)。本研究通过使用意大利半岛五个生境类型(沿海沙丘、森林、草原、石南荒地、湿地)中 167 个物种的叶片形态和功能两个独立维度的经验 ITV 水平数据,发现 ITV:(i)旋转了定义性状空间的性状变化轴;(ii)增加了这些轴解释的方差;(iii)影响了目标性状空间的功能结构。然而,这些效应的幅度相当小,并且取决于性状和生境类型。我们的研究结果加强了 ITV 是依赖于上下文的观点,呼吁在跨性状和空间尺度上谨慎推断 ITV 模式。重要的是,我们的研究提供了一个可以用来将 ITV 纳入性状空间分析的框架。