Centre for Ocean Life, National Institute of Aquatic Resources, Technical University of Denmark, Kavalergarden 6, DK-2920, Charlottenlund, Denmark.
Ecol Lett. 2016 Dec;19(12):1403-1413. doi: 10.1111/ele.12688. Epub 2016 Oct 11.
Functional traits, rather than taxonomic identity, determine the fitness of individuals in their environment: traits of marine organisms are therefore expected to vary across the global ocean as a function of the environment. Here, we quantify such spatial and seasonal variations based on extensive empirical data and present the first global biogeography of key traits (body size, feeding mode, relative offspring size and myelination) for pelagic copepods, the major group of marine zooplankton. We identify strong patterns with latitude, season and between ocean basins that are partially (c. 50%) explained by key environmental drivers. Body size, for example decreases with temperature, confirming the temperature-size rule, but surprisingly also with productivity, possibly driven by food-chain length and size-selective predation. Patterns unrelated to environmental predictors may originate from phylogenetic clustering. Our maps can be used as a test-bed for trait-based mechanistic models and to inspire next-generation biogeochemical models.
功能特征,而非分类身份,决定了个体在其环境中的适应性:因此,海洋生物的特征预计会随着环境的变化而在全球海洋中发生变化。在这里,我们基于广泛的经验数据来量化这种空间和季节性变化,并首次呈现出浮游桡足类(海洋浮游动物的主要类群)关键特征(体型、摄食模式、相对后代大小和髓鞘形成)的全球生物地理学。我们确定了与纬度、季节和海洋盆地之间存在强烈模式,其中约 50% 可以用关键环境驱动因素来解释。例如,体型随温度降低,证实了温度体型法则,但令人惊讶的是,体型也随生产力降低,这可能是由食物链长度和大小选择捕食驱动的。与环境预测因子无关的模式可能源于系统发育聚类。我们的地图可用作基于特征的机制模型的测试平台,并激发下一代生物地球化学模型。