Unité Halieutique de Manche et mer du Nord, IFREMER, Boulogne-sur-Mer, France.
MARBEC, Université de Montpellier, CNRS, IFREMER, IRD, Montpellier Cedex, France.
Glob Chang Biol. 2019 Nov;25(11):3972-3984. doi: 10.1111/gcb.14785. Epub 2019 Aug 22.
Describing the spatial and temporal dynamics of communities is essential for understanding the impacts of global environmental change on biodiversity and ecosystem functioning. Trait-based approaches can provide better insight than species-based (i.e. taxonomic) approaches into community assembly and ecosystem functioning, but comparing species and trait dynamics may reveal important patterns for understanding community responses to environmental change. Here, we used a 33-year database of fish monitoring to compare the spatio-temporal dynamics of taxonomic and trait structure in North Sea fish communities. We found that the majority of variation in both taxonomic and trait structure was explained by a pronounced spatial gradient, with distinct communities in the southern and northern North Sea related to depth, sea surface temperature, salinity and bed shear stress. Both taxonomic and trait structure changed significantly over time; however taxonomically, communities in the south and north diverged towards different species, becoming more dissimilar over time, yet they converged towards the same traits regardless of species differences. In particular, communities shifted towards smaller, faster growing species with higher thermal preferences and pelagic water column position. Although taxonomic structure changed over time, its spatial distribution remained relatively stable, whereas in trait structure, the southern zone of the North Sea shifted northward and expanded, leading to homogenization. Our findings suggest that global environmental change, notably climate warming, will lead to convergence towards traits more adapted for novel environments regardless of species composition.
描述群落的时空动态对于理解全球环境变化对生物多样性和生态系统功能的影响至关重要。基于特征的方法比基于物种的(即分类学的)方法更能深入了解群落组装和生态系统功能,但比较物种和特征动态可能会揭示出理解群落对环境变化响应的重要模式。在这里,我们使用了一个 33 年的鱼类监测数据库,比较了北海鱼类群落的分类和特征结构的时空动态。我们发现,分类和特征结构的大部分变异都可以用一个明显的空间梯度来解释,北海的南部和北部有明显的群落,与深度、海面温度、盐度和底床剪切应力有关。分类和特征结构都随时间显著变化;然而,在分类学上,南、北地区的群落朝着不同的物种分化,随着时间的推移变得越来越不相似,但它们无论物种差异如何,都朝着相同的特征趋同。特别是,群落向具有更高热偏好和浮游水层位置的更小、生长更快的物种转移。尽管分类结构随时间发生变化,但它的空间分布仍然相对稳定,而在特征结构中,北海的南部区域向北移动并扩大,导致同质化。我们的研究结果表明,全球环境变化,特别是气候变暖,将导致无论物种组成如何,朝着更适应新环境的特征趋同。