Institute of Biology/Geobotany and Botanical Garden, Martin Luther University Halle-Wittenberg, Halle, Germany.
German Centre for Integrative Biodiversity Research (iDiv), Halle-Jena-Leipzig, Leipzig, Germany.
Nat Ecol Evol. 2018 Dec;2(12):1906-1917. doi: 10.1038/s41559-018-0699-8. Epub 2018 Nov 19.
Plant functional traits directly affect ecosystem functions. At the species level, trait combinations depend on trade-offs representing different ecological strategies, but at the community level trait combinations are expected to be decoupled from these trade-offs because different strategies can facilitate co-existence within communities. A key question is to what extent community-level trait composition is globally filtered and how well it is related to global versus local environmental drivers. Here, we perform a global, plot-level analysis of trait-environment relationships, using a database with more than 1.1 million vegetation plots and 26,632 plant species with trait information. Although we found a strong filtering of 17 functional traits, similar climate and soil conditions support communities differing greatly in mean trait values. The two main community trait axes that capture half of the global trait variation (plant stature and resource acquisitiveness) reflect the trade-offs at the species level but are weakly associated with climate and soil conditions at the global scale. Similarly, within-plot trait variation does not vary systematically with macro-environment. Our results indicate that, at fine spatial grain, macro-environmental drivers are much less important for functional trait composition than has been assumed from floristic analyses restricted to co-occurrence in large grid cells. Instead, trait combinations seem to be predominantly filtered by local-scale factors such as disturbance, fine-scale soil conditions, niche partitioning and biotic interactions.
植物功能特性直接影响生态系统功能。在物种水平上,特性组合取决于代表不同生态策略的权衡,但在群落水平上,特性组合预计与这些权衡脱钩,因为不同的策略可以促进群落内的共存。一个关键问题是,群落水平的特征组成在多大程度上受到全球过滤,以及它与全球和局部环境驱动因素的关系有多好。在这里,我们使用一个包含超过 110 万个植被斑块和 26632 个具有特性信息的植物物种的数据库,对特性-环境关系进行了全球、斑块水平的分析。尽管我们发现了 17 个功能特性的强烈过滤,但相似的气候和土壤条件支持着在平均特性值上差异很大的群落。捕获全球特性变化一半的两个主要群落特性轴(植物高度和资源获取)反映了物种水平上的权衡,但与全球范围内的气候和土壤条件的相关性很弱。同样,斑块内的特性变化与宏观环境没有系统地变化。我们的研究结果表明,在精细的空间粒度上,与仅在大网格单元中共同出现的植物区系分析相比,宏观环境驱动因素对功能特性组成的重要性要小得多。相反,特性组合似乎主要受到局部尺度因素的过滤,如干扰、细尺度土壤条件、生态位分离和生物相互作用。