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A height-wood-seed axis which is preserved across climatic regions explains tree dominance in European forest communities

机译:在气候区域保存的高度木种轴解释了欧洲森林社区的树木

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Environmental constraints on both functional traits and trait-trait correlation patterns are extremely relevant research questions to understand assembling mechanisms and scaling processes in ecology. In fact, community weighted mean (CWM) and functional diversity (FD) metrics assimilate meaningful complementary information from species to community level. Relating species abundance data from national forest inventories (France, Italy and Spain) with species trait values from published sources, we explored CWM and FD variations along climatic gradients for traits related to leaf, hydraulic and live history strategies, and how the CWM or the FD of single traits co-vary. Results show how the combined effects of water availability and temperature modulate CWM, and to a lower extent FD, of Western European forests. PCA on CWM traits data showed that main axis accounts for 46.6% of the variability and is represented by wood density, seed dry weight (SDW) and maximum height. This axis is similarly preserved in humid and dry areas and potentially related to competition ability, growth rates and successional status of tree species dominants. Furthermore, the second axis is associated with leaf wilting and cavitation resistance (P-50), but not consistent in dry areas. Correlation patterns of FD data, which were partially preserved across climatic regions, showed one main axis involving the joint variability of all traits. However, between humid and dry areas determinants of SDW and P-50 differ from all other traits. Results showed that at least a part of the co-variation patterns among traits change with climate conditions, suggesting scale-dependent effects which should be taken into account when scaling assembly mechanisms.
机译:功能性状和特征相关模式的环境限制是非常相关的研究问题,以了解生态学中的组装机制和扩展过程。事实上,社区加权平均值(CWM)和功能多样性(FD)指标将有意义的互补信息与社区一级相同。将物种丰富数据与来自公布来源的物种特质价值联系起来,我们探讨了CWM和FD沿着与叶,液压和现场历史策略相关的特征的气候梯度,以及CWM如何或者单一特征的FD共同变化。结果表明,水可用性和温度调节CWM的综合影响以及西欧森林的较低程度的FD。 CWM特征上的PCA数据显示,主轴占变异性的46.6%,由木质密度,种子干重(SDW)和最大高度表示。该轴类似地保存在潮湿和干燥的区域中,与竞争能力,生长率和树种的连续状态有关。此外,第二轴与叶浊和空化电阻(P-50)相关,但在干燥区域中不一致。部分保留在气候区域的FD数据的相关模式,显示了一个涉及所有特征的联合变异的主轴。然而,在SDW和P-50的潮湿和干燥区域之间的决定因素与所有其他性状不同。结果表明,特性之间的至少一部分协同模式随着气候条件而变化,表明在缩放装配机制时应考虑的尺度依赖效果。

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