Li Yuanzhi, Shipley Bill
Département de Biologie, Université de Sherbrooke, Sherbrooke, Québec, Canada.
PLoS One. 2017 Apr 7;12(4):e0175404. doi: 10.1371/journal.pone.0175404. eCollection 2017.
Can CSR theory, in conjunction with a recently proposed globally calibrated CSR ordination ("StrateFy"), using only three easily measured leaf traits (leaf area, specific leaf area and leaf dry matter content) predict the functional signature of herbaceous vegetation along experimentally manipulated gradients of soil fertility and disturbance? To determine this, we grew 37 herbaceous species in mixture for five years in 24 experimental mesocosms differing in factorial levels of soil resources (stress) and density-independent mortality (disturbance). We measured 16 different functional traits and then ordinated the resulting vegetation within the CSR triangle using StrateFy. We then calculated community-weighted mean (CWM) values of the competitor (CCWM), stress-tolerator (SCWM) and ruderal (RCWM) scores for each mesocosm. We found a significant increase in SCWM from low to high stress mesocosms, and an increase in RCWM from lowly to highly disturbed mesocosms. However, CCWM did not decline significantly as intensity of stress or disturbance increased, as predicted by CSR theory. This last result likely arose because our herbaceous species were relatively poor competitors in global comparisons and thus no strong competitors in our species pool were selectively favoured in low stress and low disturbed mesocosms. Variation in the 13 other traits, not used by StrateFy, largely argeed with the predictions of CSR theory. StrateFy worked surprisingly well in our experimental study except for the C-dimension. Despite loss of some precision, it has great potential applicability in future studies due to its simplicity and generality.
植物生活史对策(CSR)理论,结合最近提出的一种全球校准的CSR排序方法(“StrateFy”),仅使用三种易于测量的叶片性状(叶面积、比叶面积和叶片干物质含量),能否预测沿土壤肥力和干扰的实验性梯度变化的草本植被功能特征?为了确定这一点,我们将37种草本植物混合种植在24个实验性中型生态系统中,为期五年,这些中型生态系统在土壤资源(胁迫)和密度独立死亡率(干扰)的因子水平上存在差异。我们测量了16种不同的功能性状,然后使用StrateFy在CSR三角形内对所得植被进行排序。然后,我们计算了每个中型生态系统中竞争者(CCWM)、胁迫耐受者(SCWM)和杂草型(RCWM)得分的群落加权平均值(CWM)。我们发现,从低胁迫到高胁迫的中型生态系统中,SCWM显著增加,从低干扰到高干扰的中型生态系统中,RCWM增加。然而,正如CSR理论所预测的那样,随着胁迫或干扰强度的增加,CCWM并没有显著下降。最后这个结果可能是因为在全球比较中,我们的草本植物作为竞争者相对较弱,因此在低胁迫和低干扰的中型生态系统中,我们的物种库中没有强大的竞争者被选择性地青睐。StrateFy未使用的其他13个性状的变化在很大程度上与CSR理论的预测一致。除了C维度外,StrateFy在我们的实验研究中表现得出奇地好。尽管损失了一些精度,但由于其简单性和通用性,它在未来的研究中具有很大的潜在适用性。