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Determinants of fine-scale plant species richness in a deciduous forest of northeastern North America

机译:北美东北落叶林中精细植物物种丰富度的决定因素

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Question: What are the determinants of fine-scale plant spe-cies richness (SR)? Location: ?le-aux-Grues, Québec, Canada. Methods: Elevation, soil organic matter, soil pH, irradiance, tree basal area (B A) and plant SR (herbs, shrubs, and trees) were determined in 100 contiguous 25 m2 quadrats in a deciduous forest. Each variable was analysed for spatial autocorrelation using Moran's I. Path analysis was used to determine the effects of different variables on tree, shrub and herb SR in a hierarchical modelling approach. Results: Most of the variables, except tree BA, PPFD (photo-synthetic photon flux density) and shrub SR, were positively autocorrelated at a scale of ca. 20 m or less. The path analyses explained ca. 11%-40% of the variance in plant SR; however, the model for shrub SR was not significant. Tree SR was posi-tively associated, but herb SR was negatively associated with tree BA. Tree SR had a positive influence on shrub SR, but herb SR remained unaffected by tree or shrub SR. Conclusion: The positive association of tree BA and tree SR suggests that the data from the study site correspond to the left (ascending) portion of the SR-biomass relationship (un-dersaturated SR). The negative effect of tree BA on herb SR is direct and not mediated through reduced PPFD. High tree BA might cause high resource use, induce high litter production and affect soil properties, all of which might significantly affect herb SR. Several factors not considered here might influence fine-scale SR, such as interspecific interactions, fine-scale disturbances and heterogeneity (both spatial and temporal) in resources and abiotic conditions. Within-site variations of SR might be difficult to model with precision because of the relative importance of stochastic vs deterministic processes at this spatial scale.
机译:问:什么是精细植物物种丰富度(SR)的决定因素?地点:加拿大魁北克?le-aux-Grues。方法:在落叶林中的100个连续的25 m2正方形中测定海拔,土壤有机质,土壤pH,辐照度,树木基面积(BA)和植物SR(草本,灌木和树木)。使用Moran's I对每个变量进行空间自相关分析。使用路径分析以分层建模方法确定树木,灌木和草本植物SR上不同变量的影响。结果:除树BA,PPFD(光合光子通量密度)和灌木SR外,大多数变量都呈正相关。 20 m以下。路径分析约说明。植物SR变异的11%-40%;然而,灌木SR的模型并不重要。树SR与树BA呈正相关,而草药SR与树BA呈负相关。树木SR对灌木SR具有积极影响,但草本SR不受树木或灌木SR的影响。结论:树BA和树SR的正相关表明,研究地点的数据对应于SR-生物量关系(不饱和SR)的左(升)部分。树BA对草药SR的负面影响是直接的,而不是通过降低PPFD介导的。高树BA可能导致高资源利用,诱导高产仔猪并影响土壤特性,所有这些都可能显着影响草本植物SR。此处未考虑的几个因素可能会影响精细尺度的SR,例如种间相互作用,精细尺度的干扰以及资源和非生物条件的异质性(时空)。 SR的站点内变化可能难以精确建模,因为在此空间尺度上随机与确定性过程的相对重要性。

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