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Environmental control and spatial structures in peatland vegetation

机译:泥炭地植被的环境控制与空间结构

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Question: What are the relative influences of environment and space in structuring the plant composition in a peatland complex?Location: Lakkasuo, southern boreal zone, Finland.Method: We used principal coordinates of neighbour matrices (PCNM) to model spatial structures in the plant composition of a peatland complex comprising ombrotrophic and minerotrophic, open and forested areas. We used redundancy analyses (RDA) and variation partitioning to assess the relative influences of chemical variables (peat and water characteristics), physical variables (hydrology, soil properties, shade), as well as broad-scale (4350 m) and medium-scale (100-350 m) spatial structures on vegetation assemblages.Results: We identified five different significant spatial patterns circumscribing (1) the minerotrophic-ombrotrophic gradient; (2) dry ombrotrophic and wet minerotrophic areas; (3) open and shaded areas; (4) dry open/shaded and wet patches within the ombrotrophic areas; and (5) dry open patches and dry forested patches. With spatial structures and environmental variables, we were able to model 30% of the variability in plant composition in the peatland complex, 13% of which was attributable to spatial structures alone.Conclusions: We demonstrated that in the peatland complex, the spatial dependence processes were more important at the broadest scale, and found that patterns at a medium scale might reflect finer-scale patterns that were not investigated here. Spatial autocorrelation in vegetation composition in the peatland complex appeared to be driven by Sphagnum species. Our results emphasize that spatial modelling should be routinely implemented in studies looking at species composition, since they significantly increase the explained proportion of variance
机译:问题:在泥炭地综合体中,环境和空间对植物组成结构的相对影响是什么?位置:芬兰北部寒带Lakkasuo方法:我们使用邻居矩阵的主坐标(PCNM)对植物的空间结构进行建模泥炭地复合体的组成,包括非营养和矿质营养,开阔和林区。我们使用冗余分析(RDA)和变异分区来评估化学变量(豌豆和水的特性),物理变量(水文学,土壤特性,阴影)以及大规模(4350 m)和中等规模的相对影响结果:我们确定了五种不同的重要空间格局,即(1)矿养型-营养型梯度; (2)干燥营养滋养区和潮湿营养滋养区; (3)阴凉处; (4)滋养区域内的干燥开放/阴影和湿斑; (5)干燥的开放斑块和干燥的森林斑块。通过空间结构和环境变量,我们能够对泥炭地复合体中植物组成的30%变异性进行建模,其中13%仅归因于空间结构。结论:我们证明了在泥炭地复合体中,空间依赖性过程在更广泛的范围内,“更重要”的发现更重要,并且发现中等规模的模式可能反映了此处未研究的更精细的模式。泥炭地复合体中植被组成的空间自相关似乎是由泥炭藓属物种驱动的。我们的结果强调,在研究物种组成的研究中应常规执行空间建模,因为它们会大大增加解释的方差比例

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