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首页> 外文期刊>Plant and Soil >Small-scale spatial soil-plant relationship in semi-arid gypsum environments.
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Small-scale spatial soil-plant relationship in semi-arid gypsum environments.

机译：半干旱石膏环境中的小型空间土壤－植物关系。

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The relationships between soil and some biotic variables including plant distribution at small scales were studied in a semiarid gypsum environment in Spain. This was carried out by means of Canonical Correspondence Analysis (CCA) as a hypothesis-testing tool. CCA models show that the spatial data matrix is able to explain a relevant fraction of the soil dataset (P<0.001). The most important variable, as firstly selected in the CCA stepwise selection procedure, suggests the existence of a vegetation-elevation gradient in relation to soil physical properties; the rest of selected variables indicates the existence of other spatial trends which may be related to certain microgeomorphological features. On the other hand, only the cover of annuals andthe cover of litter are selected in the case of the biotic dataset as a constraining matrix, but not the cover of any perennial plant. Partial CCA models indicated that the remaining information explained by the spatial dataset after adjusting the bioticset as covariables is also significant (P<0.001). This variability is not related to the existence of vegetation bands as shown by the two selected variables in the case of the partial CCA models. The primary source of spatial soil variation is relatedto the existence of three community bands and these differences are able to explain even the change of plant life forms in vegetated band. The soil parameters controlling the changes are mainly related to texture and surface features. However, we detected other sources of spatial soil variation out of this primary model. This hierarchical spatial pattern seems to be related to some geomorphological traits of the landscape, such as soil crust strength, presence of gypsum crystals or bare zones, and not to the presence of mature gypsophytes (at least the five most frequent) which might ameliorate the soil environment. Furthermore, the biotic dataset is not able to explain any new fraction of soil variability out of that already explained by the spatial dataset.
机译：在西班牙的半干旱石膏环境中研究了土壤与一些生物变量（包括小规模植物分布）之间的关系。这是通过标准对应分析（CCA）作为假设检验工具来进行的。 CCA模型表明，空间数据矩阵能够解释土壤数据集的相关部分（P <0.001）。在CCA逐步选择程序中首先选择的最重要变量表明，存在与土壤物理性质相关的植被高程梯度。其余选定变量表明存在其他可能与某些微地貌特征有关的空间趋势。另一方面，在生物数据集的情况下，仅选择一年生植物的覆盖物和凋落物的覆盖物作为约束矩阵，而不选择任何多年生植物的覆盖物。部分CCA模型表明，将生物集调整为协变量后，空间数据集解释的其余信息也很重要（P <0.001）。在局部CCA模型的情况下，如两个选择的变量所示，这种变化与植被带的存在无关。土壤空间变化的主要根源与三个群落带的存在有关，这些差异甚至可以解释植被带中植物生命形态的变化。控制变化的土壤参数主要与质地和表面特征有关。但是，我们从该主要模型中检测到了其他空间土壤变化的来源。这种分层的空间格局似乎与景观的某些地貌特征有关，例如土壤结壳强度，石膏晶体或裸露地带的存在，而与成熟石膏（至少五种最常见的）的存在无关，它们可能会改善地形。土壤环境。此外，生物数据集无法解释空间数据集已经解释的任何新的土壤变异性。

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