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Two-scale modelling of Saponaria bellidifolia Sm. (Caryophyllaceae) abundance on limestone outcrops from its northern range periphery (Southeastern Carpathians)

机译:Saponaria bellidifolia Sm的两尺度建模。 (石竹科)在其北部山脉外围(东南喀尔巴阡山脉)的石灰岩露头上有很多

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We modelled the effect of habitat heterogeneity on the abundance of the submediterranean Saponaria bellidifolia, a red list species in Romania. The study was designed at two scales: 100 and 0.5 mpo. At larger scale, generalized additive models and canonical correspondence analysis were used to model the density of ramets, whereas at microscale, binomial logistic regression was employed to model the species' occurrence. S. bellidifolia abundance responded sensitively to habitat type (classified as grassy, rocky and scree), rather than to microclimatic variables. At both scales, habitat type was the best predictor of ramet abundance, followed by slope and vegetation cover. At 0.5 mpo, soil depth was also a good predictor of species occurrence. The data revealed that screes are the most suitable habitats for hosting relatively large populations of this rare species, because of occasional natural disturbances and presumably lower interspecific competition.
机译:我们模拟了栖息地异质性对地中海南部Saponaria bellidifolia(罗马尼亚的一个红色名录物种)的丰度的影响。该研究设计为两种规模:100和0.5 mpo。在较大规模上,使用广义加性模型和典范对应分析对分株的密度进行建模,而在微观尺度上,采用二项式逻辑回归对物种的发生进行建模。贝氏链球菌的丰度对生境类型(分类为草,石质和卵石)敏感,对微气候变量敏感。在这两个尺度上,生境类型都是分株丰度的最佳预测指标,其次是坡度和植被覆盖率。在0.5 mpo时,土壤深度也是物种发生的良好预测指标。数据显示,由于偶然的自然干扰和种间竞争可能降低,所以砂层是最适合容纳相对大量这种稀有物种的栖息地。

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