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Environmental Factors as Predictors of Aquatic Macrophyte Richness andComposition in Wetlands of Southern Brazil

机译:环境因素是巴西南部湿地水生植物丰富度和组成的预测因子

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摘要

The main goal of this study was to determine how much variation in macrophyte richness and composition is explained by wetland area, altitude, water conductivity, and nitrate and total phosphorus concentrations in wetlands in southern Brazil, and to compare these variations in two wetland subsystems (palustrine and lacustrine). A total of 126 wetlands were sampled distributed in two subsystems: 87 palustrine and 39 lacustrine wetlands. A total of 153 species of aquatic macrophytes was found in wetlands of southern Brazil and the mean number of macrophyte species per site was 8.7 (range 1-23). From the variables tested, the altitude and area were the only predictor of macrophyte richness and explained 23.1% of variation in richness. The two first axes generated by CCA explained only 4.4% of the variation in the aquatic macrophytes distribution. The macrophyte richness was similar across lacustrine and palustrine subsystems. While altitude, area and conductivity explained 33.2% of variation in macrophyte richness in the palustrine subsystem, none of the variables were associated with macrophyte richness in the studied lacustrine wetlands.
机译:这项研究的主要目的是确定巴西南部湿地的湿地面积,海拔,水电导率以及硝酸盐和总磷浓度可以解释大型植物丰富度和组成的变化,并比较两个湿地子系统中的这些变化( palustrine和lacustrine)。总共采样了126个湿地,并将其分布在两个子系统中:87个巴勒斯坦湿地和39个湖泊湿地。在巴西南部的湿地中发现了总共153种水生植物,每个站点的平均植物数量为8.7(范围1-23)。根据测试的变量,海拔和面积是大型植物丰富度的唯一预测指标,并解释了丰富度变化的23.1%。 CCA产生的两个第一轴仅解释了水生植物分布的4.4%变化。在湖泊和palustrine子系统中,大型植物的丰富度相似。虽然海拔,面积和电导率解释了帕拉斯林子系统中大型植物丰富度的33.2%变化,但这些变量均与所研究的湖泊湿地中大型植物的丰富度无关。

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