Kernan M R, Helliwell R C
Environmental Change Research Centre, University College London, UK.
Sci Total Environ. 2001 Jan 29;265(1-3):39-49. doi: 10.1016/s0048-9697(00)00648-3.
A method of decomposing the variation in the acid neutralizing capacity (ANC) of surface waters in Scotland is described. Using national datasets, a series of variables relating to 703 catchments across Scotland is divided into three components representing (i) land cover, (ii) soil and (iii) atmospheric deposition/altitude. Redundancy analysis (RDA) and (partial) redundancy analysis are used to quantify the amount of variation in ANC uniquely attributable to each of these components, independent of the effects of the others. The variation accounted for by covarying combinations of these components is also determined. Approximately 55% of the total variation in ANC across the 703 sites is explained by the variables representing catchment characteristics and atmospheric deposition. Of this, 8.5%, 2.4% and 6.9% are uniquely attributable to the land cover, soil and deposition/altitude components, respectively. A further 38% of ANC variation is associated with the covariation between components, with 18% accounted for by the combination of all three. Approximately 45% of the variation in ANC remains unexplained. The results reflect the integrated nature of catchment processes and demonstrate, for these data, that it is a combination of land cover, soil and deposition and altitude factors which most explain variation in freshwater ANC level. The approach offers a tool with which to assess the sensitivity of surface waters to acid deposition at a regional scale and provides a way of identifying regional differences in catchment response to acid loading.
本文描述了一种分解苏格兰地表水酸中和能力(ANC)变化的方法。利用国家数据集,将一系列与苏格兰703个集水区相关的变量分为三个部分,分别代表(i)土地覆盖、(ii)土壤和(iii)大气沉降/海拔。使用冗余分析(RDA)和(偏)冗余分析来量化ANC中可唯一归因于这些部分中每一部分的变化量,且独立于其他部分的影响。还确定了这些部分协变组合所解释的变化量。在703个站点中,ANC总变化量的约55%由代表集水区特征和大气沉降的变量解释。其中,分别有8.5%、2.4%和6.9%可唯一归因于土地覆盖、土壤和沉降/海拔部分。ANC变化的另外38%与各部分之间的协变有关,其中18%由所有三个部分的组合解释。ANC变化中约45%仍无法解释。结果反映了集水区过程的综合性,并表明对于这些数据,土地覆盖、土壤、沉降和海拔因素的组合最能解释淡水ANC水平的变化。该方法提供了一种工具,可用于在区域尺度上评估地表水对酸沉降的敏感性,并提供了一种识别集水区对酸负荷响应区域差异的方法。