Jones David L, Simfukwe Paul, Hill Paul W, Mills Robert T E, Emmett Bridget A
School of the Environment, Natural Resources & Geography, Bangor University, Bangor, Gwynedd, United Kingdom.
Ecole Polytechnique Fédérale de Lausanne (EPFL), School of Architecture, Civil and Environmental Engineering (ENAC), Laboratory of Ecological Systems (ECOS), Lausanne, Switzerland.
PLoS One. 2014 Mar 14;9(3):e90882. doi: 10.1371/journal.pone.0090882. eCollection 2014.
Monitoring the properties of dissolved organic carbon (DOC) in soil water is frequently used to evaluate changes in soil quality and to explain shifts in freshwater ecosystem functioning.
Using >700 individual soils (0-15 cm) collected from a 209,331 km(2) area we evaluated the relationship between soil classification (7 major soil types) or vegetation cover (8 dominant classes, e.g. cropland, grassland, forest) and the absorbance properties (254 and 400 nm), DOC quantity and quality (SUVA, total soluble phenolics) of soil water.
Overall, a good correlation (r(2)= 0.58) was apparent between soil water absorbance and DOC concentration across the diverse range of soil types tested. In contrast, both DOC and the absorbance properties of soil water provided a poor predictor of SUVA or soluble phenolics which we used as a measure of humic substance concentration. Significant overlap in the measured ranges for UV absorbance, DOC, phenolic content and especially SUVA of soil water were apparent between the 8 vegetation and 7 soil classes. A number of significant differences, however, were apparent within these populations with total soluble phenolics giving the greatest statistical separation between both soil and vegetation groups.
We conclude that the quality of DOC rather than its quantity provides a more useful measure of soil quality in large scale surveys.
监测土壤水中溶解有机碳(DOC)的特性常用于评估土壤质量变化,并解释淡水生态系统功能的转变。
我们使用从209,331平方公里区域采集的700多个单独土壤样本(0 - 15厘米),评估土壤分类(7种主要土壤类型)或植被覆盖(8个优势类别,如农田、草地、森林)与土壤水的吸光度特性(254和400纳米)、DOC数量和质量(SUVA、总可溶性酚类)之间的关系。
总体而言,在所测试的多种土壤类型中,土壤水吸光度与DOC浓度之间呈现出良好的相关性(r² = 0.58)。相比之下,DOC以及土壤水的吸光度特性对于我们用作腐殖质浓度衡量指标的SUVA或可溶性酚类而言,预测能力较差。在8种植被类别和7种土壤类别之间,土壤水的紫外吸光度、DOC、酚类含量尤其是SUVA的测量范围存在明显的重叠。然而,在这些总体中也存在一些显著差异,总可溶性酚类在土壤和植被组之间的统计分离最为明显。
我们得出结论,在大规模调查中,DOC的质量而非其数量能更有效地衡量土壤质量。