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Characterizing the redox status in three different forested wetlands with geochemical data

机译：利用地球化学数据表征三个不同森林湿地的氧化还原状态

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摘要

Biogeochemistry and regulation of redox processes in wetlands and especially their source sink functions regarding sulfur, nitrogen, iron, and alkalinity are still poorly understood and become increasingly important in a world of global change. We investigated three forested wetlands within the Lehstenbach catchment (Fichtelgebirge, Northeastern Bavaria, Germany) differing in their degree of water saturation, vegetation, and availability of iron with stable sulfur analysis as well as geochemical analysis (iron, nitrate, sulfate, and oxygen contents in soil solutions and groundwater). Results indicated considerable nitrate, sulfate, and iron reduction rates bound to high spatial and temporal heterogeneity at all three sites. Sites differed significantly regarding their oxygen saturation and their dynamics of sulfur and iron reduction. The sequential reduction chain did not seem an applicable concept to describe redox dynamics at micro-(cm(2)) or mesoscale (m(2)) because of (1) high small-scale heterogeneity and (2) an absence of clear relationships between redox indicative parameters. The latter might be caused by redox processes occurring simultaneously at the investigated spatial and temporal scales. However, a tendency toward exclusive relationships between oxygen and iron, nitrate and iron, and delta S-34 with oxygen, nitrate, and sulfate indicated that the sequential reduction chain might be a suitable modeling concept for macroscale (km(2)) investigations with large sample numbers.
机译：湿地的生物地球化学和氧化还原过程的调控，尤其是其关于硫，氮，铁和碱的源汇功能仍然知之甚少，并且在全球变化的世界中变得越来越重要。我们通过稳定的硫分析和地球化学分析（铁，硝酸盐，硫酸盐和氧含量）调查了莱斯特滕巴赫流域（德国东北巴伐利亚的菲希特尔比格）内三个森林湿地的水饱和度，植被和铁的有效性不同在土壤溶液和地下水中）。结果表明，硝酸盐，硫酸盐和铁的还原率相当高，这在所有三个位置上都具有很高的时空异质性。氧饱和度以及硫和铁还原的动力学差异很大。顺序还原链似乎不适用于描述在micro-（cm（2））或中尺度（m（2））上的氧化还原动力学，因为（1）小范围的高异质性和（2）缺乏明确的关系氧化还原指示参数之间。后者可能是由在研究的时空尺度上同时发生的氧化还原过程引起的。但是，氧和铁，硝酸盐和铁以及δS-34与氧，硝酸盐和硫酸盐之间存在排他关系的趋势表明，顺序还原链可能是适用于宏观（km（2））研究的建模概念大样本数。

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