Meghan Barnard , Ram C. Dalal , Brigid A. McKenna , Jeremy L. Wykes , Bruce C.C. Cowie , Peter M. Kopittke
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引用次数: 0
Abstract
Soil sulfur (S) cycling is of increasing interest for crop S supply, given that S inputs to soils have declined due to the application of high-analysis (low-S) fertilisers and decreased atmospheric SO2 emissions. This study uses three paired sites [undisturbed (native) and cropped (up to 82 y)] from subtropical Australia to examine the impact of land use change on soil S composition. Soil organic matter (SOM) was separated into three fractions: free particulate organic matter (fPOM), occluded POM (oPOM), and fine mineral-associated organic matter (fine-MAOM), before using X-ray absorption near-edge structure (XANES) spectroscopy for analyses of S speciation. In the native soils, S speciation across the SOM fractions was distinct. Both POM fractions were dominated by reduced thiol and thio-ether groups (∼33 %), with an average S oxidation state of +2.4. In contrast, the S in the fine-MAOM was mostly oxidised sulfate ester and sulfate (44 %), with an average oxidation state of +3.9. The loss of SOM during long-term cropping caused a concomitant loss in S – up to 99 % of S was lost from the less protected fPOM fraction, while only 44 % of S was lost from the fine-MAOM. Under cropping, the bulk soil shifted to higher proportions of oxidised S. However, this was not caused by a change in S speciation within any SOM fraction but was due to the decreased contributions of POM fractions to the bulk soil. This study develops our understanding of the influence of cropping on S speciation and the role of SOM fractions in S dynamics.
期刊介绍:
Agriculture, Ecosystems and Environment publishes scientific articles dealing with the interface between agroecosystems and the natural environment, specifically how agriculture influences the environment and how changes in that environment impact agroecosystems. Preference is given to papers from experimental and observational research at the field, system or landscape level, from studies that enhance our understanding of processes using data-based biophysical modelling, and papers that bridge scientific disciplines and integrate knowledge. All papers should be placed in an international or wide comparative context.