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The anaerobic soil volume as a controlling factor of denitrification: a review

反硝化 环境科学 缺氧水域 曝气 土壤水分 土壤有机质 环境化学 土壤科学 化学 水文学(农业) 氮气 生态学 地质学 生物 有机化学 岩土工程
作者
Steffen Schlüter,Maik Lucas,Balázs Grosz,Olaf Ippisch,Jan Zawallich,Hongxing He,René Dechow,David Kraus,Sergey Blagodatsky,Mehmet Şenbayram,Alexandra Kravchenko,Hans J. Vogel,Reinhard Well
出处
期刊:Biology and Fertility of Soils [Springer Nature]
被引量:4
标识
DOI:10.1007/s00374-024-01819-8
摘要

Abstract Denitrification is an important component of the nitrogen cycle in soil, returning reactive nitrogen to the atmosphere. Denitrification activity is often concentrated spatially in anoxic microsites and temporally in ephemeral events, which presents a challenge for modelling. The anaerobic fraction of soil volume can be a useful predictor of denitrification in soils. Here, we provide a review of this soil characteristic, its controlling factors, its estimation from basic soil properties and its implementation in current denitrification models. The concept of the anaerobic soil volume and its relationship to denitrification activity has undergone several paradigm shifts that came along with the advent of new oxygen and microstructure mapping techniques. The current understanding is that hotspots of denitrification activity are partially decoupled from air distances in the wet soil matrix and are mainly associated with particulate organic matter (POM) in the form of fresh plant residues or manure. POM fragments harbor large amounts of labile carbon that promote local oxygen consumption and, as a result, these microsites differ in their aeration status from the surrounding soil matrix. Current denitrification models relate the anaerobic soil volume fraction to bulk oxygen concentration in various ways but make little use of microstructure information, such as the distance between POM and air-filled pores. Based on meta-analyses, we derive new empirical relationships to estimate the conditions for the formation of anoxia at the microscale from basic soil properties and we outline how these empirical relationships could be used in the future to improve prediction accuracy of denitrification models at the soil profile scale.

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