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Factors That Influence Nitrous Oxide Emissions from Agricultural Soils as Well as Their Representation in Simulation Models: A Review

期刊

AGRONOMY-BASEL
卷 11, 期 4, 页码 -

出版社

MDPI
DOI: 10.3390/agronomy11040770

关键词

denitrification; nitrification; N2O impact factor; N2O modelling; emission factors

资金

  1. China Scholarship Council [201708620181]
  2. University of Natural Resources and Life sciences, Vienna (BOKU) [HR21]

向作者/读者索取更多资源

This review examines the factors influencing N2O emissions from agricultural soils, categorizing them into environmental, management, and measurement factors. It discusses the strengths and weaknesses of process-based simulation models for estimating N2O emissions, and evaluates three commonly used models in simulating N2O emissions from cropping systems. The study provides insights into understanding and predicting N2O emissions, contributing to efforts to reduce greenhouse gas emissions.
Nitrous oxide (N2O) is a long-lived greenhouse gas that contributes to global warming. Emissions of N2O mainly stem from agricultural soils. This review highlights the principal factors from peer-reviewed literature affecting N2O emissions from agricultural soils, by grouping the factors into three categories: environmental, management and measurement. Within these categories, each impact factor is explained in detail and its influence on N2O emissions from the soil is summarized. It is also shown how each impact factor influences other impact factors. Process-based simulation models used for estimating N2O emissions are reviewed regarding their ability to consider the impact factors in simulating N2O. The model strengths and weaknesses in simulating N2O emissions from managed soils are summarized. Finally, three selected process-based simulation models (Daily Century (DAYCENT), DeNitrification-DeComposition (DNDC), and Soil and Water Assessment Tool (SWAT)) are discussed that are widely used to simulate N2O emissions from cropping systems. Their ability to simulate N2O emissions is evaluated by describing the model components that are relevant to N2O processes and their representation in the model.

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