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Soil Research Soil Research Society
Soil, land care and environmental research
Soil Research

Soil Research

Volume 61 Number 6 2023

SR22009Modelling nitrous oxide emissions: comparing algorithms in six widely used agro-ecological models

Hongtao Xing, Chris. J. Smith 0000-0002-1087-9093, Enli Wang, Ben Macdonald 0000-0001-8105-0779 and David Wårlind
pp. 523-541

Agriculture is regarded as the most important source of nitrous oxide, an important greenhouse gas. We compare nitrous oxide responses to environmental factors in six widely used agroecological models to show the impacts of soil moisture, temperature, pH, and substrates on emissions from nitrification and denitrification. These detailed comparisons highlight the need to improve the models to better capture all known processes that are a source of nitrous oxide and reduce the uncertainty associated with the predicted emissions.


Soils act as a natural climate solution due to their large capacity for carbon storage. This study identifies cost-effective strategies that encourage soil carbon inventories to expand their focus into urban environments. To achieve carbon neutrality, urban planners should strive to identify areas that can be utilised for green spaces and conservation.

SR22251Nitrogen dynamics in alpine soils of south-eastern Australia

Samantha Grover 0000-0002-8836-4815, Samantha Grover 0000-0002-8836-4815, Jack Tate, Jack Tate, Charles Warren 0000-0002-0788-4713, Charles Warren 0000-0002-0788-4713, Susanna Venn 0000-0002-7433-0120 and Susanna Venn 0000-0002-7433-0120
pp. 560-568

This study detected 43 small organic N compounds in soils from the Australian Alps, with concentrations 30 times greater in microbial and salt-extractable pools than in the soil solution. Net N mineralisation decreased four-fold over the growing season. Organic matter decomposition rates were close to the global mean, while the stabilisation factor was high. This more detailed understanding of nitrogen dynamics can support scientifically-grounded management of the ecosystem services provided by the Australian Alps, a UNESCO-recognised biosphere reserve.

SR22265Mineralogical control on physically protected soil organic matter in a neotropical moist forest

Molly E. Huber, Joseph B. Yavitt 0000-0002-8292-7824 and S. Joseph Wright 0000-0003-4260-5676
pp. 569-581

Physical protection stabilises organic matter in most mineral soils, but whether this occurs via a hierarchy of aggregate particles or by build-up of organo–mineral associations, remains obscure, especially in tropical forest environments. Here we investigate by comparing soils with contrasting parent material, topography, and pedogenesis, but with similar tropical moist forest. The comparative approach identified clay mineralogy as an important control on physically protected soil organic matter and pointed to the aggregate hierarchy route.

SR22072Diversity and function of soil microorganisms in response to paddy–upland rotation system in sustainable restoration of saline-sodic soils

Jin Liu, Shunyi Wang, Canmin Hu, Tingting Li, Tianhao Wang, Ke Ma, Xueqin Ren 0000-0002-7706-776X and Shuwen Hu
pp. 582-597

The increased demand for food and global population growth urgently requires cultivation of a larger area of salinised soil. The paddy–upland rotation system has substantial influence on the sustainability of soil quality and microbial diversity. This research provides a sustainable and resource-saving management model for saline-alkali land, especially in arid and arid regions.

SR22168Rapid elemental prediction of heterogeneous tropical soils from pXRF data: a comparison of models via linear regressions and machine learning algorithms

Álvaro José Gomes de Faria 0000-0002-2817-5908, Sérgio Henrique Godinho Silva 0000-0003-2750-5976, Luiza Carvalho Alvarenga Lima, Renata Andrade, Lívia Botelho, Leônidas Carrijo Azevedo Melo 0000-0002-4034-4209, Luiz Roberto Guimarães Guilherme and Nilton Curi 0000-0002-2604-0866
pp. 598-615

Adequate decision making requires soil sampling followed by several costly and non-environmentally friendly laboratory analyses. However, proximal sensors have delivered promising results to accelerate and reduce the costs of this process. This study showed that pXRF could accurately predict the results of USEPA 3051a analysis (a standard method for tropical soils characterisation), using machine learning algorithms, at reduced costs and time, which is drastically important for developing countries, where lack of financial resources for detailed soil characterisation and environmental assessment is common.


Soil organic carbon (SOC) decreased moving downslope, demonstrating loss of SOC by erosion. There were strong and significant positive relationships of SOC with 137Cs and 210Pbex. The use of 210Pbex provides an alternative method for understanding erosion and deposition patterns as well as that of SOC.

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Best Student-Led Paper

The Best Student-Led Paper published in 2023 has been awarded to Guilherme Oliveira Andrade da Silva.

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