Recently identified microbial guild mediates soil N2O sink capacity

By Christopher M. Jones, A. Spor, F. Brennan, M. Breuil, D. Bru, P. Lemanceau, B. Griffiths, S. Hallin, L. Philippot. 2014

439 citations recorded by the source corpus.

Subfields: Environmental Engineering, Plant Science, Soil Science

View Paper: https://www.semanticscholar.org/paper/7ebed782e4cc816ab692ad4c2b6b59c837fe6fe9

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In Environmental Engineering

In Plant Science

In Soil Science

Citations in the corpus

Selecting cost effective and policy-relevant biological indicators for European monitoring of soil biodiversity and ecosystem function (2016, methodology): “We focused on functional genes for nitrogen cycling 465 because previous studies showed that they were good candidate bioindicators for soil monitoring 466 and are increasingly common in the scientific literature (Ritz et al. 2009, Wessén and Hallin, 2011; 467 Jones et al., 2014).”
An Underground Revolution: Biodiversity and Soil Ecological Engineering for Agricultural Sustainability. (2016, background): “This is perhaps best exemplified by the discovery that a recently identified microbial guild mediates the soil sink capacity for the greenhouse gas N2O [15] or that bacteria responsible for anaerobic oxidation of ammonium (anammox) can make an important and hitherto overlooked contribution to nitrog”
The microbial nitrogen-cycling network (2018, background): “Intriguingly, organisms encoding this NOS variant often have no other nitrogen-oxide reductases 87, 91, 109 .”
Soil microbiome: a key player for conservation of soil health under changing climate (2019, background): “Various processes in nitrogen cycling are still poorly understood perhaps because it is best illustrated by the discovery that a recently identified microbes that mediates the soils capacity for the intake of green house gas like N2O (Jones et al. 2014) and bacteria that are responsible for anaerobi”
Microbes as Engines of Ecosystem Function: When Does Community Structure Enhance Predictions of Ecosystem Processes? (2016, background): “…R 2 0.59) and microbial predictors (average adjusted R 2 0.38) relative to other systems, and metrics of community diversity were more strongly correlated with the environment ( n = 7, average adjusted R 2 0.24) and had lower added value (average adjusted R 2 0.06) than in other ecosystem types.”