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Soil C and N models that integrate microbial diversity
Industrial agriculture is yearly responsible for the loss of 55–100 Pg of historical soil carbon and 9.9 Tg of reactive nitrogen worldwide. Therefore, management practices should be adapted to preserve ecological processes and reduce inputs and environmental impacts. In particular, the management of...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5011482/ https://www.ncbi.nlm.nih.gov/pubmed/27642273 http://dx.doi.org/10.1007/s10311-016-0571-5 |
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author | Louis, Benjamin P. Maron, Pierre-Alain Viaud, Valérie Leterme, Philippe Menasseri-Aubry, Safya |
author_facet | Louis, Benjamin P. Maron, Pierre-Alain Viaud, Valérie Leterme, Philippe Menasseri-Aubry, Safya |
author_sort | Louis, Benjamin P. |
collection | PubMed |
description | Industrial agriculture is yearly responsible for the loss of 55–100 Pg of historical soil carbon and 9.9 Tg of reactive nitrogen worldwide. Therefore, management practices should be adapted to preserve ecological processes and reduce inputs and environmental impacts. In particular, the management of soil organic matter (SOM) is a key factor influencing C and N cycles. Soil microorganisms play a central role in SOM dynamics. For instance, microbial diversity may explain up to 77 % of carbon mineralisation activities. However, soil microbial diversity is actually rarely taken into account in models of C and N dynamics. Here, we review the influence of microbial diversity on C and N dynamics, and the integration of microbial diversity in soil C and N models. We found that a gain of microbial richness and evenness enhances soil C and N dynamics on the average, though the improvement of C and N dynamics depends on the composition of microbial community. We reviewed 50 models integrating soil microbial diversity. More than 90 % of models integrate microbial diversity with discrete compartments representing conceptual functional groups (64 %) or identified taxonomic groups interacting in a food web (28 %). Half of the models have not been tested against an empirical dataset while the other half mainly consider fixed parameters. This is due to the difficulty to link taxonomic and functional diversity. |
format | Online Article Text |
id | pubmed-5011482 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-50114822016-09-16 Soil C and N models that integrate microbial diversity Louis, Benjamin P. Maron, Pierre-Alain Viaud, Valérie Leterme, Philippe Menasseri-Aubry, Safya Environ Chem Lett Review Industrial agriculture is yearly responsible for the loss of 55–100 Pg of historical soil carbon and 9.9 Tg of reactive nitrogen worldwide. Therefore, management practices should be adapted to preserve ecological processes and reduce inputs and environmental impacts. In particular, the management of soil organic matter (SOM) is a key factor influencing C and N cycles. Soil microorganisms play a central role in SOM dynamics. For instance, microbial diversity may explain up to 77 % of carbon mineralisation activities. However, soil microbial diversity is actually rarely taken into account in models of C and N dynamics. Here, we review the influence of microbial diversity on C and N dynamics, and the integration of microbial diversity in soil C and N models. We found that a gain of microbial richness and evenness enhances soil C and N dynamics on the average, though the improvement of C and N dynamics depends on the composition of microbial community. We reviewed 50 models integrating soil microbial diversity. More than 90 % of models integrate microbial diversity with discrete compartments representing conceptual functional groups (64 %) or identified taxonomic groups interacting in a food web (28 %). Half of the models have not been tested against an empirical dataset while the other half mainly consider fixed parameters. This is due to the difficulty to link taxonomic and functional diversity. Springer International Publishing 2016-07-21 2016 /pmc/articles/PMC5011482/ /pubmed/27642273 http://dx.doi.org/10.1007/s10311-016-0571-5 Text en © The Author(s) 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Review Louis, Benjamin P. Maron, Pierre-Alain Viaud, Valérie Leterme, Philippe Menasseri-Aubry, Safya Soil C and N models that integrate microbial diversity |
title | Soil C and N models that integrate microbial diversity |
title_full | Soil C and N models that integrate microbial diversity |
title_fullStr | Soil C and N models that integrate microbial diversity |
title_full_unstemmed | Soil C and N models that integrate microbial diversity |
title_short | Soil C and N models that integrate microbial diversity |
title_sort | soil c and n models that integrate microbial diversity |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5011482/ https://www.ncbi.nlm.nih.gov/pubmed/27642273 http://dx.doi.org/10.1007/s10311-016-0571-5 |
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