
You have already added 0 works in your ORCID record related to the merged Research product.
You have already added 0 works in your ORCID record related to the merged Research product.
<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=undefined&type=result"></script>');
-->
</script>
Fire affects the taxonomic and functional composition of soil microbial communities, with cascading effects on grassland ecosystem functioning

doi: 10.1111/gcb.14852
pmid: 31562826
AbstractFire is a crucial event regulating the structure and functioning of many ecosystems. Yet few studies have focused on how fire affects taxonomic and functional diversities of soil microbial communities, along with changes in plant communities and soil carbon (C) and nitrogen (N) dynamics. Here, we analyze these effects in a grassland ecosystem 9 months after an experimental fire at the Jasper Ridge Global Change Experiment site in California, USA. Fire altered soil microbial communities considerably, with community assembly process analysis showing that environmental selection pressure was higher in burned sites. However, a small subset of highly connected taxa was able to withstand the disturbance. In addition, fire decreased the relative abundances of most functional genes associated with C degradation and N cycling, implicating a slowdown of microbial processes linked to soil C and N dynamics. In contrast, fire stimulated above‐ and belowground plant growth, likely enhancing plant–microbe competition for soil inorganic N, which was reduced by a factor of about 2. To synthesize those findings, we performed structural equation modeling, which showed that plants but not microbial communities were responsible for significantly higher soil respiration rates in burned sites. Together, our results demonstrate that fire ‘reboots’ the grassland ecosystem by differentially regulating plant and soil microbial communities, leading to significant changes in soil C and N dynamics.
- UNIVERSITE PARIS DESCARTES France
- Tsinghua University China (People's Republic of)
- Département Sciences sociales, agriculture et alimentation, espace et environnement France
- Helmholtz Association of German Research Centres Germany
- Lawrence Berkeley National Laboratory United States
570, microbial communities, feu, incendie, California, Soil, séquençage à haut débit, californie, global change, Ecosystem, Soil Microbiology, changement climatique, communauté microbienne, Ecology, Californian grasslands, Microbiota, high‐throughput sequencing, prairie, 500, high-throughput sequencing, Biological Sciences, Grassland, Environmental sciences, [SDE.BE] Environmental Sciences/Biodiversity and Ecology, Biological sciences, Earth sciences, climate change, GeoChip, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, microbial community, grassland, Environmental Sciences, fire
570, microbial communities, feu, incendie, California, Soil, séquençage à haut débit, californie, global change, Ecosystem, Soil Microbiology, changement climatique, communauté microbienne, Ecology, Californian grasslands, Microbiota, high‐throughput sequencing, prairie, 500, high-throughput sequencing, Biological Sciences, Grassland, Environmental sciences, [SDE.BE] Environmental Sciences/Biodiversity and Ecology, Biological sciences, Earth sciences, climate change, GeoChip, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, microbial community, grassland, Environmental Sciences, fire
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).52 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 1% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
