Long-Term Persistence of Three Microbial Wildfire Biomarkers in Forest Soils

Autor: Fernández-López, Antonio J. Fernández-González, Ana V. Lasa, José F. Cobo-Díaz, Pablo J. Villadas, Antonio J. Pérez-Luque, Fernando M. García-Rodríguez, Susannah G. Tringe, Manuel
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: Forests; Volume 14; Issue 7; Pages: 1383
ISSN: 1999-4907
DOI: 10.3390/f14071383
Popis: Long-term monitoring of microbial communities in the rhizosphere of post-fire forests is currently one of the key knowledge gaps. Knowing the time scale of the effects is indispensable to aiding post-fire recovery in vulnerable woodlands, including holm oak forests, that are subjected to a Mediterranean climate, as is the case with forests that are found in protected areas such as the Sierra Nevada National and Natural Park in southeastern Spain. We took rhizosphere soil samples from burned and unburned holm oak trees approximately 3, 6, and 9 years after the 2005 fire that devastated almost 3500 ha in southeastern Spain. We observed that the prokaryotic communities are recovering but have not yet reached the conditions observed in the unburned forest. A common denominator between this fire and other fires is the long-term persistence of three ecosystem recovery biomarkers—specifically, higher proportions of the genera Arthrobacter, Blastococcus, and Massilia in soil microbial communities after a forest fire. These pyrophilous microbes possess remarkable resilience against adverse conditions, exhibiting traits such as xerotolerance, nitrogen mineralization, degradation of aromatic compounds, and copiotrophy in favorable conditions. Furthermore, these biomarkers thrive in alkaline environments, which persist over the long term following forest fires. The relative abundance of these biomarkers showed a decreasing trend over time, but they were still far from the values of the control condition. In conclusion, a decade does not seem to be enough for the complete recovery of the prokaryotic communities in this Mediterranean ecosystem.
Databáze: OpenAIRE