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Autor(en) / Beteiligte
Titel
Combined Use of a Bacterial Consortium and Early-Colonizing Plants as a Treatment for Soil Recovery after Fire: A Model Based on Los Guájares (Granada, Spain) Wildfire
Ist Teil von
  • Biology (Basel, Switzerland), 2023-08, Vol.12 (8), p.1093
Ort / Verlag
Switzerland: MDPI AG
Erscheinungsjahr
2023
Quelle
EZB Electronic Journals Library
Beschreibungen/Notizen
  • During 2022, intense heat waves, together with particularly extreme dry conditions, created a propitious scenario for wildfires, resulting in the area of vegetation consumed in Europe doubling. Mediterranean countries have been particularly affected, reaching 293,155 hectares in Spain, the worst data in the last 15 years. The effects on the vegetation and the soil are devastating, so knowing the recovery factors is essential for after-fire management. Resilient microorganisms play a fundamental role in rapid nutrient recycling, soil structure, and plant colonization in fire-affected soils. In this present work, we have studied emergent microbial communities in the case of the Los Guájares (Granada, Spain) fire, one of the most extensive of the year, to evaluate their role in the recovery of soil and vegetation cover. We aim to discern which are the main actors in order to formulate a new treatment that helps in the ecosystem recovery. Thus, we have found the relevant loss in phosphorous and potassium solubilizers, as well as siderophores or biofilm producers. Here, we decided to use the strains AC, CB, DC, C, CD, and AI as a consortium, as they showed most of the capacities required in a regenerative treatment. On the other hand, the microcosm test showed an enhanced pattern of germination of the emerging model plant, , as well as a more aggregated structure for soil. This new approach can create a relevant approach in order to recover fire-affected soils in the future.
Sprache
Englisch
Identifikatoren
ISSN: 2079-7737
eISSN: 2079-7737
DOI: 10.3390/biology12081093
Titel-ID: cdi_doaj_primary_oai_doaj_org_article_6da4022a911540df8b51c64a3d35e2fb

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