Wildfire effects on soil properties in fire-prone pine ecosystems: Indicators of burn severity legacy over the medium term after fire

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Title: Wildfire effects on soil properties in fire-prone pine ecosystems: Indicators of burn severity legacy over the medium term after fire
Authors: Fernández-García, Víctor | Miesel, Jessica | Baeza, M. Jaime | Marcos, Elena | Calvo, Leonor
Research Group/s: Gestión de Ecosistemas y de la Biodiversidad (GEB)
Center, Department or Service: Universidad de Alicante. Departamento de Ecología | CEAM (Centro de Estudios Ambientales del Mediterráneo)
Keywords: Fire severity | Large wildfire | Mediterranean Basin | Pinus pinaster | Pinus halepensis
Knowledge Area: Ecología
Issue Date: Mar-2019
Publisher: Elsevier
Citation: Applied Soil Ecology. 2019, 135: 147-156. doi:10.1016/j.apsoil.2018.12.002
Abstract: The aim of this study was to determine the effects of burn severity on soil properties (chemical, biochemical and microbiological) in fire-prone pine ecosystems three years after fire. To achieve these goals, we selected two large wildfires that occurred in summer 2012 within the Iberian Peninsula: the Sierra del Teleno wildfire, which burned 119 km2 dominated by Pinus pinaster forests developed over acidic soils, and the Cortes de Pallás wildfire, which burned 297 km2, part of them dominated by Pinus halepensis ecosystems with calcareous soils. We classified the burned areas into low or high burn severity categories using spectral indices. Three years after the wildfires, we distributed 56 field plots proportionally to the extent of each severity category. In each field plot, we collected samples of mineral soil from a depth of 0–3 cm. We analysed soil chemical (pH, electrical conductivity, organic carbon, total nitrogen, available phosphorus) biochemical (β-glucosidase, urease and acid phosphatase enzymatic activities) and microbiological (microbial biomass carbon) properties in each soil sample. The relationship between burn severity and soil properties was analysed by a Permutational Multivariate Analysis of Variance and Generalized Linear Models. The results showed a significant influence of the original ecosystem and of burn severity on the overall soil status over the medium term after fire. Available P content increased with burn severity in the acidic soils of the P. pinaster ecosystem. However, the three enzymatic activities and microbial biomass carbon decreased with burn severity in both types of pine ecosystems. β-glucosidase, urease and microbial biomass carbon showed common patterns in relation to burn severity in the two different Pinus ecosystems (acidic and calcareous soils), and therefore we suggest that they could be potential indicators of the burn severity legacy on soils over the medium term after fire in fire-prone pine Mediterranean forests. Available P and acid phosphatase could be potential indicators in the P. pinaster ecosystem. This study provides useful knowledge for developing hazard reduction and restoration strategies after large wildfires.
Sponsor: This study was financially supported by the Spanish Ministry of Economy and Competitiveness, and the European Regional Development Fund (ERDF), in the frame of the projects GESFIRE (AGL2013-48189-C2-1-R) and FIRESEVES (AGL2017-86075-C2-1-R); and by the Regional Government of Castile and León in the frame of the projects FIRECYL (LE033U14) and SEFIRECYL (LE001P17). We would like to thank the technical help provided by Rut Díez Romero, supported by the European Social Fund and Youth Employment Initiative through the Regional Government of Castile and León (workplace ULE-15). Víctor Fernández-García is supported by a predoctoral fellowship from the Spanish Ministry of Education (FPU14/00636).
URI: http://hdl.handle.net/10045/102248
ISSN: 0929-1393 (Print) | 1873-0272 (Online)
DOI: 10.1016/j.apsoil.2018.12.002
Language: eng
Type: info:eu-repo/semantics/article
Rights: © 2018 Elsevier B.V.
Peer Review: si
Publisher version: https://doi.org/10.1016/j.apsoil.2018.12.002
Appears in Collections:INV - GEB - Artículos de Revistas

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