EGU22-543, updated on 26 Mar 2022
https://doi.org/10.5194/egusphere-egu22-543
EGU General Assembly 2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Impact of wildfires on long-term erosion rates: comparing connectivity indices and landscape evolution modelling

Joana Parente1, João Pedro Nunes1,2, Jantiene Baartman2, and Dante Föllmi2
Joana Parente et al.
  • 1University of Aveiro, Centre for Environmental and Marine Studies (CESAM), Coimbra, Portugal (joaparente@gmail.com)
  • 2Soil Physics and Land Management Group, Wageningen University & Research, the Netherlands, Soil Physics and Land Management Group, Wageningen University & Research, Wageningen, 6700 AA, the Netherlands (joao.carvalhonunes@wur.nl; jantiene.baartman@wur.nl;

Mediterranean countries, such as Portugal, are often associated with soil erosion and land degradation risks, which cause an increasing pressure on ecosystem services. In most of these countries, wildfires occur during the summer, and are usually followed by heavy rainfall events which, in combination with steep slopes and in some cases lack of vegetation cover, can easily provoke runoff and erosion. This is generally due to three main erosion contribution processes: i) a reduction of interception and evapotranspiration; ii) a decrease in infiltration and soil water retention; iii) a reduction in obstacles. For the latter, burnt areas tend to increase water and sediment connectivity by changing vegetation cover and physico-chemical soil properties. Sediment connectivity in a specific catchment is affected by its size, land cover and land use, and the distribution of hillslopes and floodplains (Borselli et al., 2008). Taking this in mind, this study aims to assess post-fire soil erosion patterns at the decadal scale comparing different approaches. The methodology comprises i) a process-based model that is able to investigate long-term and large-scale spatial landscape evolution, LAPSUS; (ii) an index that represents a connectivity assessment based on local landscape information, the Borselli Index of Connectivity (IC); and (iii) an index that represents the sediment eroded that actually reaches the stream based on local landscape information, combining the IC with the Revised Universal Soil Loss Equation (RUSLE) model. Results include a comparison between the approaches used in the context of specific fire events between 1979 and 2020 for the Agueda watershed in central Portugal. The authors believe that assessing the spatial-temporal evolution of connectivity in the actual landscape with the right tool is extremely important to estimate the probability that a given part of the landscape transfers its sediments elsewhere in the catchment.

References

Borselli, L., Cassi, P., Torri, D., 2008. Prolegomena to sediment and flow connectivity in the landscape: A GIS and field numerical assessment. Catena 75, 268–277. https://doi.org/10.1016/j.catena.2008.07.006 

Acknowledges

This work was produced in the framework of project FRISCO - managing Fire-induced RISks of water quality Contamination (PCIF/MPG/0044/2018), and funding attributed to the CE3C research center (UIDB/00329/2020). 

How to cite: Parente, J., Nunes, J. P., Baartman, J., and Föllmi, D.: Impact of wildfires on long-term erosion rates: comparing connectivity indices and landscape evolution modelling, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-543, https://doi.org/10.5194/egusphere-egu22-543, 2022.

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