scholarly journals Post-fire Soil Erosion Risk in Portugal– Prediction, Validation and Uncertainties of a Nation-wide MMF Application

Author(s):  
J. Parente ◽  
A. Girona-García ◽  
A.R. Lopes ◽  
J.J. Keizer ◽  
D.C.S. Vieira

Abstract Wildfires are a recurrent and increasing threat in mainland Portugal, where over 4,5 million hectares of forests and scrublands have burned over the last 38 years. These fire-affected landscapes have suffered an intensification of soil erosion processes, which can negatively affect soil carbon storage, reduce fertility, forest productivity, and become a source of pollutants. The main objective of the present study is to produce a post-fire soil erosion risk map for the forest and scrubland areas in Mainland Portugal and assess its reliability. To this end, the semi-empirical Morgan–Morgan–Finney erosion model was used to assess the potential post-fire soil erosion according to distinct scenarios (burn severity and climate), and the accuracy of the predictions was verified by an uncertainty analysis and validated against independent field datasets. The proposed approach successfully allowed mapping post-fire soil erosion in Portugal and identified the areas with higher post-fire erosion risk for past and future climate extremes. The outcomes of this study comprise a set of tools to help forest managers in their decision-making for post-fire emergency stabilization, ensuring the adequate selection and implementation of mitigation measures to minimize the economic and environmental losses caused by fire-enhanced soil erosion.

2021 ◽  
Author(s):  
Joana Parente ◽  
Ana Lopes ◽  
Antonio Girona-García ◽  
Marta Basso ◽  
Diana Vieira

<p>Wildfires are a recurrent and increasing threat in Mainland Portugal, where over 4,500 thousand hectares of forests and shrublands have burned in the last 38 years. Landscapes affected by those wildfires have suffered an increase of soil erosion processes, which can negatively affect soil carbon storage, reduce fertility, forest productivity, and become a source of pollutants. Taking these in mind, the main objective of this study is to offer a ground base of post-fire soil erosion risk determination for Mainland Portugal, which will provide a set of tools to help forest managers in the post-fire decision-making, and therefore adequately implement mitigation measures to prevent such impacts.</p><p>Post-fire soil erosion was assessed by the applying the semi-empirical soil erosion model Revised Morgan–Morgan–Finney(Morgan, 2001), to the entire Portuguese forest and shrubland areas according to distinct scenarios (burn severity, climate). This study benefits from the use of several reliable official datasets of soil characteristics, as also from several model calibrations and validation with field data collected in the last 10 years for the 1st and 2nd post-fire years. The obtained soil erosion map identifies areas with higher post-fire erosion risk in the past and for future climate extremes. Findings of this study will be a valuable tool for forest managers to minimize the economic and environmental losses of vegetation fires in Portugal.</p><p><strong>Acknowledgements</strong></p><p>This work was supported and conducted in the framework of the FEMME project (PCIF/MPG/0019/2017) funded by FCT - Portuguese Foundation for Science and Technology. The study was also supported by: i) National Funds by FCT - Portuguese Foundation for Science and Technology, under the project UIDB/04033/2020; and, ii) National Funds by FCT - Portuguese Foundation for Science and Technology, under the project UID/AMB/50017/2019. Data were provided by the European Forest Fire Information System – EFFIS (http://effis.jrc.ec.europa.eu) of the European Commission Joint Research Centre.</p>


2021 ◽  
Author(s):  
Diana Vieira ◽  
Joana Parente ◽  
Marta Basso ◽  
Ana Lopes ◽  
Antonio Girona-García

<p>As in any other Mediterranean region, wildfires highly affect Portuguese forests leading to substantial economic and ecological losses. Wildfires are also an important cause for the degradation of forest ecosystem services, which are responsible for the maintenance of water quality, flooding and soil erosion control. Considering that wildfire frequency is expected to increase in the future due to changes in climate and socio-economic drivers, future land degradation cause by wildfires is considered with great concern.</p><p>To tackle the impacts of wildfires on the affected ecosystems such as soil erosion is highly recommendable the use of adequate post-fire management practices for its mitigation. However, the dimension of the area affected by the 2017 wildfires in Portugal (500 thousand ha) showed the impossibility to effectively treat a nation-wide burned area for erosion control. Given this context, hydrological modelling arises as a key–tool for post-fire land management decision making, by identifying potential on-and-off-site post-fire impacts, and by allowing the selection of target areas with a higher soil erosion risk for the implementation of mitigation treatments.</p><p>To address this problem, the ESP team - under the FEMME project - defined the strategy of using soil erosion models at hillslope scale to address on-site impacts at the national level and catchment scale models to address off-site impacts. A national soil erosion risk map in case of a wildfire will help land managers to choose the priority areas for the implementation of emergency stabilization measures. While continuous and event-based hydrological models, will allow assessing the risks of water quality degradation and the occurrence of extreme hydrological events, which can impact downstream values-at-risk.</p><p>To understand if the chosen model approach is adequate to the problem in hand since it resulted in outputs with distinct spatial and temporal scales, we have decided to perform an evaluation focused on scales and model adaptations to burned areas. We were able to conclude that simple empirical models such as the Morgan-Morgan-Finney [1], which can provide predictions at hillslope and seasonal-to-annual scale, are well adapted to post-fire conditions and are useful to identify high risk areas for the implementation of mitigation treatments. On the other side, their simplicity does not allow to determine the risk of flooding or water bodies contamination, outside the burned area, and under specific rainfall events which implies a daily or sub-daily time-steps. For that purpose, spatially-explicit process-based such as SWAT [2] or LISEM [3] can provide a more detailed feedback, although there have been few model adaptations to burned conditions at this scale, especially considering the implementation of post-fire mitigation measures.</p><p> </p><p>[1] Morgan, R., 2001. A simple approach to soil loss prediction: a revised Morgan–Morgan–Finney model. Catena 44 (4): 305–322. https://doi.org/10.1016/S0341-8162(00)00171-5</p><p>[2] Arnold, J.G., Fohrer, N., 2005. SWAT2000: Current capabilities and research opportunities in applied watershed modelling. Hydrol. Process. 19, 563–572. https://doi.org/10.1002/hyp.5611</p><p>[3] De Roo APJ, Wesseling CG, Ritsema CJ (1996) LISEM: a single‐event physically based hydrological and soil erosion model for drainage basins. I: theory, input and output. Hydrological processes 10, 1107–1117.</p>


2011 ◽  
Vol 65 (1) ◽  
pp. 221-229 ◽  
Author(s):  
Xi Wang Zhang ◽  
Bing Fang Wu ◽  
Xiao Song Li ◽  
Shan Long Lu

2016 ◽  
Vol 2016 ◽  
pp. 1-8 ◽  
Author(s):  
Jarbou A. Bahrawi ◽  
Mohamed Elhag ◽  
Amal Y. Aldhebiani ◽  
Hanaa K. Galal ◽  
Ahmad K. Hegazy ◽  
...  

Soil erosion is one of the major environmental problems in terms of soil degradation in Saudi Arabia. Soil erosion leads to significant on- and off-site impacts such as significant decrease in the productive capacity of the land and sedimentation. The key aspects influencing the quantity of soil erosion mainly rely on the vegetation cover, topography, soil type, and climate. This research studies the quantification of soil erosion under different levels of data availability in Wadi Yalamlam. Remote Sensing (RS) and Geographic Information Systems (GIS) techniques have been implemented for the assessment of the data, applying the Revised Universal Soil Loss Equation (RUSLE) for the calculation of the risk of erosion. Thirty-four soil samples were randomly selected for the calculation of the erodibility factor, based on calculating theK-factor values derived from soil property surfaces after interpolating soil sampling points. Soil erosion risk map was reclassified into five erosion risk classes and 19.3% of the Wadi Yalamlam is under very severe risk (37,740 ha). GIS and RS proved to be powerful instruments for mapping soil erosion risk, providing sufficient tools for the analytical part of this research. The mapping results certified the role of RUSLE as a decision support tool.


2014 ◽  
Vol 11 (2) ◽  
pp. 323-341 ◽  
Author(s):  
M. Fantappiè ◽  
S. Priori ◽  
E.A.C. Costantini

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