What is wrong with post-fire soil erosion modelling?

• DOI: 10.5194/egusphere-egu2020-210
• Publication Date: 2020-03-09T12:31:46Z
• Authors: Antonio Girona-Ga...; Ana Rita Lopes; Sofia Corticeiro; Ricardo Martins; Jacob Keizer; Diana Vieira
• Keywords: 13. Climate action; 11. Sustainability; 15. Life on land; 6. Clean water

<p>Wildfire patterns are shifting all over the world as a consequence, among others, of changes in land use and climate [1], which may entail remarkable social, environmental, economic implications. The occurrence wildfires is often linked to increased post-fire hydrological erosive responses, hard predict due complexity factors involved [2]. Against this background, soil erosion models arise resourceful tool decision-making process for environments that or could be affected by wildfires: from prevention mitigation emergency actions long-term planning. Nevertheless, current were not originally developed conditions, so they adapted include fire-related into their predictions [3]. This work aimed review scientific advances last twenty years modelling research meta-analysis approach.</p><p>To end, Scopus database was searched using different combinations terms “model”, “modelling”, “fire”, “wildfire” “hydrology”, “erosion”, “runoff”, “burn”, “burnt”, “soil erosion”, “sediment” “rill”. Afterwards, following publications excluded: a) reviews; b) journals without peer-review process; c) books book chapters; d) reports; e) editorials; f) conference proceedings; g) works conducted on individual processes; h) studies debris flows landslides; i) did conduct and/or modelling; j) English. Then, it identified whether authors included important related fire-affected such water infiltration, burn severity, application treatments. main approaches used, calibration validation predicted data, efficiency indexes also evaluated. </p><p>The screening resulted 33 (43 cases based model used) homogeneously distributed worldwide, neither according type nor regions most wildfires. For process, 70% burned conditions but only 25% them, input parameters improved accommodate processes previously represented. Additionally, severity infiltration considered 77 65% cases, respectively, whereas 26% corresponded where treatments applied. It noteworthy 19% data validated with independent field datasets uncertainty assessed 5% studies.</p><p>It highlighted further efforts required adaptation evaluating performance both stages wider variety scenarios, order accurately response after fires.</p><p>[1] Andela et al. (2017). Science 356: 1356-1362. DOI: 10.1126/science.aal4108</p><p>[2] Larsen & MacDonald (2007). Water Resour. Res. 43: W11412. 10.1029/2006WR005560</p><p>[3] Vieira (2018). Environ. 165: 365-378. 10.1016/j.envres.2018.04.029</p>