TREEADS PF-SDSS: a web-based spatial decision support system for post-fire management

Management Decision Rules TREEADS PF-SDSS: a web-based spatial decision support system for post-fire management Irina Cristal¹², Elena Puigdemasa¹, Marina Palmero-Iniesta¹³, Pere Pons¹ Background Changing fire regimes can disrupt natural ecosystem recovery. Despite the variety of restoration prioritization methods and evidence-based management actions, decision-makers often lack access to these resources. TREEADS project addresses these limitations by combining cloud computing, remote sensing, and decision algorithms into a webbased post-fire spatial decision support system (PF-SDSS) to aid both strategical and operational post-fire management planning. Scope TREEADS PF-SDSS aims to offer rapid post-fire assessment of vegetation and soil erosion and propose spatially explicit management alternatives within the spatial extent of Avila province, Spain. With a focus on usability, the system is designed to assist decision-makers and post-fire management practitioners in developing efficient, evidence-based post-fire management plans. Irina Cristal [email protected] ORCID ID: 0000-0001-6089-0824 TREEADS PF-SDSS allows a three-level management planning, encompassing fire impact assessment, strategic and operational management based on best practices. Integrating databases, models, and decision algorithms, the system contributes to structured decision-making, delivered through a user-friendly interface. Relying on remote sensing and cloud technologies, it offers timely postfire assessment without necessitating specialized software, or extensive data collection. Future work will focus on extending the spatial scope of the system. Conclusion Main references Alloza JA and Vallejo R. 2006. Restoration of burned areas in forest management plans.Desertification in the Mediterranean Region. A Security Issue. Dordrecht: Springer Netherlands. Arianoutsou M, Koukoulas S, and Kazanis D. 2011. Evaluating Post-Fire Forest Resilience Using GIS and Multi-Criteria Analysis: An Example from Cape Sounion National Park, Greece. Environ Manage 47: 384–97. Duguy B, Alloza JA, Baeza MJ, et al. 2012. Modelling the Ecological Vulnerability to Forest Fires in Mediterranean Ecosystems Using Geographic Information Technologies. Environ Manage 50: 1012–26. Pons P, Rost J, Tobella C, et al. 2020. Towards better practices of salvage logging for reducing the ecosystem impacts in Mediterranean burned forests. IForest 13: 360–8. TREEADS PF-SDSS design and development Mongo DB Object Storage External Services Soil Erosion Assessment Fire Severity Soil erodibility Slope Regeneration capacity Post-fire soil erosion Bare ground Vegetation recovery Assessment Fire Severity Aridity Fire recurrence Regeneration capacity Post-fire vegetation recovery Aspect Post-fire soil erosion Vegetation vulnerability Riparian Forest WUI Management unit map Nature protection Server ReactJS application with Google Maps API Tile service System Architecture Client Google Earth Engine Data Preparation: Avila province Slope 80% 9% Aspect N E, W S Regeneration capacity High Low *Sun exposure and high evapotranspiration rates create less favorable conditions for plant growth. Slope Impact on soil erosion 0 – 9% minimal 9 – 80% Linearly increasing 80 – 100% maximum Aspect Impact on vegetation recovery South Negative* North Positive East, West Neutral Regeneration Capacity = ∑ (𝑊𝑖 × 𝑅𝑖) / ∑𝑅 𝑖 𝑊 𝑖 = spatial occupancy of species 𝑅 𝑖 = recovery rate of species 𝑖 based on its post -fire reproductive strategy (e.g., resprouter , post-fire seeder, seeder) ¹ Universitat de Girona, Girona, Spain; ² Centre Tecnològic Forestal de Catalunya, Solsona, Spain; ³ Generalitat de Catalunya, Spain. Set pre and postfire date range <10% cloud cover Calculate fire severity Sentinel-2 repository True False Scan and Try! http request http response 6-day update User authentication European Forest Fire Information System EFFIS burned area database “Ecological restoration” “Post-fire management” Literature review N = 172 Selected articles 158 management actions linked to 6 management objectives Database design Additional layers Specific management objectives WUI Fire risk reduction Riparian forest Preserve riverbanks Nature conservation Protect and restore ecological integrity Nature conservation Conservation areas Protected fauna Acknowledgements This research is funded by the EU Horizon 2020 research and innovation programme under grant agreement No 101036926. We thank Eduard Mauri for the initial review of post-fire management actions and the SQD team for the software implementation.