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

Cristal, Irina

Abstract

Changing fire regimes can disrupt the natural recovery of ecosystems. While ecological restoration prioritization methods and evidence-based experimental management studies exist, decision-makers often lack access to these resources. To address this, we integrated cloud computing, remote sensing, and decision-making algorithms into a web-based post-fire spatial decision support system (PF-SDSS) to support both strategic and operational restoration management planning. The PF-SDSS aims to offer rapid assessments of fire impacts on vegetation and soil, and propose spatially explicit management alternatives based on evidence. Focusing on usability, the system is designed for local authorities and restoration practitioners, tasked with making efficient, evidence-based management decisions.

Full text

Managemen Decision Rules TREEADS PF-SDSS: a web-based spa ial decision suppo sys em o pos - i e managemen I ina C is al¹², Elena Puigdemasa¹, Ma ina Palme o-Inies a¹³, Pe e Pons¹ Backg ound Changing i e egimes can dis up na u al ecosys em eco e y. Despi e he a ie y o es o a ion p io i iza ion me hods and e idence-based managemen ac ions, decision-make s o en lack access o hese esou ces. TREEADS p ojec add esses hese limi a ions by combining cloud compu ing, emo e sensing, and decision algo i hms in o a web- based pos - i e spa ial decision suppo sys em (PF-SDSS) o aid bo h s a egical and ope a ional pos - i e managemen planning. Scope TREEADS PF-SDSS aims o o e apid pos - i e assessmen o ege a ion and soil e osion and p opose spa ially explici managemen al e na i es wi hin he spa ial ex en o A ila p o ince, Spain. Wi h a ocus on usabili y, he sys em is designed o assis decision-make s and pos - i e managemen p ac i ione s in de eloping e icien , e idence-based pos - i e managemen plans. I ina C is al [email p o ec ed] ORCID ID: 0000-0001-6089-0824 TREEADS PF-SDSS allows a h ee-le el managemen planning, encompassing i e impac assessmen , s a egic and ope a ional managemen based on bes p ac ices. In eg a ing da abases, models, and decision algo i hms, he sys em con ibu es o s uc u ed decision-making, deli e ed h ough a use - iendly in e ace. Relying on emo e sensing and cloud echnologies, i o e s imely pos - i e assessmen wi hou necessi a ing specialized so wa e, o ex ensi e da a collec ion. Fu u e wo k will ocus on ex ending he spa ial scope o he sys em. Conclusion Main e e ences Alloza JA and Vallejo R. 2006. Res o a ion o bu ned a eas in o es managemen plans.Dese i ica ion in he Medi e anean Region. A Secu i y Issue. Do d ech : Sp inge Ne he lands. A ianou sou M, Koukoulas S, and Kazanis D. 2011. E alua ing Pos -Fi e Fo es Resilience Using GIS and Mul i-C i e ia Analysis: An Example om Cape Sounion Na ional Pa k, G eece. En i on Manage 47: 384–97. Duguy B, Alloza JA, Baeza MJ, e al. 2012. Modelling he Ecological Vulne abili y o Fo es Fi es in Medi e anean Ecosys ems Using Geog aphic In o ma ion Technologies. En i on Manage 50: 1012–26. Pons P, Ros J, Tobella C, e al. 2020. Towa ds be e p ac ices o sal age logging o educing he ecosys em impac s in Medi e anean bu ned o es s. IFo es 13: 360–8. TREEADS PF-SDSS design and de elopmen Mongo DB Objec S o age Ex e nal Se ices Soil E osion Assessmen Fi e Se e i y Soil e odibili y Slope Regene a ion capaci y Pos - i e soil e osion Ba e g ound Vege a ion eco e y Assessmen Fi e Se e i y A idi y Fi e ecu ence Regene a ion capaci y Pos - i e ege a ion eco e y Aspec Pos - i e soil e osion Vege a ion ulne abili y Ripa ian Fo es WUI Managemen uni map Na u e p o ec ion Se e Reac JS applica ion wi h Google Maps API Tile se ice Sys em A chi ec u e Clien Google Ea h Engine Da a P epa a ion: A ila p o ince Slope 80% 9% Aspec N E, W S Regene a ion capaci y High Low *Sun exposu e and high e apo anspi a ion a es c ea e less a o able condi ions o plan g ow h. Slope Impac on soil e osion 0 – 9% minimal 9 – 80% Linea ly inc easing 80 – 100% maximum Aspec Impac on ege a ion eco e y Sou h Nega i e* No h Posi i e Eas , Wes Neu al Regene a ion Capaci y = ∑ (𝑊𝑖 × 𝑅𝑖) / ∑𝑅 𝑖 𝑊 𝑖 = spa ial occupancy o species 𝑅 𝑖 = eco e y a e o species 𝑖 based on i s pos - i e ep oduc i e s a egy (e.g., esp ou e , pos - i e seede , seede ) ¹ Uni e si a de Gi ona, Gi ona, Spain; ² Cen e Tecnològic Fo es al de Ca alunya, Solsona, Spain; ³ Gene ali a de Ca alunya, Spain. Se p e and pos - i e da e ange <10% cloud co e Calcula e i e se e i y Sen inel-2 eposi o y T ue False Scan and T y! h p eques h p esponse 6-day upda e Use au hen ica ion Eu opean Fo es Fi e In o ma ion Sys em EFFIS bu ned a ea da abase “Ecological es o a ion” “Pos - i e managemen ” Li e a u e e iew N = 172 Selec ed a icles 158 managemen ac ions linked o 6 managemen objec i es Da abase design Addi ional laye s Speci ic managemen objec i es WUI Fi e isk educ ion Ripa ian o es P ese e i e banks Na u e conse a ion P o ec and es o e ecological in eg i y Na u e conse a ion Conse a ion a eas P o ec ed auna Acknowledgemen s This esea ch is unded by he EU Ho izon 2020 esea ch and inno a ion p og amme unde g an ag eemen No 101036926. We hank Edua d Mau i o he ini ial e iew o pos - i e managemen ac ions and he SQD eam o he so wa e implemen a ion.