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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.

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

Author: Cristal, Irina
Publisher: Zenodo
DOI: 10.5281/zenodo.17132749
Source: https://zenodo.org/records/17132749/files/8MFW_poster_session1_ICristal.pdf
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.