TY - JOUR
T1 - What ecological factors to integrate in landslide susceptibility mapping?
T2 - An exploratory review of current trends in support of eco-DRR
AU - Broquet, Mélanie
AU - Cabral, Pedro
AU - Campos, Felipe S.
N1 - info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04152%2F2020/PT#
10.3030/801370#
Broquet, M., Cabral, P., & Campos, F. S. (2024). What ecological factors to integrate in landslide susceptibility mapping? An exploratory review of current trends in support of eco-DRR. Progress in Disaster Science, Article 100328. https://doi.org/10.1016/j.pdisas.2024.100328 --- This research was supported by the Portuguese Science Foundation – FCT, under the projects UIDB/04152/2020 – Information Management Research Center (MagIC/NOVA IMS), the European Union-NextGenerationEU, and the Beatriu de Pinós fellowship 2022 – BP 00092 (funded by the Catalan Government and the EU COFUND programme of the Marie Sklodowska-Curie Actions).
PY - 2024/4/1
Y1 - 2024/4/1
N2 - Ecosystem-based Disaster Risk Reduction (Eco-DRR) reflects the important role that natural ecosystems play in reducing the likelihood, severity, and impact of environmental disasters such as landslides. However, landslide risk assessments often lack explicit references to Eco-DRR and unified frameworks, notably for its Landslide Susceptibility Assessment (LSA). Here, we assess how ecological factors are integrated into LSAs and the feasibility of measuring them, using open Earth Observation (EO) data. We conduct an exploratory review for identifying the factors used in LSAs and ecosystem assessments, determining their commonalities. Key findings indicate that standardization is more lacking in ecosystem assessments than in LSAs, with the former exhibiting a higher dispersion of factors—195 identified across 41 papers—compared to the latter, where only 46 factors were identified across 30 studies. LSAs and ecosystem assessments shared 19 common factors, with only two, the Normalized Differential Vegetation Index (NDVI) and Land Use and Land Cover (LULC), being widely accepted criteria. Our study contributes to advancing Eco-DRR practices by proposing concrete measures to expand the ecological perspective in LSAs and fostering collaboration between DRR and conservation domains. Ultimately, it raises awareness of the pivotal role that healthy ecosystems play in mitigating disasters and addressing societal challenges.
AB - Ecosystem-based Disaster Risk Reduction (Eco-DRR) reflects the important role that natural ecosystems play in reducing the likelihood, severity, and impact of environmental disasters such as landslides. However, landslide risk assessments often lack explicit references to Eco-DRR and unified frameworks, notably for its Landslide Susceptibility Assessment (LSA). Here, we assess how ecological factors are integrated into LSAs and the feasibility of measuring them, using open Earth Observation (EO) data. We conduct an exploratory review for identifying the factors used in LSAs and ecosystem assessments, determining their commonalities. Key findings indicate that standardization is more lacking in ecosystem assessments than in LSAs, with the former exhibiting a higher dispersion of factors—195 identified across 41 papers—compared to the latter, where only 46 factors were identified across 30 studies. LSAs and ecosystem assessments shared 19 common factors, with only two, the Normalized Differential Vegetation Index (NDVI) and Land Use and Land Cover (LULC), being widely accepted criteria. Our study contributes to advancing Eco-DRR practices by proposing concrete measures to expand the ecological perspective in LSAs and fostering collaboration between DRR and conservation domains. Ultimately, it raises awareness of the pivotal role that healthy ecosystems play in mitigating disasters and addressing societal challenges.
KW - Nature-based solutions
KW - Eco-DRR
KW - Landslide susceptibility assessment
KW - Ecosystem extent
KW - Ecosystem condition
KW - Conditioning factors
UR - http://www.scopus.com/inward/record.url?scp=85192153136&partnerID=8YFLogxK
UR - https://www.webofscience.com/wos/woscc/full-record/WOS:001239984600001
U2 - 10.1016/j.pdisas.2024.100328
DO - 10.1016/j.pdisas.2024.100328
M3 - Review article
SN - 2590-0617
VL - 22
SP - 1
EP - 17
JO - Progress in Disaster Science
JF - Progress in Disaster Science
M1 - 100328
ER -