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Other literature type . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Project deliverable . 2025
License: CC BY
Data sources: Datacite
ZENODO
Project deliverable . 2025
License: CC BY
Data sources: Datacite
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Optimizing landscape configuration and fire management policies to minimize expected losses from EWE

Authors: Forest Science and Technology Centre of Catalonia; University of the Aegean; University of Lisbon; National Observatory of Athens;

Optimizing landscape configuration and fire management policies to minimize expected losses from EWE

Abstract

Prioritizing investments in forest and fuel management projects and measuring outcomes is a significant challenge. As a result, the need to prioritize and strategically place fuel treatments requires a methodological approach that accounts for the implementation costs and prioritization based on different management objectives for different landscapes. For that purpose, the ForSys spatial planning system was used to modernize tools to prioritize forest and fuel management investments and understand trade-offs among alternative scenarios. In addition, a proposed methodological framework has been applied on a forest matrix scenario that reflects alternative spatial distributions of forest biophysical attributes, to obtain an optimized spatial landscape configuration to increase resilience and address concerns with EWE and, to minimize potential losses caused by EWE by the optimal allocation of management options over the landscape.

Keywords

Trade-offs, Fuel Treatments, Scenario Planning, Forest Management Policies, Wildfire Simulations

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green