The REMAINS R-package: Paving the way for fire-landscape modeling and management

Modelling landscape dynamics is crucial for assessing the potential effectiveness of upgraded land management. In fire-prone regions, wildfires play a critical role in shaping landscapes, and land-use and fire suppression policies strongly influence landscape patterns and fire regimes. In this paper...

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Veröffentlicht in:Environmental modelling & software : with environment data news 2023-10, Vol.168, p.105801, Article 105801
Hauptverfasser: Pais, Silvana, Aquilué, Núria, Brotons, Lluís, Honrado, João P., Fernandes, Paulo M., Regos, Adrián
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Sprache:eng
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Zusammenfassung:Modelling landscape dynamics is crucial for assessing the potential effectiveness of upgraded land management. In fire-prone regions, wildfires play a critical role in shaping landscapes, and land-use and fire suppression policies strongly influence landscape patterns and fire regimes. In this paper, we introduce REMAINS, a spatially explicit process-based model, implemented as a user-friendly R package. REMAINS enables the simulation of fire-landscape dynamics under different land-use and fire management scenarios. The package incorporates the spatial interaction of fire-related processes including fire ignition, spread and extinction, as well as vegetation dynamics such as including natural succession and post-fire regeneration. With a comprehensive set of functions, REMAINS allows for the simulation of two fire-suppression strategies, prescribed fire approaches, and land-use policy scenarios. Furthermore, REMAINS facilitates the assessment of the impacts of such management options on fire regime attributes. This model enhances capacity building beyond academia and supports policy- and decision-making process. •We introduce REMAINS: a fire-landscape model implemented as R package.•The package reproduces spatial interactions between fire-related processes and vegetation dynamics.•REMAINS allows simulating unplanned and planned fire under land-use policies.•REMAINS allows simulating integrated wildfire management scenarios.
ISSN:1364-8152
1873-6726
DOI:10.1016/j.envsoft.2023.105801