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...
| Autores: | , , , , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2023 |
| País: | España |
| Institución: | Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya) |
| Repositorio: | Recercat. Dipósit de la Recerca de Catalunya |
| OAI Identifier: | oai:recercat.cat:10459.1/463905 |
| Acceso en línea: | https://doi.org/10.1016/j.envsoft.2023.105801 https://hdl.handle.net/10459.1/463905 |
| Access Level: | acceso abierto |
| Palabra clave: | Fire management scenarios Fire suppression Land abandonment Landscape dynamic modelling Prescribed fire |
| Sumario: | 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. |
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