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

Pais, Silvana; Aquilué, Núria; Brotons, Lluís; Honrado, João P.; Fernandes, Paulo M.; Regos, Adrián

doi:10.1016/j.envsoft.2023.105801

Cited by 1 publication

(3 citation statements)

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“…It includes the main anthropogenic and natural (abiotic and biotic) drivers of landscape change to study their spatiotemporal interactions and feedback effects at short and medium timescales. REMAINS model (implemented in the R language: https://github.com/FirESmart-Project/ REMAINS (accessed on 1 November 2023)) allows the simulation of land-cover changes (agriculture abandonment or intensification) and forest-type conversions; wildfires (including fire ignition, spread, and extinction) and fire suppression; prescribed fire; and vegetation dynamics (natural succession and postfire regeneration) [49].…”

Section: The Remains Modelmentioning

confidence: 99%

“…The user has the flexibility to determine two key aspects: (i) the extent of area to be treated annually with PF and (ii) the criteria for selecting treatment's locations. Model parameters allow defining a time window during which past wildfires or PF can be used as suppression opportunities, and the extent of burning can be adjusted based on the characteristics of the ecosystem [49].…”

Section: The Remains Modelmentioning

confidence: 99%

“…In this work, we assess the effectiveness of PF as a management tool to reduce the fire hazard in a mountain area strongly affected by wildfires and land abandonment, the Transboundary Biosphere Reserve Gerês-Xurés (NW Iberia), considering the current firesuppression levels and plausible future land-use scenarios. We used the REMAINS model that couples a fire-vegetation dynamic model that simulates wildfires and vegetation dynamics, with a land-use change model [49]. The most-updated version of the model incorporates a submodule to simulate PF, which allows us to reproduce areas treated with planned fires, thus creating wildfire suppression opportunities in strategically selected locations.…”

Section: Introductionmentioning

confidence: 99%

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Optimizing Wildfire Prevention through the Integration of Prescribed Burning into ‘Fire-Smart’ Land-Use Policies

Pais,

Aquilué,

Honrado

et al. 2023

Fire

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Integrating fire into land management is crucial in fire-prone regions. To evaluate the effectiveness and efficiency of prescribed fire (PF), we employed the REMAINS model in NW Iberia’s Transboundary Biosphere Reserve Gerês-Xurés. We tested three levels of prescribed fire treatment effort for shrubland and grassland, employing three spatial allocation strategies: random distribution, prioritization in high-wildfire-risk zones, and creating fuel breaks by utilizing the existing road network. These approaches were assessed in isolation and in combination with three land-use scenarios: Business-as-usual (representing rural abandonment trends), High Nature Value farmland (reversing farmland abandonment), and Fire-Smart forest management (promoting fire-resistant landscapes). Our results confirm that PF is effective in reducing future wildfires (reductions up to 36%), with leverage values ranging from 0.07 to 0.45. Strategic spatial allocation, targeting wildfire-risk areas and existing road networks, is essential for maximizing prescribed fire’s efficiency (leverage effort of 0.32 and 0.45; i.e., approximately 3 ha of PF decrease subsequent wildfire by 1 ha). However, the PF treatments yield the best efficiency when integrated into land-use policies promoting ‘fire-smart’ landscapes (reaching leverage values of up to 1.78 under policies promoting ‘HNVf and ‘fire-smart’ forest conversion). These recommendations strengthen wildfire prevention and enhance landscape resilience in fire-prone regions.

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Section: The Remains Modelmentioning

confidence: 99%

Section: The Remains Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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