Incorporating fire-smartness into agricultural policies reduces suppression costs and ecosystem services damages from wildfires

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In southern Europe, land abandonment and an unbalanced investment toward fire suppression instead of prevention has gradually increased wildfire risk, which calls for a paradigm change in fire management policies. Here we combined scenario analysis, fire landscape modelling, and economic tools to identify which land-use policies would reduce the expected wildfire-related losses in the Transboundary Biosphere Reserve ‘Gerês-Xurés’ (Spain-Portugal). To do so, we applied the least-cost-plus-net-value-change approach and estimated net changes in wildfire damages based on their implications for the 2010–2050 period and five ecosystem services: agriculture, pasture, timber, recreation and climate regulation. Four land-use scenarios were considered: (1) Business as Usual (BAU); (2) fire-smart, fostering more fire-resistant (less flammable) and/or fire-resilient landscapes (fire-smart); (3) High Nature Value farmlands (HNVf), wherein the abandonment of extensive agriculture is reversed; and (4) a combination of HNVf and fire-smart. HNVf is the best scenario for suppression cost savings, but it generates the lowest net present value of societal benefits from climate regulation. In fact, the most efficient scenario with the lowest societal discounted net suppression costs and change on ecosystem services damages is the HNVf + fire-smart scenario, as it also generates suppression cost savings from agricultural expansion, and lead to a significant reduction in damages on timber and recreational benefits. Therefore, reverting land abandonment through recultivation and promoting fire-resistant tree species is the most efficient way to reduce wildfire hazard. In this sense, payments for ecosystem services should reward farmers and landowners for their role in wildfire prevention. This study improves the understanding of the financial and societal benefits derived from reducing fire suppression spending and ecosystem services damage by undertaking fire-smart land-use strategies, which can be essential to enhance local stakeholders' support for Payments of Ecosystem Services policies for wildfire prevention.

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Lecina-Diaz, J., Chas-Amil, M. L., Aquilué, N., Sil, Â., Brotons, L., Regos, A., & Touza, J. (2023). Incorporating fire-smartness into agricultural policies reduces suppression costs and ecosystem services damages from wildfires. Journal of Environmental Management, 337, 117707. https://doi.org/10.1016/J.JENVMAN.2023.117707

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This work was funded by the project NORTE-01-0246-FEDER-000063, supported by Norte Portugal Regional Operational Programme (NORTE2020), under the PORTUGAL 2020 Partnership Agreement, through the European Regional Development Fund (ERDF). The authors also acknowledge research support from Fundação para a Ciência e Tecnologia, I.P, via national funds, in the scope of the project PCIF/MOG/0083/2017. J.L-D is funded by the Alexander von Humboldt Foundation. A.R. is funded by the Spanish Ministry of Science and Innovation (IJC2019-041033-I). N.A. is funded by the Spanish Ministry of Science and Innovation (FCJ2020-046387-I). Â. Sil received support from the Portuguese Foundation for Science and Technology (FCT) through Ph.D. Grant SFRH/BD/132838/2017, funded by the Ministry of Science, Technology and Higher Education, and by the European Social Fund - Operational Program Human Capital within the 2014–2020 EU Strategic Framework. This project was also supported by the European Union’s Horizon Europe research and innovation programme under grant agreement No 101060415, for the project "SELINA - Science for evidence-based and sustainable decisions about natural capital”; and contributed to the "FIRE-RES project", grant agreement No 101037419. We would like to thank the two anonymous reviewers that provided valuable feedback on the manuscript.

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© 2023 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/bync-nd/4.0/).
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