Synergies Between Forest Biomass Extraction for Bioenergy and Fire Suppression in Mediterranean Ecosystems: Insights from a Storyline-and-Simulation Approach
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Increases in fire impacts over many regions of the world have led to large-scale investments in fire-suppression efforts. There is increasing recognition that biomass extraction for energy purposes may become an important forest-management practice in fire-prone ecosystems. However, at present, very few studies have explicitly assessed biomass extraction as a fuel treatment at landscape scale. Here, we use a landscape fire-succession model in Catalonia (NE Spain) to quantitatively evaluate the potential effects of a biomass extraction-based strategy on essential fire-regime attributes after considering different levels of fire suppression, biomass extraction intensity, and spatial allocation of such efforts. Our simulations indicated that the effectiveness (area suppressed in relation to expected area to burn) at suppressing wildfires was determined by extraction intensity, spatial allocation of the extraction effort, and the fire-suppression levels involved. Indeed, the highest suppressed-area values were found with lower harvesting intensities, especially under high fire-suppression capabilities and strategies focused on bioenergy goals (figures close to 0.7). However, the leverage (area suppressed in relation to managed area) was higher when the treatments were based on the fire-prevention strategy and focused on high-fire-risk areas (up to 0.45) than with treatment designed for energy reasons (lower than 0.15). We conclude that biomass extraction for energy purposes has the potential to induce changes in fire regimes and can therefore be considered a cost-effective landscape-level fuel-reduction treatment. However, our results suggest that large-scale biomass extraction may be needed if significant changes in fire regimes are to be expected.
Keywordsfire suppression forest fires forest harvesting MEDFIRE fire-succession model Mediterranean basin process-based model renewable energy scenarios-based analysis landscape simulations
This work received financial support under the research Projects, FORESTCAST (CGL2014-59742) and BIONOVEL (CGL2011-29539/BOS), funded by the Spanish Ministry of Education and Science, and it is a contribution to the FORESTERRA-ERANET Project INFORMED. Lluís Brotons, Núria Aquilué, and Adrián Regos benefited from the NEWFORESTS project (PIRSES-GA-2013-612645). Ignacio Lopez and Mireia Codina were supported by the strategic project of the MED programme PROFORBIOMED (1S-MED10-009) co-funded by the European Regional Development Fund. We thank the two anonymous referees for their valuable comments and constructive suggestions on the manuscript.
- CORINE. 2006. Land-use land-cover database 1:250000. Copenhagen, Denmark: European Environment Agency.Google Scholar
- GENCAT. 2014a. Estadístiques forestals. Produccions forestals i incendis. http://agricultura.gencat.cat/ca/departament/dar_estadistiques_observatoris/dar_estructura_produccio/dar_estadistiques_forestals/dar_produccions_forestals_incendis/. Accessed 21/10/2013.
- GENCAT. 2014b. Estratègia per promoure l’aprofitament energètic de la biomassa forestal i agrícola. Departament d’Agricultura, Ramaderia, Pesca i Alimentació. Generalitat de Catalunya.Google Scholar
- Graham R, Harvey A, Jain T, Tonn J. 1999. Effects of thinning and similar stand treatments on fire behavior in western forests. USDA Forest Service, Pacific Northwest Research Station, General Technical Report PNW-GTR-463.Google Scholar
- Ibañez JJ, Burriel JA. 2010. Mapa de cubiertas del suelo de Cataluña: características de la tercera edición y relación con SIOSE. In: Actas del XIV Congreso Nacional de Tecnologías de la Información Geográfica, Sevilla.Google Scholar
- Keeley J, Bond W, Bradstock R, Pausas J, Rundel P. 2012. Fire in mediterranean ecosystems: ecology, evolution and management. Cambridge: Cambridge University Press.Google Scholar
- Mason CL, Lippke BR, Zobrist KW, Bloxton TD Jr, Ceder KR, Comnick JM, Mccarter JB, Rogers HK. 2006. Investments in fuel removals to avoid forest fires result in substantial benefits. J For 104:27–31.Google Scholar
- McIver J, Erickson K, Youngblood A. 2012. Principal short-term findings of the National Fire and Fire Surrogate study. Gen. Tech. Rep. PNW-GTR-860. Portland, OR: U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station.Google Scholar
- MINECO. 2013. The Spanish renewable energy plan 2011–2020. Ministry of Industry, Energy and Tourism. http://www.minetur.gob.es/energia/en-us/novedades/paginas/per2011-2020voli.aspx. Accessed 12/06/2013.
- Nechodom M, Becker D, Haynes R. 2008. Evolving interdependencies of community and forest health. In: Donoghue E, Sturtevant V, Eds. Forest and community connections. Washington, DC: Resources for the Future. p 91–108.Google Scholar
- Paillet Y, Bergès L, Hjältén J, Ódor P, Avon C, Bernhardt-römermann M, Bijlsma R, De Bruyn L, Fuhr M, Grandin U, Kanka R, Lundin L, Luque S, Magura T, Matesanz S, Mészáros I, Sebastià M, Schmidt W, Standovár T, Tóthmérész B, Uotila A, Valladares F, Vellak K, Virtanen R. 2010. Biodiversity differences between managed and unmanaged forests: meta-analysis of species richness in Europe. Conserv Biol 24:101–12.CrossRefPubMedGoogle Scholar
- R Core Team. 2014. A language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing. http://www.r-project.org/.
- Regos A, D’Amen M, Herrando S, Guisan A, Brotons L. 2015. Fire management, climate change and their interacting effects on birds in complex Mediterranean landscapes: dynamic distribution modelling of an early-successional species—the near-threatened Dartford Warbler (Sylvia undata). J Ornithol 156:275–86.CrossRefGoogle Scholar
- Reinhardt ED, Keane RE, Calkin DE, Cohen JD. 2008. Objectives and considerations for wildland fuel treatment in forested ecosystems of the interior western United States. For Ecol Manag 256:1997–2006. http://linkinghub.elsevier.com/retrieve/pii/S0378112708006944.
- Stephens SL, Moghaddas JJ, Edminster C, Fiedler CE, Haase S, Harrington M, Keeley JE, Knapp EE, McIver JD, Metlen K, Skinner CN, Youngblood A. 2009. Fire treatment effects on vegetation structure, fuels, and potential fire severity in western U.S. forests. Ecol Appl 19:305–20.CrossRefPubMedGoogle Scholar
- Van Wagtendonk JW. 1996. Use of a deterministic fire growth model to test fuel treatments. In: Sierra Nevada Ecosystem Project: final report to congress, Vol. II. Final report to congress. Davis: Centers for Water and Wildland Resources. University of California, pp 1155–66.Google Scholar
- Villaescusa R, Díaz R. 1998. Segundo Inventario Forestal Nacional (1986–1996). Madrid: España. Ministerio de Medio Ambiente, ICONA.Google Scholar
- Villanueva JA. 2005. Tercer Inventario Forestal Nacional (1997–2007). Madrid: España. Ministerio de Medio Ambiente, ICONA.Google Scholar
- Winter GJ, Vogt C, Fried JS. 2002. Fuel treatments at the wildland-urban interface: common concerns in diverse regions. J For 100:15–21.Google Scholar