Estudio de la causalidad de los incendios forestales en Galicia

Pernas, Jesús Barreal; Loureiro, María L.; Picos, Juan

doi:10.7201/earn.2012.01.04

Cited by 11 publications

(28 citation statements)

References 9 publications

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“…These include social isolation of forest owners, lack of economic profitability of forests, abandonment of forests and agricultural lands, etc. (Barreal et al, 2012). In this particular study, seven policies were suggested as potential remedies to prevent or reduce the current magnitude and frequency of forest fires, as well as to improve the conservation status of forest and its profitability.…”

Section: Methodsmentioning

confidence: 98%

“…Between 1989 and, fires in the region represented 40% of the total burned area in Spain (some years even 60%), being mostly caused by human actions, whether negligent or intentional (Barreal et al, 2012). The alarming aging and dispersion of rural population, the decline of agriculture and the lack of appropriate silvicultural treatments are some of the main causes of the increase of forest fires in Galicia.…”

Section: Introductionmentioning

confidence: 98%

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Applying Best–Worst Scaling in a stated preference analysis of forest management programs

Loureiro

Arcos

2012

JFE

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a b s t r a c tThe selection of an appropriate forest management program is an arduous task in which opinions and information are shared. In this research, we have tried to facilitate this process by applying the Best-Worst Scaling (BWS) method in order to discriminate among the various management alternatives and to identify the management preferences stated by a group of key actors in decision making process: common property forest owners. Descriptive results from the BWS method show the ranking for preventive wildfire policies from the best (most preferred) to the worst (least preferred) policy among those evaluated by forest owners. However, and after employing a Latent Class Model, we find that common forest owners can be classified into two different classes, especially distant in terms of preferences toward forest management priorities. On one hand, one of the classes (containing older individuals) is more likely to prefer policies based on direct economic incentives and quicker returns, whereas a second class (younger) prefers other policies that also contain environmental and social spillovers or benefits. Thus, we find that BWS may be a very suitable method of elicitation of preferences in the context of decision making under multiple conflicting criteria.

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Section: Methodsmentioning

confidence: 98%

Section: Introductionmentioning

confidence: 98%

Applying Best–Worst Scaling in a stated preference analysis of forest management programs

Loureiro

Arcos

2012

JFE

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“…• Deficient land management: Galicia is one of the regions with the highest vegetal production and plant growth in Spain. Galician territories have been increasing their areas with highly According to specialized studies [30][31][32][33][34][35], forest fires in Galicia are directly related to a mixture of environmental-territorial plus social-economic factors. These factors can be considered well-known and predictable, but they typically exceed the capabilities of extinction means.…”

Section: Galicia Social Vulnerability and Wildfiresmentioning

confidence: 99%

“…Extensive livestock used to have an impact on the forest landscape, favoring the mosaics and reducing fuel in the mountains of Galicia [35]. The decline in extensive livestock farming that has taken place in Spain (around 30% between 2004-2015) is thus considered an aggravating factor of forest fires [40].…”

Section: Social and Economic Factorsmentioning

confidence: 99%

Designing a Model to Display the Relation between Social Vulnerability and Anthropogenic Risk of Wildfires in Galicia, Spain

2019

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Since the beginning of the 21st century, most of the forest fires that have occured in Spain have taken place in the northern region of Galicia. This area represents 5.8% of the Spanish territory, but compromises, in certain years, up to 50% of the total number of wildfires. Current research on forest fires is focused mostly on physical or meteorological characteristics, post-fire situations, and their potential destructive capacities (main areas burnt, type of vegetation, economic loses, etc.). However, the academic research to date has not delved into other socioeconomic factors (population structure, density, livestock farms, education, among others), which compromise the existing pre-fire situation in the affected territories, and subsequently reflect the prevailing vulnerability of the population. Indeed, these socioeconomic variables can influence fire occurrence, whether positively or negatively. To fill in this knowledge gap, this article analyzes the relationship between wildfire events and the socioeconomic variables that characterize the Galician municipalities affected. To that effect, first, a thorough examination and selection of the most relevant socioeconomic variables, and their subsequent justification will be carried out. Then, using IBM SPSS statistics 24, a linear regression is executed using the data of wildfires that occurred in Galicia between 2001–2015. The resulting model allows a better knowledge of the importance of the socioeconomic situation in Galician municipalities when wildfires occur. Therefore, this result identifies the existing relationship between the socioeconomic variables and wildfire events, and consequently will help to optimize the interventions that must be done. This may be the best way to carry out prevention actions in order to reduce vulnerability to forest fires.

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“…En España, la Comunidad Autónoma de Galicia ha sido la región que ha acaparado el mayor número de incendios forestales en lo que va de siglo XXI. Según los estudios especializados que se analizan posteriormente en este artículo (Barreal et al, 2011;Barreal et al, 2012;Balsa & Hermosilla, 2013;Loureiro & Barreal, 2015), los incendios forestales en esta comunidad autónoma están directamente relacionados tanto con factores socioeconómicos conexos a la vulnerabilidad social (el envejecimiento poblacional o la baja densidad de población unida al escaso desarrollo económico) como con factores naturales o medioambientales (la ganadería extensiva, las zonas abandonadas o las zonas de interfaz urbano forestal). Ello indudablemente refuerza la necesidad tanto de investigar la relación entre las variables socioeconómicas y los incendios forestales de esta región, como de encontrar qué variables son más determinantes en su producción.…”

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Influencia de la realidad socioeconómica de Galicia en la dinámica de producción de incendios forestales

Abad

García

Vieites

2020

BAGE

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Galicia, con un 5,8 % de la superficie de España, concentró el 50% de los incendios forestales del país en el siglo XXI. Las investigaciones han analizado principalmente las características físicas y meteorológicas, las situaciones post- incendio y sus capacidades destructivas. Los factores socioeconómicos existentes antes del incendio en los territorios afectados han sido menos estudiados. Este artículo analiza la dinámica de los incendios forestales en Galicia entre 2001 y 2015. Concretamente, examina las tendencias espaciotemporales de su ocurrencia, la superficie afectada y la relación entre los incendios forestales y las características socioeconómicas de los distintos municipios gallegos. Para ello se realizó un análisis descriptivo exploratorio y un modelo de regresión lineal múltiple con dos variables dependientes diferentes, las Hectáreas quemadas y la Intensidad de los incendios; las variables independientes incluyeron tanto factores ambientales como aquellos aspectos socioeconómicos más relevantes. Los resultados muestran que existe una relación entre determinadas variables socioeconómicas indicativas de vulnerabilidad social (envejecimiento, tasa de masculinidad, baja densidad poblacional o pérdida de valor catastral) y los incendios forestales. Estos resultados pueden resultar de utilidad para la mejora en el diseño de acciones de prevención de incendios por parte de las autoridades responsables.

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Estudio de la causalidad de los incendios forestales en Galicia

Cited by 11 publications

References 9 publications

Applying Best–Worst Scaling in a stated preference analysis of forest management programs

Applying Best–Worst Scaling in a stated preference analysis of forest management programs

Designing a Model to Display the Relation between Social Vulnerability and Anthropogenic Risk of Wildfires in Galicia, Spain

Influencia de la realidad socioeconómica de Galicia en la dinámica de producción de incendios forestales

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