iForest - Biogeosciences and Forestry

iForest - Biogeosciences and Forestry

Wildland fire typologies and extreme temperatures in NE Spain

iForest - Biogeosciences and Forestry, Volume 10, Issue 1, Pages 9-14 (2016)
doi: https://doi.org/10.3832/ifor1939-009
Published: Nov 01, 2016 - Copyright © 2016 SISEF

Research Articles

Understanding instrumental factors dealing with the development of large wildland fires is a need. Fire spread typologies and extreme temperature days were studied in the 1978-2012 period in Aragón (NE Spain). Temperature was examined at 850 hPa to characterize the low troposphere state and wildfires were grouped in three fire spread typologies: convective fires, wind-driven fires and topography-driven fires. The analysis of wildland fire propagation typologies revealed that convective fires burned the majority of total area burned, resulting in the larger and the most closely typology related to high temperature days (HTDs). Drought Code (DC) correlation with HTDs and wildland fire size was weak.

Wildland Fire, Fire Spread Patterns, Forestry, Heat Waves, Climate Change


Southern European countries like Spain have many wildland fires each year, causing enormous losses in terms of human lives, environmental damage and economic disruptions ([29], [32], [33]). Over the last years wildland fires became more and more extreme and usually exceeding firefighting capabilities ([26]). Frequently, simultaneous wildland fires occur and fire agencies collapse while trying to both suppress extreme-behavior fires and provide safety for firefighters and citizens.

Understanding instrumental factors dealing with the development of large wildland fires is a need. Climate/weather, fuels, and people influence fire spread and behavior ([14], [36]). Climate-change projections for the Mediterranean Basin show a higher variability in weather conditions and an increase in extreme weather events, with longer, more frequent, and even more intense heat weaves ([27], [11], [17], [30], [16], [4]). Summer heat waves or high temperature days (HTDs, short periods with very hot days and very low air humidity) will grow in number and intensity due to climate change ([30], [16]), increasing the probability of main wildland fire (MWF) occurrence ([6]). Although both climate and weather are considered the principal modeling factors ([14], [35]), further considerations must be taken into account when studying a particular region. For example, in Aragón agricultural abandonment and increasing fuel load are serious concerns regarding large wildland fires.

Dominant fire spread patterns are related to specific synoptic weather conditions, topography, or fuels, determining fire behavior and thus fire suppression opportunities ([8]). Depending on the spread scheme, fires have been usually classified into three different fire spread patterns according to the dominant spread factor: topography (topography-driven fires), wind (wind-driven fires) or fuel accumulation that could be related to convective fires ([23], [12]). Topography-driven fires are characterized by local convective winds caused by differential solar heating of the land surface. Fire varies direction along the slopes and is supported by local winds. Fire behavior is usually higher in daytime due to the alignment between slope and wind. Wind-driven fires are characterized by synoptic winds. Both fire speed and direction do not change in a significant way during the episode. Wind brings the flame closer to fresh fuel, thus accelerating spread in the wind direction ([31]) owing to radiation and forced convection heat transfer ([2]). Convection or plume driven fires are related to very high fuel loads with low fuel moisture. Fire behavior is usually extreme with massive spotting fires. Fire generates a large amount of heat and convection setting their fire behavior. The hot air mass situated on top of the fire rises by convection, and new cold drafts enter the fire area, reactivating fire activity and increasing fire intensity ([12]).

Finding forecast tools to identify fire spread patterns (fire typologies) and MWF occurrence is frequently very difficult ([38], [13], [3]).The aim of this study is to analyze whether dominant fire spread patterns are more likely to occur under HTD or non-HTD conditions or are correlated to Drought Code (DC) index. MWFs were classified attending to its main spreading factor (convection, topography or wind), analyzing their relative importance in terms of fire number, burned area and fire size in Aragón (NE Spain) and studying whether DC index or HTDs could be precise indicators to identify fire spread patterns, especially convective fires.


Study area

This work focuses on the Spanish region of Aragón (Fig. 1). Located in the northeastern part of the country, Aragón comprises three provinces: Teruel, Huesca, and Zaragoza. Aragón is the fourth largest region in Spain (47.719 km2, 9.4 % of the total area of the country). The population density is low (28.3 people km-2).

Fig. 1 - Geographic location of Aragón in Europe.

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Aragón is part of the most susceptible European area to a significant increase in extreme-temperature events and to sustain some of the most significant impacts ([18], [16]). The region is bordered by two mountain chains: the Pyrenees (maximum altitude 3404 m, Aneto) and the Iberian System (maximum altitude 2314 m, Moncayo), and crossed by a major river (Ebro). The environment of Aragón varies from high mountains in the north-central Pyrenees, with glaciers, to steppe or semi-arid areas such as Monegros. The climate in Aragón can be generally regarded as a Mediterranean climate with continental tendencies; however, the complex topography influences it generating local climate variability. The mean annual temperature ranges from 22.5 °C in the Ebro valley to 5 °C in the highest areas of the Pyrenees. Moreover, the average annual rainfall varies ranging from 1800 mm in the Pyrenees to 300 mm in the valley ([1]). Regarding wildland vegetation, it is strongly conditioned by relief and climate. Upland forests present several tree species such as pines (Pinus sylvestris, P. uncinata, P. nigra, P, halepensis), fir (Abies alba), beech (Fagus sylvatica), Maples (Acer sp.) and oaks (Quercus sp.), shrubs and meadows. In the Ebro valley, the most common tree species are oaks and junipers (Juniperus oxycedrus, J. comunis and J. thurifera), which are replaced by shrubs and grasslands in degraded areas.

Main wildland fires and fire typologies

In this work, we have defined main wildland fires (MWF) as those burning over 60 ha. We selected that interval because whilst they represented just 2.62% of the total number of fires for the period 1978-2012, they accounted for 85.35% of the total area burned in Aragón. It is known that in many Mediterranean regions a restricted number of main wildland fires accounts for a large amount of the total burned area ([32]). In the analyzed period, 223 MWFs burned almost 148.000 ha in Aragón (NE Spain) during the summer season (June-September, when wildland fires mostly happen). Analyzed data were extracted from the historical wildland fire databases provided by the Wildland Fire National Statistics (EGIF) of the Spanish Ministry of Environment and Rural and Marine Affairs (MARM), a national administration in charge for compiling statistics, backing up regional firefighting actions, and coordinating fire suppression at the national level. This comprises the wildland fire reports sent to the MARM by the Fire-Fighting and Forest Management Services of all the Spanish regions.

We used Pettitt’s test to detect changes in burned area in the study period. It is a non-parametric test to detect abrupt changes in the mean of the distribution of the variable of interest. Although the method did not find any significant shift at a point of the study period, we split the study period in two time intervals (1978-1993 and 1994-2012) addressing differences in HTD patterns to explore changes in terms of fire number, burned area and fire typologies. The second time interval includes the years with the highest values of number of HTDs (1994, 2003, 2009, 2012 - [5]), large fires with extreme fire behavior occurred in Aragón and other regions as Catalonia or Valencia Community in these years and the annual number of HTDs was significantly higher than in the first period. Additionally, the periods were different due to socioeconomic, land abandonment and fire suppression changes. In the second period, land abandonment was widespread and the fuel load and large wildland fire occurrence with extreme fire behavior increased. Moreover, fire agencies invested heavily in suppression resources and improved remarkably their training and fire behavior knowledge.

MWFs were classified into three different fire spread patterns: topography-driven fires, wind-driven fires and convective fires ([23], [12]). Lázaro ([21]) and Lázaro-Palacios et al. ([22]) made a characterization of fire typologies in this region based on synoptic weather condition analysis across the study area. However, we chose to simplify to only three fire typologies following other works ([12]) and fires were classified according to synoptic weather conditions at 500 hPa air pressure level and a relief in particular for each fire ([22]). Additionally, historical mapped fires were checked towards this categorization in accordance to the main spreading factor, identifying weather conditions that explain their behavior. Overall, 174 out 223 (78%) MWFs were classified in the studied period; therefore 49 MWFs were not classified due to a lack of enough data to check the categorization (local weather data, fire perimeter, etc).

High temperature days

We defined all days from 1978 to 2012 from June 1st to September 30th (i.e., summer season) as a High Temperature Day when air temperature at 850 hPa was equal or higher than 20 °C, as this temperature corresponds approximately to the percentile 95th in the summer season for that region ([6]). The use of the 95 % percentile helps capture the different implications of extreme temperatures for human health, natural vegetation, energy systems, and environmental disturbances in different locations ([7]). We selected the temperature at 850 hPa because it is commonly used to examine past fire weather and forecast fire weather ([24], [34], [15]). At this air pressure (850 hPa), we obtained a regional reportage of the temperature which is adequately close to the Earth surface to allow the low troposphere state to be characterized. Additionally, employing measurements at this air pressure we avoided some of the problems that affect near surface reanalysis variables ([28], [34]). Reanalysis data from the National Centers for Environmental Prediction and the National Center for Atmospheric Research (NCEP/ NCAR) were used to characterize the high temperature days ([20]) on a synoptic scale.

Drought code

Drought Code (DC) is a measurement of long-term dryness in fuels. Although it does not reflect the probability of fire occurrence by itself, DC could be useful in predicting large wildland fire occurrence, extreme fire behavior and the consumption of large fuels ([25]). DC integrates by design past weather over a longer period than other components of the Canadian Forest Fire Behavior System that were easily influenced by short term changes in weather conditions ([37]). Even so, the Canadian DC is sensitive to daily precipitation, such that one rainfall can significantly affect the value of the index for many days after precipitation ([14]). This index is used by itself by several regional Forest Service and Fire Suppression agencies in NE Spain ([22]), and we tested if it provides reliable forecast of adverse fire weather conditions in terms of fire typologies in the study area.

In this study, we analyzed DC values for MWFs in the 1978-2012 period occurred in Aragón. DC values were assigned in 163 out of 223 wildland fires (73.1 %) due to lack of detailed weather data.

Statistical analysis

We used non-parametric tests (Kruskal-Wallis and Mann-Whitney) to analyze trends and the influence of HTDs and DC index on fire typologies, fire number, burned area and fire size in the 1978-2012 period, analyzing if some fire typologies were linked to extreme temperature conditions or high values of DC index.


Wind-driven fire typology was the most frequent in the 1978-2012 period with 69 fires, burning 26.746 ha. However, 39 convective fires burned the majority of the total area burned (81.173 ha, 59.8 % of the total area burned). The average fire size was significantly higher in convective fires (2624.9 ha), followed by wind-driven fires (433.2 ha) and topographic fires (186.3 ha). Fire number, burned area and average fire size in the study period in each fire typology in 1978-1993 and 1994-2012 periods under HTDs and non-HTDs are shown in Tab. 1. Additionally, wildland fires in Aragón from 1978 to 2012 characterized by the main spreading factor are shown in Fig. 2.

Tab. 1 - Number of fires, burned area and average fire size in the three fire typologies (convective fires, topography and wind-driven fires) in 1978-1993 and 1994-2012 periods under HTD and non-HTD. Mean values in a column in each wildland fires categories followed by the same letter are not significantly different at 95% significance level.

Fire number Burned area (ha) Average fire size (ha)
Convective fires HTD 13 19 15094 56384 1161 2967
Non-HTD 4 3 3148 6747 787 2249
Total 39 81373 2624.9a ± 285.7
Topography-driven fires HTD 12 13 1559 2360 130 182
Non-HTD 27 13 5150 1549 191 119
Total 65 10618 186.3b ± 210.7
Wind-driven fires HTD 9 16 2444 3696 271 231
Non-HTD 28 16 11460 9146 409 571
Total 69 26746 433.2b ± 202.0
No data HTD 12 0 4305 0 358 -
Non-HTD 32 5 11487 1697 358 340
Total 49 17489 356.9b ± 386.8

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Fig. 2 - Wildland fires in Aragón from 1978 to 2012 characterized by the main spreading factor.

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Changes in the fire number, burned area and fire size were studied in all fire spread typologies in the two analyzed periods (1978-1993 and 1994-2012) under HTDs and non-HTDs (Tab. 1, Fig. 3). The main results are summarized below.

Fig. 3 - Box plot of fire size (ha) in each typology (C: Convective; T: Topographic; W: Wind) in 1978-1993 and 1994-2012 periods under HTD (high temperature days - red) and non-HTD (blue) in Aragón, excluding an outlier (Convective fire, 16.832 ha; HTD, 1994-2012 period).

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Convective fires

Most of fires in this typology occurred under HTDs (82% in 1978-2012 period), burning 71.478 ha (87 % of the total area burned by convective fires). They did not increase significantly in terms of annual fire number, but burned area increased in a significant way in the second period with 56.384 burned ha (more than 3 times - Tab. 1, Fig. 3). Average fire size also increased significantly (p<0.01) in both periods and both weather conditions.

Topography-driven fires

Sixty-five MWFs burned 10.618 ha from 1978 to 2012 (7.8% of the total burned area in the study period). Therefore, annual burned area in this typology was significantly lesser than in convective fires. Most of the burned area in this typology occurred under non-HTDs in the 1978-1993 period, although we found a significant decrease in both fire number and burned area under non-HTDs in the second period. Considering topography-driven fires under HTDs, we did not observe a reduction in both fire number and burned area in the study period (Tab. 1).

Wind-driven fires

The majority of fires and the largest burned area were observed under non-HTDs. Both indicators in this typology seem to decrease under non-HTDs and increase under HTDs between the two studied periods, although these trends were not significant statistically at 95 % significance level.

Drought code

Average DC value for MWFs in the study period was found to be slightly higher for non-HTD (684.41) than for HTD days (661.49); however, this trend was not found to be statistically significant. Fig. 4 shows the scatter diagram of all fires, including fire size and DC. The statistical analysis showed that Drought Code is not a precise indicator, since it does not correlate to fire size in the whole set of fires studied. Considering fire typologies, no significant differences were found in terms of DC, though its value was higher in convective fires (771) than topographic and wind-driven fires (662 and 673 respectively).

Fig. 4 - Drought Code scatter diagram, showing DC values and fire size (ha), excluding an outlier (700; 16.832).

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  Discussion and conclusions 

Typically, low humidity, high temperatures and strong winds near the ground surface are considered the major determinants in fire weather forecasting ([6]), whereas meteorological indexes evaluating specific changes in the meteorological conditions are often unavailable for fire weather forecasting agencies ([10], [9]). Moreover, the selection of an index that is effectively representative over large heterogeneous areas, or simply the choice of the most appropriate index, is frequently very difficult ([38], [13], [3]). The aims of this study were: (i) to determine whether the DC index or the frequency of high temperature days (HTD) could be used as precise indicators of potentially dangerous situations regarding fire risk and fire typologies (specially convective fires), linked to extreme weather conditions; (ii) to discuss the need of an adaptive forest management to prevent the largest and most virulent fires under a climate change scenario in the next decades.

Although wind-driven fire typology was the most frequent (69 fires), convective fires burned the majority of the total burned area (60 % of total burned area approximately) and their average fire size was significantly higher than that of topography and wind-driven fires. Convective fires did not significantly increase in terms of annual fire number in the study period, but the burned area significantly increased in the second period with 56.384 burned ha (3 times larger than in the first period). Moreover, fire size significantly increased in both periods. However, the influence of the worst years in terms of burned area (1994 and 2009) was meaningful in the results. Multiple convective wildland fires burning under HTD conditions simultaneously caused disastrous consequences (50.208 ha in convective fires - 96 % of this total burned area under HTDs). Including 1994 in the first period would change the burned area in both studied periods in 29.991 ha (burned area in 1994). However, excluding 1994 from the analysis, average fire size would be significantly higher in 1995-2012 period (2.071 ha) than in 1978-1993 period (1.073 ha) and the same for burned area (33.139 vs. 18.242 ha). Therefore, it seems that convective fires could be more frequent in last years of the study period. This could be related to two main factors: (i) the increase in the annual number of HTDs; and (ii) the agricultural abandonment. It is key to remark that convective fires were the larger and fire typology most closely related to HTDs. Most of convective fires occurred under HTDs (more than 80% in terms of fire number and burned area). Additionally, the annual number of HTDs increased significantly in the study period in Aragón ([5]). This conspicuous increase could be part of the process detailed by Giannakopoulos et al. ([16]), who determined that in areas like Spain an increase in the occurrence of hot days and heat weaves is expected for the next decades. Paying attention to that change will be especially important, since more frequent HTDs will lead to a significant decrease in air humidity and fuel moisture ([5]), and then to the potential for extreme fire behavior ([6]) and convective fire occurrence. The agricultural abandonment is the other factor to be considered. Fuel loads and continuity increased in last 40 years ([38]), influencing extreme fire behavior and the development of convective fires ([12]). Forest management should be active to protect areas against convective fires as extreme weather conditions are expected to occur more frequently ([16]), and fuel loads and continuity are very high in the present. Therefore, new measures regarding fuels should be considered (prescribed burning or silvicultural treatments) by fuel management plans taking into account critical points, i.e., fuel continuity/load and dominant fire spread patterns ([12]).

Both burned area and fire number were reduced under non-HTDs in all fire typologies in both study periods, but not under HTDs, especially when convective fires were considered. Huge investments in fire suppression technology as well as better knowledge of fire behavior and past events has led to a more efficient and faster suppression fires under non-HTDs. However, fires burning under HTD conditions are generally very intense and extreme, exceeding the fire suppression capacity of the emergency management services in most cases, so neither better technology nor more qualified personnel are effective.

DC correlation with fire size did not show a good fit and the index did not discriminate among any fire spread typology, although convective fires showed higher values of this index. This fact reinforces the initial supposition that Drought Code should no longer be used to identify potentially extreme weather conditions. Due to the complexity of drought processes, no single index has been able to adequately capture the intensity and severity of drought and its potential impacts ([19]). In contrast, the ability to discern between HTD and non-HTD could be very useful to identify days with high fire risk and convective fire occurrence.


We are appreciative to ForBurn project (Spanish Ministry of Economy and Competitiveness AGL2012-40098-C03-01). We thank Miguel Lázaro for providing his work, which is a very complete characterization of fire typologies in the analyzed region.


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Authors’ Affiliation

Adrián Cardil
David Merenciano
Domingo Miguel Molina-Terrén
School of Agrifood and Forestry Science and Engineering, University of Lleida (Spain)

Corresponding author

Adrián Cardil


Cardil A, Merenciano D, Molina-Terrén DM (2016). Wildland fire typologies and extreme temperatures in NE Spain. iForest 10: 9-14. - doi: 10.3832/ifor1939-009

Academic Editor

Davide Ascoli

Paper history

Received: Dec 09, 2015
Accepted: Aug 16, 2016

First online: Nov 01, 2016
Publication Date: Feb 28, 2017
Publication Time: 2.57 months

© SISEF - The Italian Society of Silviculture and Forest Ecology 2016

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