Skip to main content

Fire Regime, Climate, and Vegetation in the Sierras de Córdoba, Argentina


Wildfires are a primary disturbance in the Sierras de Córdoba, Argentina, with approximately 2 152 000 ha burned between 1993 and 2012. However, little is known about the spatial and temporal patterns of fires and their relationship with climate and vegetation in this area. Such information is of great value for fire risk assessment and the development of strategies for fire management. Our main objective was to analyze fire activity in four sierran ranges, assessing which weather and climate conditions were mostly related to fire activity, and which land cover types were mostly burned. We used a fire database of mid-high spatial resolution and a land cover map derived from Landsat imagery. Fire regimes were different among the different sierran ranges. The Sierras Chicas range was the most affected by fires, with the largest number of fire events, burned area, and fire frequency. Although large fires represented 3 % to 5 % of fire events, they accounted for 60 % to 86 % of total burned area in different sierran ranges. Sierras of lower elevation had a winter seasonality of fires, while sierras of higher elevation had a winter-spring or spring fire seasonality. The number of fire events was positively correlated with preceding periods that were wetter than normal, while the burned area was mainly associated with midterm weather conditions. Fires occurred mainly in grasslands and shrublands, but the area of burned forests was important, too. Our results will be useful to determine the times and conditions in which fire risk is highest, and also to identify where preventive efforts should be focused.


Los incendios constituyen uno de los principales disturbios en las Sierras de Córdoba, Argentina, acumulando aproximadamente 2 152 000 ha quemadas entre 1993 y 2012. Sin embargo, poco se conoce acerca de los patrones espaciales y temporales del fuego y su relación con el clima y la vegetación del lugar. Esta información es de gran valor para la evaluación del riesgo de incendios y para la implementación de estrategias de manejo del fuego. Nuestro objetivo fue analizar los incendios en cuatro sistemas serranos, evaluando las condiciones meteorológicas y climáticas que favorecen la ocurrencia de incendios y los tipos de vegetación que más se queman. Utilizamos una base de datos de incendios de resolución espacial media-alta y un mapa de cubiertas de suelo obtenido a partir de imágenes Landsat. Los regímenes de fuego fueron diferentes en los distintos sistemas serranos. Las Sierras Chicas fueron las más afectadas por el fuego, presentando el mayor número de eventos, área quemada y frecuencia de incendios. Los grandes incendios representaron entre 3 % y 5 % de los incendios, sin embargo, quemaron entre 60 % y 86 % del área quemada total en los diferentes sistemas serranos. Las sierras de menor altitud presentaron una estacionalidad de incendios invernal, mientras que las sierras de mayor altitud presentaron una estacionalidad inverno-primaveral o primaveral. El número de incendios se correlacionó positivamente con periodos precedentes de mayor humedad, mientras que el área quemada se correlacionó con las condiciones meteorológicas ocurrentes en el mediano plazo. Los incendios ocurrieron principalmente en áreas de pastizal y arbustal, aunque la superficie de bosques quemados fue importante también. Nuestros resultados serán de utilidad para determinar los momentos y condiciones de mayor riesgo de incendios y también para identificar las áreas donde se deben concentrar los esfuerzos preventivos.


Wildfires are a primary disturbance in many ecosystems around the world (Bond et al. 2005). Fires play a key role in landscapes by causing strong impacts on species composition, vegetation structure, and biogeochemical and hydrological cycles (Whelan 1995, Pyne 1997, Morgan et al. 2001). The effects of fires on ecosystems depend on the fire regime, which is defined by the frequency, severity, intensity, area, seasonality, and spatial pattern of fire occurrence (Whelan 1995). However, human-driven changes in historic fire regimes can alter the frequency, intensity, severity, and distribution of fires (Archibald et al. 2012, Hantson et al. 2015), resulting in large and sometimes negative impacts on ecosystem functioning. Examples include increased fire in tropical and subtropical forests resulting in conversion to savanna (Cochrane et al. 1999, Zak et al. 2004), and fire suppression preventing recruitment of fire-dependent species and altering vegetation structure (Agee 1993).

Although at present fire regimes are significantly affected by human activity worldwide, climate also exerts a strong control on fire activity by regulating fuel production and desiccation (Whelan 1995). The relationship between water balance and fire is nonlinear (Bradstock 2010). In wetter ecosystems, fire controls are imposed by the length of the fire season, while in drier ecosystems, fuel availability is generally the limiting factor (van der Werf et al. 2008) and fires tend to burn heavily a few years after above-average precipitation (Veblen et al. 1999, Grau and Veblen 2000, Bravo et al. 2010).

Fire activity is also different among land cover types. Savannas and grasslands can support intensive fires more frequently than forests can, sometimes every 1 to 3 years (Bravo et al. 2010, Dubinin et al. 2010), due to their capacity of biomass production and the fineness and seasonal curing of fuels. On the contrary, forests are less prone to fires due to the smaller proportion of fine fuel (Kunst and Bravo 2003). Nevertheless, in areas of savannas and fragmented forests, fires usually start in grasslands and then penetrate into forests (Bravo et al. 2001).

In Latin America, Argentina has the second largest area affected by fires (Chuvieco et al. 2008) and the central mountainous region is of particular concern due to area burned, fire frequency, and the size and distribution of the human population. For instance, nearly 2 152 000 ha were burned in Córdoba province between 1993 and 2012, with almost 95 % of ignitions caused by humans (Provincial Directorate of the Fire Management Plan of Córdoba Province, Córdoba, Argentina; unpublished data). These fires have driven key structural changes in landscapes, degrading and reducing native woodlands (Renison et al. 2002, Giorgis et al. 2013), increasing soil vulnerability to erosive agents (Cingolani et al. 2013), and affecting the quality of water reservoirs (Bonansea and Fernandez 2013). Besides, fires produce important economic losses due to burned structures, livestock killed, consumption of forage resources for cattle, timber burned, and fire-fighting efforts. For instance, a large 18 000 ha fire produced economic losses of around 3 200 000 US dollars in only seven days (Atala et al. 2006). Additionally, recent attention has been directed to novel urban developments that occur predominantly in forested valleys (Gavier and Bucher 2004). These developments expand the wildland-urban interface, where risks to human lives and goods are higher due to the proximity of houses and fuels (Radeloff et al. 2005).

Considering fire effects on ecosystems and the associated risks and economic losses, knowledge of fire regimes is essential for the management and conservation of natural resources, primary production, landscape planning, and risk assessment (Di Bella et al. 2006). Moreover, exploring the variability of fire regime characteristics over time and space is crucial to understanding the interaction between landscape patterns, climate, and fire (Morgan et al. 2001), especially in a context of climate change and intense human intervention in fire regimes (Rollins et al. 2002, Dubinin et al. 2010). Notwithstanding this, very few studies have focused on the analysis of different aspects of the fire regime in central Argentina. So far, Fischer et al. (2012) studied the regional behavior and patterns of fire, using MODIS hotspots between 2004 and 2007, and related them to vegetation characteristics, land use, and climate. Miglietta (1994), on the other hand, addressed similar questions at a local scale, using non-spatial records of fires from a fire station. Therefore, our main goal was to analyze fire occurrence in central Argentina by addressing the following questions: 1) When and where is fire activity higher? 2) What are the weather and climate conditions that favor fire activity? and, 3) Which are the land cover types mostly affected by fires?


Study Area

The study area (24 260 km2) included four sierras belonging to the Sierras Pampeanas of Argentina located in Córdoba province: Sierras del Norte, Sierras Chicas, Sierras Grandes, and Cumbres de Gaspar. These sierras extend from 29° 00′ S to 33° 30′ S, encompassing a north-south length of ≈430 km, and an elevation range from 500 m to 2790 m (Vázquez et al. 1979) (Figure 1).

Figure 1
figure 1

The study area was the Sierras de Córdoba, central Argentina.

The vegetation of the area has been classified as Chaco Serrano (Cabrera 1976) and is divided into different altitudinal belts (Luti et al. 1979, but see Giorgis et al. 2011). However, more recent studies indicated that above 1850 m, vegetation should no longer be considered as Chacoan since most of their floristic elements belong to the Andean ecoregion (Cabido et al. 1998). The lowland forest, dominated by Aspidosperma quebracho-blanco Schletchet., Prosopis spp. L., and Acacia spp. Mill., is found below 750 m. The range between 500 m and 1300 m is mostly covered by Chaco Serrano forests, dominated by Lithraea molleoides Vell. and Zanthoxylum coco Gillies ex Hook. f. & Arn. Between 1300 m and 1700 m, there is the romerillal, a type of shrubland defined by the presence of Heterothalamus alienus Spreng. (Luti et al. 1979). Between 1500 m and 1850 m, the area is mostly occupied by grasslands dominated by Festuca hieronymi Hack., Stipa spp. L, and Piptochaetium spp. J. Presl. Vegetation above 1850 m includes communities of grasslands dominated by Deyeuxia hieronymi Hack., Poa stuckertii Hack., Alchemilla pinnata Ruiz & Pav., and Festuca circinata Griseb.; shrublands dominated by Berberis hieronymi C.K. Schneid.; and woodlands dominated by Polylepis australis Bitter (Cabido et al. 1998).

The elevation range, climate, and vegetation are different in the four sierran ranges. In Sierras Chicas (550 m to 1800 m), the mean annual temperature is 16.8 °CFootnote 1 and the mean annual precipitation is 960 mm, with most rainfall occurring between October and March (spring and summer). Winter is dry and mild with relatively high temperatures occurring in August and September. This leads to a winter seasonality of fires (Miglietta 1994). Wild vegetation consists mainly of grasslands, Chaco Serrano forests, and shrublands (Zak 2008). In Sierras del Norte (500 m to 1100 m), the mean annual temperature is ≈19 °C, the mean annual precipitation is ≈625 mm, and wild vegetation consists mainly of shrublands and Chaco Serrano forests (Zak et al. 2004). In Sierras Grandes, the mean annual temperature is 12.4 °C (Colladon 2004) and the mean annual precipitation is 806 mm, mostly concentrated between October and April (Colladon and Pazos 2014). Land cover consists of grasslands, relicts of Polylepis australis woodlands and shrublands, and rocky areas (Cingolani et al. 2004). These climatic characteristics are similar to Cumbres de Gaspar (900 m to 1900 m) due to its proximity and altitude (Figure 1). Natural vegetation consists mainly of grasslands and shrublands (Zak 2008). According to the Provincial Fire Management Plan, the season of fires in the whole province begins in June and extends up to December.

Fire Database

Burned scars were mapped over 82 Landsat TM and ETM+ images (30 m of spatial resolution, Path/Rows: 229/81 and 229/82) acquired between 1999 and 2011 (J. Argañaraz, CONICET, Argentina, unpublished data). This fire database was derived automatically using ABAMS (Automatic Burned Area Mapping Software), a tool based on the algorithm proposed by Bastarrika et al. (2011). We considered any continuous burned patch as a single fire event except when the intensity of the burned signal was markedly different. The minimum mapping unit of the fire database is of 5 ha, because smaller areas had higher confusion rates. Producer’s accuracy ranged from 88 % to 97 % (i.e., 3 % to 12 % omission error), and user’s accuracy from 71 % to 96 % (i.e., 4 % to 29 % omission error) (J. Argañaraz, unpublished data). We converted vector layers of burned areas to raster format as binary layers (burned or unburned) and developed the fire frequency map for the period 1999 to 2011 by adding those layers.

Fire Regime Analysis

Fire activity per sierran range. We calculated the number of fire events and total burned area for each sierran range. When fires were shared by more than one sierra, we assigned them to the sierra in which the area burned was larger. We compared the number of fire events and area burned per year, the total burned area, the effective burned area (i.e., some areas burned more than once during the 13-year time frame of our study), the frequency of fire, the distribution of fire sizes, and the number of large fires (>1000 ha) among the four sierran ranges.

Seasonality of fires and weather conditions. We identified the month in which each fire event occurred by overlapping the Landsat-derived burned layers, MODIS hotspots, and Landsat images of each year. We assigned the month of the MODIS hotspots to a vector of burned areas when they overlapped (also checking with Landsat images) or when they were in a radius smaller than 500 m (half of the size of a MODIS pixel used to derive this product). When fires ignited in one month and extinguished in the next one, we assigned them to the month that the ignition took place. If the month of occurrence could not be determined, the visualization of the burned scar over Landsat imagery was used to identify (when possible) the season of occurrence, between winter (June to September) and spring (October to December).

In order to relate climate and weather conditions to fire occurrence, we used the Spearman correlation coefficient to compare the burned area and number of fire events (annually and monthly when possible) with precipitation and water balance variables. Annual comparisons included 1) de Martonne’s Aridity Index (MAI) as an indicator of water balance, calculated as

$${P \over {(T + 10)}}\quad ,$$

where P is total annual precipitation and T is mean annual temperature (de Martonne 1926); 2) accumulated precipitation in the current and previous year (January to December); 3) accumulated precipitation in the previous and second previous hydrological year (July to June); 4) precipitation anomalies (%), calculated as

$${{({P_i} - {P_{c\lim}})} \over {{P_{c\lim}}}} \times 100\quad ,$$

where Pi is total precipitation in the year i and Pclim is the average precipitation in a year calculated over a certain period of time (climatic variable); and 5) the length of the dry season in months, calculated as 12 minus the number of months in which accumulated precipitation represents 70 % of the total annual precipitation (Archibald et al. 2009). Monthly analyses included comparison with MAI, calculated as

$${{12P} \over {(T + 10)}}\;;$$

accumulated precipitation; and precipitation anomalies of the current month as well as the averages up to six months previously.

Meteorological data for the higher sierras (Sierras Grandes and Cumbres de Gaspar) was obtained from INA-CIRSA (National Water Institute of Argentina, Centre for the Semiarid Region), and data for the lower sierras (Sierras Chicas and Sierras del Norte) was obtained from the Observatorio Salsipuedes (Salsipuedes Weather Observatory, 31° 3′ S, 64° 18′ W). No meteorological records were available for Sierras del Norte; however, we assumed that their meteorological conditions were similar to those tendencies of Sierras Chicas due to their relatively similar geographic position and altitude (Figure 1). We used linear regression to estimate the monthly temperature of 2011 for higher sierras using Salsipuedes Observatory temperature data. Such estimation of missing data was possible because the regression’s coefficient of determination was higher than 0.85 (Colladon 2004).

Fire occurrence and vegetation. We analyzed fire occurrence and fire frequency in relation to land cover type. Land cover classes included forests, shrublands, grasslands, cultural lands (mainly cultivated areas), and other land cover classes (including cultivated forests, outcrops, halophytic shrubs). The land cover map was derived from Landsat imagery (30 m spatial resolution) (Zak 2008). We also compared the area, perimeter, and shape (perimeter to area relationship) of the fires occurring in different land cover classes. To this purpose, we calculated the proportion of land cover types burned in each fire event and then we assigned fires to a single land cover class if the proportion was ≥80 %. We did not include the fire events occurring in mixed land cover types for further analysis. We used the Kruskal Wallis test to compare the characteristics of fires occurring in different land cover types. Analyses were performed with Software R 3.0.2 (R Development Core Team 2013). For multiclass comparison, we used the package “pgirmess” (Giraudoux 2013).

Management and operations with spatial data were performed with Quantum GIS 1.8.0-Lisboa (QGIS Development Team 2012).


Total Burned Area and Fire Frequency

Fire activity differed among the studied sierran ranges, with Sierras Chicas accounting for most burned area and fire events (Figure 2, Table 1). The number of fire events was higher between 1999 and 2003 and then decreased after 2004 in all sierras with certain variability (Figure 2). The distribution of burned area over the 13 years analyzed was different between the sierran ranges. Sierras Chicas was burned heavily every 5 to 6 years during the time span of this study (Figure 2a). The pattern for Sierras Grandes showed peaks of burned areas more regularly distributed in time, with intervals of 1 to 4 years (Figure 2b). Sierras del Norte showed a pattern of fire occurrence every 3 to 4 years up to 2006, although there was no other burned area peak afterwards (Figure 2c). Cumbres de Gaspar did not show a clear pattern of fire occurrence during the time span of this study. It showed maximum peaks in 2002 and 2003 and a moderate peak after 8 years in 2011 (Figure 2d). These observations about annual or multi-annual “cycles” of fire occurrence should be considered as preliminary, since longer time series are needed to analyze such pattern more consistently.

Figure 2
figure 2

Burned area, number of fires, and precipitation for the period 1999 to 2011 in the Sierras de Córdoba, Argentina.

Table 1 Total and effective burned area in the Sierras de Córdoba, Argentina. Effective burned area is the remainder when reburned area is subtracted from total burned area.

Cumbres de Gaspar and Sierras Chicas were the most affected by fires with 31 % and 25 % of their area effectively subjected to fire, respectively (i.e., some areas burned more than once during the 13-year time frame of this study) (Table 1). Comparisons between the total burned area and the effective burned area indicates high burning frequencies in Sierras Chicas, Cumbres de Gaspar, and Sierras Grandes, with almost no frequency higher than one in Sierras del Norte (Table 1).

The frequency distribution of fire sizes showed that most fires were smaller than 100 ha in all sierras, but also, all of them underwent large fire events (>1000 ha) several times between 1999 and 2011 (Figure 3). Even though large fires only represented a small proportion of fire events, ≈3.4 % in Sierras Chicas, Sierras Grandes, and Sierras del Norte, and 4.8 % in Cumbres de Gaspar, they accounted for 77 %, 60 %, 70 %, and 86 % of the total burned area, respectively. Very large fires (≥10 000 ha) occurred once in Sierras Grandes (2009: 11 558 ha), three times in both Sierras del Norte (1999: 12 628 ha, 2002: 13 505 ha, and 2006: 28 025 ha) and Cumbres de Gaspar (2002: 31 215 ha, 2003: 18 952 ha, and 2011: 12 308 ha), and five times in Sierras Chicas (2003: 21 602 ha, 2006: 16 038 ha, 2008: 44 104 ha, 2009: 20 328 ha, and 2011: 17 867 ha) during the time span of this study.

Figure 3
figure 3

Distribution of burned area sizes for the period 1999 to 2011 in the Sierras de Córdoba, Argentina.

Seasonality of Fires

From the total number of fires in all sierran ranges, only 34 % (683 out of 2017) could be assigned to the month in which they occurred: 34.6 % in Sierras Chicas (316 out of 917), 25.0 % in Sierras Grandes (136 out of 543), 47.3 % in Sierras del Norte (203 out of 433), and 22.6 % in Cumbres de Gaspar (28 out of 124). Fire seasonality differed among sierras. For instance, most fire events and area burned in Sierras Chicas occurred in mid- to late winter (August to September) although fire season seems to start in June and last until November (occasionally until December) (Figure 4a). In Sierras del Norte, the peak of fire occurrence and area burned was observed in late winter (Figure 4c), while in Sierras Grandes, fires were more frequent between August and October and most burned area occurred between August and November (Figure 4b). Conversely, in Cumbres de Gaspar, the largest values of burned area were observed in spring (October and November), although the number of fire events was similar between August and November (Figure 4d). Most large fires occurred in August and September in all sierras except in Cumbres de Gaspar where they were more uniformly distributed over a longer period, between August and November. The same seasonality was observed for each sierran range when considering all fires that could be assigned to winter or spring (1470 fire events accounting for more than 500 000 ha).

Figure 4
figure 4

Burned area and number of fires per month for the period 1999 to 2011 (sum of events and area) in the Sierras de Córdoba, Argentina. Monthly precipitation data in Sierras Chicas and Sierras del Norte from Observatorio Salsipuedes (average for the period 1988 to 2012), and in Sierras Grandes and Cumbres de Gaspar from INA-CIRSA (average for the period 1998 to 2011).

Fires and Climate

Total annual precipitation during the studied period was evenly distributed into years of higher, lower, and average precipitation in the higher sierras (Sierras Grandes and Cumbres de Gaspar), while precipitation tended to be lower than average in Sierras Chicas (Figure 2). The number of fire events was positively related to anomalies in precipitation and to MAI average of the previous two years in lower sierras (r = 0.61, P = 0.03, and r = 0.58, P = 0.04, respectively; Figure 5a). Similar relationships were found for the two-year average precipitation anomalies in the higher sierras (r = 0.59, P = 0.03), and the number of fire events was also positively correlated with the precipitation of the previous and second previous hydrological year (r = 0.63, P = 0.02, and r = 0.64, P = 0.02, respectively; Figure 5b). The area burned annually was not significantly related to any of the climatic variables included in our analysis. Nevertheless, larger burned areas in Sierras Grandes seemed to occur after years with higher precipitation (Figure 2).

Figure 5
figure 5

Relationship between the annual number of fires and climatic variables in (a) lower sierras and (b) higher sierras, and relationship between the monthly burned area and the averages of (c) precipitation and (d) water balance of the previous five months.

Monthly burned area did not correlate significantly with current precipitation, precipitation anomaly, or MAI, in both higher and lower sierras. Instead, monthly burned area was negatively correlated with precipitation and MAI averages of the previous five months in both cases (r ≈ −0.46, P ≤ 0.001, and r ≈ −0.45, P < 0.003, respectively; Figure 5c and d). Averages of larger and shorter periods were also significantly correlated, but the associations were weaker. Additionally, in higher sierras, monthly burned area was negatively correlated with precipitation anomalies of the current and two previous months (r ≈ −0.56, P ≤ 0.001). Despite these results, we observed that the largest burned areas (in 2002, 2003, 2006, 2008, 2009, and 2011) occurred mostly when monthly MAI was lower than climatic averages (i.e., lower water balance than expected) (Figure 6), during negative rainfall anomalies and prior to the beginning of the precipitation season in all sierras.

Figure 6
figure 6

Monthly and climatic de Martonne’s Aridity Index (MAI) (Climatic MAI is calculated using monthly precipitation and mean temperature averages for the period 1988 to 2012) and burned area for the period 1999 to 2011 in Sierras Chicas and Sierras del Norte, Córdoba, Argentina. A monthly MAI lower or higher than climatic MAI indicates periods drier or wetter than expected, respectively.

Fires and Land Cover

Considering the whole study area, fires burned mainly grasslands (170 000 ha; i.e., 24 % of grasslands area), shrublands (135 000 ha; i.e., 25 % of shrublands area), woodlands (81 000 ha; i.e., 18 % of woodlands area), and cultural lands (51 000 ha; i.e., 10 % of cultural lands area). There were differences among the four sierras regarding fire occurrence according to land cover type. In Sierras Chicas, fires occurred mainly in grasslands, while the burned area of shrublands and woodlands was similar. Comparatively, the burned area of grasslands represented 42 % of the total grassland area, while for shrublands and woodlands the burned area represented ≈26 % of their total area (Table 2). In Sierras Grandes, fires burned almost exclusively in grasslands (the dominant land cover of this range) followed by woodlands. On the other hand, in Sierras del Norte and Cumbres de Gaspar, fires occurred mainly in shrublands, followed by cultural lands and woodlands in the former range, and by grasslands in the latter (Table 2). Comparatively, nearly 20 % of the shrublands and grasslands and almost 11 % of the woodlands and cultural lands were burned in Sierras del Norte. In Cumbres de Gaspar, on the other hand, 44 % of the shrublands and 25 % of the woodlands and grasslands were burned (Table 2). Most of the burned area of all these land cover types had burned only once in the period analyzed; however, grasslands areas that reburned once or twice had burned areas two to three times higher than other land cover types (Figure 7).

Figure 7
figure 7

Burned area per fire frequency and land cover type for the period 1999 to 2011 in the Sierras de Córdoba, Argentina.

Table 2 Burned area and ratio between the percentage of land cover burnt and the percentage represented by each land cover class in the sierran ranges of Córdoba, Argentina.

Fire events burning different land cover types showed differences in their size, perimeter, and perimeter to area relationship. Grassland fires were significantly larger than both forest and cultural fires, but they were no different from shrubland fires (Table 3). Instead, fire perimeter in grasslands was significantly larger than fire perimeter in the other land cover types, which presented no significant differences. Additionally, the perimeter to area relationship was significantly larger in grasslands than in forests and cultural lands, indicating a higher proportion of edge in grassland fires. No significant differences were detected among the other land cover classes (Table 3).

Table 3 Size, perimeter, and shape of fires burning different land cover types. Different letters indicate significant differences (P = 0.05).


Our results showed that fire is a common and important disturbance agent in the Sierras de Córdoba, with large fires affecting the four studied sierran ranges. Higher fire activity was associated with short- and mid-term weather conditions of higher water availability, suggesting a strong climatic control over fire regime. Nevertheless, fire activity differs among the four sierran ranges, especially in fire seasonality and frequency. This is the first research using spatially explicit fire data at mid-high resolution (30 m) to study the fire regimes in the Sierras de Córdoba (Argentina) including semiarid Chaco forests. Our results provide accurate information about the spatial distribution of fires, fire perimeters, and burned area of the recent fire history of Córdoba sierras.

Sierras Chicas was the range most affected by fires, exhibiting the highest number of fire events, burned area, and fire frequency. This is probably related to the co-occurrence of higher precipitation (i.e., higher fuel loads) and higher human population and tourism in wild areas, which provides more ignition sources. Also, the wildland-urban interface (WUI) communities are growing in Sierras Chicas, where fire activity is expected to be greater because human ignitions would find enough fuels to spread (Radeloff et al. 2005). The reduction in the number of fire events after 2003 in all sierras might be related to the fire prevention policies that started in 1999 with the creation of the Fire Management Plan of Córdoba province. Nevertheless, large fires occurred anyway in all sierras, but they are generally related to extreme weather conditions (Whelan 1995) commonly occurring in our study area.

After the first frosts in May (austral cold season), the curing process (leaf dying) of fine fuels begins, reaching nearly 60 % of fuels cured by July in grasslands of Sierras Chicas (J. Argañaraz, unpublished data). Fire occurrence is highest in mid- to late winter (August and September), the result of the combination of high maximum temperatures (e.g., 41.3 °C in September 2013), low precipitation (sometimes none), and wind speeds that can reach 70 km hr−1 (Fuente: Datos meteorológicos INTA Manfredi, Sierras del Norte also showed a winter seasonality of fires. However, the lower proportion of burned area might be related to a limited fuel accumulation because of lower precipitation and higher temperature than in Sierras Chicas. The lower amount of burned areas after October is associated with the beginning of the rainfall season.

In Sierras Grandes, the burned area is evenly distributed between winter and spring, but the number of fires is higher in winter, suggesting that lower temperatures might not be favoring fire spread. The spring seasonality of fires in Cumbres de Gaspar and the larger proportion of burned area than Sierras Grandes might be favored by warmer temperatures, according to data from WorldClim (Hijmans et al. 2005). Previous studies using MODIS data have also indicated higher fire activity between August and October in the Sierras de Córdoba (Fischer et al. 2012). This is probably related to the ranching use of fire to burn senescent biomass and promote forage re-growth during the dry season (Renison et al. 2006, Fischer et al. 2012), a common (but illegal) practice in many ecosystems (Silva et al. 2001, Kepe 2005, Pivello 2011).

Higher fire activity was observed in other dry ecosystems after 1 or 2 years with precipitation and water balance above normal (e.g., Chaco savannas [Bravo et al. 2010], African savannas [Balfour and Howison 2002, Van Wilgen et al. 2004, Archibald et al. 2009], northwestern mountains of Argentina (Grau and Veblen 2000), and temperate forests and grasslands of Argentinean Patagonia [Kitzberger et al. 1997, Veblen et al. 1999]). These pulses of water availability stimulate primary production and consequently increase the fuel availability, which is usually the limiting factor for fire activity in drier ecosystems (Bradstock 2010, Krawchuck and Moritz 2011).

The lack of association between the area burned annually and the precipitation and water balance of the same year suggests that fire prone conditions may occur under a normal weather year (Veblen et al. 1999, Grau and Veblen 2000). However, it is possible that the intensive grazing of domestic livestock in the Sierras de Córdoba (Cingolani et al. 2013) is also weakening this relationship by reducing fuel loads (Grau and Veblen 2000). On the other hand, the positive association between monthly burned area and the occurrence of dry conditions during the previous months has also been reported for the central region of Argentina (Fischer et al. 2012).

Previous research in Sierras Chicas also found that the number of fires was independent of annual precipitation, but it was positively correlated with rainfall of the previous November-to-June period (approximately the growing season) (Miglietta 1994). This difference from our results is likely related to the differences in the fire databases used in both studies; Miglietta (1994) used the records of two fire stations that covered a small portion (80 000 ha) of our study area.

In general, grasslands and shrublands are more prone to burn since grasslands are dominated by fine fuels and shrublands usually have high coverage of herbaceous vegetation. Besides, the horizontal and vertical continuity of fuels in shrublands favors fire spread. The high proportion of the burned area accounted for by grasslands and shrublands in the higher sierras (75 % in Sierras Grandes and 88 % in Cumbres de Gaspar) might explain the higher number of fires after wetter periods in these sierras, due to the capacity of grasses and forbs to increase their biomass rapidly in response to higher water availability. Frequent fires on grasslands are related to the ranching practice of burning senescent biomass to promote forage regrowth and also to the biomass accumulation capacity of herbaceous stands, which might allow intensive fires every 1 to 3 years (Dubinin et al. 2010). A mean fire interval of 3.3 years was reported for Chaco savannas (Bravo et al. 2010), which is compatible with our results considering the 13-year time frame. Also, the coverage of herbaceous vegetation can increase after fires, suggesting a mechanism of positive feedback (Russell-Smith et al. 2002).

Forests, on the other hand, are less prone to fires due to lower fine fuel load (Kunst and Bravo 2003, Giorgis et al. 2013) and microclimate (Chen et al. 1999). Nevertheless, even though forests are less involved in fire propagation (Miglietta 1994), fires might start in grasslands and savannas and then spread into shrublands and forests in dry Chaco (Bravo et al. 2001). Then, burned forests in Chaco are mainly colonized by herbs, which are more flammable (Tálamo and Caziani 2003, Jaureguiberry et al. 2011).

Although forests are less prone to fire, at present only a small proportion of native forests remain in our study area and other Chaco landscapes. In Sierras Grandes, fires are used to promote grass regrowth and to reduce woodland cover, affecting the distribution of Polylepis australis woodlands (Renison et al. 2006). In Sierras del Norte, fires facilitate the extraction of burned trees for charcoal and wood for fuel, and mountain woodlands are replaced by shrubs (Zak et al. 2004). Even though there is no information about land use in Cumbres de Gaspar, it is possible that fires are used for similar purposes given the dominance of grasslands and shrublands. In Sierras Chicas, fire is the main factor structuring vegetation in the transition zone between forests and grasslands (Giorgis et al. 2013). Moreover, fire activity in this area is related to higher population densities and the burning of waste disposals to reduce trash volumes and pests (Nirich 2000, Arganaraz et al. 2015).

Agricultural lands are also less prone to burn because they are more controlled and their temporal dynamics might interrupt fuel continuity over time and space and thus fire spread. Similarly, at the global scale, there is low presence of forests and high proportion of grasslands in areas with high fire density (Chuvieco et al. 2008), and burned area tends to be lower with increasing proportion of cultivated lands in central Argentina (Fischer et al. 2012).

Management Implications

The differences in fire regimes among the four sierras indicate the need of differential management approaches for each of them. In Sierras Chicas and Sierras del Norte, preventive efforts should be concentrated in mid- to late winter, while in Sierras Grandes and Cumbres de Gaspar they should continue through spring. Moreover, one or two years after a wetter period, a higher number of fire events should be expected, although the amount of burned area will be associated with the short- and mid-term weather conditions prevailing each year. Additionally, grasslands and shrub-lands should be monitored more intensively because they burn the most and also because these fires might later spread into forests (Bravo et al. 2001). Nevertheless, grasslands are of greater concern because fires tend to be larger and they can burn more frequently than the other land cover types.

Previous research in our study area has found that woody native species have a high survival rate after fire, and post-fire recovery is mainly driven by tree resprouting (Renison et al. 2002, Gurvich et al. 2005, Torres et al. 2014). For that reason, restoration should be based mainly in protecting resprouts from other post-fire disturbances (Torres et al. 2014), including subsequent fires (Miglietta 1994, Renison et al. 2002), urbanization (Gavier and Bucher 2004, Torres et al. 2014), livestock grazing (Renison et al. 2006, Cingolani et al. 2013), and biological invasions (Gavier and Bucher 2004, Giorgis et al. 2011).

Many countries have implemented fire extinction policies for long periods, but in many cases, this led to larger fuel accumulation and catastrophic fires once they did occur (Pausas and Keeley 2009). Novel policies are focused on the management of fuels in strategic locations (Keeley et al. 1999). Fuel loads can be reduced by different means (Davison 1996). Experiments with prescribed fires have been carried out in grassland areas of the Chaco forests (Kunst and Bravo 2003), but little is known about fire behavior in semiarid Chaco mountains, where topography might play a key role. Controlled livestock grazing could be a reasonable choice (Davison 1996). However, stocking rates in our study area must be determined with extreme care to prevent erosion processes, with moderate to low densities in some areas and livestock exclusion in others (Cingolani et al. 2013).


  1. 1 Mario Navarro, Observatorio Meteorológico Salsipuedes, Salsipuedes, Córdoba. Precipitation data from the period 1988 to 2012 and temperature data from the period 2002 to 2011.

Literature Cited

  • Agee, J.K. 1993. Fire ecology of Pacific Northwest forests. Island Press, Washington, D.C., USA.

    Google Scholar 

  • Archibald, S., D.P. Roy, B.W. van Wilgen, and R.J. Scholes. 2009. What limits fire? An examination of drivers of burnt area in southern Africa.Global Change Biology 15: 613–630. doi: 10.1111/j.1365-2486.2008.01754.x

    Article  Google Scholar 

  • Archibald, S., A.C. Staver, and S.A. Levin. 2012. Evolution of human-driven fire regimes in Africa.Proceedings of the National Academy of Sciences 109: 847–852. doi: 10.1073/pnas.1118648109

    Article  Google Scholar 

  • Arganaraz, J.P., G. Gavier Pizarro, M. Zak, M.A. Landi, L.M. Bellis. 2015. Human and biophysical drivers of fires in semiarid Chaco mountains of central Argentina.Science of the Total Environment 520: 1–12. doi: 10.1016/j.scitotenv.2015.02.081

    Article  PubMed  CAS  Google Scholar 

  • Atala, D., C. Schneider, F. Baudo, F. Fernández, S. Rufini, R. Juncos, and E. Ruiz de los Llanos. 2006. Informe preliminar de valoración del impacto del incendio en Sierras Chicas de Septiembre de 2006. Agencia Córdoba Ambiente Sociedad del Estado, Córdoba, Argentina. [In Spanish.]

    Google Scholar 

  • Balfour, D.A., and O.E. Howison. 2002. Spatial and temporal variation in a mesic savanna fire regime: responses to variation in annual rainfall.African Journal of Range and Forage Science 19: 45–53. doi: 10.2989/10220110209485773

    Article  Google Scholar 

  • Bastarrika, A., E. Chuvieco, and M.P. Martín. 2011. Mapping burned areas from Landsat TM/ETM+ data with a two-phase algorithm: balancing omission and commission errors.Remote Sensing of Environment 115: 1003–1012. doi: 10.1016/j.rse.2010.12.005

    Article  Google Scholar 

  • Bond, W.J., F.I. Woodward, and G.F. Midgley. 2005. The global distribution of ecosystems in a world without fire.New Phytologist 165: 525–538. doi: 10.1111/j.1469-8137.2004.01252.x

    Article  PubMed  CAS  Google Scholar 

  • Bonansea, M., and R.L. Fernandez. 2013. Remote sensing of suspended solids concentration in a reservoir with frequent wildland fires on its watershed.Water Science & Technology 67: 217–223. doi: 10.2166/wst.2012.560

    Article  CAS  Google Scholar 

  • Bradstock, R.A. 2010. A biogeographic model of fire regimes in Australia: current and future implications.Global Ecology and Biogeography 19: 145–158. doi: 10.1111/j.1466-8238.2009.00512.x

    Article  Google Scholar 

  • Bravo, S., C. Kunst, A. Gimenez, and G. Moglia. 2001. Fire regime of a Elionorus muticus Spreng. savanna, western Chaco region, Argentina. International Journal of Wildland Fire 10: 65–72. doi: 10.1071/WF01014

    Article  Google Scholar 

  • Bravo, S., C. Kunst, R. Grau, and E. Aráoz. 2010. Fire-rainfall relationships in Argentine Chaco savannas.Journal of Arid Environments 74: 1319–1323. doi: 10.1016/j.jaridenv.2010.04.010

    Article  Google Scholar 

  • Cabido, M., G. Funes, E. Pucheta, F. Vendramini, and S. Díaz. 1998. A chorological analysis of the mountains from central Argentina.Is all what we call Sierra Chaco really Chaco? Contribution to the study of the flora and vegetation of the Chaco: XII. Candollea 53: 321–331.

    Google Scholar 

  • Cabrera, A.L. 1976. Regiones fitogeográficas Argentinas. Enciclopedia Argentina de agricultura y jardinería. Tomo II. Acme, Buenos Aires, Argentina. [In Spanish.]

    Google Scholar 

  • Chen, J., S.C. Saunders, T.R. Crow, R.J. Naiman, K.D. Brosofske, G.D. Mroz, B.L. Brookshire, and J.F. Franklin. 1999. Microclimate in forest ecosystem and landscape ecology: variations in local climate can be used to monitor and compare the effects of different management regimes.BioScience 49: 288–297. doi: 10.2307/1313612

    Article  Google Scholar 

  • Chuvieco, E., L. Giglio, and C. Justice. 2008. Global characterization of fire activity: toward defining fire regimes from Earth observation data.Global Change Biology 14: 1488–1502. doi: 10.1111/j.1365-2486.2008.01585.x

    Article  Google Scholar 

  • Chuvieco E., S. Opazo, W. Sione, H.D. del Valle, J. Anaya, C. Di Bella, I. Cruz, L. Manzo, L. López, G. López, N. Mari, F. González-Alonso, F. Morelli, A. Setzer, I. Csiszar, J.A. Kanpandegi, A. Bastarrika, and R. Libonati. 2008. Global burned-land estimation in Latin America using MODIS composite data.Ecological Applications 18: 64–79. doi: 10.1890/06-2148.1

    Article  PubMed  Google Scholar 

  • Cingolani, A.M., D. Renison, M.R. Zak, and M.R. Cabido. 2004. Mapping vegetation in a heterogeneous mountain rangeland using Landsat data: an alternative method to define and classify land-cover units.Remote Sensing of Environment 92: 84–97. doi: 10.1016/j.rse.2004.05.008

    Article  Google Scholar 

  • Cingolani, A.M., M.V. Vaieretti, M.A. Giorgis, N. La Torre, J.I. Whitworth-Hulse, and D. Renison. 2013. Can livestock and fires convert the sub-tropical mountain rangelands of central Argentina into a rocky desert? The Rangeland Journal 35: 285–297. doi: 10.1071/RJ12095

    Article  Google Scholar 

  • Cochrane, M.A., A. Alencar, M.D. Schulze, C.M. Souza, D.C. Nepstad, P. Lefebvre, and E.A. Davidson. 1999. Positive feedbacks in the fire dynamic of closed canopy tropical forests.Science 284: 1832–1835. doi: 10.1126/science.284.5421.1832

    Article  CAS  PubMed  Google Scholar 

  • Colladon, L. 2004. Temperaturas medias mensuales 1994–2003. Cuenca del Río San Antonio. Sistema del Río Suquía, Provincia de Córdoba. Instituto Nacional del Agua, Buenos Aires, Argentina. [In Spanish.]

    Google Scholar 

  • Colladon, L., and I. Pazos. 2014. Anuario pluviométrico 1992/1993–2011/2012. Cuenca del Río San Antonio. Sistema del Río Suquía, provincia de Córdoba. Instituto Nacional del Agua, Buenos Aires, Argentina. [In Spanish.]

    Google Scholar 

  • Davison, J. 1996. Livestock grazing in wildland fuel management programs. Rangelands 18: 242–245. Page 71

    Google Scholar 

  • de Martonne, E. 1926. L’indice d’aridité. Bulletin de l’Association de Géographes Français 3(9): 3–5. [In French.] doi: 10.3406/bagf.1926.6321

    Article  Google Scholar 

  • Di Bella, C.M., E.G. Jobbágy, J.M. Paruelo, and S. Pinnock. 2006. Continental fire density in South America.Global Ecology and Biogeography 15: 192–199. doi: 10.1111/j.1466-822X.2006.00225.x

    Article  Google Scholar 

  • Dubinin, M., P. Potapov, A. Luschekina, and V.C. Radeloff. 2010. Reconstructing long time series of burned areas in arid grasslands of southern Russia by satellite remote sensing.Remote Sensing of Environment 114: 1638–1648. doi: 10.1016/j.rse.2010.02.010

    Article  Google Scholar 

  • Fischer, M.A., C.M. Di Bella, and E.G. Jobbágy. 2012. Fire patterns in central semiarid Argentina.Journal of Arid Environments 78: 161–168. doi: 10.1016/j.jaridenv.2011.11.009

    Article  Google Scholar 

  • Gavier, G.I., and E.H. Bucher. 2004. Deforestación de las Sierras Chicas de Córdoba (Argentina) en el período 1970–1997.Academia Nacional de Ciencias, Miscelánea 101: 1–27. [In Spanish.]

    Google Scholar 

  • Giorgis, M.A., A.M. Cingolani, and M. Cabido. 2013. El efecto del fuego y las caracteristicas topográficas sobre la vegetación y las propiedades del suelo en la zona de transición entre bosques y pastizales de las Sierras de Córdoba, Argentina. Boletín de la Sociedad Argentina de Botánica 48(3–4): 493–513. [In Spanish.]

    Google Scholar 

  • Giorgis, M.A., A.M. Cingolani, F. Chiarini, J. Chiapella, G. Barboza, L.A. Espinar, R. Morero, D.E. Gurvich, P.A. Tecco, R. Sibils, and M. Cabido. 2011. Composición florística del Bosque Chaqueño Serrano de la provincia de Córdoba, Argentina.Kurtziana 36: 9–43. [In Spanish.]

    Google Scholar 

  • Giraudoux, P. 2013. pgirmess: data analysis in ecology. R package version 1.5.8. <>. Accessed 15 Apr 2014.

  • Grau, H.R., and T. Veblen. 2000. Rainfall variability, fire and vegetation dynamics in neotropical montane ecosystems in north-western Argentina.Journal of Biogeography 27: 1107–1121. doi: 10.1046/j.1365-2699.2000.00488.x

    Article  Google Scholar 

  • Gurvich, D.E., L. Enrico, and A.M. Cingolani. 2005. Linking plant functional traits with post-fire sprouting vigour in woody species in central Argentina.Austral Ecology, 30: 789–796. doi: 10.1111/j.1442-9993.2005.01522.x

    Article  Google Scholar 

  • Hantson, S., S. Pueyo, and E. Chuvieco. 2015. Global fire size distribution is driven by human impact and climate.Global Ecology and Biogeography 24: 77–86. doi: 10.1111/geb.12246

    Article  Google Scholar 

  • Hijmans, R.J., S.E. Cameron, J.L. Parra, P.G. Jones, and A. Jarvis. 2005. Very high resolution interpolated climate surfaces for global land areas.International Journal of Climatology 25: 1965–1978. doi: 10.1002/joc.1276

    Article  Google Scholar 

  • Jaureguiberry, P., G. Bertone, and S. Diaz. 2011. Device for the standard measurement of shoot flammability in the field.Austral Ecology 36: 821–829. doi: 10.1111/j.1442-9993.2010.02222.x

    Article  Google Scholar 

  • Keeley, J.E., C.J. Fotheringham, and M. Morais. 1999. Reexamining fire suppression impacts on brushland fire regimes.Science 284: 1829–1832. doi: 10.1126/science.284.5421.1829

    Article  PubMed  CAS  Google Scholar 

  • Kepe, T. 2005. Grasslands ablaze: vegetation burning by rural people in Pondoland, South Africa. South African Geographical Journal 87: 10–17. doi: 10.1080/03736245.2005.9713821

    Article  Google Scholar 

  • Kitzberger, T., T.T. Veblen, and R. Villalba. 1997. Climatic influences on fire regimes along a rain forest-to-xeric woodland gradient in northern Patagonia, Argentina. Journal of Biogeography 24(1): 35–47. doi: 10.1111/j.1365-2699.1997.tb00048.x

    Article  Google Scholar 

  • Krawchuk, M.A., and M.A. Moritz. 2011. Constraints on global fire activity vary across a resource gradient.Ecology 92: 121–132. doi: 10.1890/09-1843.1

    Article  PubMed  Google Scholar 

  • Kunst, C., and S. Bravo. 2003. Ecología y régimen de fuego en la región chaqueña Argentina. Pages 109–118 in: C. Kunst, S. Bravo, and J. Panigatti, editors. Fuego en los ecosistemas Argentinos. Ediciones INTA, Buenos Aires, Argentina. [In Spanish.]

    Google Scholar 

  • Luti R., M.A. Bertrán de Solí, M.F. Galera, N. Müller de Ferreira, M. Berzal, M. Nores, M.A. Herrera, and J.C. Barrera. 1979. Vegetación. Pages 297–368 in: J. Vázquez, R. Miatello, and M. Roque, editors. Geografía física de la provincia de Córdoba. Boldt, Buenos Aires, Argentina. [In Spanish.]

    Google Scholar 

  • Miglietta, S. 1994. Patrón de ocurrencia de incendios y su efecto sobre la vegetación en el bosque serrano de Córdoba. Thesis, Universidad Nacional de Córdoba, Córdoba, Argentina. [In Spanish.]

    Google Scholar 

  • Morgan, P., C.C. Hardy, T.W. Swetnam, M.G. Rollins, and D.G. Long. 2001. Mapping fire regimes across time and space: understanding coarse and fine-scale patterns.International Journal of Wildland Fire 10: 329–342. doi: 10.1071/WF01032

    Article  Google Scholar 

  • Nirich, S. 2000. Diagnóstico provincial de los sistemas de gestión de residuos sólidos urbanos. Agencia Córdoba Ambiente, Córdoba, Argentina. [In Spanish.]

    Google Scholar 

  • Pausas, J.G., and J.E. Keeley. 2009. A burning story: the role of fire in the history of life.BioScience 59: 593–601. doi: 10.1525/bio.2009.59.7.10

    Article  Google Scholar 

  • Pivello, V.R. 2011. The use of fire in the Cerrado and Amazonian rainforests of Brazil: past and present. Fire Ecology 7(1): 24–39. doi: 10.4996/fireecology.0701024

    Article  Google Scholar 

  • Pyne, S.J. 1997. World fire: the culture of fire on earth. University of Washington Press, Seattle, USA.

    Google Scholar 

  • QGIS Development Team. 2012. Quantum GIS Geographic Information System. Open Source Geospatial Foundation Project. <>. Accessed 23 Nov 2013.

  • R Development Core Team. 2013. R: a language and environment for statistical computing (version 3.0.2). R Foundation for Statistical Computing, Vienna, Austria. <>. Accessed 15 Apr 2014.

    Google Scholar 

  • Radeloff, V.C., R.B. Hammer, S.I. Stewart, J.S. Fried, S.S. Holcomb, and J.F. McKeefry. 2005. The wildland-urban interface in the United States.Ecological Applications 15: 799–805. doi: 10.1890/04-1413

    Article  Google Scholar 

  • Renison, D., A.M. Cingolani, and R. Suarez. 2002. Efectos del fuego sobre un bosquecillo de Polylepis australis (Rosaceae) en las montañas de Córdoba, Argentina.Revista Chilena de Historia Natural 75: 719–727. [In Spanish.] doi: 10.4067/S0716-078X2002000400007

    Article  Google Scholar 

  • Renison, D., I. Hensen, R. Suarez, and A.M. Cingolani. 2006. Cover and growth habit of Polylepis woodlands and shrublands in the mountains of central Argentina: human or environmental influence? Journal of Biogeography 33: 876–887. doi: 10.1111/j.1365-2699.2006.01455.x

    Article  Google Scholar 

  • Rollins, M.G., P. Morgan, and T. Swetnam. 2002. Landscape-scale controls over 20th century fire occurrence in two large Rocky Mountain (USA) wilderness areas.Landscape Ecology 17: 539–557. doi: 10.1023/A:1021584519109

    Article  Google Scholar 

  • Russell-Smith, J., P.G. Ryan, and D.C. Cheal. 2002. Fire regimes and the conservation of sandstone heath in monsoonal northern Australia: frequency, interval, patchiness.Biological Conservation 104: 91–106. doi: 10.1016/S0006-3207(01)00157-4

    Article  Google Scholar 

  • Silva, J.F., A. Zambrano, and M.R. Fariñas. 2001. Increase in the woody component of seasonal savannas under different fire regimes in Calabozo, Venezuela.Journal of Biogeography 28: 977–983. doi: 10.1046/j.1365-2699.2001.00614.x

    Article  Google Scholar 

  • Tálamo, A., and S.M. Caziani. 2003. Variation in woody vegetation among sites with different disturbance histories in the Argentine Chaco.Forest Ecology and Management 184: 79–92. doi: 10.1016/S0378-1127(03)00150-6

    Article  Google Scholar 

  • Torres, R.C., M.A. Giorgis, C. Trillo, L. Volkmann, P. Demaio, J. Heredia, and D. Renison. 2014. Post-fire recovery occurs overwhelmingly by resprouting in the Chaco Serrano forest of central Argentina.Austral Ecology 39: 346–354. doi: 10.1111/aec.12084

    Article  Google Scholar 

  • van der Werf, G.R., J.T. Randerson, L. Giglio, N. Gobron, and A.J. Dolman. 2008. Climate controls on the variability of fires in the tropics and subtropics. Global Biogeochemical Cycles 22: GB3028. doi: 10.1029/2007GB003122

    Google Scholar 

  • Van Wilgen, B.W., N. Govender, H.C. Biggs, D. Ntsala, and X.N. Funda. 2004. Response of savanna fire regimes to changing fire-management policies in a large African national park.Conservation Biology 18: 1533–1540. doi: 10.1111/j.1523-1739.2004.00362.x

    Article  Google Scholar 

  • Vázquez, J.B., R.A. Miatello, and M. Roque. 1979. Geografía física de la provincia de Córdoba. Banco Provincia de Córdoba, Córdoba, Argentina. [In Spanish.]

    Google Scholar 

  • Veblen, T.T., T. Kitzberger, R. Villalba, and J. Donnegan. 1999. Fire history in northern Patagonia: the roles of humans and climatic variation.Ecological Monographs 69: 47–67. doi: 10.1890/0012-9615(1999)069[0047:FHINPT]2.0.CO;2

    Article  Google Scholar 

  • Whelan, R.J. 1995. The ecology of fire. Cambridge University Press, England, United Kingdom.

    Google Scholar 

  • Zak, M.R. 2008. Patrones espaciales de la vegetación de la provincia de Córdoba. Análisis complementario de información satelital y datos de campo. Dissertation, Universidad Nacional de Córdoba, Argentina. [In Spanish.]

    Google Scholar 

  • Zak, M.R., M. Cabido, and J.G. Hodgson. 2004. Do subtropical seasonal forests in the Gran Chaco, Argentina, have a future? Biological Conservation 120: 589–598. doi: 10.1016/j.biocon.2004.03.034

    Article  Google Scholar 

Download references


The authors want to thank Dr. C. Di Bella from INTA (Instituto de Clima y Agua) for his helpful advice to improve this research, and personnel from Instituto Gulich, CONAE-UNC for their support and use of their facilities. This study was funded by grants to LMB from SECyT – Universidad Nacional de Córdoba, FONCYT (PICT N° 1147), and CONICET (PIP N° 11220090100263). J. Argañaraz has a fellowship from CONICET. L. Bellis is a researcher at CONICET. We acknowledge the use of FIRMS data and imagery from the Land Atmosphere Near-real time Capability for EOS (LANCE) system operated by the NASA/GSFC/Earth Science Data and Information System (ESDIS) with funding provided by NASA/HQ. T. Hanlon and Dr. V. Andreo provided language help.

Author information

Authors and Affiliations


Corresponding author

Correspondence to Juan P. Argañaraz.

Rights and permissions

Open Access  This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made.

The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.

To view a copy of this licence, visit

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Argañaraz, J.P., Gavier Pizarro, G., Zak, M. et al. Fire Regime, Climate, and Vegetation in the Sierras de Córdoba, Argentina. fire ecol 11, 55–73 (2015).

Download citation

  • Published:

  • Issue Date:

  • DOI:


  • Argentina
  • Chaco Serrano
  • Córdoba province
  • dry forests
  • fire regime
  • Landsat