- Research Article
- Open Access
The Influence of Fire on the Radiocarbon Signature and Character of Soil Organic Matter in the Siskiyou National Forest, Oregon, USA
Fire Ecology volume 9, pages 40–56 (2013)
Forest fires contribute a significant amount of CO2 to the atmosphere each year, and CO2 emissions from fires are likely to increase under projected conditions of global climate change. In addition to volatilizing aboveground biomass and litter layers, forest fires have a profound effect on belowground carbon (C) pools and the cycling of soil organic matter as a whole. However, the influence of fire on belowground organic matter cycling is not well defined and varies widely with fire severity. We measured soil organic matter (SOM) characteristics across a range of fire severities two years after the 2002 Biscuit Fire in southwest Oregon, USA, to address the following questions: (1) Which C pools are preferentially volatilized or transformed to charcoal under low-severity and high-severity fire? (2) How does fire change the distribution of SOM among density fractions and depths? (3) How does fire affect the general character of SOM including such variables as abundance, C:N ratio, 13C abundance, and 14C abundance? We examined soils from a mixed hardwood-evergreen forest across a range of burn severities: unburned, low severity, mixed severity, and high severity. Results indicated that increasing burn severity led to progressive loss of forest floor mass, but not to progressive loss of C from the mineral soil. Although fire significantly increased the charcoal content of the soils, fire did not significantly change the distribution of soil organic matter between heavy and free or light fractions. Other significant changes in soil organic matter characteristics included a progressive increase in nitrogen (N) with increasing burn severity, possibly due to the encroachment of N-fixing shrubs following the loss of native vegetation. Although qualitative changes in total root abundance following fire were noted, differences among burn severity treatments were not statistically significant. Increased concentrations of rock fragments in burned areas may be suggestive of erosion in these areas, consistent with previous studies documenting varying degrees of soil erosion following fire. In addition, although 13C abundances were similar among severely burned and unburned plots, soils from severely burned plots were significantly depleted in 14C in comparison to soils from unburned plots. This 14C depletion is most likely the combined result of erosion and preferential combustion of organics enriched in 14C relative to the bulk soil, perhaps reflecting a historical pattern of fire occurrence and severity across the landscape.
Los incendios forestales contribuyen significativamente al incremento anual de CO2 en la atmósfera, y es probable que las emisiones de CO2 provenientes de estos incendios incrementen en las condiciones proyectadas de cambio climático global. Además de volatilizar la biomasa superficial y la hojarasca, los incendios forestales tienen un profundo efecto sobre los depósitos de carbono (C) subterráneo y en el ciclo de la materia orgánica. Sin embargo, la influencia de los incendios en el ciclo de la materia orgánica subterránea no ha sido totalmente comprendida y varía mucho en función de la severidad de cada incendio. En este estudio medimos las características de la materia orgánica del suelo (MOS) en un rango diverso de severidades de fuego dos años después del incendio Biscuit, ocurrido en 2002 en el sureste de Oregon, en los EUA y formulamos las siguientes preguntas: (1) ¿Cuáles depósitos de C son volatilizados o transformados en carbono vegetal bajo incendios de alta y baja severidad? (2) ¿A raíz del incendio, cómo cambia la distribución de la SOM en sus distintas fracciones en cuanto a densidad y profundidad del suelo? (3) ¿Cómo afecta el incendio el carácter general de la SOM incluyendo aquellas variables como abundancia, relación C:N, y abundancia de 13C y 14C? Examinamos suelos provenientes de bosques perennifolios mixtos de crecimiento lento a lo largo del siguiente rango de severidades de fuego: sin quemar, baja, mixta y alta. Los resultados indicaron que el incremento en la severidad del incendio lleva a la pérdida progresiva de la masa del suelo forestal, pero no a pérdidas progresivas de carbono en el suelo mineral. Aunque el incendio incrementó significativamente el contenido de carbono en el suelo, no produjo cambios significativos en la MOS en sus distintas fracciones. Otros cambios significativos en las características de la MOS incluyeron un incremento progresivo en el nitrógeno (N) a medida que aumentó la severidad, debido posiblemente al incremento en arbustos fijadores de nitrógeno después de la pérdida de vegetación nativa. Aunque los cambios cualitativos en la abundancia total de raíces fueron notables después del incendio, éstos no fueron significativos entre los distintos niveles de severidad. Los incrementos observados en la concentración de fragmentos de rocas en áreas quemadas podrían sugerir procesos erosivos, lo que ha sido documentado anteriormente por estudios previos. Aunque la abundancia de 13C fue similar en parcelas quemadas y no quemadas, el 14C en las parcelas quemadas severamente disminuyó significativamente en relación a las parcelas no quemadas. Este agotamiento en el 14C es probablemente el resultado de los efectos combinados de la erosión y la combustión de compuestos orgánicos enriquecidos con 14C y relativos a la masa total del suelo, que probablemente reflejen el patrón histórico de incidencia y la intensidad de los incendios en el paisaje.
Forest fires play a substantial role in the global carbon (C) cycle as a whole, with forest loss and degradation due to fire accounting for an estimated 12 % of total anthropogenic CO2 emissions (van der Werf et al. 2009, Halofsky et al. 2010). Both the frequency and severity of forest fires are likely to increase under scenarios of future climate conditions (Dale et al. 2001, Westerling et al. 2006, IPCC 2007, Littell et al. 2009, Westerling et al. 2011, Moritz et al. 2012), highlighting the importance of assessing the impacts of forest fire on the terrestrial C cycle.
Frequently, estimates of C loss and ecosystem disturbance due to fire only account for aboveground losses and disturbances. Given that, globally, the soil organic C pool is nearly three times the size of the aboveground biomass C pool (Lal 2004), the effects of fire on the soil organic C cycle should be included in assessments of overall ecosystem disturbance and C emissions. Though more recent investigations (Yermakov and Rothstein 2006, Campbell et al. 2007, Bormann et al. 2008, Mack et al. 2011, Nave et al. 2011, Kashian et al. 2013) have begun to examine the effects of fires on soil organic C stocks as well as aboveground C stocks, few studies have examined the effects of fire on the nature and properties of the soil organic matter cycle as a whole. Additionally, there is an inherently large amount of uncertainty associated with soil organic C stock stability under changing climate conditions. Taking into consideration the effects of major disturbance events such as fire on the belowground C cycle only increases these uncertainties, offering further proof of the need for more intense research into the effects of forest fires on soil organic matter cycling.
Previous studies have explored the effects of fire on soil organic matter properties from the ecosystem scale to the molecular level. The effect of fire on soil organic matter stocks is highly variable, and depends on ecosystem type, fire severity, landscape position, and soil properties. Changes in soil organic matter molecular structure depend strongly on fire temperature and intensity. When soils reach temperatures above ∼50 °C, microbial mortality, root mortality, and soil organic matter structural alteration are initiated. As temperatures rise and the time of exposure to intense heat increases, soil organic matter goes through progressive molecular alteration including dehydration, followed by dehydrogenation, volatilization of nitrogenous compounds, loss of functional groups (i.e., decarboxylation and demethylization), and finally formation of polycyclic aromatic hydrocarbons through condensation reactions (Hernández et al. 1997, Knicker 2007, Ciampa et al. 2009). These molecular scale changes can lead to increases in soil organic matter hydrophobicity and decreases in biodegradability, resulting in increased mean residence times (MRT) for pyrogenic materials (commonly referred to as charcoal, char, or black carbon). Soil organic C mineralization rates may be additionally suppressed following intense fires due to loss of microbial biomass. Severe fires may sterilize the upper centimeters of mineral soil, and microbial communities may take anywhere from months up to 10 years to fully recover to previous activity levels (Fritz et al. 1993, Dumontet et al. 1996, Hamman et al. 2007, Dooley and Tresender 2012, Ginzburg and Steinberger 2012). Other commonly reported changes in soil parameters following fire include increases in pH, hydrophobicity, exchangeable cation concentration, and soil temperature. The effect of fire on large scale estimates of soil organic carbon (SOC) stocks is highly variable. Many studies report an increase in soil organic C and N (nitrogen) stocks following fire, while other studies find the opposite (Johnson and Curtis 2001, Wan et al. 2001, Hart et al. 2005, Johnson et al. 2007, Smithwick et al. 2009, Nave et al. 2011).
In the current study, we took a comprehensive approach to assessing the influence of fire on forest soil organic matter cycling. Soils subjected to a range of fire severities were examined with the goal of assessing: (1) Which C pools are preferentially volatilized or transformed to charcoal under low and high severity fire? (2) How does fire change the distribution of soil organic matter (SOM) among density fractions and depths? (3) How does fire affect the general character of SOM including such variables as abundance, C:N ratio, 13C abundance, and 14C abundance?
Changes in root abundance, soil C and N concentrations, and forest floor characteristics were evaluated across a range of fire severities. Soil erosion, which is often a consequence of vegetation and litter layer loss following fire, was evaluated by comparing rock fragment content among soils subjected to different burn severities. Additionally, we used natural abundance radiocarbon as a conservative tracer to characterize changes in soil organic C distribution among density fractions as the result of high severity stand-replacing forest fire, and to gain insight into the suitability of adjacent unburned plots for use as controls when studying the effects of fire on forested ecosystems
Sample Sites and Soil Sampling
The Biscuit Fire was a mosaic fire that burned over 200 000 hectares of mixed conifer forest (overstory dominated by Pseudotsuga menziesii [Mirb.] Franco, Pinus lambertiana Douglas, Pinus ponderosa Lawson and C. Lawson, Abies concolor [Gord. and Glend.] Lindl. ex Hildebr., and Quercus spp.) in Siskiyou National Forest, Oregon, USA, in 2002. The extent and effects of the Biscuit Fire are well documented (Harma and Morrison 2003a, b; Campbell et al. 2007; Bormann et al. 2008; Donato et al. 2009a, b). The mosaic pattern of the fire yielded patches of forest impacted by different burn intensities. Areas that showed no evidence of fire were designated as control plots. Burned areas in which at least 75 % of the aboveground dominant vegetation survived were designated as low severity plots (Hann et al. 2004). Burned areas that showed local spatial variation in burn severity, alternating between low and high severity, were designated as mixed severity plots (Smith 2000). Areas in which at least 75 % of the aboveground dominant vegetation was consumed or died as a result of fire were designated as high severity plots (Hann et al. 2004).
Soils were sampled in August 2004, approximately two years post fire, from areas of different burn severity: unburned control stands (not burned in the past 50 years), low severity stands, mixed severity stands, and high severity stands. Sites were selected so that variation in stand age, slope, aspect, and elevation were minimized (Table 1). Samples were taken at four 1 ha sites in each burn severity class for root, rock fragment, C and N concentration measurements, and soil sampling sites were distributed across each plot area. An additional two plots were sampled at high-severity burn sites and unburned control sites. Ten to twenty cores were composited at each site, mixed, and stored frozen until they were processed. Soils used for root, rock fragment, and C and N concentration measurements were collected from one depth, 0 cm to 5 cm, using a large-diameter (6 cm) auger. Soils used for density separations were collected at depth increments of 0 cm to 5 cm and 5 cm to 15 cm from the high severity sites and unburned control sites using a small-diameter (2 cm) auger.
Volumetric rock fragment content of the soils was estimated in the lab from soil cores of known volume as the volume of the rocks (>2 mm) divided by the total volume of core sample. Organic C and total N concentrations were measured on the fine earth fraction on a Leco CNS-2000 Macro Analyzer (LECO Corporation, St. Joseph, Michigan, USA) at the Central Analytical Laboratory at Oregon State University. Separate cores were used for root abundance measurements. Roots were separated from the mineral soil through hydro pneumatic elutriation (Caldwell and Virginia 1989) and classified according to diameter: fine roots of <2 mm diameter, and medium roots of 2 mm to 10 mm diameter. Larger roots were not found in the examined soil samples. Forest floor samples, measuring 180 cm2, were collected from 12 locations randomly distributed throughout each study plot.
Density separation. Soils were sieved at 2 mm (#10 sieve), and all other analyses were performed on the fine earth fraction. Roots were removed, and soils were dried at 65 °C for three days after sieving. Soils were density fractionated densimetrically using a method modified from Strickland and Sollins (1987) and Swanston et al. (2005). Soil subsamples (50 g) of the soils were weighed into 250 ml Nalgene® centrifuge bottles. One hundred millimeters of sodium polytungstate at a density of 1.65 g cm−3 were added to each bottle. Bottles were capped and shaken at low speed on a shaker table for one hour. Samples were then allowed to settle overnight to permit ample time for separation of organic and mineral fractions. The supernatant was then aspirated, and the aspirated fraction was rinsed with double deionized water over a 0.8 µrn polycarbonate filter before being oven-dried at 65 °C. Materials that floated at a density of 1.65 g cm−3, and were subsequently aspirated, were classified as the light fraction. Light fraction removal was repeated until no organics were visible in the supernatant solution. The remaining soil pellet (considered the heavy fraction) was rinsed three times with double deionized water through repeated suspension in water, centrifugation at 2800 × g, and aspiration of supernatant. The rinsed heavy fractions were dried at 105 °C. Coarse charcoal particles, operationally defined as charcoal particles large enough to be visible at 40x magnification, were picked out of the light fractions using tweezers and a dissecting microscope. Carbon concentrations of fractions were estimated manometrically during the graphitization process by combusting an aliquot of each fraction and measuring the volume of CO2 produced. This method of percentage C estimation and the process of density separation itself introduce a nontrivial amount of error into calculations of C recovery, as can be seen in Table 2. Although mass recoveries after density separation were very close to 100 % with small standard errors, C recoveries were systematically skewed to values >100 %.
δ13 C and radiocarbon analysis. After density separation, subsamples of each density fraction were sent to the Stable Isotope Ratio Facility for Environmental Research at the University of Utah, Salt Lake City, for 13C analysis. The δ13C values are reported in reference to the international Pee Dee Belemnite standard. Density fractions and bulk soils were measured for radiocarbon abundance in 2004. Coarse charcoal fragments were measured for radiocarbon in 2011. Samples were combusted with CuO and Ag in sealed glass test tubes to form CO2 gas. The CO2 was then reduced to graphite through heating in the presence of H2 gas and a Fe catalyst (Vogel et al. 1987). The graphitized samples were measured for radiocarbon (Δ14C) at the Center for Accelerator Mass Spectrometry, Lawrence Livermore National Lab, California (Davis et al. 1990). Radiocarbon data is reported as F14C (Reimer et al. 2004) and Δ14C. Reported radiocarbon values included a background subtraction determined from 14C-free coal, a δ13C correction for isotopic fractionation, and a decay correction to account for decay of the primary standard (Oxalic acid 1) since 1950 (Stuiver and Polach 1977). Analytical error on average was ±4.4 ‰.
Modeling and Statistical Analysis
Mean residence times (MRT) of bulk soils and density fractions were calculated using a time-dependent steady-state model (Trumbore 1993, Torn et al. 2009). This model assumes that all organic inputs to each modeled fraction bear the atmospheric radiocarbon signature of the previous year, and does not account for lag times associated with the transfer of organics among fractions. These calculations are thus likely to overestimate MRTs. Thermonuclear testing in the 1950s and 1960s doubled the amount of radiocarbon in the atmosphere. Due to the incorporation of this “bomb” radiocarbon into soil fractions at different rates, some fractions that cycle carbon more rapidly have two possible MRTs. In all cases where two MRT solutions were possible, the shorter MRT was eliminated as a possible solution due to the unreasonably large predicted yearly output of C from the fraction (>30 % of total pool size per year).
Each sample site was treated as an independent statistical replicate when evaluating the influence of burn intensity on soil characteristics. For data associated with percent C, percent N, litter, roots, and rock fragments, n = 4 for all burn severities. Only control and high-severity burn soils were used for density separation and radiocarbon analysis, and although 6 plots were sampled for each, n = 5 or n = 6 due to the loss of some samples during laboratory processing. Significant differences in soil characteristics among treatments were determined by either one-way ANOVA by burn treatment or two-way ANOVA by burn treatment and soil horizon depth (α = 0.05). The ANOVA analysis was followed by a Tukey-Kramer post hoc test at a 95 % confidence limit.
Forest floor mass was significantly reduced in all burned stands, and reductions were highest in the high-severity burn areas. Areas that experienced high-severity burning also showed changes in forest floor composition, with evidence that woody debris in the litter layer was nearly double that in the unburned control stands (Table 3).
Soil organic C concentrations did not vary significantly with burn severity. Soil N concentrations in the soils from burned stands were higher than N concentrations in the unburned control sites. Soil N concentrations in the high-severity burn sites were more than twice that of the control sites (0.18 % versus 0.40 %), while the mixed-severity sites and low-severity underburn sites had intermediate N concentrations (0.21 % and 0.29 %). No significant differences were noted in δ13C signatures between unburned and severely burned soils. Light fractions had high average C contents of 36.7 ±1.0 % and were composed of organic matter in various forms and stages of decay, including coarse charcoal. Coarse charcoal comprised a significant portion of the total C pool in soils from severely burned sites (40.7 ±4.6 %); whereas soils from the control plots contained very little coarse charcoal (3.6 ±0.4 % of total C). Coarse charcoal was found in light fractions from both sampled depth increments (0 cm to 5 cm and 5 cm to 15 cm). Heavy fractions were mostly mineral material and had low C concentrations of approximately 3.3 % (±0.2 %). No coarse charcoal particles were observed in the heavy fractions from either the control or high-severity burn soils. In both sampled depth increments, the heavy fractions from the high-severity burn plots appeared to have higher average C concentrations than the equivalent fraction from the control plots (average of 3.5 % C versus 3.0 % C respectively), but due to the large within-treatment variation, these differences were not statistically significant (Figure 1). Variation in mineral soil C:N ratios followed variation in N concentrations, with soils from control plots having significantly higher C:N ratios than soils from severely burned plots.
The skeletal nature of the soils examined in this study prevented any accurate measurements of bulk density, but estimates of soil erosion were attempted by comparing coarse fragment contents of the soils from different burn severity classes, following Bormann et al. (2008). This method of estimating erosion assumes that, as soil fines are removed from the soil surface by water or wind, the coarse rock fragments are left behind, leaving eroded soils with qualitatively higher rock fragment contents than their uneroded counterparts. Although differences in rock fragment content among soils were not statistically significant due to high variability within treatment groups, soils from high-severity burn plots were 4 % greater than the control soils; percent rock fragment content of low- and mixed-severity plots were 3 % greater than control soils (Table 4).
Density fractions and coarse charcoal particles from unburned and high-severity burn plots were measured for radiocarbon abundance. Light fractions were measured both with coarse charcoal included and with coarse charcoal particles removed. In all cases, heavy and light fractions from the high-severity burn soils had longer MRT than their counterparts from the unburned control soils (Table 5). Differences in MRT were significant only in the 0 cm to 5 cm depth increment (P = 0.050 for light fractions, P = 0.041 for heavy fractions; Figure 2). In the 0 cm to 5 cm depth increment, Δ14C of charcoal fragments taken from the burned soils were variable, but averaged ∼1 ‰ (parts per thousand), indicating that these charcoals were a mix of contemporary C as well as charcoal formed prior to 1950. In contrast, the average Δ14C of charcoal from the 0 cm to 5 cm layer of the unburned soils was −45 ‰. In the 5 cm to 15 cm depth, the reverse is true; charcoals from the severely burned soils were radiocarbon depleted in comparison to charcoal in the control soils (Table 5, Figure 2c).
Qualitatively, fine root abundance seemed to increase with increasing burn severity, and medium root abundance seemed to decrease with increasing burn severity. However, these trends were not statistically significant (P > 0.05; Table 3).
Despite decades of intense study, the net effect of fire on forest soil C and N storage remains unresolved. This is partially due to the highly variable nature of fires, as well as the inherent heterogeneity of soils. However, whether mineral soils appear to gain or lose C and N as a result of fire also depends to a great degree on whether soil erosion and concurrent changes in soil bulk density are factored into loss estimates (Bormann et al. 2008, Nave et al. 2011). If the possibility of erosion and subsequent changes in soil bulk density are discounted, fire did not significantly reduce C concentrations in any of the soils examined in this study, regardless of burn severity. The main effect of high-severity fire seemed to be a change in the character of the organics through conversion of the low density organic matter into charcoal (Figure 1).
The difference in radiocarbon abundance between unburned and high severity burn soils also offers compelling evidence that fire had a significant impact on the character of the remaining soil organic matter. In all density fractions and at both examined depths, soils from severely burned plots were depleted in 14C in comparison to soils from unburned plots. The lower Δ14C values yielded longer modeled MRTs for organics in burned soils, giving them the appearance of increased SOM stability and turnover time.
The magnitude of 14C depletion observed in the SOM from the high-severity burn plots suggests that the 2002 Biscuit Fire was not solely responsible for the observed SOM transformations observed at these plots. Most likely, the depletion of 14C and resultant increase in apparent MRT in the 0 cm to 5 cm layer of burned soils was due to the combined effects of erosion and combustion, possibly over several fires. In general, soil radiocarbon abundance decreases with depth; therefore, erosion of surface soil could expose organics depleted in radiocarbon relative to the removed soil. Selective combustion of organics enriched in radiocarbon relative to bulk SOM could also leave behind soils depleted in radiocarbon (longer MRT) relative to unburned soils. This selective combustion could be due to both the physical distribution of organics and their molecular characteristics. Molecular structure may play a role in determining which organics are completely combusted and which are converted to charcoal. Laboratory thermal analysis has indicated that when soil organics are burned, carbohydrates and low molecular weight organics are lost prior to the combustion of more complex aromatic compounds (see Plante et al. 2009). In such a case, relatively undecomposed organics may combust prior to condensed polyaromatics or charcoals formed in previous fire events. Polyaromatic and pyrogenic compounds are also more persistent in many soils (Skjemstad et al. 1996, Knicker 2007), with correspondingly low radiocarbon abundance (Schmidt et al. 2002, Gavin et al. 2003). The 0 cm to 5 cm light fraction (char removed) was 107 Δ14C in the unburned plots, but only 60 Δ14C in the burned plots. This difference could reflect selective loss of the light fraction due its relative molecular structural lability as well as its primary location in more aerated macropores within the soil matrix. The addition of charred material to the soil matrix from more contemporary needles and litter is much less likely to have contributed to significant net 14C depletion of the light fraction, since such pools often reflect atmospheric values in the 5 to 10 years prior to the fire, which ranged from 136 Δ14C to 75 Δ14C (Hua and Barbetti 2004, Levin and Kromer 2004).
The most basic hypothesis was that if the radiocarbon signature of the eroded control soil matched the radiocarbon signature of the high-severity burn soil, then erosion could be identified as the overriding mechanism responsible for the changes in radiocarbon content observed in the burned soils. To determine whether erosion could account for the differences in apparent MRT between high-severity burn soils and unburned control soils, we calculated the effect of 1.8 cm of erosion on the radiocarbon signature of the 0 cm to 5 cm layer of the unburned control soils (Figure 3). We chose an erosion value of 1.8 cm as the most likely scenario through comparison with published erosion rates from nearby soils (Bormann et al. 2008) and documented increases in coarse fragment content of the burned soils. Around 2 cm of erosion is necessary to account for a 4 % increase in rock fragment content, which is very close to the 1.8 cm of soil erosion measured by Bormann et al. (2008) on similar soils in the area after the Biscuit Fire. Calculation indicated that the apparent MRT of the heavy fraction of the high-severity burn soils was not significantly different than that of the eroded control soil (P = 0.698), indicating that 1.8 cm of erosion could account for the observed radiocarbon abundance and MRT of the high-severity burn soils. However, erosion could not fully explain differences in apparent MRT of the light fraction.
The apparent MRT of the light fraction from the high-severity burn soil was still significantly longer than that of the eroded control soil (P = 0.053). Since there was no significant difference in percent C between unburned control soils and high-severity burn soils, differences in radiocarbon abundance of the light fractions can only be explained by replacement of relatively “young” organic matter (14C signature close to modern), with organic matter possessing a lower 14C concentration, either during or after the fire.
High-severity burn soils also contained substantially more coarse charcoal in the 5 cm to 15 cm layer than the unburned control soils. The radiocarbon abundance of these charcoals indicates that in neither case was the charcoal found at depth created in the most recent fire event. Taken together, the differences in Δ14C and proportions of charcoal between the two plot types implies that the high-severity burn plots and unburned control plots have significantly different burn histories. It may also indicate that the high-severity plots have historically burned more intensely or frequently than the control plots, a pattern that has been noted before (Thompson et al. 2007). The proposition of historically different burn patterns and the fire-induced mechanisms of SOM transformation described above are not mutually exclusive. However, differences in fire history among plots do insert greater uncertainty about the timing of the observed changes in SOM characteristics.
Radiocarbon patterns observed in the subsurface layer (5 cm to 15 cm) were different than those of the 0 cm to 5 cm layer. After removal of the coarse charcoal, the estimated MRT of the 5 cm to 15 cm light fraction was equivalent between the control and high-severity burn plots, indicating that non-charcoal organics were cycling at roughly the same rate in all soils, and possibly arguing against the occurrence of substantial long-term erosion. The radiocarbon measurements, coupled with other soil measurements, provided compelling evidence that the main long-term effect of fire on SOM characteristics was not necessarily organic matter or soil loss, but organic matter transformation.
Other important changes in SOM characteristics were noted as well. Nitrogen concentrations in the soils seemed to increase with increasing burn severity, and a near doubling of N concentration was observed in soils from the highest burn severity class. Additionally, in a previous study of soils in the Siskiyou National Forest, Bormann et al. (2008) found no significant subsurface soil N losses (although losses of N from surface horizons were substantial due to erosion) and one subsurface horizon from burned soils was enriched in N in comparison to preburn N concentrations measured at the same site. Post-fire increases in soil N content are not uncommon (Johnson et al. 2001, Wan et al. 2001), and have been attributed to a combination of N additions from ash, increases in nitrogen mineralization through stimulation of microbial communities, and post-fire establishment of N-fixing plant species (see Smithwick et al. 2005). These increases in soil N concentration may have a significant influence on future rates of both N and C mineralization from these soils, potentially interacting with different SOM pools through priming effects or stabilizing effects (Sollins et al. 1984, Homann et al. 2001, Neff et al. 2002, Hagedorn et al. 2003, Swanston et al. 2004). Additionally, increases in soil N may have important ramifications for growth rates of postfire vegetation. Nitrogen is commonly a limiting nutrient in forested ecosystems (LeBauer and Treseder 2008), a fact that is incorporated into many Earth System Models (University Corporation for Atmospheric Research 2013). Increases in N availability following fire may stimulate growth rates of post-fire vegetation, a phenomenon recognized in models such as the Community Land Model (Oleson et al. 2010), and which may significantly affect plant growth rate responses to elevated atmospheric CO2 concentrations (Reich et al. 2006).
Changes in forest floor composition and root composition will have long-lasting effects on soil C cycling in these systems, since roots and the litter layer are sources of soil organic matter inputs. The increasing loss of forest floor material with increasing burn severity is a commonly noted, important consequence of wildfire. Increases in the woody debris content of the forest floor in the severely burned plots may serve as a significant and continuing source of charcoal as the debris is degraded and incorporated into the soil (Schulze et al. 1999, Donato et al. 2009a). Although differences in root abundance can only be commented on speculatively due to the high withintreatment variability, increases in fine root abundance concurrent with decreases in medium root abundance in burned soils may indicate a shift to early succession species (e.g., grasses, forbs), as found by Irvine et al. (2007) on another fire in Oregon, and thus in the amount of C contributed to soils from roots each year. This can ultimately lead to a change in the composition of the organic matter. Taken as a whole, data indicate that soils subjected to fire undergo significant changes in soil organic matter character, with changes increasing in magnitude with increasing burn intensity. These changes in soil organic matter characteristics cause fundamental changes in the soil organic C cycling in these systems.
Radiocarbon data suggest that these observed changes in SOM characteristics are not the product of a single fire event, namely the 2002 Biscuit Fire. Instead, radiocarbon data suggest a long history of differing fire frequencies for the so-called unburned control and high severity plots. The greater abundance of charcoal in the high-severity plots at both sampled depths (Figure 1) suggests that these areas have burned more frequently (González-Pérez et al. 2004). Radiocarbon abundances of the charcoal fragments separated from the unburned control and high severity plots are also indicative of differences in fire history among these plots. The effect of longer-term cycles of repeat burning on variables such as soil N turnover and 13C signatures cannot be surmised from the current dataset. However, the data presented here highlight the usefulness of radiocarbon as a natural tracer in soils that can be exploited to evaluate fire histories in forest soils. Application of radiocarbon analysis to elucidate relationships between fire frequency, erosion, and accumulation or loss of SOM could additionally be useful in a modeling context. Although fire is often a part of C cycle models, its influence on the SOM pool is generally poorly constrained due to the complexity of the variables influencing SOM dynamics following fire events (Arora and Boer 2005, Kloster et al. 2010). Radiocarbon measurements of soil charcoals and mineral soils could offer insights into how to parameterize the effects of fire on forest soils (Sun et al. 2004).
Arora, V.K., and G.J. Boer. 2005. Fire as an interactive component of dynamic vegetation models. Journal of Geophysical Research 110: G02008. doi: 10.1029/2005JG000042
Bormann, B.T., P.S. Homann, R.L. Darbyshire, and B.A. Morrissette. 2008. Intense forest wildfire sharply reduces mineral soil C and N: the first direct evidence. Canadian Journal of Forest Research 38: 2771–2783. doi: 10.1139/X08-136
Caldwell, M.M., and R.A. Virginia. 1989. Root systems. Pages 367–394 in: R.W. Pearcy, J.R. Ehlerginger, H.A. Mooney, and P. Rundel, editors. Physiological plant ecology: field methods and instrumentation. Chapman and Hall, London, United Kingdom. doi: 10.1007/978-94-009-2221-1_16
Campbell, J., D. Donato, D. Azuma, and B. Law. 2007. Pyrogenic carbon emission from a large wildfire in Oregon, United States. Journal of Geophysical Research 112: G04014. doi: 10.1029/2007JG000451
Ciampa, A., A. Benedetti, P. Sequi, and M. Valentini. 2009. Effects of a fire event on the soil organic matter of a pine forest and a pasture. Agrochimica 53(1): 41–55.
Dale, V.H., L.A. Joyce, S. McNulty, R.P. Neilson, M.P. Ayres, M.D. Fannigan, P.J. Hanson, L.C. Irland, A.E. Lugo, C.J. Peterson, D. Simberloff, F.J. Swanson, B.J. Stocks, and B.M. Wotton. 2001. Climate change and forest disturbances. BioScience 51(9): 723–734. doi: 10.1641/0006-3568(2001)051[0723:CCAFD]2.0.CO;2
Davis, J.C., I.D. Proctor, J.R. Southon, M.W. Caffee, D.W. Heikkinen, M.L. Roberts, T.L. Moore, K.W. Turteltaub, D.E. Nelson, D.H. Loyd, and J.S. Vogel. 1990. LLNL/US AMS facility and research program. Nuclear Instruments and Methods in Physics Research, Section B 52: 269–272.
Donato, D.C., J.L. Campbell, J.B. Fontaine, and B.E. Law. 2009a. Quantifying char in postfire woody detritus inventories. Fire Ecology 5(2): 104–115. doi: 10.4996/fireecology.0502104
Donato, D.C., J.B. Fontaine, J.L. Campbell, W.D. Robinson, J.B. Kauffman, and B.E. Law. 2009b. Conifer regeneration in stand-replacement portions of a large mixed-severity wildfire in the Klamath-Siskiyou Mountains. Canadian Journal of Forest Research 39: 823–838. doi: 10.1139/X09-016
Dooley, S.R., and K.K. Treseder. 2012. The effect of fire on microbial biomass: a meta-analysis of field studies. Biogeochemistry 109: 49–61. doi: 10.1007/s10533-011-9633-8
Dumontet, S., H. Dinel, A. Scopa, A. Mazzatura, and A. Saracino. 1996. Post-fire soil microbial biomass and nutrient content of a pine forest soil from a dunal Mediterranean environment. Soil Biology and Biochemistry 28: 1467–1475. doi: 10.1016/S0038-0717(96)00160-5
Fritz, H., T. Pennanen, and J. Pietikäinen. 1993. Recovery of soil microbial biomass and activity from prescribed burning. Canadian Journal of Forest Research 23: 1286–1290. doi: 10.1139/x93-164
Gavin, D.G., L.B. Brubaker, and K.P. Lertzman. 2003. Holocene fire history of a coastal temperate rain forest based on soil charcoal radiocarbon dates. Ecology 84: 186–201. doi: 10.1890/0012-9658(2003)084[0186:HFHOAC]2.0.CO;2
Ginzburg, O., and Y. Steinberger. 2012. Effects of forest wildfire on soil microbial-community activity and chemical components on a temporal-seasonal scale. Plant and Soil 360 (1–2): 243–257. doi: 10.1007/s11104-012-1243-2
González-Pérez, J.A., F.J. González-Vila, G. Almendros, and H. Knicker. 2004. The effect of fire on soil organic matter—a review. Environment International 30: 855–870. doi: 10.1016/j.envint.2004.02.003
Hagedorn, F., D. Spinnler, and R. Siegwolf. 2003. Increased N deposition retards mineralization of old soil organic matter. Soil Biology & Biochemistry 35: 1683–1692. doi: 10.1016/j.soilbio.2003.08.015
Halofsky, J., D. Donato, D. Hibbs, J. Campbell, M. Cannon, J. Fontaine, J. Thompson, R. Anthony, L. Kayes, B. Law, D. Peterson, and T. Spies. 2010. Mixed-severity fire regimes: lessons from the Klamath-Siskiyou ecoregion. Ecosphere 2(4): Article 40.
Hamman S.T., I.C. Burke, and M.E. Stromberger. 2007. Relationships between microbial community structure and soil environmental conditions in a recently burned system. Soil Biology and Biochemistry 39: 1703–1711. doi: 10.1016/j.soilbio.2007.01.018
Hann, W., A. Shlisky, D. Havlina, K. Schon, S. Barrett, T. DeMeo, K. Pohl, J. Menakis, D. Hamilton, J. Jones, and M. Levesque. 2004. Interagency fire regime condition class guidebook. Interagency and The Nature Conservancy fire regime condition class website. US Department of Agriculture, Forest Service; US Department of the Interior, The Nature Conservancy; and Systems for Environmental Management. <http://www.frcc.gov/>. Accessed 15 February 2013.
Harma, K., and P. Morrison. 2003a. Analysis of vegetation mortality and prior landscape condition, 2002 Biscuit Fire complex. Pacific Biodiversity Institute, Winthrop, Washington, USA.
Harma, K., and P. Morrison. 2003b. Assessment of the 2002 Biscuit Fire complex in southwest Oregon and landscape condition of the fire area. Pacific Biodiversity Institute, Winthrop, Washington, USA.
Hart, S.C., T.H. DeLuca, G.S. Newman, M.D. MacKenzie, and S.I. Boyle. 2005. Post-fire vegetative dynamics as drivers of microbial community structure and function in forest soils. Forest Ecology and Management 220: 166–184. doi: 10.1016/j.foreco.2005.08.012
Hernández, T., C. García, and I. Reinhardt. 1997. Short-term effect of wildfire on the chemical, biochemical and microbiological properties of Mediterranean pine forest soils. Biology and Fertility of Soils 25(5): 109–116.
Homann, P.S., B.A. Caldwell, H.N. Chappell, P. Sollins, and C.W. Swanston. 2001. Douglas-fir soil C and N properties a decade after termination of urea fertilization. Canadian Journal of Forest Research 31: 2225–2236. doi: 10.1139/x01-162
Hua, Q., and M. Barbetti. 2004. Review of tropospheric bomb 14C data for carbon cycle modeling and age calibration purposes. Radiocarbon 46: 1273–1298.
IPCC [Intergovernmental Panel on Climate Change]. 2007. Summary for policymakers. Pages 7–22 in: Climate change 2007: impacts, adaptation and vulnerability. Contribution of Working Group II to the fourth assessment report of the Intergovernmental Panel on Climate Change. M.L. Parry, O.F. Canziani, J.P. Palutikof, P.J. van der Linden, and C.E. Hanson, editors. Cambridge University Press, England, United Kingdom.
Irvine, J., B.E. Law, and K. Hibbard. 2007. Post-fire carbon pools and fluxes in semi-arid ponderosa pine in central Oregon. Global Change Biology 13: 1748–1760. doi: 10.1111/j.1365-2486.2007.01368.x
Johnson, D.W., and P.S. Curtis. 2001. Effects of forest management on soil C and N storage: meta-analysis. Forest Ecology and Management 140: 227–238. doi: 10.1016/S0378-1127(00)00282-6
Johnson, D., J.D. Murphy, R.F. Walker, D.W. Glass, and W.W. Miller. 2007. Wildfire effects on forest carbon and nutrient budgets. Ecological Engineering 31: 183–192. doi: 10.1016/j.ecoleng.2007.03.003
Kashian, D.M., W.H. Romme, D. Tinker, M.G. Turner, and M.G. Ryan. 2013. Post-fire changes in forest carbon storage over a 300-year chronosequence of Pinus contorta-dominated forests. Ecological Monographs 83:49–66. doi: 10.1890/11-1454.1
Kloster, S., N.M. Mahowald, J.T. Randerson, P.E. Thornton, F.M. Hoffman, S. Lvis, P.J. Lawrence, J.J. Feddema, D.W. Oleson, and D.M. Lawrence. 2010. Fire dynamics during the 20th century simulated by the Community Land Model. Biogeosciences 7: 1877–1902. doi: 10.5194/bg-7-1877-2010
Knicker, H. 2007. How does fire affect the nature and stability of soil organic nitrogen and carbon? A review. Biogeochemistry 85: 91–118. doi: 10.1007/s10533-007-9104-4
Lal, R. 2004. Soil carbon sequestration impacts on global climate change and food security. Science 304: 1623–1627. doi: 10.1126/science.1097396
LeBauer, D.S., and K.K. Treseder. 2008. Nitrogen limitation of net primary productivity in terrestrial ecosystems is globally distributed. Ecology 89: 371–379. doi: 10.1890/06-2057.1
Levin, I., and B. Kromer. 2004. The tropospheric 14CO2 level in mid-latitudes of the Northern Hemisphere (1959–2003). Radiocarbon 46(3): 1261–1272.
Littell, J.S., D. McKenzie, D.L. Peterson, and A.L. Westerling. 2009. Climate and wildfire area burned in western US ecoprovinces, 1916–2003. Ecological Applications 19: 1003–1021. doi: 10.1890/07-1183.1
Mack, M.C., M.S. Bret-Harte, T.N. Hollingsworth, R.R. Jandt, E.A.G. Schuur, G.R. Shaver, and D.L. Verbyla. 2011. Carbon loss from an unprecedented Arctic tundra wildfire. Nature 475: 489–492. doi: 10.1038/nature10283
Moritz, M.A., M.-A. Parisien, E. Batllori, M.A. Krawchuk, J. Van Dorn, D.J. Ganz, and K. Hayhoe. 2012. Climate change and disruptions to global fire activity. Ecosphere 3(6): 1–22. doi: 10.1890/ES11-00345.1
Nave, L.E., E.D. Vance, C.W. Swanston, and P.S. Curtis. 2011. Fire effects on temperate forest soil C and N storage. Ecological Applications 21: 1189–1201. doi: 10.1890/10-0660.1
Neff, J.C., A.R. Townsend, G. Gleixner, S.J. Lehman, J. Turnbull, and W.D. Bowman. 2002. Variable effects of nitrogen additions on the stability and turnover of soil carbon. Nature 419: 915–917. doi: 10.1038/nature01136
Oleson, K.W., D.M. Lawrence, G.B. Bonan, M.G. Flanner, and E. Kluzek. 2010. Technical description of version 4.0 of the Community Land Model (CLM). <http://nldr.library.ucar.edu/repository/collections/TECH-NOTE-000-000-000-848>. Accessed 12 November 2012.
Plante, A.F., J.M. Fernández, and J. Leifeld. 2009. Application of thermal analysis techniques in soil science. Geoderma 153: 1–10. doi: 10.1016/j.geoderma.2009.08.016
Reich, P.B., S.E. Hobbie, T. Lee, D.S. Ellsworth, J.B. West, D. Tilman, J.M.H. Knops, S. Naeem, and J. Trost. 2006. Nitrogen limitation constrains sustainability of ecosystem response to CO2. Nature 440: 922–925. doi: 10.1038/nature04486
Reimer, P.J., T.A. Brown, and R.W. Reimer. 2004. Discussion: reporting and calibration of postbomb C-14 data. Radiocarbon 46: 1299–1304.
Schmidt, M.W.I., J.O. Skjemstad, and C. Jäger. 2002. Carbon isotope geochemistry and nanomorphology of soil black carbon: black chernozemic soils in central Europe originate from ancient biomass burning. Global Biogeochemical Cycles 16: 1123–1139. doi: 10.1029/2002GB001939
Schulze, E.D., J. Lloyd, F.M. Kelliher, C. Wirth, C. Rebmann, B. Luhker, M. Mund, A. Knohl, I. M. Milyudova, W. Schulze, W. Ziegler, A.B. Varlagin, A.F. Sogachev, R. Valentini, S. Dore, S. Grigoriev, O. Kolle, M.I. Panfyorov, N. Tchebakova, and N.N. Vygodskaya. 1999. Productivity of forests in the Eurosiberian boreal region and their potential to act as a carbon sink—a synthesis. Global Change Biology 5: 703–722. doi: 10.1046/j.1365-2486.1999.00266.x
Skjemstad, J.O., P. Clarke, J.A. Taylor, J.M. Oades, and S.G. McClure. 1996. The chemistry and nature of protected carbon in soil. Australian Journal of Soil Research 34: 251–271. doi: 10.1071/SR9960251
Smith, J. 2000. Wildland fire in ecosystems: effect of fire on fauna. USDA Forest Service General Technical Report RMFS-GTR-42-Vol. 1, Rocky Mountain Research Station, Fort Collins, Colorado, USA.
Smithwick, E.A.H., M.G. Turner, M.C. Mack, and F.S. Chapin III. 2005. Postfire soil N cycling in northern conifer forests affected by severe, stand-replacing wildfires. Ecosystems 8: 163–181. doi: 10.1007/s10021-004-0097-8
Smithwick E.A.H., D.M. Kashian, M.G. Ryan, and M.G. Turner. 2009. Long-term nitrogen storage and soil nitrogen availability in post-fire lodgepole pine ecosystems. Ecosystems 12: 792–806. doi: 10.1007/s10021-009-9257-1
Sollins, P., G. Spycher, and C.A. Glassman. 1984. Net nitrogen mineralization from light- and heavy-fraction forest soil organic matter. Soil Biology and Biochemistry 16: 31–37. doi: 10.1016/0038-0717(84)90122-6
Strickland, T.C., and P. Sollins. 1987. Improved method for separating light-fraction and heavy-fraction organic material from soil. Soil Science Society of America Journal 51: 1390–1393. doi: 10.2136/sssaj1987.03615995005100050056x
Stuiver, M., and H.A. Polach. 1977. Discussion: reporting of 14C data. Radiocarbon 19: 355–363.
Sun, O.J., J. Campbell, B.E. Law, and V. Wolf. 2004. Dynamics of carbon stocks in soils and detritus across chronosequences of different forest types in the Pacific Northwest, USA. Global Change Biology 10: 1470–1481. doi: 10.1111/j.1365-2486.2004.00829.x
Swanston, C., P.S. Homann, B.A. Caldwell, D.D. Myrold, L. Ganio, and P. Sollins. 2004. Long-term effects of elevated nitrogen on forest soil organic matter stability. Biogeochemistry 70: 229–252. doi: 10.1023/B:BIOG.0000049341.37579.86
Swanston, C., M. Torn, P. Hanson, J. Southon, C. Garten, E.M. Hanlon, and L. Ganio. 2005. Initial characterization of processes of soil carbon stabilization using forest stand-level radiocarbon enrichment. Geoderma 128: 52–62. doi: 10.1016/j.geoderma.2004.12.015
Thompson, J.R., T.A. Spies, and L.M. Ganio. 2007. Re-burn severity in managed and unmanaged vegetation in a large wildfire. Proceedings of the National Academy of Sciences USA 104(25): 10743–10748. doi: 10.1073/pnas.0700229104
Torn, M.S., C.W. Swanston, C. Castanha, and S. Trumbore. 2009. Storage and turnover of organic matter in soil. Pages. 219–272 in: P.M. Huang and N. Senesi, editors. Biophysicochemical processes involving natural nonliving organic matter in environmental systems. Wiley, Hoboken, New Jersey, USA.
Trumbore, S.E. 1993. Comparison of carbon dynamics in tropical and temperate soils using radiocarbon measurements. Global Biogeochemical Cycles 7: 275–290. doi: 10.1029/93GB00468
University Corporation for Atmospheric Research. 2013. Community Earth System Model home page. <www.cesm.ucar.edu/index.html>. Accessed 23 May 2013.
van der Werf, G.R., D.C. Morton, R.S. DeFries, J.G.J. Olivier, P.S. Kasibhatla, R.B. Jackson, G.J. Collatz, and J.T. Randerson. 2009. CO2 emissions from forest loss. Nature Geoscience 2: 737–738. doi: 10.1038/ngeo671
Vogel, J.S., J.R. Southon, and D.E. Nelson. 1987. Catalyst and binder effects in the use of filamentous graphite for AMS. Nuclear Instruments and Methods in Physics Research Section B 29: 50–56.
Wan, S., D. Hui, and Y. Lu. 2001. Fire effects on nitrogen pools and dynamics in terrestrial ecosystems: a meta-analysis. Ecological Applications 11: 1349–1365. doi: 10.1890/1051-0761(2001)011[1349:FEONPA]2.0.CO;2
Westerling, A.L., H.G. Hidalgo, D.R. Cayan, and T.W. Swetnam. 2006. Warming and earlier spring increases western US forest wildfire activity. Science 313: 940–943. doi: 10.1126/science.1128834
Westerling, A.L., M.G. Turner, E.A.H. Smithwick, W.H. Romme, and M.G. Ryan. 2011. Continued warming could transform Greater Yellowstone fire regimes by mid-21st century. Proceedings of the National Academy of Sciences of the United States of America 108: 13165–13170. doi: 10.1073/pnas.1110199108
Yermakov, Z., and D.E. Rothstein. 2006. Changes in soil carbon and nitrogen cycling along a 72-year wildfire chronosequence in Michigan jack pine forests. Oecologia 149: 690–700. doi: 10.1007/s00442-006-0474-4
This research was supported by the Office of Science (Biological and Environmental Research), US Department of Energy (DF-FG02-04ER63917, and DE-FG02-07ER64361). A portion of this work was performed under the auspices of the US Department of Energy by Lawrence Livermore National Laboratory under Contract DE-AC52-07NA27344, LLNL-JRNL-567353.
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Heckman, K., Campbell, J., Powers, H. et al. The Influence of Fire on the Radiocarbon Signature and Character of Soil Organic Matter in the Siskiyou National Forest, Oregon, USA. fire ecol 9, 40–56 (2013). https://doi.org/10.4996/fireecology.0902040
- Biscuit Fire
- density separation
- soil organic matter