**Water-Soluble Inorganic Ions in Fine Particulate Emission During Forest Fires in Chinese Boreal and Subtropical Forests: An Indoor Experiment**

**Yuanfan Ma 1, Mulualem Tigabu 1,2 , Xinbin Guo 1, Wenxia Zheng 1, Linfei Guo <sup>1</sup> and Futao Guo 1,\***


Received: 2 October 2019; Accepted: 4 November 2019; Published: 6 November 2019

**Abstract:** Understanding of the characteristics of water-soluble inorganic ions (WSI) in fine particulate matter (PM2.5) emitted during forest fires has paramount importance due to their potential effect on ecosystem acidification. Thus, we investigated the emission factors (EFs) of ten most common WSI from combustion of leaves and branches of ten dominant tree species in Chinese boreal and sub-tropical forests under smoldering and flaming combustion stages using a self-designed combustion unit. The results showed that EF of PM2.5 was three times higher for the boreal (6.83 ± 0.67 g/kg) than the subtropical forest (1.97 ± 0.34 g/kg), and coniferous species emitted 1.5 times more PM2.5 (5.35 ± 0.64 g/kg) than broadleaved species (3.45 ± 0.37 g/kg). EF of total WSI was 1.27 ± 0.08 g/kg for the boreal and 1.08 ± 0.07 g/kg for the subtropical forest and 1.28 ± 0.09 and 1.07 ± 0.06 g/kg for broadleaved and coniferous species, respectively. Individual ionic species also varied significantly between forest types and species within forest types, and K<sup>+</sup> and Cl<sup>−</sup> were the dominant ionic species in PM2.5, accounting for 25% and 30% for the boreal forest and 23% and 27% for the subtropical forest, respectively. Emissions of NO2 <sup>−</sup> and SO4 <sup>2</sup><sup>−</sup> were the lowest, accounting for 3% and 5% for the boreal forest and 4% for each of the subtropical forests, respectively. Combustion of leaves emitted significantly more ionic species (1.29 ± 0.05g/kg) than branches (1.05 ± 0.07 g/kg), and smoldering consistently emitted more ionic species (1.49 ± 0.09 g/kg) than flaming combustion (0.88 ± 0.03 g/kg). The cation to anion ratio was ≥1.0, suggesting that the particulate matter is neutral to alkalescent. As a whole, our findings demonstrate that forest fire in these regions may not contribute to ecosystem acidification despite the emission of a considerable amount of WSI during forest fires.

**Keywords:** acid rain; aerosol; biomass burning; forest fire; PM2.5

## **1. Introduction**

Forest fire releases a large volume of smoke into the atmospheric environment, accounting for up to 42% of biomass-burning particulate emissions [1]. The smoke released from biomass-burning is mainly composed of particulate matter (PM) of different aerodynamic diameter, of which PM with a diameter less than 2.5 μm (PM2.5) accounts for more than 90% of the total PM emitted from biomass combustion [2]. The PM derived from biomass-burning consists of condensed hydrocarbons, a mixture of elemental carbon and water soluble inorganic ionic species.

There is a growing concern about the emission of water-soluble inorganic ions, such as ammonium, nitrate, sulfate, and chloride, in PM emissions, as they modify the degree of acidity of the PM;

thereby resulting in acidification of ecosystems and contributing to the visibility reduction by light scattering [3,4]. Acid deposition and/or acid rain have a considerable impact on growth and productivity of forest and other ecosystems [5] by increasing foliar damage and soil acidity by acid water. The potential effects of acid rain on plants include foliar damage, disturbance to normal metabolic processes, inhibition of seed germination and seedling growth and predisposing the plants to other environmental stress factors [6,7]. Thus, characterizing water-soluble inorganic ions in atmospheric aerosol from mixed sources of emission has been a subject of many studies [3,4,8–10]. However, studies characterizing water-soluble inorganic ions in PM emitted from woody biomass burning are limited, particularly in China [11–13], where large forest fires occur annually. Given the predicted increase in the frequency and severity of forest fires in different parts of the globe as a consequence of climate change and vegetation encroachment, it is of paramount importance to understand the characteristics of water-soluble ions in PM emitted during forest fires.

Thus, the present study investigated the emissions of ten common water-soluble inorganic ions (Na<sup>+</sup>, NH4 <sup>+</sup>, K<sup>+</sup>, Mg2<sup>+</sup> and Ca2<sup>+</sup> as well as F−, Cl<sup>−</sup>, NO3 <sup>−</sup>, NO2 <sup>−</sup> and SO4 <sup>2</sup><sup>−</sup>) in PM2.5 from burning of leaves and branches of ten main tree species from boreal and subtropical forests of China under two combustion states, smoldering vis-à-vis flaming. The Chinese boreal and sub-tropical forest ecosystems are among China's four major forest management regions. The sub-tropical region, located in southern China, is an area that experiences high annual forest fire incidence, with nearly 15,000 forest fires occurring from 2000 to 2010 [14]. The Chinese boreal forest in northeastern China is prone to frequent wildfires [15,16] and has the largest average annual burned area in China, 1,300,000 ha between 1980 and 2005 [17].

The main objective of the study was to evaluate whether forest fire contributes to acidity of fine PM by characterizing the water-soluble composition of PM2.5 emitted from forest fire according to combustion condition, fuel typologies, and forest type. The study specifically addressed the following questions: (1) Does emission of water-soluble ions vary among species and between forest types? (2) Does emission of water-soluble ions vary with fuel typologies, i.e., leaves versus branches, which are the common fuels during surface fire? (3) Does emission of water-soluble ions vary with combustion state, flaming versus smoldering? and (4) Is there a relationship between anions and cations in water-soluble ions? The emission of PM2.5 has been shown to vary with tree species and combustion conditions, as more PM2.5 is emitted during the smoldering stage, leaves release more PM2.5 than branches, and conifer trees emit more PM2.5 than broad-leaved trees [13]. Thus, it was hypothesized that the emission of water-soluble inorganic ions may vary among tree species, between forest type and combustion condition.

## **2. Materials and Methods**

## *2.1. Samples and Collection of PM2.5*

A total of ten main tree species that are common in the boreal and subtropical forests of China, five from each forest type, were selected. The coniferous tree species included *Larix gmelinii* (Rupr.) Kuzen. and *Pinus sylvestris* var. mongolica Litv from the boreal forest region and *Pinus massoniana* L. and *Cunninghamia lanceolata* L. from the subtropical forest region. The broadleaved species from the boreal forest region included *Betula platyphylla* Suk., *Quercus mongolica* Fisch. ex Ledeb and *Populus davidiana* L. while those from the subtropical forest region were *Cinnamomum camphora* L., *Eucalyptus robusta* Smith, and *Phoebe bournei* (Hemsl.) Yang. Leaves and branches from these species were collected from the Nanying research station, Daxing'an mountains and the research forest of Fujian Agriculture and Forestry University in July and October, 2017, and the samples were evenly mixed and air-dried at a controlled relative humidity of 40% for three days until constant mass to avoid the confounding effect of seasonal variations in moisture and photosynthesis on the chemical composition of samples. All targeted trees were selected far away from the urban area to mitigate the influence of urban air pollutants. In addition, the branches and leaves of the same tree species were collected from different

individual trees to ensure consistency of samples, and the samples were then mixed. The branch and leaf samples were then divided into three replicates (testing samples) using a 1/1000 electronic balance (50 g per testing sample).

The indoor combustion experiments were conducted by using a self-designed biomass combustion unit (Figure 1; [18]). The combustion device consists of a combustion chamber, temperature controller, flue gas analyzer, particle analyzer and sampler, and other additional components. The Flue Gas Analyzer (Testo350, Testo Instruments International Trading Co., Ltd., Lenzkirch, Germany) determines the pollutants in the flue gas based on infrared on-line monitoring and requires calibration with standard gas before each experiment. The calibrated instrument was used to identify the background concentrations of pollutants in the combustion chamber, which were recorded and then deducted from the final results. The instrument has a recording interval of 5 s, and the sensitivity of the instrument is 0.01% for CO2 and 1 ppm for CO, CH and NOx. The fine particulate matter (PM2.5) was monitored using a particle analyzer (TSI8533, TSI Incorporated, Shoreview, MN, USA) throughout the combustion process, which works based on infrared on-line monitoring and requires calibration with standard gas. Background concentration identification is also required. The instrument has a recording interval of 5 s, and the background concentration of PM2.5 for this experiment was 0.001 mg/m3. The Deployable Particulate Sampler (DPS) System (SKC Incorporated, Eighty Four, PA, USA) is ideal for ambient and indoor air sampling of PM2.5. The system includes a fully programmable Li-Ion-powered sample pump (SKC Ltd., Dorset, UK) for 24-hour sampling. The system pump provides a constant and accurate airflow with a flow rate of 10 L/min.

**Figure 1.** Schematic diagram of the self-designed biomass burning device.

Before starting the combustion test, the temperature controller was adjusted to control the temperature of the chamber to create either smoldering or flaming conditions. The combustion status was characterized by a Modified Combustion Efficiency (MCE), defined as the ratio of CO2 to the change in CO and CO2, calculated using the following formula:

$$\text{MCE} = \frac{\Delta \text{CO}\_2}{\Delta \text{CO} + \Delta \text{CO}\_2} \tag{1}$$

A combustion stage was considered as flaming when MCE reaches 0.99 and smoldering stage when MCE is between 0.65–0.85 [19,20]. After several preliminary experiments, the smoldering temperature was controlled at around 180 ◦C and the flaming temperature at around 270 ◦C. After adding samples into the combustion chamber, the flue gas analyzer and the particle analyzer were turned on for real-time monitoring, and the concentrations of various pollutants were measured and recorded within 5 s in order to calculate the emission factor of particulate matter and correct combustion efficiency. The particle sampler was then turned on when the combustion conditions remained stable and cooled down to room temperature. Teflon-polytetrafliuoroethylene (PTFE) membrane filters (SKC Ltd., Dorset, UK) were used to collect PM2.5 during different combustion stages and were weighed before and

after sample collection using a microbalance with 1 mg sensitivity. Control experiments were also performed using blank filters. Three replicates were conducted for each sample collection and analysis.

## *2.2. Extraction and Analysis of Water-Soluble Inorganic Ions*

The concentrations of five anions (F−, Cl<sup>−</sup>, NO3 <sup>−</sup>, NO2 <sup>−</sup> and SO4 <sup>2</sup>−) and five cations (Na+, NH4 <sup>+</sup>, K+, Mg2<sup>+</sup> and Ca2<sup>+</sup>) were determined in aqueous extracts of the sample filters. To extract the water-soluble ions from the filters, the portions of the filters used for the gravimetric analysis were placed in separate 12 mL vials containing 10 mL of distilled–deionized water (18.2 MΩ resistivity). The vials were placed in an ultrasonic water bath and shaken with a mechanical shaker for 1 h to extract the ions. The extracts were filtered through 0.45 μm pore size microporous membranes, and the filtrates were stored at 4 ◦C in clean tubes before analysis.

A Dionex-1100 Ion Chromatograph (Dionex Inc., Sunnyvale, CA, USA) was used for determining both the cations and anions in the aqueous extracts of the air filters. For the cation analyses, the instrument was equipped with an IonPacCS12A column (20 mmol/L methanesulfonic acid as the eluent), while an ASRS-4num column (25 mmol/L KOH as the eluent) was used for anions. The measurements were taken under the following conditions: column temperature: 30 ◦C; flow rate: 1.0 mL/min; injection volume: 20 μL; flow precision < ± 0.1%; flow rate maximum error 0.1%. Detection limits were 4.5 mg L−<sup>1</sup> for Na+, 4.0 mg L−<sup>1</sup> for NH4 <sup>+</sup>, 10.0 mg L−<sup>1</sup> for K<sup>+</sup>, Mg2<sup>+</sup> and Ca2<sup>+</sup>, 0.5 mg L−<sup>1</sup> for F<sup>−</sup> and Cl<sup>−</sup>, 15 mg L-1 for NO2 <sup>−</sup> and NO3 <sup>−</sup>, and 20 mg L−<sup>1</sup> for SO4 <sup>2</sup>−. Standard reference materials produced by the National Research Center for Certified Reference Materials (Beijing, China) were analyzed for quality control and assurance purposes. Data from blank samples were subtracted from the corresponding sample data after analysis [21].

## *2.3. Calculation of Emission Factors for Water-Soluble Ions in PM2.5*

The emission factor (EF) of a given ion is defined as the amount of this ion emitted to the atmosphere per unit mass of fuel consumed by the fire. The emission factors of particulate matter and water-soluble ions were calculated in this study using the carbon mass balance method. The specific calculation procedure can be found in Zhang et al. [22]. The carbon mass balance method offers an advantage such that it is not necessary to collect all emitted pollutants, and the sampling position in the plume is adjustable [23].

## *2.4. Statistical Analysis*

Two-way analysis of variance (ANOVA) was performed to determine the significant differences in EF of PM2.5 and water-soluble inorganic ions (WSI) between forest types (boreal versus sub-tropical) and between species (conifer versus broadleaved), followed by least significant difference test for comparison of means. A *t*-test was performed to determine significant differences between species within each forest type and between combustion of leaves and branches as well as between smoldering and flaming stages of combustion. Correlation analysis between cations and anions was also conducted to examine the relationship between ionic species in PM2.5.

## **3. Results**

## *3.1. Emission of PM2.5 and Water-Soluble Inorganic Ions*

The EF of PM2.5 varied significantly (*p* < 0.05) between forest types and species (Table 1). The EF of PM2.5 was three times higher for the boreal (6.83 ± 0.67 g/kg) than the subtropical forest (1.97 ± 0.34 g/kg) when both coniferous and broadleaved species were burnt, and coniferous species emitted 1.5 times more PM2.5 (5.35 ± 0.64 g/kg) than broadleaved species (3.45 ± 0.37 g/kg). However, combustion of coniferous species from the boreal forest emitted more PM2.5 than the broadleaved species and species from sub-tropical forest. Similarly, the EF of WSI exhibited significant differences between forest types and species (Table 1). The EF total WSI was higher for the boreal forest (1.27 ± 0.08 g/kg) than for the subtropical forests (1.08 ± 0.07 g/kg), and combustion of broadleaved species emitted more WSI (1.28 ± 0.09 g/kg) than coniferous species (1.07 ± 0.06 g/kg). Combustion of broadleaved species from the boreal forest resulted in higher EF of WSI than the coniferous species as well as species from the subtropical forest. As a whole, the EF of WSI was higher for boreal than subtropical species. The heat of combustion of leaves and branches was 19,182 ± 294 kJ and 18,319 ± 264 kJ for coniferous and broadleaved species from the boreal region, respectively. For subtropical region, it was 19,115 ± 286 kJ and 18,054 ± 293 kJ for coniferous and broadleaved species, respectively (Table 1).

**Table 1.** Emission factors of PM2.5 (EFPM2.5) and water-soluble inorganic ions (EFWSI) released during combustion of both leaves and branches of coniferous and broadleaved species from the boreal and sub-tropical forests together with heat of combustion of fuels.


Means followed by different lower and upper case letter across the columns are significantly different between species and between the boreal and sub-tropical regions, respectively, at the 5% probability level.

With regard to the emission of individual ionic species, significant differences were observed between forest types and species for some ions (Table 2). The EF of Na+, K<sup>+</sup>, Mg2<sup>+</sup>, Ca2<sup>+</sup>, Cl<sup>−</sup> and NO3 − were higher for the boreal than subtropical forest while the EF of F<sup>−</sup> was higher for the subtropical than boreal forest. Combustion of broadleaved species emitted more Na+, Cl<sup>−</sup>, SO4 <sup>2</sup><sup>−</sup> and NO3 <sup>−</sup> than that of coniferous species. Comparison of the EF of WSI between species within each forest type (Table 3) revealed that broadleaved species from the boreal forest emitted significantly more ions, except K<sup>+</sup> and Ca2+, than coniferous species. For the subtropical forest, combustion of coniferous species resulted in higher EF of NH4 <sup>+</sup>, Mg2<sup>+</sup> and F<sup>−</sup> than broadleaved species. The dominant water-soluble ions in PM2.5 released during burning of coniferous and broadleaved species were K<sup>+</sup> and Cl−, accounting 25% and 30% for the boreal forest and 23% and 27% for the subtropical forest, respectively. Emissions of NO2 − and SO4 <sup>2</sup><sup>−</sup> were the lowest, accounting 3% and 5% for the boreal forest and 4% each for the subtropical forests, respectively. The EF of individual ionic species was in the order of K<sup>+</sup> > Cl<sup>−</sup> > Ca2<sup>+</sup> > Na<sup>+</sup> > NH4 <sup>+</sup> > Mg2<sup>+</sup> > NO3 <sup>−</sup> <sup>&</sup>gt; <sup>F</sup><sup>−</sup> <sup>&</sup>gt; NO2 <sup>−</sup> <sup>&</sup>gt; SO4 <sup>2</sup><sup>−</sup> for coniferous species from the boreal region; Cl<sup>−</sup> > K<sup>+</sup> > Ca2<sup>+</sup> > Na<sup>+</sup> > Mg2<sup>+</sup> > NH4 <sup>+</sup> > NO3 <sup>−</sup> <sup>&</sup>gt; <sup>F</sup><sup>−</sup> <sup>&</sup>gt; SO4 <sup>2</sup><sup>−</sup> <sup>&</sup>gt; NO2 <sup>−</sup> for broadleaved species from the boreal region; Cl<sup>−</sup> <sup>&</sup>gt; <sup>K</sup><sup>+</sup> <sup>&</sup>gt; <sup>F</sup><sup>−</sup> <sup>&</sup>gt; NH4 <sup>+</sup> > Ca2<sup>+</sup> > Mg2<sup>+</sup> > Na<sup>+</sup> > NO2 <sup>−</sup> <sup>&</sup>gt; SO4 <sup>2</sup><sup>−</sup> <sup>&</sup>gt; NO3 <sup>−</sup> for coniferous species from the subtropical region; and Cl<sup>−</sup> <sup>&</sup>gt; <sup>K</sup><sup>+</sup> <sup>&</sup>gt; Ca2<sup>+</sup> <sup>&</sup>gt; <sup>F</sup><sup>−</sup> <sup>&</sup>gt; SO4 <sup>2</sup><sup>−</sup> <sup>&</sup>gt; Na<sup>+</sup> <sup>&</sup>gt; NH4 <sup>+</sup> > Mg<sup>2</sup>+/NO3 <sup>−</sup> <sup>&</sup>gt; NO2 − for broadleaved species from the subtropical region.

**Table 2.** Emission factor (g/kg) of water-soluble inorganic ions in PM2.5 released during combustion of leaves and branches of coniferous and broadleaved species from the boreal and sub-tropical forests.


Means followed by different lower and upper case letters across the rows are significantly different between the boreal and sub-tropical regions and between confer and broadleaved species, respectively, at the 5% probability level.


**Table 3.** Comparison of the emission factor (g/kg) of water-soluble inorganic ions in PM2.5 released from combustion of conifer and broadleaved species within each region.

Means followed by different lower and upper case letter are significantly different between conifer and broadleaved species within the boreal and sub-tropical region, respectively, at the 5% probability level.

#### *3.2. EF of Water-Soluble Ions in Relation to Combustion of Leaves and Branches*

The EF of WSI varied significantly between combustion of leaves and branches of species group within each forest type (Figure 2). For coniferous species from the boreal region, combustion of leaves emitted more NH4 <sup>+</sup>, K<sup>+</sup>, Mg2<sup>+</sup> and Ca2<sup>+</sup> than combustion of branches, while the EF of the rest of the ions did not differ between leaves and branches. For broadleaved species from the boreal region, significantly higher NH4 <sup>+</sup>, K+, Ca2<sup>+</sup> and Cl<sup>−</sup> were emitted during combustion of leaves than branches. Combustion of leaves of coniferous species from the subtropical region emitted more Na+, K<sup>+</sup>, Mg2<sup>+</sup> and Cl<sup>−</sup> but less Ca2<sup>+</sup> than combustion of branches. For broadleaved species from the subtropical region, combustion of leaves resulted in higher EF of all water-soluble ions than the combustion of branches.

**Figure 2.** Comparison of the emission factor (g/kg) of water-soluble inorganic ions in PM2.5 between combustion of leaves and branches of each group of species within each region. Bars with asterisks (\*\* *p* < 0.01 and \* *p* < 0.05) indicate significant differences between leaves and branches of conifer and broadleaved species within the boreal and sub-tropical region at the 5% probability level.

## *3.3. EF of Water-Soluble Ions in PM2.5 Emitted During Smoldering and Flaming*

For each species group within each forest type, significant differences were observed in the EF of WSI between smoldering and flaming stages of combustion (*p* < 0.05). Generally, smoldering released more WSI than flaming for most of the species (Figure 3). Smoldering resulted in significantly higher emissions of all ionic species, except K+, than flaming for coniferous species from the boreal region while EFs for all WSI were higher during smoldering than flaming stages of combustion for broadleaved species from the boreal region. While smoldering resulted in higher EFs of all WSI, except Cl<sup>−</sup> and NO3 <sup>−</sup>, it yielded higher EFs of all WSI for coniferous species from the subtropical region.

**Figure 3.** Comparison of emission factor (g/kg) of water-soluble inorganic ions in PM2.5 between smoldering and flaming stages of combustion of leaves and branches of each group of species within each region. Bars with asterisk (\*\* *p* < 0.01, \* *p* < 0.05) indicate significant differences between leaves and branches of conifer and broadleaved species within the boreal and sub-tropical region at the 5% probability level.

## *3.4. Correlation Between Ionic Species in PM2.5*

Significant correlations were observed between ionic species in PM2.5 (Table 4). For the boreal species, there were strong correlations (r > 0.75) between Na<sup>+</sup> and SO4 <sup>2</sup><sup>−</sup> and NO2 <sup>−</sup> while the correlations between Na<sup>+</sup> and F<sup>−</sup> and NO3 <sup>−</sup> were moderate (r = 0.5–0.75). NH4 <sup>+</sup> and Mg2<sup>+</sup> were strongly correlated with SO4 <sup>2</sup><sup>−</sup>, NO3 <sup>−</sup> and NO2 <sup>−</sup> but moderately correlated with F<sup>−</sup> and Cl−. While K<sup>+</sup> had no correlation with any of the anions, Ca2<sup>+</sup> had a moderate correlation with NO3 <sup>−</sup>. For sub-tropical species, Na<sup>+</sup> was moderately correlated with NO3 <sup>−</sup> while NH4 <sup>+</sup> was strongly correlated with F−, Cl<sup>−</sup> and NO2 <sup>−</sup>. K<sup>+</sup> was moderately correlated with NO3 <sup>−</sup>, Mg2<sup>+</sup> was strongly correlated with F<sup>−</sup> but moderately correlated with Cl<sup>−</sup>, and Ca2<sup>+</sup> was strongly correlated with SO4 <sup>2</sup><sup>−</sup> but moderately correlated with the rest of the anions.


**Table 4.** Correlations between cations and anions of water-soluble inorganic ions in PM2.5 released during the burning of woody species.

\* *p* < 0.05; \*\* *p* < 0.01.

## **4. Discussion**

Our result showed regional differences in emission factors of PM2.5 and total water-soluble ions; combustion of coniferous species from the boreal region emitted more PM2.5 while combustion of broadleaved species emitted more WSI than the subtropical region (Table 1). This difference could be related to the flammability and surface area-to-volume ratio of the fuel and inter-species variation in chemical composition in the biomass. Coniferous fuels have high flammability and energy content and often result in high EFPM2.5 [24,25]. Fuels with a large surface area-to-volume ratio require less heat for ignition, thereby favoring rapid and thorough flaming combustion. This is further evidenced in the present study where the heat of combustion was significantly higher for coniferous species (19,149 kJ) than the broadleaved species (18,187 kJ) (Table 1). Thus, rapid combustion of species from the boreal region emitted a larger proportion of water-soluble ions than the subtropical region. Furthermore, significant differences in the EFWSI in particulate matter could be related to the chemical composition of the species [26–29]. The chemical composition of the biomass is influenced by nutrient biogeochemistry, which in turn varies between sites [30]. Similar emission differences in ambient smoke plumes between vegetation types were observed during controlled burning of the Brazilian cerrado vegetation and tropical rainforest [31].

The dominant ionic species in PM2.5 were K<sup>+</sup> and Cl<sup>−</sup> irrespective of the forest type and species burnt (Tables 2 and 3), which is in line with previously reported studies, which sampled smoke particles in the field and indoors [13,31,32]. The presence of K<sup>+</sup> as the major cationic species in PM2.5 is the result of primary production through volatilization of plant tissue material during the combustion process [13], and K<sup>+</sup> is often considered as a marker of biomass burning [11,12]. Emissions of all ionic species except F<sup>−</sup> was higher for the boreal than subtropical regions and emissions of Na+, Cl−, SO4 <sup>2</sup><sup>−</sup> and NO3 <sup>−</sup> were higher for broadleaved than coniferous species (Tables 2 and 3). This difference suggests that not only the species composition but also the geochemical differences between regions have an impact on the chemical composition of the fuel. Previous studies have shown that particulate matters released in smoke plumes during biomass burning were rich in K<sup>+</sup> and Cl<sup>−</sup> [30,32] and the major water-soluble inorganic ions in PM2.5 during forest fire were K+, Na<sup>+</sup>, NH4 <sup>+</sup>, Ca2+, Cl<sup>−</sup>, NO3 − and SO4 <sup>2</sup><sup>−</sup> [30,33].

Our result also showed significant differences in EFs of WSI between combustion of leaves and branches (Figure 2). Generally, combustion of leaves emitted more ionic species in PM2.5 than branches. This could be related to high flammability of leaves [25] and structural differences between leaves and branches attributed to the denser structure and higher lignin content of branches than leaves [34]. The combustion stage had also a significant effect on emissions of ionic species in PM2.5; smoldering generally emitted more WSI than flaming combustion (Figure 3). High concentrations of water-soluble ions associated with increased release of particulate matter in the smoke are emitted under limited oxidation during smoldering. Guo et al. [13] reported a similarly higher EF of ionic species in PM2.5 during smoldering than flaming combustion while Liu et al. [12] demonstrated a higher content of total water-soluble ions in particulate matter released from the burning of dry branches during smoldering compared with flaming combustion.

There were strong correlations between Na<sup>+</sup> and SO4 <sup>2</sup><sup>−</sup> and NO2 <sup>−</sup>, between NH4 <sup>+</sup> and SO4 2−, NO3 <sup>−</sup> and NO2 <sup>−</sup> as well as between Mg2<sup>+</sup> and SO4 <sup>2</sup><sup>−</sup>, NO3 <sup>−</sup> and NO2 <sup>−</sup> for species from the boreal region (Table 4). This suggests that the PM could be composed of sodium, ammonium and magnesium sulphate and nitrate during burning of boreal species, while ammonium fluoride, ammonium chloride, ammonium nitrite, potassium nitrate, magnesium fluoride and calcium sulphate were major constituents of PM during the burning of subtropical species. We also calculated the cation to anion ratio, as this is considered to be a good indicator of the acidity of the particulate matter [3]. The ratio was 1.2 for the boreal forest and 0.98 for the subtropical forest. Thus, the particulate matter released during forest fires is neutral to slightly alkaline rather than acidic. The slight increase in pH associated with wet and dry deposition of WSI on the soil surface could possibly improve availability of nutrients, particularly phosphorus which is limited in subtropical forest ecosystems due to the acidic nature of the soil and fixation by iron and aluminum [35]. This, in turn, may favor growth and productivity of forests. However, the relatively high emission of Cl<sup>−</sup> compared to other anionic species calls for attention as wet deposition of chlorides may contribute to ecosystem acidification. As a whole, the study demonstrates that forest fire plays a minor role in the emission of acidic particulate matter.

## **5. Conclusions**

Emission of PM2.5 and its water-soluble ionic component was higher in the boreal forest region than in the subtropical forest region, and coniferous species emitted more than broadleaved species. EFs of WSI were generally higher during combustion of leaves than branches and consistently higher during smoldering than during flaming combustion. The water-soluble ionic component in PM2.5 was dominated by K<sup>+</sup> and Cl<sup>−</sup> irrespective of the forest ecosystem and species. As a whole, our findings demonstrate that forest fire could contribute a considerable amount of water-soluble ions to atmospheric emission depending on the forest type and species. However, the cation to anion ratio is higher than 1.0, particularly for the boreal forest, suggesting that the particulate matter is alkalescent. Thus, forest fire in these regions may not contribute to ecosystem acidification through emissions of water-soluble ions. Our data are crucial for understanding emissions of WSI during different phases of forest fires and how different typologies of biomass can affect the profile of speciation emissions.

**Author Contributions:** Conceptualization, F.G.; methodology, F.G., Y.M., X.G., W.Z. and L.G.; validation, M.T. and F.G.; formal analysis, M.T., Y.M., X.G., W.Z. and L.G.; investigation, Y.M., X.G., W.Z. and L.G.; data curation, F.G.; writing—original draft preparation, M.T.; writing—review and editing, M.T., F.G.; visualization, Y.M.; supervision, F.G., M.T.; project administration, F.G.; funding acquisition, F.G.

**Funding:** The study was financially supported by the National Natural Science Foundation of China (Grant No. 31770697), the Asia-Pacific Network for Sustainable Forest Management and Rehabilitation (APFNet Climate Research Project) Phase II, and the Fujian Agriculture and Forestry University Funds for Distinguished Young Scholar (xjq201613).

**Acknowledgments:** We thank colleagues at the forestry college, Fujian Agriculture and Forestry University for their support during sample collection and indoor experiment.

**Conflicts of Interest:** The authors declare no conflict of interest.

## **References**


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