Soil aggregate mediates the impacts of land uses on organic carbon, total nitrogen, and microbial activity in a Karst ecosystem.

Understanding the effect of land use on soil carbon, nitrogen, and microbial activity associated with aggregates is critical for thorough comprehension of the C and N dynamics of karst landscapes/ecosystems. We monitored soil organic carbon (SOC), total nitrogen (TN), microbial biomass carbon (MBC), and Cmic: Corg ratio in large macro- (>2 mm), small macro- (0.25-2 mm), and micro- (0.053-0.25 mm) aggregates to determine the changes in soil properties under different land uses in the karst area of Southwest China. Five common land-use types-enclosure land (natural system, control), prescribed-burning land, fuel-wood shrubland, pasture and maize fields-were selected. Results showed that pasture and maize fields remarkably decreased the SOC and TN concentrations in aggregates. Conversion of natural system to other land uses decreased MBC (except for prescribed-burning) and increased Cmic: Corg ratios in aggregates. The extent of the response to land uses of SOC and TN concentrations was similar whereas that of MBC and Cmic: Corg ratios differed across the three aggregate sizes. Further, the SOC concentrations were significantly higher in macro-aggregates than micro-aggregates; the MBC and Cmic: Corg ratios were highest in small macro-aggregates. Therefore, small macro-aggregates might have more active C dynamics.

Land-cover changes derived from land uses represent a major source and component of global environment change12. Intensive land use is the most significant anthropogenic activity and causes adverse effects on soil quality, such as soil structure destruction, nutrient loss, and soil erosion3456. Moreover, land use changes can reduce soil C and N sequestration, resulting in the acceleration of greenhouse gas (n class="Chemical">CO2 anpan>d pan> class="Chemical">N2O) emissions789. Land-use changes also contribute to changes in microbial activities and biological processes that affect soil quality1011.

The characteristics of vegetation and soil properties under different land uses have been extensively studied. For instance, deforestation not only affects forest structure, species composition and diversity1213, but also reduces aboveground vegetation and litter return which directly affect soil nutrient cycling1415. Fire can bring various impact on soil properties depending on the intensity and severity161718. High-intensity fires such as many wildfires result in degradation of soil structure, n class="Disease">loss of organic matter anpan>d microbes17. However, prescribed burning may minimize such negative effects onpan> soil properties18. During manpan>agemenpan>t of pasture anpan>d croplanpan>d, aboveground planpan>t biomass harvest anpan>d soil disturbanpan>ce (sowing, weeding anpan>d tillage etc.) also influenpan>ce soil structure anpan>d reduce soil nutrienpan>t anpan>d microbial biomass1920.

Soil aggregates, the basic units of soil structure, are sensitive to land uses and mediate many chemical and biological processes in soils1921222324. According to the hierarchical model proposed by Tisdall and Oades25, free primary particles and silt-sized aggregates are bound together into micro-aggregates by persistent binding agents, oxides, and highly n class="Disease">disordered pan> class="Chemical">aluminosilicates. Furthermore, these stable micro-aggregates form macro-aggregates via temporary and transient binding agents (i.e. fungal hyphae and roots). The hierarchical order of aggregates might lead to the differences in the distribution and availability of soil organic matter (SOM)2226. Previous studies have shown that land use can affect the C and N within aggregates, and the degree of its influence depends on soil texture and management measures3427. Hence, investigating the dynamics of soil C and N associated with aggregates in various land uses is essential for thoroughly understanding the nutrient cycling process.

Soil microorganisms asn class="Chemical">sociated with aggregates play a key role in C anpan>d N dynpan>amics following cultivationpan> or other disturbanpan>ces23. Each type of aggregate represenpan>ts a differenpan>t ecological niche for microbes because of the spatial arranpan>gemenpan>t of solid particles anpan>d accessible substrates within fractionpan>2228. The microbial biomass in soil aggregates has beenpan> shownpan> to be heterogenpan>eously distributed92930; however, results have beenpan> inconpan>sistenpan>t across studies. Furthermore, the Cmic: pan> class="Chemical">Corg ratio, a microbial parameter, indicates Corg available for microbial growth31. Recent studies have shown that aggregate size determines the utilization of available C by microorganisms2230. Further, the degree of the effects of soil disturbance on microbial activity within aggregates was shown to be mediated by fraction size22. However, information on how land uses affect microbial activities associated with aggregates in fragile karst ecosystems is limited.

Karst areas account for about 12% of the Earth’s land. In China, karst landscapes are mainly distributed in the southwest regions, which are subjected to extreme environmental conditions such as rapid n class="Chemical">organic matter loss, soil degradationpan>, anpan>d rocky desertificationpan>32. Previous studies onpan> karst regionpan>s have mainly focused onpan> the C, N, anpan>d microbe levels in bulk soil, but not in aggregates3334. Henpan>ce, how lanpan>d uses affect the C, N, anpan>d microbial activity aspan> class="Chemical">sociated with aggregates in karst areas remains unclear. Understanding the influence of land uses on soil processes is critical for deciding land management strategies in the karst regions. Therefore, we chose five typical land uses (enclosure land, prescribed-burning land, fuel-wood shrubland, pasture and maize fields) in karst regions, and aimed to identify the effects of various land uses on the SOC, TN, and microbial activity (MBC and Cmic: Corg ratio) associated with aggregates. Considering different land uses had various vegetation management and soil disturbance regimes, we hypothesized that (1) conversion of the natural system to other land uses would decrease aggregate-associated SOC, TN, and microbial activity, and the extent of land-use effects would differ across the three sizes of aggregates; (2) SOC and TN concentrations and microbial activity would be higher in macro-aggregates as indicated by the aggregate hierarchical model; (3) different land uses would affect SOC, TN and microbial activity via various directly or indirectly pathways.

Results

Size distribution of water-stable aggregates

Large macro-aggregates represented the greatest fraction for all land uses, whereas micro-aggregates represented the lowest proportion (Table 1). The level of large macro-aggregates was significantly lower in the prescribed-burning land (54.95%) and n class="Species">maize field (53.94%) thanpan> in the enpan>closure lanpan>d (72.77%). Small macro-aggregates were signpan>ificanpan>tly higher in the prescribed-burning lanpan>d, pasture, anpan>d pan> class="Species">maize field (32.38%, 22.65%, and 30.29%, respectively). Compared with enclosure land, other four land uses had no significantly difference in micro-aggregates (P > 0.05).

Table 1

Aggregate size distribution (%) of soils under different land uses.

Type	Aggregate size (mm)
	>2	2–0.25	0.25–0.053
Enclosure land	72.77 ± 1.84 a	14.35 ± 2.77 c	1.69 ± 0.32 a
Prescribed-burning land	54.95 ± 3.59 b	32.38 ± 2.06 a	5.14 ± 1.47 a
Fuel-wood shrubland	69.66 ± 1.03 a	16.56 ± 0.98 c	2.05 ± 0.17 a
Pasture field	62.20 ± 3.74 ab	22.65 ± 2.00 b	4.16 ± 2.08 a
Maize field	53.94 ± 6.62 b	30.29 ± 5.24 ab	6.12 ± 2.35 a

Values are mean ± standard error. Values with different letters in a column indicate significant differences (analysis of variance; P < 5%) within the same aggregate.

SOC and TN concentrations within soil aggregates

According to the two-way ANOVA, land uses and soil aggregate sizes significantly affected n class="Chemical">SOC anpan>d pan> class="Chemical">TN concentrations within soil aggregates (Table 2). Enclosure land had the highest SOC and TN concentrations in the three sizes of aggregates and bulk soil, followed by prescribed-burning land and fuel-wood shrubland, and pasture and maize field had relatively lower SOC and TN concentrations (Fig. 1). However, the SOC and TN concentrations in prescribed-burning land and fuel-wood shrubland were not significantly different from those in the enclosure land (P > 0.05); their concentrations were significantly lower in pasture and maize fields. Further, the SOC concentration in micro-aggregates was remarkably lower than that in macro-aggregates.

Table 2

Two-way ANOVA for effects of land use and aggregate size on SOC, TN concentration and stock, MBC and Cmic: Corg ratio within soil aggregates.

	Land use		Aggregate size		Land use × Aggregate size
	F	P	F	P	F	P
Aggregate-associated SOC concentration	20.95	<0.001	9.25	0.001	0.32	0.952
Aggregate-associated TN concentration	18.25	<0.001	6.02	0.006	0.10	0.999
Aggregate-associated SOC stock	10.44	<0.001	337.91	<0.001	12.67	<0.001
Aggregate-associated TN stock	7.11	<0.001	433.68	<0.001	12.30	<0.001
Aggregate-associated MBC	10.00	<0.001	9.22	0.001	1.06	0.416
Aggregate-associated Cmic: Corg ratio	5.97	0.001	4.66	0.017	2.04	0.075

Figure 1

Soil organic carbon (SOC) (a) and total nitrogen (TN) (b) concentrations in the three sizes of soil aggregates and in bulk soil of different land uses. Values are means of three replicates (± standard error). Different lowercase letters indicate significant differences among land uses for each size of soil aggregate and for bulk soil. Different uppercase letters indicate significant differences among the three sizes of soil aggregates.

SOC and TN stocks within soil aggregates

Land uses and soil aggregate sizes significantly affected n class="Chemical">SOC anpan>d pan> class="Chemical">TN stocks within soil aggregates (Table 2). And the interaction between land uses and aggregate sizes was also remarkable. Large macro-aggregates comprised the major SOC and TN pools regardless of the land uses (Fig. 2). They contained 18.35–44.59 g C · kg−1 soil and 1.51–2.99 g N · kg−1 soil, accounting for 58.76–82.54% of SOC and 59.68–81.92% of TN. Further, the micro-aggregates had the lowest SOC and TN pool regardless of land uses. In general, our results showed that SOC and TN stocks in large macro-aggregates significantly decreased when the natural vegetation was converted to other land uses. In small macro-aggregates, the SOC and TN stocks in prescribed-burning land were higher by 8.96 g · kg−1 and 0.68 g · kg−1 than those in the enclosure land, respectively. The SOC and TN stocks in micro-aggregates were not remarkably different across the land uses (P > 0.05).

Figure 2

Soil organic carbon (SOC) (a) and total nitrogen (TN) (b) stocks in the three sizes of soil aggregates and in bulk soil of different land uses. Values are means of three replicates (± standard error). Different lowercase letters indicate significant differences among land uses for each size of soil aggregate and for bulk soil. Different uppercase letters indicate significant differences among the three sizes of soil aggregates.

Microbial biomass C within soil aggregates

Land uses and soil aggregate sizes significantly affected n class="Disease">MBC within soil aggregates, respectively (Table 2). pan> class="Disease">MBC in aggregates and bulk soil in other land uses (except for prescribed-burning) decreased compared with that in enclosure land (Fig. 3a). Further, the maize field had the lowest MBC. Moreover, the MBC in small micro-aggregates of prescribed-burning land (1850.62 mg · kg−1) was significantly higher than that of enclosure land (1219.90 mg · kg−1). The pasture and maize fields had much lower MBC in micro-aggregates (623.36 mg · kg−1 and 514.30 mg · kg−1, respectively) than in prescribed-burning land (1191.05 mg · kg−1). However, the MBC in large macro-aggregates did not differ significantly among all land uses. In the three aggregates, MBC was the highest in small macro-aggregates, followed by large macro-aggregates and micro-aggregates.

Figure 3

Microbial biomass carbon (MBC) (a) and the Cmic: Corg ratios (b) of the three sizes of soil aggregates and bulk soil of different land uses. Values are means of three replicates (± standard error). Different lowercase letters indicate significant differences among land uses for each size of soil aggregate and for bulk soil. Different uppercase letters indicate significant differences among the three sizes of soil aggregates.

Cmic: Corg ratios within aggregates

Land uses and soil aggregate sizes significantly affected the Cmic: n class="Chemical">Corg ratios within soil aggregates, respectively (Table 2). The Cmic: pan> class="Chemical">Corg ratios ranged between 1.71% and 3.44% in our study (Fig. 3b). Compared to enclosure land, the ratios in other land uses increased in aggregates and bulk soil. The highest Cmic: Corg ratio (3.44%) was observed in small macro-aggregates from prescribed-burning land; this ratio was significantly higher than that of enclosure, fuel-wood shrubland, and maize field (2.01%, 2.17%, and 2.01%, respectively). However, no significant differences in the Cmic: Corg ratios in large macro-aggregates were identified for all land uses (P > 0.05). Among the three aggregates, small macro-aggregates had the highest Cmic: Corg ratios, followed by micro-aggregates; large macro-aggregates had the lowest ratio.

Principal components analysis

Two principal components (PCs) with eigenvalues of >1 were extracted from the soil n class="Chemical">water-stable aggregates (WSAs), soil nutrienpan>t status (pan> class="Chemical">SOC, TN), and microbial activity (Table 3). The highest component loadings of the first PC (49.55% of total variance) included water-stable aggregates that indicated the soil physical structure. The second PC (36.78% of total variance) was related to SOC, TN, and MBC, which reflected soil biochemical variables. ANOVA results showed that the first PC of enclosure land differed from that of prescribed-burning land and maize field (P < 0.05), indicating that these two land uses could change soil physical structure more easily. Further, the second PC of pasture and maize fields was remarkably different from that of enclosure land, indicating that forage and crop cultivation had a marked impact on soil biochemical properties.

Table 3

Principal components and component loadings extracted from the variables.

Variables	Principal components (PCs)
	1	2
Large macro-aggregate	−0.954	0.126
Small macro-aggregate	0.934	−0.054
Micro-aggregate	0.894	−0.232
SOC	−0.213	0.945
TN	−0.194	0.948
MBC	0.295	0.922
Cmic: Corg ratio	0.736	0.187

Discussion

n class="Disease">Soil aggregation is commonpan>ly facilitated by vegetationpan> restorationpan> caused by pan> class="Chemical">SOC return35. Our study showed that enclosure land facilitated the formation of large macro-aggregates (>2 mm). Pasture field also had a comparatively high level of large macro-aggregates because of the strong plant root systems that are beneficial for soil aggregation36. Prescribed-burning land showed a lower amount of large macro-aggregates, probably because of the extreme heat that destroyed soil aggregates. Intra-aggregate water is vaporized when burning takes place, and the increased pressure causes the internal bonds to rupture, leading to aggregate breakdown24. Moreover, maize field had the lowest amount of large macro-aggregates. Physical disturbance resulting from tillage might be responsible for breakage of the large aggregates19.

Our study showed that macro-aggregates (>0.25 mm) were dominant in n class="Chemical">water-stable aggregates in all land uses, which is consistent with the results of Liao et al.37, who also conducted a study in the karst region. In addition, macro-aggregate quantity was markedly influenced by land uses, whereas micro-aggregates were more stable than macro-aggregates (Table 1). Previous studies have shown that macro-aggregates are vulnerable to soil disturbance because their transient and temporary binding agents such as roots and mycelia are sensitive to disturbance338.

Consistent with our first hypothesis, conversion of enclosures to other land uses deceased n class="Chemical">SOC anpan>d pan> class="Chemical">TN concentrations in aggregates and bulk soil (Fig. 1, Table 2). However, aggregate-associated SOC and TN concentrations did not decrease significantly in prescribed-burning land and fuel-wood shrubland (P > 0.05). With regard to prescribed-burning land, the lack of a significant change may be due to conversion of aboveground biomass C to surface soil C by fire18. Another explanation is that pyrogenic carbon produced from combustion is resistant to degradation39. SOC and TN concentrations associated with aggregates in agricultural land uses (pasture and maize fields) were remarkably reduced, which was consistent with the results of Udom and Ogunwole40. In agricultural ecosystems, decreases in SOC are mainly induced by frequent soil disturbance (e.g. tillage, fertilization, and weed control) and crop removal20.

In contrast to the predictions of our hypothesis, the magnitude of land-use effects on n class="Chemical">SOC anpan>d pan> class="Chemical">TN concentrations was the same for all three sizes of aggregates. However, other studies have reported that these extents were less pronounced in micro-aggregates than in macro-aggregates5. They considered that SOM in micro-aggregates was more stable owing to the persistent binding agents (oxides and highly disordered aluminosilicates). However, calcareous soil in the karst region has high contents of calcium and clay, and SOM in the micro-aggregates might be immobilized by Ca2 (acting as a cationic bridge)41. Disturbance-induced soil Ca2+ and clay loss might be accompanied by SOM decrease in the karst area32. This might explain why the magnitude of land-use impact on SOC and TN concentrations in micro-aggregates was the same as that in macro-aggregates. In addition, the SOC concentration was significantly higher in macro-aggregates than in micro-aggregates (Fig. 1, Table 2), which was consistent with our second hypothesis and similar with the findings of previous studies404142. Further, this is in accordance with the hierarchical model that macro-aggregates consist of micro-aggregates and transient and temporary organic binding agents (i.e. fungal hyphae and roots)25.

Our results showed that large macro-aggregates (>2 mm) dominated the n class="Chemical">SOC anpan>d pan> class="Chemical">TN storage of aggregates in all land uses; this was caused by the large number of macro-aggregates rather than the SOC and TN concentrations. Moreover, the SOC and TN stocks in large macro-aggregates were significantly reduced after the conversion of natural system to other land uses. The SOC and TN stocks in smaller fraction sizes were not significantly different across all land uses (except for prescribed-burning). The results indicated that the SOC and TN of bulk soil were primarily lost by the decreases of SOC and TN stocks in large macro-aggregates. The significant reduction of SOM stock in large macro-aggregates in the maize field was attributed to both the aggregate fraction (>2 mm) quantity and SOM concentrations within the fraction (Table 1, Fig. 1), which was consistent with the results of Qiu et al.27. Periodic fires caused marked alterations in SOC and TN stocks from large to small macro-aggregates owing to the destruction of large aggregates.

Soil n class="Disease">MBC genpan>erally decreases whenpan> natural systems are disturbed or conpan>verted to other lanpan>d uses243. This is conpan>sistenpan>t with our results that pan> class="Disease">MBC in aggregates and bulk soil decreased in other land uses (except for prescribed-burning; Fig. 3a), because natural vegetation contains plant litters that supply C inputs and reduces water and heat exchange2. Moreover, natural systems have good physical structure without soil disturbance. These factors contribute to the maintenance of a suitable microenvironment for microbial population. However, our result showed prescribed-burning increased the MBC, which was inconsistent with results of a meta-analysis44. One possible explanation for this is that soil samples were collected only a few days after prescribed fire in our study. The NH4+-N concentration and total microbial biomass might increase in a short time after burning45. Low Cmic: Corg ratio in soil under intensive cultivation is an indicator of soil degradation after conversion from natural to agricultural systems246. However, our results showed that enclosure land had the lowest Cmic: Corg ratio in aggregates and bulk soil, and that prescribed-burning and pasture fields had relatively high Cmic: Corg level (Fig. 3b). However, enclosure land had many large macro-aggregates that caused more SOC and relatively lower microbes. Planting crops decreased both the MBC and SOC, but the reduction of SOC was more than that of MBC that led to the high Cmic: Corg. The elevated MBC after prescribed burning was the main cause for the increase in Cmic: Corg.

Land uses have great impacts on microbial activity (n class="Disease">MBC anpan>d Cmic: pan> class="Chemical">Corg ratio) in small macro-aggregates and micro-aggregates, but not in large macro-aggregates (Fig. 3b). This is mainly because the large radius of large aggregates could limit the O2 concentration and gas diffusion required by microbes2330. Thus, large macro-aggregates might diminish the impacts of land uses and facilitate the maintenance of a stable microbial biomass. In addition, the highest MBC was found in small macro-aggregates (0.25–2 mm) regardless of land uses (Fig. 3a). Previous studies have shown that soil aggregate size exerts strong impacts on microbial activity, and that microbial biomass is heterogeneously distributed among aggregates293047. A similar result was obtained by Jiang et al.30, who found that the highest MBC appeared in 1–2 mm fractions. Two possible explanations can be suggested: first, small macro-aggregates have more SOC and TN for microbial growth than micro-aggregates (Fig. 1); second, soil microorganisms live in aggregate pores or at their surfaces, and small macro-aggregates have a more suitable radius and higher surface area than large macro-aggregates48. Moreover, our results showed that large macro-aggregates had significantly lower Cmic: Corg ratio than small macro-aggregates (Fig. 3b). The Cmic: Corg ratio indicated that Corg was available for microbial growth31. Our results suggested that large aggregates limited SOC availability by microbes, and medium size of aggregates was the most suitable for SOC utilization.

Taken together, our findings suggested that five land uses affect soil physical and biochemical properties to different degrees through various pathways (Table 3 and Fig. 4). Without soil disturbance, the fuel-wood land had no significant change in soil physical structure compared to enclosure. And fuel-wood harvest did not remarkable altered the soil biochemical properties, which might indicate aboveground vegetation removal in a low frequency was n class="Disease">insufficient to induce signpan>ificanpan>t chanpan>ges of soil properties. The soil biochemical status of other three lanpan>d uses was influenpan>ced both by vegetationpan> variety anpan>d indirectly by aggregate compositionpan> alterationpan> owing to soil disturbanpan>ce. Prescribed-burning reduced the nutrienpan>t return from vegetationpan> anpan>d brought about the fragmenpan>tationpan> of aggregates. However, pyrogenpan>ic pan> class="Chemical">carbon formed by combustion decreased the loss of soil C and N owing to aggregate rupture39. Poor soil biochemistry of maize field was caused by both aboveground biomass harvest and soil physical disturbance derived from cultivation. Aggregate breakage due to physical perturbation may lead to the mineralization and loss of large amount of free organic carbon and nitrogen19. The reduction process of soil nutrient in pasture field was similar with maize. But because of strong root system, the pasture could maintain relatively good soil physical structure36.

Figure 4

Principal component analysis (PCA) of water-stable aggregates, soil organic carbon, total nitrogen, and microbial activity in the five land use types.

Error bars represent the standard error of the means.

Conclusions

The amount of large macro-aggregates was significantly lower in prescribed-burning and n class="Species">maize field, anpan>d the effects of lanpan>d uses onpan> macro-aggregate quanpan>tity were stronpan>ger thanpan> those onpan> micro-aggregate quanpan>tity. The conpan>versionpan> of natural systems to other lanpan>d uses decreased the pan> class="Chemical">SOC and TN concentrations in aggregates and bulk soil. Maize and pasture fields showed significant reduction in these parameters, and their loss of soil C and N were mainly attributed to the reduction of SOC and TN stocks in the large macro-aggregates. The response degree of SOC and TN concentrations to land uses was similar across the three sizes of soil aggregates. As expected from the hierarchical model, SOC concentration was significantly higher in macro-aggregates than micro-aggregates.

The conversion of natural vegetation to other land uses decreased the n class="Disease">MBC (except for prescribed-burning) anpan>d increased the Cmic: pan> class="Chemical">Corg ratios in aggregates and bulk soil. The impact of land use on microbial activity was less pronounced in large macro-aggregates. In addition, the MBC and Cmic: Corg ratios were the highest in small macro-aggregates, which might indicate that the medium fraction contained more available SOM and was better suited for microorganism growth. Hence, our results suggested that the conversion of natural vegetation to the four land uses reduced not only large macro-aggregate quantity but also SOC and TN concentrations and MBC in aggregates as well as in bulk soil. Additionally, the magnitude of the response of microbial activity to land uses was different across the three sizes of aggregates. Small macro-aggregates had higher SOC, TN concentrations, and microbial activity, suggesting more active C and N dynamics. These findings suggested that aggregate size should be explicitly considered to determine the impact of management practices on soil quality, and provided theoretical basis for deciding reasonable land use for conservation and ecological restoration in the karst region.

Materials and Methods

Site description and experimental design

This study was performed at the Huanjiang Observation and Research Station for Karst Ecosystems (107°51′–108°43′E, 24°44′–25°33′N), Chinese Academy of Sciences (GAS), Guangxi Province, China (Fig. 5). The climate is subtropical monsoon with distinct wet (from April to September) and dry (from October to March) seasons. The mean annual temperature and precipitation are 18.5 °C and 1,380 mm, respectively36. The soil developed from a n class="Chemical">dolostone base anpan>d is calcareous49.

Figure 5

Map of region and field area.

(a) Location map of Huanjiang County within the Guangxi Province, China. (b) Location map of the studied catchment within the Huangjiang County. (c) Location of long-term observation field. (d) The layout of sampled land use plots. (a–c maps were created by ArcGIS 9.3 URL: http://www.esrichina.com.cn/softwareproduct/ArcGIS/; (d) photo were taken by Wei Luo & Xianli Xu using aerial instrument DJI Phantom 3 URL: http://www.dji.com/cn/products/phantom-3. Here we appreciate their supply).

The experiment site was formerly used as cultivated land that was fallow after 1985, when the residents relocated. Through 21 years the natural vegetation had been restored, and the common plant species included Sapium rotundifolium, n class="Species">Vitex negundo, anpan>d pan> class="Species">Artemisia hedinii. At the end of 2006, adjacent and relatively homogeneous areas with similar topography and slope were selected, and five kinds of long-term observation fields (enclosure land, prescribed-burning land, fuel-wood shrubland, pasture, and maize field) were established. All the land use types have similar physiographic conditions and slope gradients. We therefore assume that the soils in the five land use types had similar initial conditions. Three replicated plots (20 m × 20 m) were established within each land use treatment. In the prescribed-burning land, burning was usually implemented once a year in December, and aboveground vegetation was completely burned off. The plants in fuel-wood shrubland were logged and removed without root disturbance in December. The pasture field was used to grow a perennial hybrid napier grass (Pennisetum hybridum). Basal fertilizer was applied annually after the pasture became green (45 kg N, 45 kg P2O5, and 45 kg K2O · hm−2). The pasture field was mowed every four months, but not ploughed. The maize field was fertilized with N, P, and K at 160, 90, and 90 kg · hm−2, respectively, in the growing period. As a control, enclosure lands retained intact vegetation without any soil disturbance. The soil properties are shown in Table 4.

Table 4

Soil properties under different land uses.

Type	Available N (mg kg−1)	Available P (mg kg−1)	Available K (mg kg−1)	pH	Mechanical composition (%)
					Clay (%)	Silt (%)	Sand (%)
Enclosure land	643.61 ± 64.02	6.74 ± 1.25	60.35 ± 8.07	8.21 ± 0.07	29.66 ± 3.42	26.07 ± 0.42	44.27 ± 3.02
Prescribed-burning land	630.97 ± 38.41	7.23 ± 0.97	53.92 ± 9.57	8.33 ± 0.06	30.83 ± 0.65	22.14 ± 2.78	47.04 ± 3.10
Fuel-wood shrubland	721.39 ± 38.74	8.16 ± 1.02	47.47 ± 6.64	8.28 ± 0.02	27.64 ± 2.11	21.53 ± 0.87	50.83 ± 2.91
Pasture field	503.61 ± 5.14	11.32 ± 0.51	63.97 ± 4.36	8.08 ± 0.03	27.03 ± 6.78	33.12 ± 3.74	39.84 ± 3.06
Maize field	645.75 ± 79.45	14.32 ± 7.17	76.18 ± 6.45	8.22 ± 0.18	36.15 ± 5.31	30.14 ± 1.68	33.71 ± 5.25

Values are mean ± standard error.

Soil sampling and aggregate fractionation

All surface soil (0–15 cm) samples were collected from each plot in January 2014. One undisturbed soil sample was taken in separate n class="Disease">pits (15 cm height × 20 cm length × 20 cm width) after the residue was removed. According to “S” type, five samples were collected from each plot and mixed together to obtain one sample for the replicate. The microbes were preserved by storing the samples under cooled conditions (4 °C) before further preparation. Visible roots, organic residues, and stone fragments were removed manually. Soil samples were gently crushed and divided into two portions: one was passed through an 8-mm sieve for determining aggregate-size distribution and fractionation, and the other one was passed through a 2-mm sieve for the determining the soil bulk properties.

Soil water-stable aggregates (WSAs) were fractionated using a wet-sieving procedure3050. Field-moist soil was immersed in water on a set of three nested sieves (2, 0.25, and 0.053 mm) and shaken vertically at 3 cm for 50 times for 2 min. The aggregates retained on each sieve were collected. The soil aggregates were separated as large macro-aggregates (>2 mm), small macro-aggregates (0.25–2 mm), and micro-aggregates (0.053–0.25)921. Bulk soil samples and separated aggregates were analysed for biochemical characteristics.

Microbial and chemical analyses

n class="Chemical">SOC was measured by the Walkley-Black wet-chemical oxidationpan> method51. pan> class="Chemical">TN was determined with an Element Auto-Analyser (Vario MAX CN; Elementar, Hanau, Germany). Stock calculated as SOC and TN concentration in an aggregate multiplied by the amount of the aggregate in one kilogram soil42. Soil microbial biomass C was determined by fumigation extraction52. Briefly, 10 g of fumigated and unfumigated soil samples were extracted with 0.5 M K2SO4 in 1:4 ratio. Since not all the microbial C was extracted by K2SO4, a k factor of 0.45 was used to convert microbial C flush to MBC.

Statistical analysis

The contents of WSAs, n class="Chemical">SOC, pan> class="Chemical">TN, and microbial activity within aggregates were compared among the five land uses by using one-way analysis of variance (ANOVA) to test for differences. Fischer’s least significant difference post hoc test was used to separate significant differences among the land uses at P < 0.05 significance level. Two-way analysis of variance (ANOVA) was conducted to test the effects of land use and aggregate size on SOC, TN concentration and stocks, MBC and Cmic: Corg ratio within soil aggregates. The least significant difference (LSD) between any two means was calculated using the Student’s t test at the 5 percent level. In addition, principal components analysis (PCA), which is often performed to eliminate multicolinearity and reduce the number of variables in a data set for accurate data analysis, was performed by considering most or all of the information. Water-stable aggregates (WSAs), soil nutrient status (SOC, TN), and microbial activity were analysed by transforming the data to their principal components and subjecting them to ANOVA5354. PCAs and ANOVA were performed using SPSS 16 (SPSS Inc., Chicago, IL, USA).

Additional Information

How to cite this article: Xiao, S. et al. Soil aggregate mediates the impacts of land uses on organic carbon, total nitrogen, and microbial activity in a Karst ecosystem. Sci. Rep. 7, 41402; doi: 10.1038/srep41402 (2017).

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