sustainability Article Relationships between Soil Crust Development and Soil Properties in the Desert Region of North China Jiping Niu 1 , Kai Yang 2 , Zejun Tang 1, * and Yitong Wang 1 1 2 * College of Water Resources and Civil Engineering, China Agricultural University, Beijing 100083, China; [email protected] (J.N.); [email protected] (Y.W.) Advanced Materials Institute, Shandong Academy of Sciences, Jinan 250014, China; [email protected] Correspondence: [email protected] Academic Editor: Mary J. Thornbush Received: 2 March 2017; Accepted: 27 April 2017; Published: 3 May 2017 Abstract: This study investigated the effects of soil crust development on the underlying soil properties. The field sampling work was conducted in June 2016 in the Hobq Desert in Inner Mongolia, North China. Soil crust samples and 0–6, 6–12, 12–18, 18–24, and 24–30 cm deep underlying soil samples were taken from five representative areas of different soil crust development stages. All samples were analyzed for physicochemical properties, including water content, bulk density, aggregate content, organic matter content, enzyme activities, and microbial biomass carbon and nitrogen. The results showed that the thickness, water content, macro-aggregate (>250 µm) content, organic matter content, microbial biomass, and enzyme activities of the soil crusts gradually increased along the soil crust development gradient, while the bulk density of the soil crusts decreased. Meanwhile, the physicochemical and biological properties of the soils below the algal and moss crusts were significantly ameliorated when compared to the physical crust. Moreover, the amelioration effects were significant in the upper horizons (∼0–12 cm deep) and diminished quickly in the deeper soil layers. Keywords: crust type; soil depth; physicochemical properties; enzyme; microbial biomass carbon and nitrogen 1. Introduction Soil degradation and desertification control is of great importance to protecting ecological balance and agricultural development in desert regions. Soil crusts, including physical crusts and biological crusts, are widely distributed in arid and semi-arid regions. Physical crusts are formed from the action of water and wind on soil particles on the surface of bare areas [1]. Physical crusts can further develop into biological crusts which are mainly composed of bacteria, fungi, algae, lichens, mosses, and other cryptogams [2]. Soil crusts can support surface ecosystems due to their strong ecological adaptability. The importance of soil crusts in ecosystem lies in the development of soil crust and conversion of soil nutrition by ameliorating physicochemical and biological properties. Specifically, in the vertical direction, soil crusts contribute to the regulation of water content and ecological promotion of nutrient cycle and, therefore, influence soil physicochemical properties, enzyme activities, microbial biomass carbon and nitrogen [3]. In the horizontal direction, soil crusts improve the resistance to wind erosion of the underlying soil due to their stable layered structure and, therefore, provide appropriate conditions for the growth of sand vegetation [4]. The study on soil crusts combining geoscience and biology has become a research focus and leading edge in arid and semi-arid regions. In arid and semi-arid desert regions, water content is the dominant factor influencing the sandy ecosystem restoration. For example, Li et al. [5] found that the spatial variability of rainfall infiltration depth within the various soil layers significantly influenced the ecological development of soil crusts Sustainability 2017, 9, 725; doi:10.3390/su9050725 www.mdpi.com/journal/sustainability Sustainability 2017, 9, 725 2 of 15 in the Tengger Desert in Inner Mongolia, North China. The authors also found that the soil crusts influenced the soil water environment by reducing the infiltration and evaporation of precipitation and, therefore, resulted in a vegetation change from shrubs to herbs. Aggregates and organic matter are important soil components. Aggregates are the place where organic carbon exists. Organic matter provides nutrient sources and energy for plant growth and microbial activities. Both aggregates and organic matter influence the stability of soil structure, as well as soil anti-erodibility and fertility and plant growth [6,7]. Numerous studies have demonstrated that the development of biological soil crusts can increases aggregate stability [8], organic matter content [9], and soil fertility [10,11]. Microbial biomass carbon and nitrogen are the most active and variable parts of soil organic matter [12]. Liang et al. [13] demonstrated that microbial biomass carbon and nitrogen were sensitive to planting, fertilization and other management measures. Issa et al. [14] reported that the soil crusts with porous organic bodies increased soil porosity water and nutrient retention. Yu and Steinberger [15] found that the microbial biomass was recorded relatively higher in the two upper (0–20 cm) layers than the deeper layers (20–50 cm). Enzymes are the most active biocatalyst in the material cycle and energy flow of ecosystems, influencing all of the biochemical processes in soil and most organic carbon species [16,17]. To be specific, alkaline phosphatase can hydrolyze organophosphorus ester into inorganic phosphate. Urease can promote the hydrolysis of urea into ammonia and, therefore, supply nitrogen for plant growth and soil microbial activities. Protease can promote the hydrolysis of proteins into amino acids. Peroxidase is involved in the soil organic carbon cycle and transformation. The desert region of the Hobq Desert in Inner Mongolia, North China was chosen as the study area due to the abundant soil crusts and extreme ecological environment. Many studies have examined the effects of soil crusts on soil hydraulic conductivity [18], soil structure [8], microbial biomass [19], enzyme activities [20,21], and succession process [1] in this region. However, to our knowledge, few studies have investigated how different types of soil crusts and vegetation covers influence the spatial variations in underlying soil properties, which can indicate the soil quality. In addition, the relationships between soil physicochemical properties, microbial biomass and enzyme activities of different types of soil crusts remain unknown in the Hobq Desert. This study explored the effects of different physical and biological crusts on the physicochemical characteristics, enzyme activities, and microbial biomass of the underlying soils in the Hobq Desert, aiming at providing a reference for vegetation restoration and soil improvement in the desert region of North China. In contrast to previous studies where the 0–5 cm deep underlying topsoil was usually collected, 0–30 cm deep underlying soil samples were collected in this study to investigate the effects of the organic matter accumulation and microbial activities in the upper soil layers. The sampling depth was designed according to the root depth (∼30 cm) of Artemisia ordosica which dominates the study area. 2. Material and Methods 2.1. Study Area The Hobq Desert is located in Inner Mongolia, North China. It has a desert area of 13,358 km2 , ranking as the 7th largest desert in China. The field sampling work was conducted in the southern part of the desert (40◦ 160 N–40◦ 390 N, 107◦ 450 E–109◦ 500 E, 1020–1097 m asl). The desert is located in a typical semi-arid temperate continental monsoonal climate zone. According to the Chinese International Exchange Stations Surface Climate Standard Values Monthly Dataset (1971–2000) (weather station No.: 53463; location: 40◦ 490 N, 111◦ 410 E, 1063 m asl) (National Meteorological Information, 2005), the mean annual temperature is 6.1 ◦ C, and the lowest and highest monthly mean temperatures are −34.5 ◦ C and 40.2 ◦ C, respectively. The mean annual precipitation is 250 mm, falling predominantly during summer, and the mean annual pan evaporation is 2160 mm. The mean annual wind speed is 3.9 m/s, and there is a wind erosion period often occurring from March to May with a wind speed up to 30 m/s. Sustainability 2017, 9, 725 3 of 15 The experimental soil is sandy, weak salt wet cambisol, and arid sandy entisol. A range of engineering measures such as enclosure and afforestation have been undertaken by the national and local governments to control the local desertification and restore vegetation cover. The Hobq Desert is currently covered by drought-tolerant sand vegetation mainly consisting of Agriophyllum squarrosum, Elymus dahuricus, Salsola collina, Sophora alopecuroides, Astragalus adsurgens, Artemisia ordosica, and Aneurolepidium chinense. Physical and biological soil crusts have been formed between the bare sand dune and vegetation. Chen and Duan [22] have recently reported that the local biological soil crusts include algal crust, lichen crust, algal-lichen mixed crust, and moss crust. The dominant species composing the local biological soil crusts are Microcoleus vaginatus, Collema tenax, and Byum argenteum. 2.2. Field Sampling Vegetation was planted in the study area in the mid-1980s as part of the local desertification control project. Soil crusts have been widely formed on the top of the sandy soil in the region. According to our field survey, five types of soil crusts were selected. For each type of soil Crust, a sampling strip 1 m wide and 20 m long was designed. Along each sampling strip, three sampling points were selected to determine soil properties based on the same topography and soil type. Our field survey demonstrated that within the sampling stripes the mean plant height and crown width of the dominant Artemisia ordosica were 35 and 40 cm, respectively. The mean vegetation cover was estimated to be ∼50%. At each sampling point, the soil crust sample and 0–6, 6–12, 12–18, 18–24, and 24–30 cm deep underlying soil samples were collected in June 2016. Briefly, the soil crust was carefully separated from the underlying soil using a shovel. Next the 30 cm deep undisturbed soil column sample was collected using an organic glass sampling tube. The soil column sample was then separated into subsamples of different depths as aforementioned. A total of 75 underlying soil samples were collected. The characteristics of the five soil crust samples are shown in Table 1. Table 1. Characteristics of the soil crust samples. Sample No. Dominant Vegetation Crust Type Color Thickness (cm) 1 2 3 Artemisia Ordosica Artemisia Ordosica Artemisia Ordosica Artemisia Ordosica and Eragrostis Poaeoides Artemisia Ordosica and Eragrostis Poaeoides Physical Crust Algal Crust Moss Crust Light-Colored Dull Gray Yellow Green 0.41 0.62 1.53 Algal Crust Brown 0.57 Moss Crust Yellow Green 1.72 4 5 2.3. Laboratory Analyses All soil crust samples and underlying soil samples were air-dried and passed through a 2 mm sieve to remove roots and other debris. Crust thickness was measured using a Vernier caliper. Water content was determined by the oven-drying method. Bulk density was determined by the cutting ring method. Each soil sample was separated into three fractions, viz., <53, 53–250 and >250 µm, by the wet sieving method as described in [23]. Organic matter content was determined by the potassium dichromate-sulfuric acid oxidation method as described in [24]. Microbial biomass carbon and nitrogen were determined by the chloroform-fumigation extraction method as described in [25]. Enzymes activities were determined by the methods as described in References [26]. For alkaline phosphatase, 1 g soil and 0.25 mL toluene were incubated in 1 mL nitro phenolic sodium phosphate and 4 mL borate buffer at pH = 11 at 37 ◦ C for 1 h. The mixture was then filtered. The amount of phenol released from the filtrate was estimated based on the color reaction. For urease, 5 g soil was mixed with 1 mL toluene, 10 mL 10% urea solution and 20 mL citrate solution at pH = 6.7 at 37 ◦ C for 24 h. The amount of released ammonium was colorimetrically determined using a spectrophotometer Sustainability 2017, 9, 725 4 of 15 soil was mixed with Sustainability 2017, 9, 725 1 mL toluene, 10 mL 10% urea solution and 20 mL citrate solution at pH = 6.7 4 of at 15 37 °C for 24 h. The amount of released ammonium was colorimetrically determined using a spectrophotometer at 578 nm. For protease, 5 g soil and 25 mL sodium casein were incubated in 25 at 578 nm. For protease, 5 g soil and 25 mL sodium casein were incubated in 25 mL 50 mol/L tris mL 50 mol/L tris buffer at pH = 8.1 at 50 °C for 2 h. 5 mL 33% folin solution was then added. The buffer at pH = 8.1 at 50 ◦ C for 2 h. 5 mL 33% folin solution was then added. The protease activity was protease activity was colorimetrically quantified using a spectrophotometer at 700 nm. For colorimetrically quantified using a spectrophotometer at 700 nm. For peroxidase, 2 g soil and 5 mL peroxidase, 2 g soil and 5 mL 0.3% hydrogen peroxide solution were added to a 100 mL conical flask 0.3% hydrogen peroxide solution were added to a 100 mL conical flask with 40 mL deionized water. with 40 mL deionized water. After shaking and filtration, the filtrate was titrated to the pink end After shaking and filtration, the filtrate was titrated to the pink end point with 0.5 mol/L potassium point with 0.5 mol/L potassium permanganate. The peroxidase activity was then calculated using permanganate. The peroxidase activity was then calculated using the following formula: (A–B)*T, the following formula: (A–B)*T, where A is the dosage of potassium permanganate used to titrate where A is the dosage of potassium permanganate used to titrate the 25 mL original hydrogen peroxide the 25 mL original hydrogen peroxide solution; B is the dosage of potassium permanganate used to solution; B is the dosage of potassium permanganate used to titrate the 25 mL soil filtrate solution; and titrate the 25 mL soil filtrate solution; and T is the correction value. T is the correction value. 2.4. Data Analyses 2.4. Data Analyses IBM® SPSS® Statistics 20 (Statistical Product and Service Solutions, IBM Company, USA) was IBM® SPSS® Statistics 20 (Statistical Product and Service Solutions, IBM Company, USA) was used to analyze the data. Significant differences among soil physicochemical properties, enzymes used to analyze the data. Significant differences among soil physicochemical properties, enzymes activities, microbial biomass carbon and nitrogen were compared by the LSD test at a significance activities, microbial biomass carbon and nitrogen were compared by the LSD test at a significance level of 0.05. Results were presented as mean value ± standard deviation. Correlation analysis was level of 0.05. Results were presented as mean value ± standard deviation. Correlation analysis was conducted at significance levels of 0.01 and 0.05, respectively. conducted at significance levels of 0.01 and 0.05, respectively. 3. Results 3. Results 3.1. Soil Physicochemical Properties The water watercontents contentsofofthe the five crusts underlying soil layers andsample) layers five soilsoil crusts andand theirtheir underlying soil layers (crust (“crust and layers sample”) Except and 1, thecontents water contents crust and 2, layers are shownare in shown Figure in 1. Figure Except 1.for crust for andcrust layers 1,layers the water of crustof and layers 3, 4, 2, 3, 54,first andincreased 5 first increased with and depth and peaked at the of depth 6–12 and then decreased with and with depth peaked at the depth 6–12ofcm andcm then decreased with depth. depth. Regarding the Artemisia the contents water contents of crusts were and 0.9%1.2%, and Regarding the Artemisia ordosicaordosica cover, cover, the water of crusts 2 and 23 and were3 0.9% 1.2%, respectively. The values up to 2.4% and 3.0%, respectively, at the of and 6–12then cm respectively. The values reachedreached up to 2.4% and 3.0%, respectively, at the depth of depth 6–12 cm and then dropped to 1.9% and 1.2%, respectively, at the depth of 24–30 cm. Regarding the Artemisia dropped to 1.9% and 1.2%, respectively, at the depth of 24–30 cm. Regarding the Artemisia ordosica ordosica and Eragrostis waterofcontents crusts 4 and were 0.6% and 2.0%, and Eragrostis poaeoides poaeoides cover, thecover, waterthe contents crusts 4of and 5 were 0.6%5and 2.0%, respectively. respectively. The values up3.2%, to 0.9% and 3.2%, respectively, depth of 6–12 and then The values reached up toreached 0.9% and respectively, at the depth at of the 6–12 cm and thencm dropped to dropped to 0.7% and 1.4%, respectively, at the depth of 24–30 cm. In contrast, there was an 0.7% and 1.4%, respectively, at a depth of 24–30 cm. In contrast, there was an increasing trend in the increasing trend in theand water content ofdepth. crust and layers 1atwith depth.ofMoreover, the depth of <24 water content of crust layers 1 with Moreover, the depth <24 cm theatwater contents of cm the water contents and layers 3,corresponding and 5 were higher theand corresponding value of crust and layers 2, 3, andof5 crust were higher than2, the valuethan of crust layers 1, while at the crust and layerscm 1, these while values at the depth ofquite 24–30similar. cm these values became quite similar. depth of 24–30 became Water contents(%) 0.5 1.0 1.5 2.0 2.5 3.0 3.5 Crust Depth(cm) 0-6 6-12 12-18 18-24 24-30 Crust&layers sample 1 Crust&layers sample 2 Crust&layers sample 3 Crust&layers sample 4 Crust&layers sample 5 Figure 1. 1. The water contents of the five crust and layers samples at different depths. Figure The bulk density of the five soil crusts and their underlying underlying soil soil layers layers are are shown shown in in Figure Figure 2. 2. 3 ) was 3) was g/cm higher thanthan thosethose of crusts 2, 3, 4,2,and The bulk bulk density density ofofcrust crust1 1(1.4 (1.4 g/cm higher of crusts 3, 4,5 (range and 5 0.9–1.3 (range 0.9–1.3 g/cm3 ). Moreover, the bulk density of the algal crust (e.g., crusts 2 and 4) was higher than that Sustainability 2017, 9, 725 5 of 15 Sustainability 2017, 2017, 9, 9, 725 725 Sustainability 55 of of 15 15 g/cm3). Moreover, the bulk density of the algal crust (e.g., crusts 2 and 4) was higher than that of the 3). Moreover, moss crust (e.g.,the crusts and 5).ofThe abovecrust trend was also 2found the corresponding g/cm bulk 3density the algal (e.g., crusts and 4)among was higher than that of thesoil of the moss (e.g., 3 In and 5). The above was also found among thecorresponding corresponding layers at crust the same depth. all trend thetrend bulk density of the five crust and layers samples moss crust (e.g., crustscrusts 3 and 5).addition, The above was also found among the soil tended to same increase withIndepth. layers at addition, all the bulkbulk density of theoffive layers tended at the the samedepth. depth. In addition, all the density thecrust five and crust and samples layers samples to increase with depth. tended to increase with depth. 3 0.0 0.0 Crust Crust 0-6 Depth(cm) 0.4 Bulk density(g/cm ) 0.8 1.2 1.6 2.0 2.4 2.8 3.2 3 Bulk density(g/cm ) a 0.8 1.2 1.6 2.0 2.4 2.8 3.2 a b 0-6 Depth(cm) 0.4 6-12 6-12 12-18 12-18 18-24 18-24 24-30 24-30 a b a a a b b b b c b c c b c a c a c ab ab a b a ab a ab ab b ab ab a b ab ab a ab a ab a a b a a a a ab babc ab a b ab abc ab b Crust&layers sample 1 Crust&layers sample 2 Crust&layers sample 1 3 Crust&layers sample Crust&layers sample 2 4 Crust&layers sample Crust&layers sample 3 5 Crust&layers sample Crust&layers sample 4 Crust&layers sample 5 Figure 2. The bulk density of the five crust and layers samples at different depths. Data with the same2. at the same depth are not significantly different atdifferent pat= 0.05 by thedepths. LSD test. Figure 2.letter Thebulk bulk density the five crust layers samples different Data with the Figure The density ofofthe five crust andand layers samples at depths. Data with the same same letter at the same depth are not significantly different at p = 0.05 by the LSD test. letter at the same depth are not significantly different at p = 0.05 by the LSD test. The aggregate contents of the five soil crusts and their underlying soil layers are shown in Figure 3. The <53 contents μm aggregate of crust (88%)their was underlying higher thansoil those of crusts 2, 3, 4, and The aggregate of thecontent five soil crusts1 and layers are shown in 5 The aggregate contents of the five soil crusts and their underlying soil layers are shown in Figure 3. (range 24%–79%). both crusts 1 and 2 were dominated by those the <53 μm aggregates while Figure 3. The <53 μm Moreover, aggregate content of crust 1 (88%) was higher than of crusts 2, 3, 4, and 5 The <53 µm aggregate content of crust 1 (88%) was higher than those of crusts 2, 3, 4, and 5 (range crusts 3 and 5 were dominated by the 53–250 and >250 μm aggregates, respectively. There was (range 24%–79%). Moreover, both crusts 1 and 2 were dominated by the <53 μm aggregates while a 24–79%). Moreover, both crusts 1 and 2 were dominated by the <53 µm aggregates, while crusts 3 relatively of <53 than theμm contents of 53–250 and >250 There μm aggregates crusts 3 and higher 5 werecontent dominated byμm theaggregates 53–250 and >250 aggregates, respectively. was a and 5 were dominated by the 53–250 and >250 µm aggregates, respectively. There was a relatively presenthigher in crustcontent 4. Except for crust and layers than 4, thethe <53contents μm aggregate content of theμm soilaggregates layers below relatively of <53 μm aggregates of 53–250 and >250 higher content of <53 µm aggregates than the contents of 53–250 and >250 µm aggregates present crust in 1 was thanfor those the layers corresponding below crustsof 2, the 3, 4,soil andlayers 5 at the depth present crusthigher 4. Except crustofand 4, the <53soil μmlayers aggregate content below in crust 4. Except for crust and layers 4, the <53 µm aggregate content of the soil layers below crust of 6–24 In contrast, the soil layers below crustsoil 4 had the below highestcrusts <53 μm contents at the crust 1 wascm. higher than those of the corresponding layers 2, 3,aggregate 4, and 5 at the depth 1 was higher than those of the corresponding soil layers below crusts 2, 3, 4, and 5 at the depth of depthcm. of In 0–6contrast, and 24–30 soil layers below crust 1contents were dominated of 6–24 thecm, soil respectively. layers below Additionally, crust 4 had thethe highest <53 μm aggregate at the 6–24 cm. In contrast, the soil layers below crust 4 had the highest <53 µm aggregate contents at the by the <53and μm 24–30 aggregates at all the depths. The soil the layers and 31 were depth of 0–6 cm, respectively. Additionally, soilbelow layerscrusts below2crust were dominated dominated by depth of 0–6 and 24–30 cm, respectively. Additionally, the soil layers below crust 1 were dominated depths The (e.g.,soil 0–12 cm), below while the soil2layers by the the <53 <53 μm μmaggregates aggregatesat atshallow all the depths. layers crusts and 3were weredominated dominatedby bythe by the <53 µm aggregates at all the depths. The soil layers below crusts 2 and 3 were dominated by depths (e.g., 12–30 cm). The soil the layers were dominated the>53 <53μm μmaggregates aggregatesatatdeep shallow depths (e.g., 0–12 cm), while soilbelow layerscrust were4dominated by the by the <53 µm aggregates at shallow depths (e.g., 0–12 cm), while the soil layers were dominated by the μm aggregates at all the depths forsoil thelayers depth of 6–12 where the dominant >53the μm<53 aggregates at deep depths (e.g., 12–30 except cm). The below crustcm 4 were dominated by >53 µm aggregates at deep depths (e.g., 12–30 cm). The soil layers below crust 4 were dominated by the fell into theatrange of >53 μm. The soilfor layers 5 were the >53 μm theaggregates <53 μm aggregates all the depths except thebelow depthcrust of 6–12 cmdominated where thebydominant <53 µm aggregates at all the depths except for the depth of 6–12 cm, where the dominant aggregates aggregates all the depths dominant of >250crust μm 5aggregates at deepby depths (e.g., aggregates fellatinto range ofwith >53 aμm. The soilamount layers below were dominated the >53 μm12– fell into the range of >53 µm. The soil layers below crust 5 were dominated by the >53 µm aggregates 30 cm). at all the depths with a dominant amount of >250 μm aggregates at deep depths (e.g., 12– aggregates at all the depths with a dominant amount of >250 µm aggregates at deep depths (e.g., 12–30 cm). 30 cm). Aggregate content (%) Aggregate content (%) 100 100 80 80 60 60 40 40 20 20 0 0 (a) Crust (a) Crust (b) 0–6 cm (b) 0–6 cm (c) 6–12 cm (c) 6–12 cm <53 μm <53 μm 53–250 μm 53–250 μm>250 μm 1 2 3 4 5 1 Crust 2 3sample 4 5No. Crust sample No. 1 2 3 4 5 1 Layer 2 3sample 4 5No. Layer sample No. Figure 3. Cont. 1 2 3 4 5 1 Layer 2 3sample 4 5No. Layer sample No. >250 μm Sustainability 2017, 9, 725 725 Sustainability 2017, 9, Sustainability 2017, 9, 725 66 of of615 15 of 15 (d) (d) 12–18 cm cm 12–18 (e) (e) 18–24 cm cm 18–24 (f) 24–30 cm cm (f) 24–30 Aggregate content (%) Aggregate content (%) 100100 80 80 <53<53 μmμm 60 60 40 40 53–250 53–250 μmμm 20 20 >250 μmμm >250 0 0 1 12 23 34 45 5 Layer sample No.No. Layer sample 1 12 23 34 45 5 Layer sample No.No. Layer sample 1 12 23 34 45 5 Layer sample No.No. Layer sample Figure 3. The The aggregate aggregatecontents contentsofofthe thefive fivecrust crustand andlayers layerssamples samples different depths. Crust Figure 3. atat different depths. (a)(a) Crust (b) (b) Figure 3. The aggregate contents of the five crust and layers samples at different depths. (a) Crust (b) 0–6 cm (c) 6–12 cm (d) 12–18 cm (e) 18–24 cm (f) 24–30 cm. 0–60–6 cm cm (c) 6–12 cm (d) 12–18 cm (e) 18–24 cm (f) 24–30 cm. (c) 6–12 cm (d) 12–18 cm (e) 18–24 cm (f) 24–30 cm. TheThe organic matter contents of the fivefive soilsoil crusts andand their underlying soilsoil layers areare shown in in organic matter contents of the crusts their underlying layers shown organic matter contents increased with soilsoil from Figure 4. The crust development thethe physical crust Figure 4. The organic matter contents increased with crust development from physical crust g/kg in crust 1) to the algae crust (5.3 g/kg in crust 2 and g/kg in crust 4) and, finally, to (3.4(3.4 g/kg in crust 1) to the algal crust (5.3 g/kg in 7.5 g/kg in crust 4) and, finally, g/kg in crust 1) to the algae crust (5.3 g/kg in crust 2 and 7.5 g/kg in crust 4) and, finally, the to the crust (9.6(9.6 g/kg inincrust 33and 17.6 g/kg inin crust 5).5). InIn contrast, allall thethe organic matter contents of of moss g/kg crust and 17.6 g/kg organic matter contents moss crust g/kg in crust 3 and 17.6 g/kg incrust crust 5). Incontrast, contrast, all the organic matter contents thethe five crust and layers samples tended to decrease with depth. Except for crust and layers 1, a1, a of five crust and layers samples tended to decrease with depth. Except for crust and layers the five crust and layers samples tended to decrease with depth. Except for crust and layers 1, conspicuous decline was observed in the organic matter contents of crust and layers 2, 3, 4, and 5 at a conspicuous decline was observed in the organic matter contents of crust and layers 2, 3, 4, and 5 conspicuous decline was observed in the organic matter contents of crust and layers 2, 3, 4, and 5 at thethe depth of of 0–6 cm,cm, while only a slight decline waswas observed at the depth of 6–30 cmcm for all the five at depth while only a slight decline was observed atthe the depth 6–30 cmfor forall allthe thefive the depth of 0–6 0–6 cm, while only a slight decline observed at depth ofof6–30 crust and layers samples. five crust and layers samples. crust and layers samples. 0 0 2 4 2 Organic matter(g/kg) Organic matter(g/kg) 8 6 8 10 10 12 12 14 14 16 16 18 18 20 20 6 4 a a ab Crust Crust a 0-6 0-6 6-126-12 Depth(cm) Depth(cm) a a 12-18 12-18 a a a a ab a a a a a a ab bc ab b ab a aa a a a a ab c c c ab a a a ab b a a a ab c b b a a a a 24-30 24-30 a a a bc a a 18-24 18-24 a a ab Crust & layers sample 1 Crust & layers sample Crust & layers sample 2 Crust & layers sample Crust & layers sample 3 Crust & layers sample Crust & layers sample 4 Crust & layers sample Crust & layers sample 5 Crust & layers sample 1 2 3 4 5 Figure 4. The organic matter contents of the five crust and layers samples at different depths. Data Figure 4. The organic matter contents of the fivefive crust andand layers samples at different depths. Data Figure 4. The organic contents of the crust layers at different depths. Data with the same letter at thematter same depth are not significantly different at samples p = 0.05 by the LSD test. with the same letter at the same depth are not significantly different at p = 0.05 by the LSD test. with the same letter at the same depth are not significantly different at p = 0.05 by the LSD test. 3.2. Enzyme Activities Activities 3.2.3.2. Enzyme Enzyme Activities The activities of phosphatase, urease, protease, and peroxidase in the fivefive soil soil crusts and TheThe activities ofalkaline alkaline phosphatase, urease, protease, and peroxidase in the crusts activities of alkaline phosphatase, urease, protease, and peroxidase in the five soil crusts their underlying soil layers are shown in Figures 5–8, respectively. In general, all the enzyme activities andand their underlying soilsoil layers areare shown in Figures 5–8,5–8, respectively. In general, all all thethe enzyme their underlying layers shown in Figures respectively. In general, enzyme increased with soil crust development while decreased with depth.with The enzymes were more active activities increased with soilsoil crust development while decreased depth. The enzymes were activities increased with crust development while decreased with depth. The enzymes were in biological crusts than in physical crust. For example, the alkaline phosphatase activity in the algal more active in biological crusts than in physical crust. For example, the alkaline phosphatase more active in biological crusts than in physical crust. For example, the alkaline phosphatase crust (crusts 2 and 4)crust and (crusts moss crust (crusts 3 and 5)crust was 1.1–1.4-times and 3.4–7.2-times higher than activity in the algal 2 and 4) and moss (crusts 3 and 5) was 1.1–1.4-times andand 3.4–3.4– activity in the algal crust (crusts 2 and 4) and moss crust (crusts 3 and 5) was 1.1–1.4-times 7.2-times higher than in the physical crust (crust 1). In the 0–30 cm deep soil layers, the alkaline 7.2-times higher than in the physical crust (crust 1). In the 0–30 cm deep soil layers, the alkaline Sustainability 2017, 9, 725 Sustainability Sustainability 2017, 2017, 9, 9, 725 725 7 of 15 77 of of 15 15 phosphatase was, again, the following moss crust crust >> phosphatase activity was,1). again, in0–30 thecm following decreasing order: moss crust >> algal algal crust in the physicalactivity crust (crust In thein deep soildecreasing layers, the order: alkaline phosphatase activity was, physical crust. physical crust. again, in the following decreasing order: moss crust > algal crust > physical crust. 00 aa Crust Crust aa 0-6 0-6 cc aa aa aa aa 6-12 6-12 bb aa aa aa bb aa aa 12-18 12-18 aa bb cc aa 18-24 18-24 aa Crust Crust& &layers layers sample sample 11 Crust Crust& &layers layers sample sample 22 Crust Crust& &layers layers sample sample 33 Crust & layers sample Crust & layers sample 44 Crust & layers sample Crust & layers sample 55 aa bb bb aa aa 24-30 24-30 25 25 aa bb aa Depth(cm) Depth(cm) Alkaline Alkaline phosphatase phosphatase activity(mg/g) activity(mg/g) 1100 15 20 15 20 55 aa aa bb Figure 5. Figure Figure5. 5. The The alkaline alkaline phosphatase phosphatase activity activity of of the the five five crust crust and and layers layers samples samples at at different different depths. depths. Data Data with the same letter at the same depth are not significantly different 0.05 by the LSD test. Datawith withthe thesame sameletter letterat atthe thesame samedepth depthare arenot notsignificantly significantlydifferent differentatat atppp===0.05 0.05by bythe theLSD LSDtest. test. 00 Urease Urease activity(mg/g) activity(mg/g) 10 15 10 15 55 20 20 aa bb Crust Crust bb aa bb Depth(cm) Depth(cm) aa bb aa bb aa ab ab aa 24-30 24-30 aa bb aa bb aa bb aa 18-24 18-24 bb bb aa 12-18 12-18 bb bb aa 6-12 6-12 bb cc aa 0-6 0-6 25 25 aa bb Crust Crust& &layers layers sample sample 11 Crust Crust& &layers layers sample sample 22 Crust Crust& &layers layers sample sample 33 Crust Crust& &layers layers sample sample 44 Crust Crust& &layers layers sample sample 55 Figure Figure 6. The urease activity of the five crust and layers samples at different depths. Data with the Figure6. 6. The The urease urease activity activity of of the thefive fivecrust crustand andlayers layerssamples samplesat atdifferent differentdepths. depths. Data Data with with the the same same letter at the same depth are not significantly different at 0.05 by the LSD test. sameletter letterat atthe thesame samedepth depthare arenot notsignificantly significantlydifferent differentat atppp===0.05 0.05by bythe theLSD LSDtest. test. 00 10 10 20 20 Protease Protease activity(mg/g) activity(mg/g) 30 40 30 40 aa Crust Crust bb aa 0-6 0-6 Depth(cm) Depth(cm) 6-12 6-12 aa aa 24-30 24-30 aa aa aa ab ab aa aa aa aa aa 70 70 bb bb cc bb aa bb 12-18 12-18 60 60 aa aa aa 18-24 18-24 aa 50 50 ab ab cc aa bb aa bb Crust Crust& &layers layers sample sample 11 Crust Crust& &layers layers sample sample 22 Crust Crust& &layers layers sample sample 33 Crust Crust& &layers layers sample sample 44 Crust Crust& &layers layers sample sample 55 Figure Figure 7. The protease activity of the five crust and layers samples at different depths. Data with the Figure7. 7.The Theprotease proteaseactivity activityof ofthe thefive fivecrust crustand andlayers layerssamples samplesat atdifferent differentdepths. depths.Data Datawith withthe the same same letter at the same depth are not significantly different at 0.05 by the LSD test. sameletter letterat atthe thesame samedepth depthare arenot notsignificantly significantlydifferent differentat atppp===0.05 0.05by bythe theLSD LSDtest. test. Sustainability 2017, 9, 725 Sustainability Sustainability2017, 2017,9,9,725 725 8 of 15 88ofof15 15 0.0 0.0 0.4 0.4 0.8 0.8 Peroxidase Peroxidaseactivity(mg/g) activity(mg/g) 1.2 1.6 2.0 2.4 1.2 1.6 2.0 2.4 aa 3.2 3.2 abab Crust Crust abab aa 0-6 0-6 aa 6-12 6-12 abab 12-18 12-18 aa abab bb abab abab bb bb aa 24-30 24-30 abab bb cc aa bb 18-24 18-24 4.0 4.0 bcbc cc aa 3.6 3.6 abab bb bb aa Depth(cm) Depth(cm) 2.8 2.8 aa abab bb bb Crust& layers Crust& layerssample sample1 1 Crust& layers Crust& layerssample sample2 2 Crust& layers Crust& layerssample sample3 3 Crust& layers Crust& layerssample sample4 4 Crust& layers Crust& layerssample sample5 5 Figure 8.8.The The five crust and layers samples at at different depths. Data with the Figure activity ofofthe the five crust and layers samples depths. Data with Figure8. Theperoxidase peroxidaseactivity activityof the five crust and layers samples atdifferent different depths. Data with same letter at the same depth are not significantly different at p = 0.05 by the LSD test. the same letter at the same depth are not significantly different at p = 0.05 by the LSD test. the same letter at the same depth are not significantly different at p = 0.05 by the LSD test. 3.3. 3.3. Microbial Biomass Carbon and Nitrogen Contents 3.3.Microbial MicrobialBiomass BiomassCarbon Carbonand andNitrogen NitrogenContents Contents Soil Soil microbial biomass, defined as the living microbial component of the soil by [27], is the Soil microbial microbial biomass, biomass, defined defined as as the the living living microbial microbial component component of of the the soil soil by by [27], [27], is is the the nutrients nutrients and energy pool that provides the conditions for soil biochemical processes, thus being nutrientsand andenergy energypool poolthat thatprovides providesthe theconditions conditionsfor forsoil soilbiochemical biochemicalprocesses, processes,thus thusbeing being frequently soil fertility and biological activity. frequently proposedas asan anindicator indicatorto toevaluate evaluate soil fertility and biological activity. The microbial frequentlyproposed indicator to evaluate soil fertility and biological activity. The microbial and contents the five soil biomass andbiomass nitrogencarbon contents ofnitrogen the five soil crustsof and their soil layers are shown Thecarbon microbial biomass carbon and nitrogen contents of the fiveunderlying soilcrusts crustsand andtheir theirunderlying underlying soil layers shown in 99and 10, The biomass carbon nitrogen in Figures and 10, respectively. microbial biomass carbon and nitrogen contents of and the soil layers9are are shown inFigures FiguresThe and 10,respectively. respectively. Themicrobial microbial biomass carbon andbiological nitrogen contents of the biological crusts (crusts 2, 3, 4, and 5) were higher than those of the physical crust crusts (crusts 2, 3,biological 4, and 5) were higher than of the crust than (crustthose 1). There was a decreasing contents of the crusts (crusts 2, those 3, 4, and 5)physical were higher of the physical crust (crust There was in microbial biomass carbon contents of trend in the microbial biomasstrend carbon and nitrogen contents of the five and crust and layers samples (crust1). 1).all There wasaadecreasing decreasing trend inall allthe the microbial biomass carbon andnitrogen nitrogen contents of the crust layers samples with (p(pcover, << 0.05). the Artemisia ordosica cover, the with depth (p <and 0.05). Under the Artemisia ordosica theUnder microbial and nitrogen the five five crust and layers samples with depth depth 0.05). Under the biomass Artemisiacarbon ordosica cover, the microbial biomass carbon contents the moss and underlying soil contents the moss crust and (crust 3) and underlying were higher than those of the algal microbialof biomass carbon and nitrogen nitrogen contents of ofsoil thelayers moss crust crust (crust (crust 3)3) and underlying soil layers were higher than of algal (crust 2)2) and underlying soil layers atat the same crust and underlying layers at crust the same depth. Similarly, under the Artemisia ordosica layers(crust were2) higher than those thosesoil of the the algal crust (crust and underlying soil layers the same depth. Similarly, under the ordosica and poaeoides cover, the biomass and Eragrostis poaeoides the microbial biomass carbon and nitrogen contents of the moss crust depth. Similarly, undercover, theArtemisia Artemisia ordosica andEragrostis Eragrostis poaeoides cover, themicrobial microbial biomass carbon contents of moss crust 5)5)and soil layers were than (crust andnitrogen underlying soil layers than those ofunderlying the algal crust andhigher underlying carbon5)and and nitrogen contents ofthe thewere mosshigher crust(crust (crust and underlying soil(crust layers4) were higher than those of crust (crust soil layers atalgal the same those ofthe the algal crustdepth. (crust4)4)and andunderlying underlyingsoil soillayers layersatatthe thesame samedepth. depth. 00 5050 100 100 MMicrobial icrobialbiom biomass asscarbon(m carbon(mg/kg) g/kg) 150 200 250 300 150 200 250 300 aa bb Crust Crust cc aa aa Depth(cm) Depth(cm) 0-6 0-6 6-12 6-12 12-18 12-18 18-24 18-24 24-30 24-30 bc b bc b dc dc cc aa aa aa bb bb aa abab abab bcbc aa aa aa aa 400 400 aa bb aa abab bb bb 350 350 cc cc bb Crust && layers Crust layerssample sample1 1 Crust && layers Crust layerssample sample2 2 Crust && layers Crust layerssample sample3 3 Crust && layers Crust layerssample sample4 4 Crust && layers Crust layerssample sample5 5 Figure The microbial biomass carbon contents ofofthe and samples atatdifferent Figure9. Themicrobial microbial biomass carbon contents thefive fivecrust crust andlayers layers samples different Figure 9.9.The biomass carbon contents of the five crust and layers samples at different depths. depths. Data with the same letter at the same depth are not significantly different at p = 0.05 by the depths. Data same letter at the same are not significantly = 0.05 by the Data with the with samethe letter at the same depth are depth not significantly different atdifferent p = 0.05 at bypthe LSD test. LSD LSDtest. test. Sustainability 2017, 9, 725 Sustainability 2017, 9, 725 9 of 15 9 of 15 0 M icrobial biomass nitrogen(mg /kg) 40 60 20 a ab Crust c a a Depth(cm) 0-6 18-24 b a b Crust& layers Crust& layers Crust& layers Crust& layers Crust& layers a a b a 24-30 b a b a c b a 12-18 b a b a 100 a a a a 6-12 80 b a b sample sample sample sample sample 1 2 3 4 5 Figure 10. The microbial biomass nitrogen contents of the five crust and layers samples at different Data with with the the same same letter letter at the same depth are not significantly different at p = 0.05 by the depths. Data LSD test. 3.4. Relationships between Physicochemical Properties and Microbial Parameters Parameters of of Soil Soil Crusts Crusts The relationships relationshipsbetween between water content, density, organic water content, bulkbulk density, organic matter matter content,content, microbialmicrobial biomass biomass carbon microbial content, microbial biomass content, nitrogenand content, andactivities enzyme of activities thecrusts five soil carbon content, biomass nitrogen enzyme the fiveofsoil are 2 crusts are listed in Table 2. The water content was strongly related to the alkaline phosphatase listed in Table 2. The water content was strongly related to the alkaline phosphatase activity (R = 0.96, 2 = 0.96, p < 0.01). Negative correlations were found between the bulk density and other activity p < 0.01).(R Negative correlations were found between the bulk density and other parameters. The organic parameters. The organic matter content was positively stronglyphosphatase correlated activity with the(R2alkaline matter content was positively strongly correlated with the alkaline = 0.98, 2 2 = 0.98, p 2 = 0.96, p < 0.01), respectively. The phosphatase activity (R < 0.01) and protease activity (R p < 0.01) and protease activity (R = 0.96, p < 0.01), respectively. The microbial biomass carbon content 2 =microbial microbial biomass carbon content was correlated with (R the biomass was positively strongly correlated with thepositively microbial strongly biomass nitrogen content 0.99, p < 0.01) and 2 =2 = nitrogen content 0.99,p p< <0.01), 0.01)respectively. and urease activity (R2 = 0.97, p < 0.01), respectively. urease activity (R(R 0.97, The statistical analysis of the enzyme activities showed that all all the the alkaline alkaline phosphatase, phosphatase, urease, urease, protease and peroxidase activities were strongly related to crust type (p < < 0.05). 0.05). As As shown shown in in Table Table 3, 3, vegetation cover also had aa significant significant influence influence on on enzyme enzyme activities. activities. Moreover, the interaction between crust type and vegetation cover was obvious. obvious. Table microbial parameters parameters of of soil soil crusts. crusts. Table 2. Correlation coefficients between physicochemical and microbial SWC a SWCb a SBD SBD bc SOMC SOMCd c SMBC d SMBC SMBN e e SMBN Alkaline Alkaline Phosphatase Phosphatase Urease Urease Protease Protease Peroxidase Peroxidase SWC SWC 1.000 1.000 SBD SBD −0.801 − 0.801 1.000 1.000 SOMC SOMC 0.916 * 0.916 * −0.813 − 0.813 1.000 1.000 a SMBC SMBC 0.956 * 0.956 * −0.854 −0.854 0.926 * 0.926 * 1.000 1.000 Alkaline SMBN Alkaline SMBN Phosphatase Phosphatase 0.935 * 0.959 ** 0.935 0.959 ** −0.918 * * −0.828 −0.918 −0.828 0.911 * * 0.977 ** 0.911 * 0.977 ** 0.989 ** 0.917 * 0.989 ** 0.917 * 1.000 0.906 * 1.000 0.906 * 1.000 1.000 Urease Protease Urease Protease 0.872 0.914 * 0.872 0.914 * −0.775 −0.694 −0.775 0.959 −0.694 0.855 ** 0.855 0.959 ** 0.972 ** 0.942 * 0.972 ** 0.942 * 0.953 * 0.895 * 0.953 * 0.895 * 0.809 0.919 0.809 0.919** 1.000 1.000 0.920 0.920** 1.000 1.000 Peroxidase Peroxidase 0.540 0.540 −0.868 −0.732 0.868 0.732 0.700 0.700 0.768 0.768 0.646 0.646 0.694 0.694 0.616 0.616 1.000 1.000 b SBD–soil c SOMC–soil d SMBC–soil b SBD–soil c SOMC–soil d SMBC–soil SWC–soil water bulkbulk density; organic matter content; microbial SWC–soil watercontent; content; density; organic matter content; e SMBN–soil microbial biomass nitrogen; * and ** indicate significance at p < 0.05 and p < 0.01 biomass carbon; e microbial biomass carbon; SMBN–soil microbial biomass nitrogen; * and ** indicate significance at p levels, respectively. < 0.05 and p < 0.01 levels, respectively. Sustainability 2017, 9, 725 10 of 15 Table 3. Statistical analysis of enzyme activities. Source of Variation Enzymes Alkaline Phosphatase Urease Protease Peroxidase Crust Type × Vegetation Cover Vegetation Cover F Sig. F Sig. F Sig. F Sig. F Sig. F Sig. F Sig. 205 174 119 83 0.000 0.000 0.000 0.000 59 114 51 9.3 0.000 0.000 0.000 0.005 78 46 308 15 0.000 0.000 0.000 0.000 79 22 82 5.5 0.000 0.000 0.000 0.026 16 2.7 11 0.3 0.000 0.016 0.000 0.982 9.3 6.9 12 1.7 0.000 0.000 0.000 0.162 7.6 6.5 17 2.6 0.000 0.000 0.000 0.044 Depth Crust Type × Depth Vegetation Cover × Depth Crust Type × Vegetation Cover × Depth Crust Type Sustainability 2017, 9, 725 11 of 15 4. Discussion 4.1. Relationships between Soil Crust Development and Soil Properties In the Hobq Desert of North China the physical crust has been formed at the surface of the bare area through the accumulation and subsidence of deposited atmospheric dust. The deposition process and plant roots can compact the physical crust. The fertility of the subsoil layer can be improved after long-term migration and leaching of humus and mineral elements. By this time, the microorganisms will have begun to accumulate organic matter, leading to the development of biological soil crust from algal crust to moss crust, as the biological soil crust is mainly composed of bacteria, fungi, algae, lichens, mosses, and other cryptogams [2]. The results showed that the water retention, macro-aggregate content, organic matter content, enzyme activities, and microbial biomass carbon and nitrogen contents of the soils below the biological crusts (algal crusts 2 and 4, and moss crusts 3 and 5) were significantly higher than the corresponding values of the soil below the physical crust (crust 1) (p < 0.05). This finding indicated that the soil crusts significantly improved the properties of the sandy soil, and the well-developed moss crust had a more significant amelioration effect when compared to the physical crust and other less-developed biological crusts. Moreover, the crust thickness was in the following increasing order: physical crust < algal crust < moss crust. Similarly, Guo et al. [1] observed that the succession process of biological crust was from algal crust to moss crust with an increase in thickness from 0.68 to 1.79 cm. Due to the dry and windy climate, and sandy land in the Hobq Desert, soil fertility and structure have been subjected to severe long-term degradation. The structure of small aggregates can be easily broken up, and the organic carbon content is low (∼6 mg/kg) [22]. In this study, the establishment and development of soil crust reduced the bulk density and micro-aggregate content. For example, the amount of <53 µm aggregates in crust 1 was 88%, indicating a potentially poor surface structure. In contrast, the aggregate size was significantly increased in well-developed crusts 2, 3, 4, and 5, contributing to increasing aggregate stability against wind erosion. Moreover, soil crust development can stabilize the loose desert surface and improve its resistance to wind erosion. This may be attributed to the accumulation and deposit of atmospheric dust and microbial activities. This finding is in accordance with Chamizo et al. [2], who found that the aggregate stability was higher under well-developed moss crust than under physical crust. Biological crust can improve aggregate stability, which contributes to a more stable soil structure by wrapping loose particles through rhizoid and plant [6,28]. The development of soil crust resulted in an increase in the water contents of the crusts and their underlying soils in the upper horizons. In the 0–12 cm deep soil layer, for example, the dense root of vascular plant and microbial secretion could increase the water content [29]. In addition, the reduction in the surface evapotranspiration can contribute to the increase in the underlying water content. The water content decreased in the 18–30 cm deep soil layer, possibly because after the interception of precipitation by soil crusts, precipitation was consumed by the shallow (0–30 cm deep) roots of the dominant Artemisia ordosica and evaporation of the crusts, instead of recharging to deeper soil. Yu and Steinberger [15] observed that the water content slightly increased in the 10–20 cm deep soil layer and then decreased in the 20–40 cm deep soil layer under Hammada scoparia, in the Negev Desert in Israel. The organic matter content of crust 1 which is physical crust was below 5 g/kg, indicating the depletion of soil fertility. The organic matter content of the well-developed moss crust was 5.1-times greater than that in the physical crust. The establishment and development of soil crust enhanced the accumulation of organic matter through extracellular polysaccharides [30]. This finding is consistent with the results of Guo et al. [1] who found that the contents of organic matter, total nitrogen, and total phosphorus in the bare Horqin Sand Land in Inner Mongolia ranged from 6.64 to 31.91, 0.48 to 1.33, and 0.13 to 0.23 g/kg, respectively, indicating the inherent infertility after long-term migration and leaching of humus and mineral elements. The activities of alkaline phosphatase, urease, protease, peroxidase, and the microbial biomass carbon and nitrogen contents increased simultaneously with the development of soil crust from the Sustainability 2017, 9, 725 12 of 15 physical crust to the algal crust to the moss crust. This finding indicated that the moss crust was desirable for microbial growth and reproduction, as well as enzyme activities due to its higher contents of water and organic matter, when compared to algal and physical crusts. Enzyme activities can accelerate the enzymatic reaction of organic matter, promote the circulation of organic compounds and, therefore, improve soil properties benefiting plant growth, and enhance biological soil crust formation. Yang et al. [31] and Pajares et al. [32] reported that soil enzymes and microbes promoted soil nutrient transformation and cycling, and can be used as indicators of quality changes of soils. The results of this study also suggested that soil crust formation is mainly accompanied by microbial activities. Additionally, the results supported previous studies that demonstrated that the development of soil crust can increase water availability, improve soil stability, and increase contents of organic matter, carbon, and nitrogen. These properties are the factors that are significantly affecting soil enzyme activities and microbial biomass in arid and semi-arid areas. The properties of the 0–30 cm deep soils below the algal and moss crusts were significantly improved when compared to those of the soil below the physical crust. Moreover, the moss crust had the most significant amelioration effect on the underlying soil. However, the influence of vegetation coverage and vegetation litter appeared to be limited as the amelioration effect decreased with depth. Furthermore, water content varied dramatically with depth. Organic matter content, microbial biomass carbon and nitrogen contents, and enzyme activities all decreased with depth. These findings are in accordance with Chamizo et al. [2], who reported that the underlying soil properties (e.g., aggregate stability, water content, organic carbon and nitrogen content) were higher under the moss crust than the physical crust. Similarly, Bolton et al. [33] indicated that soil microbial biomass carbon and nitrogen contents and soil enzyme activity were 2–15 times higher in the top 5 cm of soil than at the 5–15 cm depth regardless of plant type. In this study, at the depth of 0–6 cm, the underlying soil physicochemical and biological characteristics were significantly (except for organic matter content, alkaline phosphatase activity, peroxidase activity) improved from physical crust to moss crust (p < 0.05). Moreover, the amelioration effect mainly occurred under the well-developed moss crust rather than under the less-developed algal crust and physical crust. Guo et al. [1] demonstrated that biological crusts pose a significant influence on the properties (e.g., bulk density, organic matter content, nitrogen content, phosphorus content, electrical conductivity, pH and CaCO3 content) of the 0–5 cm deep layer underlying topsoil. Under the Artemisia ordosica cover, for example, the highest contents of organic matter, microbial biomass carbon and nitrogen, and enzyme activities in the crusts and 0–30 cm deep layers underlying soils were found in Crust and layers sample 3 (moss crust). Crust and layers sample 3 was dominated by the 53–250 µm aggregates. In contrast, under the Artemisia ordosica and Eragrostis poaeoides cover, Crust and layers sample 5 was dominated by the >250 µm aggregates, exhibiting an increasing trend in organic matter content with increasing aggregate size. Similarly, Jastrow et al. [34] demonstrated that organic matter content was greater in macro-aggregates (>212 µm) than in micro-aggregates (53–212 µm). This can be attributed to the different carbon sequestration ways between large aggregates and micro-aggregates. Large aggregates derived most of their organic matter from the decomposition of roots and hyphae which are easily affected by the environment and transformation, while micro-aggregates sequestrate carbon through the combination of organic and inorganic colloids [35]. Therefore, the organic carbon in micro-aggregates mainly consists of stable humus carbon, which is not easy to be mineralized. The contents of >250 µm aggregates and organic matter, microbial biomass carbon and nitrogen and enzyme activities under Artemisia ordosica and Eragrostis poaeoides cover were greater than those under Artemisia ordosica cover. Franzluebbers and Arshad [36] also observed that the microbial content and activity were greater in large aggregates in the Canadian Prairies. 4.2. Relationships between Vegetation Types and Soil Properties Regarding the same type of soil crust, the water retention, aggregate stability, organic matter content, enzyme activities, and microbial biomass carbon and nitrogen contents of the soil under Sustainability 2017, 9, 725 13 of 15 the Artemisia ordosica and Eragrostis poaeoides cover (algal crust 4 and moss crust 5) were significantly higher than the corresponding values of the soil under the Artemisia ordosica cover (algal crust 2 and moss crust 3) (p < 0.05). Thus, the complex crust-soil-vegetation system interaction has affected the physicochemical and biological properties of crusts and their underlying soils. The vegetation effects are dominated by the vegetation litter and root system. On the one hand, shrub can intercept and deposit atmospheric dust, and then the vegetation litter intercepts rainfall and suppresses transpiration [37]. In the current study, the cover of Artemisia ordosica helps the desert surface to resist wind erosion and promote crust development. Therefore, it is easy to form a feedback mechanism among vegetation litter, soil structure, and soil nutrients. Schlesinger and Pilmanis [38] found a high infiltration rate below desert shrubs as a result of better soil crumb structure and lower impact energy of raindrops. Read et al. [39] confirmed that biological crusts are generally developed from shrub vegetation as it can increase the surface roughness and surface clay content by capturing aeolian dust through dense foliage. On the other hand, vegetation roots provide effective carbon and nitrogen contents for microbial and enzyme activities by secreting metabolites into the rhizosphere during growth [40]. The herbaceous vegetation Eragrostis poaeoides is more conducive to nutrient accumulation and soil properties improvement due to its very large root system, and the decomposition of dead roots can gradually improve the underlying soil properties [5]. The type of vegetation cover is also of great importance to soil quality. It is a contributing factor for the better soil properties found in, for example, algal crust and layers sample 4 than crust and layers sample 2, and moss crust and layers sample 5 than crust and layers sample 3. 5. Conclusions The influence of the soil crust development on a range of properties of crust and layer samples collected from the Hobq Desert was investigated. The results demonstrated that organic matter, microbial biomass carbon and nitrogen contents, and enzyme activities of the crusts were significantly different at different soil crust development stages. The thickness, water content, and aggregate stability of the soil crusts increased with soil crust development, while the bulk density of the soil crusts decreased with soil crust development. The findings also indicated that soil crusts significantly improved the soil properties. In addition, moss crust had a more significant amelioration effect when compared to other less-developed crusts. The physicochemical and biological properties of the soils below the algal and moss crusts were significantly improved when compared to the physical crust. However, the effect of the soil crust development on the underlying soil quality was significant at shallow depths (∼0–12 cm deep) and decreased quickly with depth. The results suggested that the development of soil crust played a crucial role in improving the physicochemical and biological properties of the underlying soil. The development of soil crust can promote the growth of microorganisms and, ultimately, improve the soil microenvironment and ecological restoration in the desert region. Acknowledgments: This work was supported by the National Natural Science Foundation of China (No. 51379211). Author Contributions: Jiping Niu, Kai Yang, Zejun Tang, and Yitong Wang conceived and designed the experiments. Jiping Niu, Zejun Tang and Yitong Wang performed the experiments. Jiping Niu analyzed the data. Jiping Niu and Kai Yang wrote the paper. Conflicts of Interest: The authors declare no conflict of interest. References 1. 2. Guo, Y.; Zhao, H.; Zuo, X.; Drake, S.; Zhao, X. Biological soil crust development and its topsoil properties in the process of dune stabilization, Inner Mongolia, China. Environ. Geol. 2008, 54, 653–662. [CrossRef] Chamizo, S.; Cantón, Y.; Miralles, I.; Domingo, F. Biological soil crust development affects physicochemical characteristics of soil surface in semiarid ecosystems. 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