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Revista de la ciencia del suelo y nutrición vegetal

versión On-line ISSN 0718-2791

R.C. Suelo Nutr. Veg. v.10 n.2 Temuco  2010

http://dx.doi.org/10.4067/S0718-27912010000200001 

R.C. Suelo Nutr. Veg. 10(2): 93-101 (2010)

 

SOIL GLYCOSIDASE ACTIVITIES AND WATER SOLUBLE ORGANIC CARBON UNDER DIFFERENT LAND USE TYPES

 

X. Z. Ma1,2, L. J. Chen*1, Z. H. Chen1, Z.J. Wu1 L.L. Zhang1, Y.L. Zhang1

1Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016 (China)
2Institute of Soil Fertilizer and Environment Resource, Heilongjiang Academy of Agricultural Sciences, Harbin 150086, China. * Corresponding author: ljchenchina@hotmail.com


ABSTRACT

The purpose of this study was to measure the effects of different land uses on soil glycosidase activities (a- and (β-glucosidase, α- and (β-galactosidase), water soluble organic carbon (WSOC) and their relationships. Glycosidase activities showed significant differences under different land use types, the highest one was woodland. (β-glucosidase had the highest activity among the four glycosidases. The activities of these glycosidases decreased with increasing soil depth, being all significantly affected by change of soil depth. Except grassland, the four glycosidase activities intercorrelated each other. Woodland had the highest content of WSOC in the soil depth of 0-20 cm and at increasing soil depth, WSOC content decreased sharply under woodland and grassland. Glycosidase activities had positive and significant relationships with WSOC. Glycosidase activities and WSOC all had significant correlations with soil total organic carbon (TOC) and pH, which were sensitive to different land use types. We found that glycosidase activity indirectly impacts on nutrient recycling and energy flow in soil under different land use types.

Keywords: Glycosidase activities, Water soluble organic carbon, Land use, Soil depth.


INTRODUCTION

Different land use types not only had effects on soil structure, soil erosion and biodiversity (Crist et ah, 2000), but also on soil enzymes activities and soil nutrient cyclings (Gewin et al, 1999; Islam and Weil, 2000; Acosta-Martínez et al, 2003). Enzymes catalyze all biochemical reactions and are integral part of nutrient cycling in soil. Soil glycosidase is a group of hydrolases involved in the hydrolysis of soil glycosides, among which, α- and (β-glucosidase and α- and (β-galactosidase are the major members, widely distributed in nature (Eivazi and Tabatabai, 1990) and playing an important role in the carbon cycle of soil ecosystem. (β-glucosidase was sensitive to different soil management (Deng and Tabatabai, 1996; Bandick and Dick, 1999). Many researches had studied the effects of tillage (Deng and Tabatabai, 1996; Curci et ah, 1997), crop rotation (Bandick and Dick, 1999), fertilizer amendment (Mijangos et ah, 2006; Melero et ah, 2007; Sastre-Conde et ah, 2007) on glycosidase activities, but less studies are present about the effects of different land use types on glycosidase activities. Among the components of soil carbon storage, water-soluble organic carbon (WSOC) is the most dynamic C pool in soils. It is only a small proportion of the total organic matter in the soil, present in soil solution and passing a filter pore size of 0.45 urn (Herbert and Bertsch, 1995).

The WSOC could be used by microbes quickly, and it is a useful indicator reflecting the turnover rate of soil organic matter. Many researches had studied its response to fertilization and tillage management (Mazzarino et al, 1993; Erich and Trusty, 1997; Campbell et al, 1999; Chantigny et al, 1999), but little is know about its dynamics under different land uses, and its relations with soil glycosidase activities.

The present investigation has been aimed at studying the effect of different land use types on soil glycosidase activities and WSOC. In addition, relationships between glycosidase activities and WSOC were also studied.

 

MATERIALS AND METHODS

Study site

Shenyang Experimental Station of Ecology is a member of Chinese Ecosystem Research Network (CERN) under Chinese Academy of Sciences, and locates in the Sujiatun District of Shenyang City, Northeast China. This station was established in 1990, with a total area of about 15 hm2. Its soil is classified as aquic brown soil.

The mean annual temperature is 7.0-8.0°C, mean annual precipitation is 650-700 mm, and non-frost period is 147-164 days. Since its establishment, this station installed four types of land use, i.e., lowland for rice, upland for corn, grassland, and woodland for Populus canadensis.

Soil sampling

Soil samples were taken at the depths of 0-5, 5-10, 10-20, 20-30, 30-40 and 40-50 cm from each type of the lands in March 2004 by using a core sampler of 5 cm in diameter.

Four duplicates were installed for each type of the lands, and each sample was a composite of 5 cores. A portion of the samples was air-dried for physical and chemical analysis, and another portion was kept fresh for the determination of soil water soluble organic carbon content and enzyme activities.

Soil total organic carbon (TOC) and pH analysis

Soil pH was measured in soil: water suspension (1:2.5 ratio) with glass electrode (PSH-3C) (Lu, 2000); total organic carbon was determined with Liqui TOC analyzer (Elementar, German).

Determination of soil glycosidase activity

Glucosidase and galactosidase activities were determined as described by Eivazi and Tabatabai (1988), glycosidase activities were determined with p-nitrophenyl-glucopyranoside as substrate (50 mmol L-1), with incubation at pH 6.0 (modified universal buffer, MUB) and 37°C. After 1 h, 0.5 M CaCl2and pH 12.0 MUB were added to precipitate humic molecules responsible for brown coloration and extract p-nitrophenol, respectively.

The amount of ρ-nitrophenol released by glycosidases was determined colorimetrically at 410 nm (extinction coefficient is 0.9998**). Glycosidase activities were expressed as mg p-nitrophenol kg -1soil h-1.

Determination of soil water soluble organic carbon (WSOC)

Soil water soluble organic carbon (WSOC) was determined by shaking 50 g field-moist soil with 150 mL deionized water for 1 h (250 rpm), the suspension was centrifuged at 10000 rpm for 10 min, and the supernatant was collected with a 0.45 urn polycarbonate membrane filter under vacuum (Chantigny et al., 1999). The WSOC content was determined by using Liqui TOC analyzer (Elementar, German).

Statistical analysis

The results were analyzed statistically adopting analysis of variance (ANOVA), which were performed using SPSS 11.0 statistical package. Means separation was using Fisher's least significant difference (LSD)test at p≥.05.

 

RESULTS

Total organic C (TOC) content and pH value

TOC and pH value of the tested soils under different land use types are shown in Figure 1. There was the highest content of soil organic matter under woodland, followed by grassland, lowland and upland, in the order listed. The content of TOC decreased with soil depth increasing, sharply in the upper layer (0-10 cm) under woodland and grassland, then, changed gently. The pH value was smaller in upland than others, and was higher in the whole soil profiles except 0-5cm under grassland; it increased with soil depth increasing under upland, lowland and grassland, whereas, under woodland, it decreased in 0-20 cm, then increased below 20 cm.

Soil glycosidase activities

The activities of glycosidases were all significantly affected by changes of soil depth and land use and (β-glucosidase had the highest activity among them in the soil profiles under different land use types (Figure 2). Generally, they sharply decreased by increasing the soil layer from 0-5 cm to 5-20 cm, but gently in deeper layers, displaying the same distribution patterns observed for other soil enzymes. Among the four types of land use, woodland had the highest activities of a- and B-glucosidase and β-galactosidase in 0-10 cm soil layer, followed by grassland, lowland and upland, while lowland had a significantly higher a-galactosidase activity in this layer than other lands (Figure 2). The relationships between glycosidase activities and TOC, pH are shown in Table 1.

There were positive and significant relationships among glycosidases activities and TOC content (p.001) under four land use types, well, there were negative and significant relationships with soil pH (p0.001) in soil profiles except in woodland. Meanwhile, except α-glucosidase, other three glycosidases activities had positive relationships with soil pH (p0.05) in woodland. The vertical distribution of glycosidases activities had the close relationships with soil characteristics (TOC and pH) (Table 1). Linear regression analysis of the activities of the four enzymes showed that they were significantly intercorrelated in woodland, lowland and upland (Table 2). By contrast, there was no significant relationship between glucosidase and galactosidase in grassland (Table 2).

Soil water soluble organic carbon (WSOC)

Contents of soil water soluble organic carbon (WSOC) decreased sharply with soil depth increasing in woodland,grassland and lowland, but a smaller fluctuation in upland (Figure 3). Woodland had the highest WSOC content in 0-20 cm, well, the lowland, grassland and upland had lower content of WSOC. Four land use types [except for upland (n.s.)], there were significant and positive correlations between glycosidase activities and WSOC content (from r=0.66*** to r=0.90***) (Table 3). Results also showed that content of WSOC under lowland, grassland and woodland had significantly correlations with TOC (p𕟨.01), but not significant in upland; and there were negative and significant correlations with pH under lowland and grassland (p0.01) (Table 4).

 

DISCUSSION

Total organic C (TOC) and pH value

Different land use types affected the input and output of soil organic matter directly; vegetation also had significant effect on soil organic matter. Woodland always had higher content of TOC than cropland, due to many fallings back to soil, lots of root distributed widely in soils of woodland and grassland, so they had much higher content of soil TOC in the upper soil layer. Besides, the cultivation accelerated the decomposition of soil organic matter, made it decrease sharply (Davidson, 1986). Different land use types not only affect the content and distribution of C in soil directly, also had effects on some microbial conditions, which had close relationships with formation and transformation of C, then affect nutrient distribution indirectly.

Soil glycosidase activities

Different land use types had different levels of soil fertility. These changing trends of glycosidases activities decreasing with soil depth have been reported in many researches (Eivazi and Tabatabai, 1990; Deng and Tabatabai, 1996; Taylor et al, 2002), they were just like the tendency of organic C in soil profile, because these activities of glycosidases in soil and content of organic C always had significant and positive relationships, which had been proved by several investigators (Eivazi and Tabatabai, 1988; Bandick and Dick, 1999; Marx et al., 2005), our study also found the significant relationships between activities of glycosidases and TOC in the tested soils (Table 1).

 

 

In topsoil enzymes always had higher activities than other soil depth, the main reason maybe that there were higher content of soil organic matter and microbial biomass C, which would stimulate the activity of microorganism, and accelerate the rate of enzyme synthesize (Ekenler and Tabatabai, 2003). There were different enzyme activities under different land use types, due to the differences in organic C content among soils (Acosta-Martinez et al., 2007).

The β-glucosidase activity had close relationship with soil pH, which was conformed to other studies (Eivazi and Tabatabai, 1990; Wang and Lu, 2006), they found that β-glucosidase activity decreased with increasing pH from 4.3 to 7.4, 4.5 to 8.5 respectively, in this study it decreased with pH increasing from 5.4 to 7.8. However, Deng and Tabatabai (1996) found the inconsistent relationship between (β-glucosidase activity and soil pH, significant and positive correlation between them. The main reason maybe that soil pH influenced soil microorganism, synthesis and secretion of enzymes, also the stability of enzymes (Wang and Lu, 2006). Besides, the differences in enzyme activities found in soil samples also may have been due to the difference in soil pH, because the rates of synthesis and release of these enzymes by soil microorganisms are related to soil pH (Deng and Tabatabai, 1996).

The α- and (β-glucosidase and (β-galactosidase had higher activities under woodland than other land use types. In woodland, there were some kinds of litter fallings remained on or in the soils, higher content of organic matter, higher enzymes activities. Investigators also had found that enzymatic characteristic of soil was very sensitive, and could do as a potential quality index of soil system (Bandick and Dick, 1999). Activity of (β-glucosidase was the highest one in this study, which was conformed to former studiers (Eivazi and Tabatabai, 1988; Ekenler and Tabatabai, 2003), which meant that (β-glucosidase was sensitive to changes of land use types, α- and (β-glucosidase and α-and (β-galactosidase activities were significantly intercorrelated, suggest that glycosidase have similar origin and persistence in soil (Bandick and Dick, 1999; Acosta-Martinez et ah, 2007). We may conclude that glucosidase and galactosidase have a different origin under grassland.

Soil water soluble organic carbon

Soil water soluble organic carbon was only fewer percents of soil total organic carbon, but as the active part. Land uses and management practices could affect soil properties, and also influence WSOC. Soil properties determine organic matter solubility. WSOC content in soil profile decreased with soil depth increasing, maybe due to close relationships between WSOC with soil total organic carbon, which showed similar trends in soil profiles. Generally, large numbers of soluble organic matter were eluviated from residues layer to mineral layer in forest soil, so that amount of WSOC in the topsoil was always higher than other soil depths.

In general, WSOC concentrations varied in different land uses, such as the forest soils, grassland soils, arable soils and so on, mostly due to different vegetation types (Delprat et ah, 1997; Haynes, 2000). Besides, we also had learned that fertilization could affect the content of WSOC greatly (Zsolnay and Gorlitz, 1994; Jensen et ah, 1997; Martin-Olmedo and Rees, 1999). Chantigny (2003) found that content of WSOC decreased with increasing amount of nitrogenous fertilizer as a result, upland had higher content of WSOC than other land uses. Another factor was moisture, Christ and David (1996) found that the total amount of WSOC leaching from forest soil were increasing with times of leaching, so that the woodland and lowland had higher content of WSOC, the other possible reason would be the material returned to the soil by tree canopy, which contained more lignin and other recalcitrant compounds than agricultural crop residues (Chantigny, 2003). The WSOC content in upland was lower than others, due to the reasons of fertilization and moisture (Christ and David, 1996), the biochemical and physical environment of upland were different from other land uses. In this study, there was significant and negative correlation between WSOC and soil pH in soil profile under lowland and grassland (p0.01), while not in upland and woodland.

 

CONCLUSIONS

The present results clearly showed that different land use types had profound impact on soil glycosidase activities and content of water soluble organic carbon (WSOC), which were all decreasing with soil depth increasing. Besides, (β-glucosidase was most sensitive to different land uses. Close relationships among glycosidase activities, WSOC and total organic carbon (TOC) contents, meant that glycosidase activity would be indicators for changing in soil quality, which also indicated that effects of different land uses on soil biological activity are very important.

 

ACKNOWLEDGMENTS

This research was funded by Research and Demonstration of Agricultural Science (2007-3), Public Sector's Special Research of Ministry of Agriculture. The authors thank Shenyang Experimental Station of Ecology, which is a member of Chinese Ecosystem Research Network (CERN) under Chinese Academy of Sciences, for its support to collect soil samples.

 

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