Vegetation patterns influence on soil microbial biomass and functional diversity in a hilly area of the Loess Plateau, China

Purpose Shifts of microbial biomass and functional diversity under different vegetation patterns can impact the soil processes, and the specific knowledge about this can be used to develop sound vegetation restoration strategies. This study was devoted to examine the effects of different vegetation...

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Veröffentlicht in:Journal of soils and sediments 2010-09, Vol.10 (6), p.1082-1091
Hauptverfasser: Hu, Chanjuan, Fu, Bojie, Liu, Guohua, Jin, Tiantian, Guo, Lei
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container_end_page 1091
container_issue 6
container_start_page 1082
container_title Journal of soils and sediments
container_volume 10
creator Hu, Chanjuan
Fu, Bojie
Liu, Guohua
Jin, Tiantian
Guo, Lei
description Purpose Shifts of microbial biomass and functional diversity under different vegetation patterns can impact the soil processes, and the specific knowledge about this can be used to develop sound vegetation restoration strategies. This study was devoted to examine the effects of different vegetation patterns on microbial biomass and functional diversity and explore the relationship between soil erosion and soil microbial properties under typical erosion conditions of the semiarid hilly area of the Loess Plateau, China. Materials and methods Soil samples were collected from the Yangjuangou catchment near Yan’an City, northern Shaanxi province, China. Four types of slopes, each with different vegetation pattern, were sampled, including F (forest planted by human), G (grass), G–F–G (grass on the upper and lower slopes and forest on the middle slope), and F–G–F (forest on the upper and lower slopes and grass on the middle slope). Top soil samples (0–10 cm) from each of the four slopes were analyzed for their physicochemical properties, microbial biomass, and functional diversity. The microbial biomass was analyzed using the fumigation–extraction method and microbial functional diversity using the community-level physiological profile method. Results and discussion The analysis of variance revealed a trend of increasing nutrient concentrations and soil microbial biomass nitrogen in the G–F–G soil samples. However, the F–G–F slope had the highest microbial biomass carbon, with an average of 289 mg kg −1 and had the highest average well color development values (up to 120 h of incubation), which is used as an indicator of microbial activity. Mean values of Shannon diversity (H′), which are indicative of soil microbial functional diversity, ranged from only 2.75 for F to 2.82 for F–G–F. Principal component analysis showed that the four vegetation patterns had differences that are consistent with different carbon substrate utilization patterns. The greatest differences in single-carbon substrate utilization were between F–G–F and F and between F–G–F and G–F–G. Conclusions The F–G–F vegetation pattern was the best pattern for restoring soils on sloping land in terms of improving soil microbial biomass carbon, soil microbial functional diversity, and activity. Soil erosion processes might have an indirect effect on soil microbial biomass through its influence on soil physicochemical properties in the typical erosion-prone region of the Loess Plateau, China.
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This study was devoted to examine the effects of different vegetation patterns on microbial biomass and functional diversity and explore the relationship between soil erosion and soil microbial properties under typical erosion conditions of the semiarid hilly area of the Loess Plateau, China. Materials and methods Soil samples were collected from the Yangjuangou catchment near Yan’an City, northern Shaanxi province, China. Four types of slopes, each with different vegetation pattern, were sampled, including F (forest planted by human), G (grass), G–F–G (grass on the upper and lower slopes and forest on the middle slope), and F–G–F (forest on the upper and lower slopes and grass on the middle slope). Top soil samples (0–10 cm) from each of the four slopes were analyzed for their physicochemical properties, microbial biomass, and functional diversity. The microbial biomass was analyzed using the fumigation–extraction method and microbial functional diversity using the community-level physiological profile method. Results and discussion The analysis of variance revealed a trend of increasing nutrient concentrations and soil microbial biomass nitrogen in the G–F–G soil samples. However, the F–G–F slope had the highest microbial biomass carbon, with an average of 289 mg kg −1 and had the highest average well color development values (up to 120 h of incubation), which is used as an indicator of microbial activity. Mean values of Shannon diversity (H′), which are indicative of soil microbial functional diversity, ranged from only 2.75 for F to 2.82 for F–G–F. Principal component analysis showed that the four vegetation patterns had differences that are consistent with different carbon substrate utilization patterns. The greatest differences in single-carbon substrate utilization were between F–G–F and F and between F–G–F and G–F–G. Conclusions The F–G–F vegetation pattern was the best pattern for restoring soils on sloping land in terms of improving soil microbial biomass carbon, soil microbial functional diversity, and activity. Soil erosion processes might have an indirect effect on soil microbial biomass through its influence on soil physicochemical properties in the typical erosion-prone region of the Loess Plateau, China.</description><identifier>ISSN: 1439-0108</identifier><identifier>EISSN: 1614-7480</identifier><identifier>DOI: 10.1007/s11368-010-0209-3</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer-Verlag</publisher><subject>Biomass ; Carbon ; Earth and Environmental Science ; Environ Risk Assess ; Environment ; Environmental Physics ; Environmental restoration ; Fumigation ; Grasses ; Microbial activity ; Nutrient concentrations ; Physicochemical properties ; Principal components analysis ; Sec 2 • Global Change ; Slopes ; Soil erosion ; Soil microorganisms ; Soil properties ; Soil Science &amp; Conservation ; Soil sciences ; Soils ; Sustainable Land Use • Research Article ; Variance analysis ; Vegetation patterns</subject><ispartof>Journal of soils and sediments, 2010-09, Vol.10 (6), p.1082-1091</ispartof><rights>Springer-Verlag 2010</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a413t-e5b54fc177359682fffddde83a96634e430246b9a24dcf4fe21c0276240d7e3f3</citedby><cites>FETCH-LOGICAL-a413t-e5b54fc177359682fffddde83a96634e430246b9a24dcf4fe21c0276240d7e3f3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11368-010-0209-3$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11368-010-0209-3$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>315,781,785,27928,27929,41492,42561,51323</link.rule.ids></links><search><creatorcontrib>Hu, Chanjuan</creatorcontrib><creatorcontrib>Fu, Bojie</creatorcontrib><creatorcontrib>Liu, Guohua</creatorcontrib><creatorcontrib>Jin, Tiantian</creatorcontrib><creatorcontrib>Guo, Lei</creatorcontrib><title>Vegetation patterns influence on soil microbial biomass and functional diversity in a hilly area of the Loess Plateau, China</title><title>Journal of soils and sediments</title><addtitle>J Soils Sediments</addtitle><description>Purpose Shifts of microbial biomass and functional diversity under different vegetation patterns can impact the soil processes, and the specific knowledge about this can be used to develop sound vegetation restoration strategies. This study was devoted to examine the effects of different vegetation patterns on microbial biomass and functional diversity and explore the relationship between soil erosion and soil microbial properties under typical erosion conditions of the semiarid hilly area of the Loess Plateau, China. Materials and methods Soil samples were collected from the Yangjuangou catchment near Yan’an City, northern Shaanxi province, China. Four types of slopes, each with different vegetation pattern, were sampled, including F (forest planted by human), G (grass), G–F–G (grass on the upper and lower slopes and forest on the middle slope), and F–G–F (forest on the upper and lower slopes and grass on the middle slope). Top soil samples (0–10 cm) from each of the four slopes were analyzed for their physicochemical properties, microbial biomass, and functional diversity. The microbial biomass was analyzed using the fumigation–extraction method and microbial functional diversity using the community-level physiological profile method. Results and discussion The analysis of variance revealed a trend of increasing nutrient concentrations and soil microbial biomass nitrogen in the G–F–G soil samples. However, the F–G–F slope had the highest microbial biomass carbon, with an average of 289 mg kg −1 and had the highest average well color development values (up to 120 h of incubation), which is used as an indicator of microbial activity. Mean values of Shannon diversity (H′), which are indicative of soil microbial functional diversity, ranged from only 2.75 for F to 2.82 for F–G–F. Principal component analysis showed that the four vegetation patterns had differences that are consistent with different carbon substrate utilization patterns. The greatest differences in single-carbon substrate utilization were between F–G–F and F and between F–G–F and G–F–G. Conclusions The F–G–F vegetation pattern was the best pattern for restoring soils on sloping land in terms of improving soil microbial biomass carbon, soil microbial functional diversity, and activity. Soil erosion processes might have an indirect effect on soil microbial biomass through its influence on soil physicochemical properties in the typical erosion-prone region of the Loess Plateau, China.</description><subject>Biomass</subject><subject>Carbon</subject><subject>Earth and Environmental Science</subject><subject>Environ Risk Assess</subject><subject>Environment</subject><subject>Environmental Physics</subject><subject>Environmental restoration</subject><subject>Fumigation</subject><subject>Grasses</subject><subject>Microbial activity</subject><subject>Nutrient concentrations</subject><subject>Physicochemical properties</subject><subject>Principal components analysis</subject><subject>Sec 2 • Global Change</subject><subject>Slopes</subject><subject>Soil erosion</subject><subject>Soil microorganisms</subject><subject>Soil properties</subject><subject>Soil Science &amp; Conservation</subject><subject>Soil sciences</subject><subject>Soils</subject><subject>Sustainable Land Use • Research Article</subject><subject>Variance analysis</subject><subject>Vegetation patterns</subject><issn>1439-0108</issn><issn>1614-7480</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2010</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp1kU1rGzEQhkVpoKmTH9Cb6CWXbCqttNLuMZh-gaE5JLmK8e7IVpAlR9IWDPnxlXGgEMhphpn3GWbmJeQLZzecMf0tcy5U3zDOGtayoREfyDlXXDZa9uxjzaUYjt3-E_mc8xNjQtf2OXl5xA0WKC4GuodSMIVMXbB-xjAirdUcnac7N6a4duDp2sUd5EwhTNTOYTyStTy5v5iyK4cKU6Bb5_2BQkKg0dKyRbqKWKk7DwVhvqbLrQtwQc4s-IyXr3FBHn58v1_-alZ_fv5e3q4akFyUBrt1J-3ItRbdoPrWWjtNE_YCBqWERClYK9V6gFZOo5UWWz6yVqtWskmjsGJBrk5z9yk-z5iL2bk8ovcQMM7Z9J3SnZRKVuXXN8qnOKd6YDZaKqGGoW60IPwkqj_JOaE1--R2kA6GM3N0w5zcMPXf5uiGEZVpT0yu2rDB9H_w-9A_hJCNtg</recordid><startdate>20100901</startdate><enddate>20100901</enddate><creator>Hu, Chanjuan</creator><creator>Fu, Bojie</creator><creator>Liu, Guohua</creator><creator>Jin, Tiantian</creator><creator>Guo, Lei</creator><general>Springer-Verlag</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7ST</scope><scope>7UA</scope><scope>7X2</scope><scope>7XB</scope><scope>88I</scope><scope>8FE</scope><scope>8FH</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>GNUQQ</scope><scope>H96</scope><scope>H97</scope><scope>HCIFZ</scope><scope>L.G</scope><scope>M0K</scope><scope>M2P</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>SOI</scope><scope>7T7</scope><scope>8FD</scope><scope>FR3</scope><scope>P64</scope></search><sort><creationdate>20100901</creationdate><title>Vegetation patterns influence on soil microbial biomass and functional diversity in a hilly area of the Loess Plateau, China</title><author>Hu, Chanjuan ; 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Aquatic Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><collection>Environment Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><jtitle>Journal of soils and sediments</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hu, Chanjuan</au><au>Fu, Bojie</au><au>Liu, Guohua</au><au>Jin, Tiantian</au><au>Guo, Lei</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Vegetation patterns influence on soil microbial biomass and functional diversity in a hilly area of the Loess Plateau, China</atitle><jtitle>Journal of soils and sediments</jtitle><stitle>J Soils Sediments</stitle><date>2010-09-01</date><risdate>2010</risdate><volume>10</volume><issue>6</issue><spage>1082</spage><epage>1091</epage><pages>1082-1091</pages><issn>1439-0108</issn><eissn>1614-7480</eissn><abstract>Purpose Shifts of microbial biomass and functional diversity under different vegetation patterns can impact the soil processes, and the specific knowledge about this can be used to develop sound vegetation restoration strategies. This study was devoted to examine the effects of different vegetation patterns on microbial biomass and functional diversity and explore the relationship between soil erosion and soil microbial properties under typical erosion conditions of the semiarid hilly area of the Loess Plateau, China. Materials and methods Soil samples were collected from the Yangjuangou catchment near Yan’an City, northern Shaanxi province, China. Four types of slopes, each with different vegetation pattern, were sampled, including F (forest planted by human), G (grass), G–F–G (grass on the upper and lower slopes and forest on the middle slope), and F–G–F (forest on the upper and lower slopes and grass on the middle slope). Top soil samples (0–10 cm) from each of the four slopes were analyzed for their physicochemical properties, microbial biomass, and functional diversity. The microbial biomass was analyzed using the fumigation–extraction method and microbial functional diversity using the community-level physiological profile method. Results and discussion The analysis of variance revealed a trend of increasing nutrient concentrations and soil microbial biomass nitrogen in the G–F–G soil samples. However, the F–G–F slope had the highest microbial biomass carbon, with an average of 289 mg kg −1 and had the highest average well color development values (up to 120 h of incubation), which is used as an indicator of microbial activity. Mean values of Shannon diversity (H′), which are indicative of soil microbial functional diversity, ranged from only 2.75 for F to 2.82 for F–G–F. Principal component analysis showed that the four vegetation patterns had differences that are consistent with different carbon substrate utilization patterns. The greatest differences in single-carbon substrate utilization were between F–G–F and F and between F–G–F and G–F–G. Conclusions The F–G–F vegetation pattern was the best pattern for restoring soils on sloping land in terms of improving soil microbial biomass carbon, soil microbial functional diversity, and activity. Soil erosion processes might have an indirect effect on soil microbial biomass through its influence on soil physicochemical properties in the typical erosion-prone region of the Loess Plateau, China.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer-Verlag</pub><doi>10.1007/s11368-010-0209-3</doi><tpages>10</tpages><oa>free_for_read</oa></addata></record>
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subjects Biomass
Carbon
Earth and Environmental Science
Environ Risk Assess
Environment
Environmental Physics
Environmental restoration
Fumigation
Grasses
Microbial activity
Nutrient concentrations
Physicochemical properties
Principal components analysis
Sec 2 • Global Change
Slopes
Soil erosion
Soil microorganisms
Soil properties
Soil Science & Conservation
Soil sciences
Soils
Sustainable Land Use • Research Article
Variance analysis
Vegetation patterns
title Vegetation patterns influence on soil microbial biomass and functional diversity in a hilly area of the Loess Plateau, China
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