Journal of Soils and Sediments

, Volume 13, Issue 5, pp 887–894 | Cite as

Non-linear impacts of Eucalyptus plantation stand age on soil microbial metabolic diversity

  • Falin Chen
  • Hua Zheng
  • Kai Zhang
  • Zhiyun Ouyang
  • Yongfu Wu
  • Qian Shi
  • Huailin Li
SOILS, SEC 2 • GLOBAL CHANGE, ENVIRON RISK ASSESS, SUSTAINABLE LAND USE • RESEARCH ARTICLE

Abstract

Purpose

Although it is generally accepted that planting exotic plant species alters metabolic function of soil microbial communities, its temporal dynamic is often ignored when evaluating ecological effects of associated land use changes. To investigate the dynamic impacts of successive Eucalyptus planting on carbon metabolic activities of soil microbial communities, we studied community-level physiological profiles of soil microbial communities in different generations of Eucalyptus plantations.

Materials and methods

We studied community-level physiological profiles of soil microbial communities, using the Biolog™ Ecoplates incubation, in adjacent first (G1), second (G2), third (G3), and fourth (G4) generation Eucalyptus plantations that were, respectively, aged 3, 8, 14, and 19 years in Guangxi province, southern China. We used the ‘space-for-time substitution’ approach to investigate the impact of stand age of exotic Eucalyptus plantations on carbon metabolic diversity and activities of soil microbial communities. For each Eucalyptus plantation generation, three experimental plots were randomly selected. In each plot, one composite soil sample from 0 to 10 cm in depth was obtained for the analyses.

Results and discussion

Single carbon source utilization varied with Eucalyptus plantation stand age. Among preselected 31 carbon sources, utilization of 17 carbon sources changed significantly, which was best described by a quadratic function (ten carbon sources) and an exponential function (seven carbon sources). As a result, cumulative averaged metabolic activity and metabolic diversity of soil microbial communities showed quadratic and exponential changes relative to Eucalyptus plantation stand age. The order of cumulative averaged carbon metabolic activity and metabolic diversity were G1 > G4, G3 > G2 and G1 > G2 > G3, G4 (p < 0.05), respectively. The factors contributing to carbon source utilization structure of soil microbial communities for different stand ages of Eucalyptus plantations were shrub richness, soil organic carbon content, microbial biomass carbon, C-to-N ratio, and N-to-P ratio.

Conclusions

Eucalyptus plantation stand age has inconsistent non-linear impacts on two aspects of soil microbial metabolic function: (1) quadratic impacts on carbon metabolic efficiency and (2) exponential impacts on carbon metabolic diversity. The decreasing carbon metabolic diversity has no significant impact on carbon metabolic efficiency during successive Eucalyptus plantings. The results show that the importance of assessing long-term impacts of land use changes on soil microbial communities from exotic plantations by quantifying multi-aspect non-linear changes on soil microbial metabolic function.

Keywords

Biolog Eucalyptus Exotic species Plantation stand age Soil microbial metabolic diversity 

References

  1. Allen AS, Schlesinger WH (2004) Nutrient limitations to soil microbial biomass and activity in loblolly pine forests. Soil Biol Biochem 36:581–589CrossRefGoogle Scholar
  2. Andersson M, Michelsen A, Jensen M, Kjoller A (2004) Tropical savannah woodland: effects of experimental fire on soil microorganisms and soil emissions of carbon dioxide. Soil Biol Biochem 36:849–858CrossRefGoogle Scholar
  3. Bao SD (2000) Soil and Agricultural Chemistry Analysis, 3rd edn. China Agriculture Press, Beijing (in Chinese)Google Scholar
  4. Berthrong ST, Schadt CW, Pineiro G, Jackson RB (2009) Afforestation alters the composition of functional genes in soil and biogeochemical processes in South American grasslands. Appl Environ Microbiol 75:6240–6248CrossRefGoogle Scholar
  5. Burton J, Chen CR, Xu ZH, Ghadiri H (2010) Soil microbial biomass, activity and community composition in adjacent native and plantation forests of subtropical Australia. J Soils Sediments 10:1267–1277CrossRefGoogle Scholar
  6. Campbell CD, Grayston SJ, Hirst DJ (1997) Use of rhizosphere carbon sources in sole carbon source tests to discriminate soil microbial communities. J Microbiol Methods 30:33–41CrossRefGoogle Scholar
  7. Chauvat M, Zaitsev AS, Wolters V (2003) Successional changes of Collembola and soil microbiota during forest rotation. Oecologia 137:269–276CrossRefGoogle Scholar
  8. Chen CR, Xu ZH, Mathers NJ (2004) Soil carbon pools in adjacent natural and plantation forests of subtropical Australia. Soil Sci Soc Am J 68:282–291Google Scholar
  9. Chen Z, Wang XK, Yao FF, Zheng FX, Feng ZZ (2010) Elevated ozone changed soil microbial community in a rice paddy. Soil Sci Soc Am J 74:829–837CrossRefGoogle Scholar
  10. Compton JE, Watrud LS, Porteous LA, DeGrood S (2004) Response of soil microbial biomass and community composition to chronic nitrogen additions at Harvard forest. For Ecol Manage 196:143–158CrossRefGoogle Scholar
  11. De Marco A, Gentile AE, Arena C, De Santo AV (2005) Organic matter, nutrient content and biological activity in burned and unburned soils of a Mediterranean maquis area of southern Italy. Int J Wildland Fire 14:365–377CrossRefGoogle Scholar
  12. Dooley SR, Treseder KK (2012) The effect of fire on microbial biomass: a meta-analysis of field studies. Biogeochemistry 109:49–61CrossRefGoogle Scholar
  13. Frey SD, Knorr M, Parrent JL, Simpson RT (2004) Chronic nitrogen enrichment affects the structure and function of the soil microbial community in temperate hardwood and pine forests. For Ecol Manage 196:159–171CrossRefGoogle Scholar
  14. Garland JL, Mills AL (1991) Classification and characterization of heterotrophic microbial communities on the basis of patterns of community-level sole-carbon-source utilization. Appl Environ Microbiol 57:2351–2359Google Scholar
  15. Gong JR, Ge ZW, An R, Duan QW, You X, Huang YM (2012) Soil respiration in poplar plantations in northern China at different forest ages. Plant Soil 360:109–122CrossRefGoogle Scholar
  16. Haack SK, Garchow H, Klug MJ, Forney LJ (1995) Analysis of factors affecting the accuracy, reproducibility, and interpretation of microbial community carbon source utilization patterns. Appl Environ Microbiol 61:1458–1468Google Scholar
  17. Hackett CA, Griffiths BS (1997) Statistical analysis of the time-course of Biolog substrate utilization. J Microbiol Methods 30:63–69CrossRefGoogle Scholar
  18. Högberg P, Read DJ (2006) Towards a more plant physiological perspective on soil ecology. Trends Ecol Evol 21:548–554CrossRefGoogle Scholar
  19. Iovieno P, Alfani A, Bååth E (2010) Soil microbial community structure and biomass as affected by Pinus pinea plantation in two Mediterranean areas. Appl Soil Ecol 45:56–63CrossRefGoogle Scholar
  20. Johnston JM, Crossley DA (2002) Forest ecosystem recovery in the southeast US: soil ecology as an essential component of ecosystem management. For Ecol Manage 155:187–203CrossRefGoogle Scholar
  21. Kaufmann K, Christophersen M, Buttler A, Harms H, Hohener P (2004) Microbial community response to petroleum hydrocarbon contamination in the unsaturated zone at the experimental field site Vaerlose, Denmark. FEMS Microbiol Ecol 48:387–399CrossRefGoogle Scholar
  22. Langley JA, Hungate BA (2003) Mycorrhizal controls on belowground litter quality. Ecology 84:2302–2312CrossRefGoogle Scholar
  23. Lima AMN, Silva IR, Neves JCL, Novais RF, Barros NF, Mendonca ES, Smyth TJ, Moreira MS, Leite FP (2006) Soil organic carbon dynamics following afforestation of degraded pastures with Eucalyptus in southeastern Brazil. For Ecol Manage 235:219–231CrossRefGoogle Scholar
  24. Liu ZF, Wu JP, Zhou LX, Lin YB, Fu SL (2012) Tree girdling effect on bacterial substrate utilization pattern depending on stand age and soil microclimate in Eucalyptus plantations. Appl Soil Ecol 54:7–13CrossRefGoogle Scholar
  25. Ma XX, Gong W, Hu TX, Wang JY, Li XP, Shi W (2010) Effects of conversion of natural forest and slope farmland to Eucalyptus grandis plantation on soil nutrients. J Sichuan Agric Univ 28:56–60 (in Chinese)Google Scholar
  26. Mitchell RJ, Hester AJ, Campbell CD, Chapman SJ, Cameron CM, Hewison RL, Potts JM (2012) Explaining the variation in the soil microbial community: do vegetation composition and soil chemistry explain the same or different parts of the microbial variation? Plant Soil 351:355–362CrossRefGoogle Scholar
  27. Neary DG, Klopatek CC, DeBano LF, Ffolliott PF (1999) Fire effects on belowground sustainability: a review and synthesis. For Ecol Manage 122:51–71CrossRefGoogle Scholar
  28. Nilsson MC, Wardle DA (2005) Understory vegetation as a forest ecosystem driver: evidence from the northern Swedish boreal forest. Front Ecol Environ 3:421–428CrossRefGoogle Scholar
  29. Palese AM, Giovannini G, Lucchesi S, Dumontet S, Perucci P (2004) Effect of fire on soil C, N and microbial biomass. Agronomie 24:47–53CrossRefGoogle Scholar
  30. Pickett STA (1989) Space-for-time substitution as an alternative to long-term studies. In: Likens GE (ed) Long-term Studies in Ecology. Springer, Berlin Heidelberg New York, pp 110–135CrossRefGoogle Scholar
  31. Preston-Mafham J, Boddy L, Randerson PF (2002) Analysis of microbial community functional diversity using sole-carbon-source utilisation profiles—a critique. FEMS Microbiol Ecol 42:1–14Google Scholar
  32. Sauheitl L, Glaser B, Dippold M, Leiber K, Weigelt A (2010) Amino acid fingerprint of a grassland soil reflects changes in plant species richness. Plant Soil 334:353–363CrossRefGoogle Scholar
  33. Sicardi M, Garcia-Prechac F, Frioni L (2004) Soil microbial indicators sensitive to land use conversion from pastures to commercial Eucalyptus grandis (Hill ex Maiden) plantations in Uruguay. Appl Soil Ecol 27:125–133CrossRefGoogle Scholar
  34. Stephan A, Meyer AH, Schmid B (2000) Plant diversity affects culturable soil bacteria in experimental grassland communities. J Ecol 88:988–998CrossRefGoogle Scholar
  35. Teklay T, Shi Z, Attaeian B, Chang SX (2010) Temperature and substrate effects on C & N mineralization and microbial community function of soils from a hybrid poplar chronosequence. Appl Soil Ecol 46:413–421CrossRefGoogle Scholar
  36. Treseder KK (2008) Nitrogen additions and microbial biomass: a meta-analysis of ecosystem studies. Ecol Lett 11:1111–1120CrossRefGoogle Scholar
  37. Trofymow JA, Porter GL (1998) Introduction to the coastal forest chronosequence project. In: Trofymow JA, MacKinnon A (eds) Proceedings of a Workshop on Structure, Process, and Diversity in Successional Forests of Coastal British Columbia, Victoria, British Columbia. Northwest Science vol 72. Washington State University Press, Washington, pp 4–8Google Scholar
  38. Vance ED, Brookes PC, Jenkinson DS (1987) An extraction method for measuring soil microbial biomass-C. Soil Biol Biochem 19:703–707CrossRefGoogle Scholar
  39. Wang B, Liu G, Xue S (2012) Effect of black locust (Robinia pseudoacacia) on soil chemical and microbiological properties in the eroded hilly area of China’s Loess Plateau. Environ Earth Sci 65:597–607CrossRefGoogle Scholar
  40. Winding AK (1994) Fingerprinting bacterial soil communities using Biolog microtitre plates. In: Ritz K, Dighton J, Giller KE (eds) Beyond the Biomass: Compositional and Functional Analysis of Soil Microbial Communities. Wiley, Chichester, pp 85–94Google Scholar
  41. Xu ZH, Chen CR (2006) Fingerprinting global climate change and forest management within rhizosphere carbon and nutrient cycling processes. Environ Sci Pollu R 13:293–298CrossRefGoogle Scholar
  42. Xu ZH, Ward S, Chen CR, Blumfield T, Prasolova N, Liu JX (2008) Soil carbon and nutrient pools, microbial properties and gross nitrogen transformations in adjacent natural forest and hoop pine plantations of subtropical Australia. J Soils Sediments 8:99–105CrossRefGoogle Scholar
  43. Yan M, Zhang X, Zhou G, Gong J, You X (2011) Temporal and spatial variation in soil respiration of poplar plantations at different developmental stages in Xinjiang, China. J Arid Environ 75:51–57CrossRefGoogle Scholar
  44. Yarwood SA, Myrold DD, Hogberg MN (2009) Termination of belowground C allocation by trees alters soil fungal and bacterial communities in a boreal forest. FEMS Microbiol Ecol 70:151–162CrossRefGoogle Scholar
  45. Yuan BC, Yue DX (2012) Soil microbial and enzymatic activities across a chronosequence of Chinese pine plantation development on the Loess Plateau of China. Pedosphere 22:1–12CrossRefGoogle Scholar
  46. Zheng H, Ouyang ZY, Wang XK, Fang ZG, Zhao TQ, Miao H (2005) Effects of regenerating forest cover on soil microbial communities: a case study in hilly red soil region, Southern China. For Ecol Manage 217(2–3):244–254CrossRefGoogle Scholar
  47. Zheng Y, Liu XZ, Zhang LM, Zhou ZF, He JZ (2010) Do land utilization pattern affect methanotrophic communities in a Chinese upland red soil? J Environ Sci 22:1936–1943CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Falin Chen
    • 1
  • Hua Zheng
    • 1
  • Kai Zhang
    • 1
  • Zhiyun Ouyang
    • 1
  • Yongfu Wu
    • 2
  • Qian Shi
    • 2
  • Huailin Li
    • 2
  1. 1.State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental SciencesChinese Academy of SciencesBeijingPeople’s Republic of China
  2. 2.Guangxi State Dongmen Forest FarmFusuiPeople’s Republic of China

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