Overstory and understory vegetation interact to alter soil community composition and activity
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To test if there is an interactive effect between tree and understory species on the soil microbial community (SMC), community level physiological profiles (CLPP) and soil micro-fauna.
A replicate pot experiment with five sapling tree species (Betula pendula, Betula pubescens, Sorbus aucuparia, Quercus petraea and Pinus sylvestris) and a no-tree treatment with and without Calluna vulgaris was established. After 21 months samples were taken for phospholipid fatty acid (PLFA) analysis, CLPP and soil microfauna assessment.
There was an interactive effect of tree species and Calluna on the SMC, CLPP and nematode densities. Calluna addition changed the SMC composition (increase in fungal PLFAs) and the CLPP (lower utilisation of most carbon sources but greater utilisation of phenolic acids). A multivariate test for homogeneity of dispersion showed that while Calluna addition resulted in the presence of an altered microbial composition, it did not result in there being less variability among the samples with Calluna than among the samples without Calluna. Sapling trees with Calluna present grew less well than trees without Calluna. Structural equation modelling showed that it is possible that Calluna had an indirect effect on the SMC via below-ground tree biomass as well as a direct effect.
Interactions between trees and understory vegetation can impact on the composition of soil biota and their activity.
KeywordsCarbon utilisation Community level physiological profile Enchytraeids Foundation species Nematode Plant-soil interaction PLFA Structural equation modelling
- Anderson MJ (2005) PERMANOVA: a FORTRAN computer program for permutational multivariate analysis of variance. Department of Statistics, University of Auckland, New Zealand. http://www.stat.auckland.ac.nz/~mja/Programs.htm
- Anderson MJ (2004) PERMDISP: a FORTRAN computer program for permutational analysis of multivariate dispersions (for any two-factor ANOVA design) using permutation tests. Department of Statistics, University of Auckland, New Zealand. http://www.stat.auckland.ac.nz/~mja/Programs.htm
- Bardgett RD, Wardle DA (2010) Aboveground- Belowground Linkages. Biotic Interactions, Ecosystem processes, and global change. Oxford Univeristy, Oxford, p 301Google Scholar
- Huhta V, Sulkava P, Viberg K (1998) Interactions between enchytraeid (Cognettia sphagnetorum) microarthropod and nematode populations in forest soil at different moistures. ApplSoil Ecol 9:53–58Google Scholar
- Lavelle P, Bignell D, Lepage M, Wolters V, Roger P, Ineson P, Heal OW, Dhillion S (1997) Soil function in a changing world: the role of invertebrate ecosystem engineers. Eur J Soil Biol 33:159–193Google Scholar
- Mallik AU (1995) Competitive ability and allelopathy of ericaceous plants as potential causes of conifer regeneration failures. J Korean Forestry Soc 84:394–405Google Scholar
- Miles J, Young WF (1980) The effects on heathland and moorland soils in Scotland and northern England following colonisation by birch. Bull Ecology 11:233–242Google Scholar
- Mitchell RJ, Campbell CD, Chapman SJ, Cameron CM (2010a) The ecological engineering impact of a single tree species on the soil microbial community. J Ecol (Oxford) 98:50–61Google Scholar
- Pennanen T, Fritze H, Vanhala P, Kiikkilå O, Neuvonen S, Bååth E (1998) Structure of a microbial community in soil after prolonged addition of low levels of simulated acid rain. Appl EnvirMicrobiol 64:2173–2180Google Scholar
- Rodwell JS (1991) British plant communities volume 1. Cambridge University, Woodlands and scrubGoogle Scholar
- SAS (2008) SAS Software Version 9.2. SAS, Cary, NC, USAGoogle Scholar