Ecological interactions between fungi, other biota and forest litter composition in a unique Scottish woodland
Author(s) -
V. Krivtsov,
Tanya Bezginova,
Robert J. Salmond,
Keith Liddell,
A. Garside,
Jack Thompson,
John W. Palfreyman,
Harry Staines,
A. Brendler,
Bryan S. Griffiths,
Roy Watling
Publication year - 2006
Publication title -
forestry an international journal of forest research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.747
H-Index - 63
eISSN - 1464-3626
pISSN - 0015-752X
DOI - 10.1093/forestry/cpi066
Subject(s) - biology , beech , biomass (ecology) , litter , fagus sylvatica , plant litter , ergosterol , ecology , botany , woodland , ecosystem
Summary The composition of forest litter and understorey layer, and fungal biomass (in terms of ergosterol) were measured in eight subplots over a winter – spring period (January to April). The sampling site was positioned in a range of woodland habitats (variously dominated by beech, Fagus sylvatica ; birch, Betula pendula × pubescens , and oak Quercus petraea ) and a clear area covered with grass (dominated by Holcus lanatus ). The results were analysed together with data on bacteria and microinvertebrates available from parallel research. Levels of ergosterol in individual subplots ranged between 50 and 160 µ g g − 1 DW. Fungal biomass decreased in March, and then increased signifi cantly in April. Stepwise regression models for ergosterol indicated positive relationships with moisture content (February), bacteria (all but February and March), fl agellates (February) and plant-feeding nematodes and fl ies (January, overall). The relationships with roots, seeds, the collective variable ‘ other microinvertebrates ’ (all March), amoebae (February) and fragments (March, overall) were negative, while the relationship between fungi- and microbial-feeding nematodes changed sign between February ( − ) and March (+). Results of analysis of covariance for fungal ergosterol were signifi cant only for January and the combined dataset. In January, fungi were shown to be signifi cantly related to amoebae, bacteria and a collembolan Folsomia candida , while the only signifi cant predictor returned by the overall model was bacteria. Correlation analysis confi rmed some effects already noted, and revealed a number of further interactions. The results highlighted the complexity of factors infl uencing temporal dynamics and spatial variability of
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