Ectomycorrhizal (ECM) communities were assessed on a 720 m(2) plot along a chronosequence of red oak (Quercus rubra) stands on a forest reclamation site with disturbed soil in the lignite mining area of Lower Lusatia (Brandenburg, Germany). Adjacent to the mining area, a red oak reference stand with undisturbed soil was investigated reflecting mycorrhiza diversity of the intact landscape. Aboveground, sporocarp surveys were carried out during the fruiting season in a 2-week interval in the years 2002 and 2003. Belowground, ECM morphotypes were identified by comparing sequences of the internal transcribed spacer regions from nuclear rDNA with sequences from the GenBank database. Fifteen ECM fungal species were identified as sporocarps and 61 belowground as determined by morphological/anatomical and molecular analysis of their ectomycorrhizas. The number of ECM morphotypes increased with stand age along the chronosequence. However, the number of morphotypes was lower in stands with disturbed soil than with undisturbed soil. All stands showed site-specific ECM communities with low similarity between the chronosequence stands. The dominant ECM species in nearly all stands was Cenococcum geophilum, which reached an abundance approaching 80% in the 21-year-old chronosequence stand. Colonization rate of red oak was high (>95%) at all stands besides the youngest chronosequence stand where colonization rate was only 15%. This supports our idea that artificial inoculation with site-adapted mycorrhizal fungi would enhance colonization rate of red oak and thus plant growth and survival in the first years after outplanting.

The microscale spatial distribution patterns of ectomycorrhizal (ECM) morphotypes of red oak (Quercus rubra L.) were analyzed over a 600×6×3 cm (length x width x depth) soil monolith. For this purpose, the soil monolith was divided into 2×2×1 cm cuboids. Each cuboid was assigned to an organic sublayer, namely the F-or H-layer. A new classification method was used to combine morphotypes with similar distribution patterns into five different groups. For identification of the ECM fungi, internal transcribed spacer (ITS) regions from nuclear rDNA were sequenced and compared with sequences from the international GenBank. Twenty-eight ECM types were identified in the soil monolith. Using this new classification method, it was found that the majority of morphotypes (16) appeared in a scattered horizontal distribution and that only 5 morphotypes formed clusters. In addition, it was found that many morphotypes had a clear preference for a specific organic sublayer: 14 morphotypes preferred the F-layer, 5 the H-layer, and only 4 morphotypes showed no preference for a given layer. Analysis of the distribution patterns showed that ECM fungi either exclude each other or occur together. The most frequent morphotypes, Cenococcum geophilum and Tomentella spec. 01, were associated with the whole ECM community. In contrast, the frequent morphotype Tomentella terrestris showed the lowest degree of association among the identified morphotypes.

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