Below-ground ectomycorrhizal communities: the effect of small scale spatial and short term temporal variation

Abstract

Ectomycorrhizal (ECM) associations are an important form of symbiosis for the majority of tree species. In forest ecosystems where nutrients are often limited, ECM associations are vital for seedling establishment and tree survival. ECM communities are often very species rich and frequently follow the log normal distribution—with a few species being abundant and many species being rare. Much of the current knowledge of ECM communities has been revealed through a combination of above-ground sporocarp and below-ground root tip analyses. However, above-ground surveys of ECM communities reveal largely different findings regarding ECM diversity and community structure to below-ground surveys. Therefore below-ground surveys are vital to our understanding of ECM biology, ecology and community dynamics. In this article I review the recent findings regarding how ECM communities vary both spatially and temporally in forests. Spatial variation occurs at the centimetre scale both horizontally and vertically in forests, and can be explained by the separation of the ECM community into distinct niches. Temporal variation occurs over relatively short time scales, with ECM communities showing large changes even on a monthly basis. I then apply the niche concept to ECM fungi, and review a recent theory, ECM functional morphology, and examine how this may be used to explain a significant amount of spatial and temporal variation in forest ECM communities. The functional morphology theory is particularly useful in explaining patterns of ECM community variation across the distinct successional stages of the forest cycle. However, the effect of other abiotic and biological variables on ECM communities should not be ignored. Finally, as ECM communities are non-randomly distributed and vary widely in species richness over time, I lay out a sampling strategy to provide representative samples of the actual ECM community in the study area. Using (i) an extensive sampling methodology, (ii) separation of samples at distances greater than levels of spatial autocorrelation, and (iii) samples collected throughout the year, over a number of years, an ample picture of the ECM community in temperate forests can be collected.