Arbuscular mycorrhizal fungus responses to disturbance are context-dependent.

Anthropogenic disturbance is one of the most important forces shaping soil ecosystems. While organisms that live in the soil, such as arbuscular mycorrhizal (AM) fungi, are sensitive to disturbance, their response is not always predictable. Given the range of disturbance types and differences among AM fungi in their growth strategies, the unpredictability of the responses of AM fungi to disturbance is not surprising. We investigated the role of disturbance type (i.e., soil disruption, agriculture, host perturbation, and chemical disturbance) and fungus identity on disturbance response in the AM symbiosis. Using meta-analysis, we found evidence for differential disturbance response among AM fungal species, as well as evidence that particular fungal species are especially susceptible to certain disturbance types, perhaps because of their life history strategies.

Where the wild things are: looking for uncultured Glomeromycota.

Our knowledge of Glomeromycotan fungi rests largely on studies of cultured isolates. However, these isolates probably comprise one life-history strategy - ruderal. Consequently, our knowledge of arbuscular mycorrhizal (AM) fungi may be biased towards fungi that occur primarily in disturbed habitats and associate with disturbance-tolerant host plants. We can expect to see a signal for this in DNA-based community surveys: human-impacted habitats and cultivated plants should yield a higher proportion of AM fungal species that have been cultured compared with natural habitats and wild plants. Using the MaarjAM database (a curated open-access database of Glomeromycotan sequences), we performed a meta-analysis on studies that described AM fungal communities from a variety of habitats and host plants. We found a greater proportion of cultured AM fungal taxa in human-impacted habitats. In particular, undisturbed forests and grasslands/savannahs contained significantly fewer cultured taxa than human-impacted sites. We also found that wild plants hosted fewer cultured fungal taxa than cultivated plants. Our data show that natural communities of AM fungi are composed largely of uncultured taxa, and this is particularly pronounced in natural habitats and wild plants. We are better poised to understand the functioning of AM symbioses associated with cultivated plants and human-impacted habitats.

Field-based measurement tools to distinguish clonal Typha taxa and estimate biomass: a resource for conservation and restoration.

Two species of clonal Typha [T. latifolia (native) and T. angustifolia (exotic)] hybridize to form the highly invasive, heterotic (high vigor) T. × glauca in North American wetlands leading to increased primary production, litter accumulation, and biodiversity loss. Conservation of T. latifolia has become critical as invasive Typha has overwhelmed wetlands. In the field, Typha taxa identification is difficult due to subtle differences in morphology, and molecular identification is often unfeasible for managers. Furthermore, improved methods to non-destructively estimate Typha biomass is imperative to enhance ecological impact assessments. To address field-based Typha ID limitations, our study developed a predictive model from 14 Typha characters in 7 northern Michigan wetlands to accurately distinguish Typha taxa (n = 33) via linear discriminant analysis (LDA) of molecularly identified specimens. In addition, our study developed a partial least squares regression (PLS) model to predict Typha biomass from field collected measurements (n = 75). Results indicate that two field measurements [Leaf Counts, Longest Leaf] can accurately differentiate the three Typha taxa and advanced-generation hybrids. The LDA model had a 100% correct prediction rate of T. latifolia. The selected PLS biomass prediction model (sqrt[Typha Dry Mass] ~ log[Ramet Area at 30 cm] + Inflorescence Presence + Total Ramet Height + sqrt[Organic Matter Depth]) improved upon existing simple linear regression (SLR) height-to-biomass predictions. The rapid field-based Typha identification and biomass assessment tools presented in this study advance targeted management for regional conservation of T. latifolia and ecological restoration of wetlands impacted by invasive Typha taxa.