Abstract. Microbiomes can aid in the protection of hosts from infection and disease, but the mechanisms underpinning these functions in complex environmental systems remain unresolved. Soils contain microbiomes that influence plant performance, including their susceptibility to disease. For example, some soil microorganisms produce antimicrobial compounds that suppress the growth of plant pathogens, which can provide benefits for sustainable agricultural management. Evidence shows that crop rotations increase soil fertility and tend to promote microbial diversity, and it has been hypothesized that crop rotations can enhance disease suppressive capacity, either through the influence of plant diversity impacting soil bacterial composition or through the increased abundance of disease suppressive microorganisms. In this study, we used a long-term field experiment to test the effects of crop diversity through time (i.e., rotations) on soil microbial diversity and disease suppressive capacity. We sampled soil from seven treatments along a crop diversity gradient (from monoculture to five crop species rotation) and a spring fallow (non-crop) treatment to examine crop diversity influence on soil microbiomes including bacteria that are capable of producing antifungal compounds. Crop diversity significantly influenced bacterial community composition, where the most diverse cropping systems with cover crops and fallow differed from bacterial communities in the 1-3 crop species diversity treatments. While soil bacterial diversity was about 4% lower in the most diverse crop rotation (corn-soybean-wheat + 2 cover crops) compared to monoculture corn, crop diversity increased disease suppressive functional group prnD gene abundance in the more diverse rotation by about 9% compared to monocultures. In addition, disease suppressive potential was significantly diminished in the (non-crop) fallow treatment compared to the most diverse crop rotation treatments. The composition of the microbial community could be more important than diversity to disease suppressive function in our study. Identifying patterns in microbial diversity and ecosystem function relationships can provide insight into microbiome management, which will require manipulating soil nutrients and resources mediated through plant diversity.

Ecological restoration often involves only the manipulation of abiotic factors at the local scale. However, processes external to a restoration site determine the range of local conditions within the site, constraining the level of restoration progress that can be achieved by on-site manipulations. We examined the relationship of landscape and local explanatory variables to plant species composition in 28 restored wetlands in Illinois, USA. Using constrained ordination combined with variation partitioning, we determined the independent and joint effects of three spatially hierarchical sets of variables: (1) macroscale landscape features reflecting site setting within regional landscapes, (2) mesoscale landscape features reflecting nearby propagule sources and buffers from disturbances, and (3) local environmental factors. Because the relative influence of landscape- vs. local-scale factors on restoration success may depend on particular restoration goals, we repeated the analyses using three multivariate plant community responses that represented three frequently stated goals: (1) replicating species composition, (2) restoring a particular wetland community type, and (3) constructing sites with high value for plant conservation. Explanatory variables at landscape and local scales had independent and nearly equally strong relationships to plant species composition. In contrast, when species were aggregated based on plant traits, the independent contribution of local predictors was greater than the independent contributions of macroscale or mesoscale landscape predictors, reflecting convergence of plant trait composition in sites with similar local conditions. Local predictors explained a significant amount of variation in plant conservation value among sites, but much of the variation could be explained by large-scale landscape setting, indicating that landscape constraints on local environmental conditions limited the level of floristic conservation value achievable. The appropriate scale at which to focus restoration efforts will vary depending upon restoration objectives. Restoration of particular wetland community types might be successfully achieved through manipulation of local abiotic factors. In contrast, restoration of a particular species assemblage or reconstruction of wetlands with high value for conservation requires consideration of landscape processes and available species pools.

Wetland mitigation is implemented to replace ecosystem functions provided by wetlands; however, restoration efforts frequently fail to establish equivalent levels of ecosystem services. Delivery of microbially mediated ecosystem functions, such as denitrification, is influenced by both the structure and activity of the microbial community. The objective of this study was to compare the relationship between soil and vegetation factors and microbial community structure and function in restored and reference wetlands within a mitigation bank. Microbial community composition was assessed using terminal restriction fragment length polymorphism targeting the 16S rRNA gene (total bacteria) and the nosZ gene (denitrifiers). Comparisons of microbial function were based on potential denitrification rates. Bacterial community structures differed significantly between restored and reference wetlands; denitrifier community assemblages were similar among reference sites but highly variable among restored sites throughout the mitigation bank. Potential denitrification was highest in the reference wetland sites. These data demonstrate that wetland restoration efforts in this mitigation bank have not successfully restored denitrification and that differences in potential denitrification rates may be due to distinct microbial assemblages observed in restored and reference (natural) wetlands. Further, we have identified gradients in soil moisture and soil fertility that were associated with differences in microbial community structure. Microbial function was influenced by bacterial community composition and soil fertility. Identifying soil factors that are primary ecological drivers of soil bacterial communities, especially denitrifying populations, can potentially aid the development of predictive models for restoration of biogeochemical transformations and enhance the success of wetland restoration efforts.Wetlands provide more ecosystem services (e.g., flood control, water purification, nutrient cycling, and habitat for wildlife) per hectare than any other ecosystem (16). Riparian wetlands, in particular, are sites of intense biogeochemical activity and play an important role in improving water quality, recycling nutrients, and detoxifying chemicals (41). Changing patterns of land use over the last century have resulted in the loss of over half of the wetlands in the contiguous United States (17) and about 60% of wetlands in the Midwestern United States (82). The loss of ecosystem services through conversion of wetlands to alternative (primarily agricultural) land uses exacerbates nutrient pollution and eutrophication of downstream ecosystems (57). Declines in wetland acreage have continued despite a federal policy goal of no-net-loss of wetland acreage and function adopted in 1990 (7, 55). Wetland mitigation projects provide compensation for impacted wetlands and aim to replace the critical functions provided by wetlands. Despite decades of wetland mitigation, however, restoration efforts frequently fail to reestablish desired...

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Environmental change is occurring across the globe at an unprecedented rate. With atmospheric CO 2 concentrations now exceeding 400 ppm (Blunden, Arndt, & Hartfield, 2018), global mean surface temperatures are rising (Stocker et al., 2013) and the world ocean is becoming more acidic (Gattuso et al., 2015). Habitat is being degraded and homogenized via land-use change while nutrient runoff from industrial-scale agriculture is expanding anoxic dead zones in coastal ecosystems (Foley, 2005; Stocker et al., 2013). Meanwhile, altered precipitation regimes are creating more intense and prolonged periods of drought and flooding that threaten our ability to reliably feed the growing human population (Trenberth, 2011). These and other global changes pose severe threats to the biodiversity of virtually all ecosystems on Earth. For species to persist in the face of widespread and rapid environmental change, it is important to identify biological mechanisms that can reverse trends of population decline. Some populations can achieve this by moving into more favourable habitats, for example, through the migration of heat-stressed individuals to sites at higher latitudes with cooler temperatures (Chen,