Deadwood represents an important carbon stock and contributes to climate change mitigation. Wood decomposition is mainly driven by fungal communities. Their composition is known to change during decomposition, but it is unclear how environmental factors such as wood chemistry affect these successional patterns through their effects on dominant fungal taxa. We analysed the deadwood of Fagus sylvatica and Abies alba across a deadwood succession series of >40 years in a natural fir-beech forest in the Czech Republic to describe the successional changes in fungal communities, fungal abundance and enzymatic activities and to link these changes to environmental variables. The fungal communities showed high levels of spatial variability and beta diversity. In young deadwood, fungal communities showed higher similarity among tree species, and fungi were generally less abundant, less diverse and less active than in older deadwood. pH and the carbon to nitrogen ratio (C/N) were the best predictors of the fungal community composition, and they affected the abundance of half of the dominant fungal taxa. The relative abundance of most of the dominant taxa tended to increase with increasing pH or C/N, possibly indicating that acidification and atmospheric N deposition may shift the community composition towards species that are currently less dominant.

Within geographic regions, the existing data suggest that physical habitat (bark, soil, etc.) is the strongest factor determining agroecosystem microbial community assemblage, followed by geographic location (site), and then management regime (organic, conventional, etc.). The data also suggest community similarities decay with increasing geographic distance. However, integrated hypotheses for these observations have not been developed. We formalized and tested such hypotheses by sequencing 3.8 million bacterial 16S, fungal ITS2 and non‐fungal eukaryotic COI barcodes deriving from 108 samples across two habitats (soil and bark) from six vineyards sites under conventional or conservation management. We found both habitat and site significantly affected community assemblage, with habitat the stronger for bacteria only, but there was no effect of management. There was no evidence for community similarity distance–decay within sites within each habitat. While communities significantly differed between vineyard sites, there was no evidence for between site community similarity distance–decay apart from bark bacterial communities, and no correlations with soil and bark pH apart from soil bacterial communities. Thus, within habitats, vineyard sites represent discrete biodiversity islands, and while bacterial, fungal and non‐fungal eukaryotic biodiversity mostly differs between sites, the distance by which they are separated does not define how different they are.

The soil microbiome is key to plant health and nutrient acquisition, and viruses likely play important but largely unknown roles in these processes. To interrogate bulk and rhizosphere soil viral biogeography, we collected samples over a tomato growing season in California from an experiment testing arbuscular mycorrhizal fungi (AMF) treatment. We generated 78 viromes, 16S rRNA gene, and ITS1 amplicon datasets, and 33 rhizosphere metatranscriptomes. Of 67 038 DNA viral “species” genomes (vOTUs), 25% were previously identified, predominantely in agricultural systems, suggesting habitat filtering and greater viral homogeneity across agricultural compared to natural soils globally. Rhizospheres had significantly higher DNA viral richness than bulk soils, whereas no significant richness differences were observed for other biota. 60% of vOTUs were shared between compartments, compared to only 21–23% of bacterial and fungal taxa. Although bulk soil viral biogeography resembled that of prokaryotes, with significant structuring by moisture content, greater virome similarity between high-moisture bulk soils and rhizospheres suggests that conditions with high host activity selected for similar viral communities. In rhizospheres, while bacterial and fungal communities differed most over time, DNA and RNA viral communities differed most by sampling location, matching prokaryotic transcriptional patterns and further implicating host activity in viral biogeography. Similarly, AMF treatment induced changes in the prokaryotic transcriptome but, across biota, only significantly affected DNA viral communities. Overall, results indicate strong viral responses to spatiotemporally localized conditions, with viral biogeography reflecting both dispersal opportunities (high between neighboring bulk and rhizosphere soils, low across fields) and selection via local host activity.

The soil microbiome is key to plant health and nutrient acquisition, and viruses likely play important but largely unknown roles in these processes. To interrogate bulk and rhizosphere soil viral biogeography, we collected samples over a tomato growing season in California from an experiment testing arbuscular mycorrhizal fungi (AMF) treatment. We generated 78 viromes, 16S rRNA gene, and ITS1 amplicon datasets, and 33 rhizosphere metatranscriptomes. Of 67,038 DNA viral ‘species’ genomes (vOTUs), 25% were previously identified, predominantely in agricultural systems, suggesting habitat filtering and greater viral homogeneity across agricultural compared to natural soils globally. Rhizospheres had significantly higher DNA viral richness than bulk soils, whereas no significant richness differences were observed for other biota. 60% of vOTUs were shared between compartments, compared to only 21-23% of bacterial and fungal taxa. Although bulk soil viral biogeography resembled that of prokaryotes, with significant structuring by moisture content, greater virome similarity between high-moisture bulk soils and rhizospheres suggests that conditions with high host activity selected for similar viral communities. In rhizospheres, while bacterial and fungal communities differed most over time, DNA and RNA viral communities differed most by sampling location, matching prokaryotic transcriptional patterns and further implicating host activity in viral biogeography. Similarly, AMF treatment induced changes in the prokaryotic transcriptome but, across biota, only significantly affected DNA viral communities. Overall, results indicate strong viral responses to spatiotemporally localized conditions, with viral biogeography reflecting both dispersal opportunities (high between neighboring bulk and rhizosphere soils, low across fields) and selection via local host activity.