Mapping and predictive variations of soil microbial richness, bacterial and archaeal phyla across France

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Soil char- acteristics were the best predictors of microbial biomass (21.4%), bacterial richness (43.7%), and Shannon diver- sity index (29.3%) whereas land management was the

The aim of this study was to assess, for the first time using high throughput sequencing, the diversity of both bacterial and archaeal assemblages in Lake Geneva and to investigate

We then used DNA metabarcoding to measure fungal, bacterial, archaeal and plant β-diversity across multiple phylogenetic grains and at two spatial scales: between community

In France, the national soil mapping strategy has been defined in the early 1990s within the Soil Inventory, Management and Conservation Programme (IGCS) and based on conventional

The CoBaltDB database was designed to associate results from disconnected resources. It contains three main types of data: i) CoBaltDB pre-computed predic- tion using 23