Abstract
Bacterial 16S rRNA dataset of Moso bamboo forest was formed by 20 soil samples in four management modes corresponding to the soil properties data of each soil sample such as concentrations of soil organic carbon (SOC), total nitrogen (TN), total phosphorus (TP), available phosphorus (AP), NH4+-N, NO3−-N, water-soluble organic carbon (WSOC), Water-soluble organic nitrogen (WSON), microbial biomass carbon (MBC) and microbial biomass nitrogen (MBN), and soil water content (SWC) and pH value. Due to the special climate in the northern edge of subtropical zone and the characteristics of non wood and non grass of bamboo plants, our data set is helpful for the further studies of soil management, microhabitats variations responding to global carbon, nitrogen and phosphorus cycle. The data is related to the research article “Response of bacterial compositions to soil biochemical properties under mulching-intensive management in a Phyllostachys edulis forest” [1].
Highlights
Dataset of soil bacterial compositions and biochemical properties of a Moso bamboo forest under mulching-intensive management
Bacterial 16S rRNA dataset of Moso bamboo forest was formed by 20 soil samples in four management modes corresponding to the soil properties data of each soil sample such as concentrations of soil organic carbon (SOC), total nitrogen (TN), total phosphorus (TP), available phosphorus (AP), NH4þ-N, NO3À-N, water-soluble organic carbon (WSOC), Water-soluble organic nitrogen (WSON), microbial biomass carbon (MBC) and microbial biomass nitrogen (MBN), and soil water content (SWC) and pH value
The data is related to the research article “Response of bacterial compositions to soil biochemical properties under mulching-intensive management in a Phyllostachys edulis forest” [1]
Summary
Environmental Science (General) Soil microbial ecology and forest management Table 1. Value of the Data The dataset provides the variations of bacterial compositions both on phylum and genus levels among four management modes. It showed the changes of soil biochemical properties corresponding to bacterial communities. It suggests that the best management mode is the combination of mulching and alternation. The relations between different fertilization and the output of bamboo forest can find the optimum fertilization amount and structure of bamboo forest Those data can be a part of a meta-analysis of soil microbe or soil elemental cycle. The dataset contains information on soil biochemical properties (supplementary materials M1), Phylum distribution of dominant soil bacteria (OTU!1.0%) in the four management modes (supplementary materials M2), 16S rRNA profiles of 27 phyla (supplementary materials M3) and 197 genera (supplementary materials M4) selected from 20 sample plots in four management modes
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