Nitrogen (N) and phosphorus (P) are essential nutrients for soil microbial growth and activities. There are notable differences in the concentrations of N and P and the characteristics of microbial communities observed between temperate and subtropical forests soils, and this is also true for soil vertical profiles. As a consequence of the rise in global atmospheric N deposition, soil nutrient imbalances and P limitation are increasingly aggravated in eastern China. However, there is a lack of systematic dataset showing how N deposition and P addition affect soil N cycling microbes and soil physicochemical properties in eastern China; hence a comprehensive dataset is needed to a better understanding of the impact of N deposition and P addition on soil nitrogen cycle. This dataset is constructed based on the field experimental setup in the forests of Chinese Ecosystem Research Network (CERN). To obtain a systematic dataset on N-cycling microbial communities, we conducted measurements and collected data of soil N-cycling functional genes abundance, N-cycling microbial community diversities and compositions and enzyme activities in three typical forests with N and/or P additions. We collected 0-10 cm top soils from a temperate forest (Changbai Mountain) and two subtropical forests (Qianyanzhou and Dinghu Mountain) with field N and/or P additions, and the soils along 0-80 cm vertical profiles without nutrient additions. The N-cycling functional genes involved in the datasets cover ammonia oxidizing archaea amoA, ammonia oxidizing bacteria amoA, nirK, nirS, nosZ, qnorB, narG, nir, nifH and chiA. The potential activities included in the datasets cover nitrification activity, denitrification activity, nitrogen fixation activity and organic nitrogen decomposition enzyme activity. The datasets also include soil physiochemical properties, including soil pH, moisture content, N2O emission, net nitrification rate and the concentrations of organic carbon, NH4+ , NO3− , available phosphorus, total nitrogen, total carbon, total phosphorus and dissolved organic carbon. The creation and sharing of the datasets can provide data and support for understanding the microbial mechanisms of soil N-cycling and the modelling processes under the scenario of aggravated N deposition and P addition. The datasets will also provide support for forest management efforts with regard to greenhouse gas N2O emission, N and nutrient loss in forest ecosystems.
Read full abstract