Vertical distributions of soil microbial biomass carbon: a global dataset

文献类型： 外文期刊

第一作者： Sun, Tingting

作者： Sun, Tingting;Wang, Yugang;Sun, Tingting;Wang, Yugang;Sun, Tingting;Wang, Yugang;Hui, Dafeng;Jing, Xin;Feng, Wenting

作者机构：

关键词： deep soils; micorbial quotient; soil organic carbon; soil clay content; soil C/N ratio; soil profile

期刊名称：DATA IN BRIEF （ 影响因子：1.2； 五年影响因子：1.1 ）

ISSN： 2352-3409

年卷期： 2020 年 32 卷

页码：

收录情况： SCI

摘要： Soil microbial biomass carbon (SMBC) is important in regulating soil organic carbon (SOC) dynamics along soil profiles by mediating the decomposition and formation of SOC. The dataset (VDMBC) is about the vertical distributions of SOC, SMBC, and soil microbial quotient (SMQ=SMBC/SOC) and their relations to environmental factors across five continents. Data were collected from literature, with a total of 289 soil profiles and 1040 observations in different soil layers compiled. The associated environment data collectd include climate, ecosystem types, and edaphic factors. We developed this dataset by searching the Web of Sciene and the China National Knowledge Infrastructure from the year of 1970 to 2019. All the data in this dataset met two creteria: 1) there were at least three mineral soil layers along a soil profile, and 2) SMBC was measured using the fumigation extraction method. The data in tables and texts were obtained from literature directly, and the data in figures were extracted by using the GetData Graph digitizer software version 2.25. When climate and soil properties were not available from publications, we obtainted the data from the World Weather Information Service (https: Hworlclwea the r.wmo.i nti en/liome.html) and SoilGrids at a spatial resolution of 250 meters (version 0.5.3, https://soilgrids.org). The units of all the variables were converted to the standard international units or commonly used ones and the values were transformed correspondingly. For example, the value of soil organic matter (SOM) was converted to SOC by using the equation (SOC = SOM x 0.58). This dataset can be used in predicting global SOC changes along soil profiles by using the multi-layer soil carbon models. It can also be used to analyse how soil microbial biomass changes with plant roots as well as the composition, structure, and functions of soil microbial communities along soil profiles at large spatial scales. This dataset offers opportunities to improve our prediction of SOC dynamics under global changes and to advance our understanding of the environmental controls. (C) 2020 The Authors. Published by Elsevier Inc.

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