Labile carbon addition has significant effects on soil organic carbon decomposition and temperature sensitivity across urban-rural gradients forest in Changchun city, Northeast China

Description

This dataset contains 9 parts of data. Data part 1: Soil physicochemical properties along urban-rural gradients; Data part 2: Effects of glucose addition on cumulative CO2 emissions under different temperatures; Data part 3: Effects of glucose addition on cumulative native CO2 emissions from forest soil; Data part 4: Cumulative primed C-CO2 emissions after glucose addition at different temperatures; Data part 5: Effects of glucose addition on Q10 values of urban-rural forest SOC decomposition; Data part 6: Effects of glucose addition on forest soil PLFAs content across urban-rural gradients under different temperatures; Data part 7: Effects of the urban-rural gradient on forest soil PLFA contents at different temperatures; Data part 8: The data of RDA and VPA results of glucose addition and microbial community composition effects on CO2 emissions at 15 °C; Data part 9: The data of RDA and VPA results of glucose addition and microbial community composition effects on CO2 emissions at 25 °C.

Steps to reproduce

Soil pH was determined by the potentiometric method with a soil to water ratio of 1: 2.5 (Sonmez et al., 2008). Electrical conductivity (EC) was determined by the same suspension with an EC meter (DDS-307, Shanghai Precision Scientific Instruments Co., Ltd., Shanghai, China; (Wang et al., 2020). Soil samples were digested with vitriolic acid and perchloric acid for the determination of total nitrogen and phosphorus content. SOC was determined by the potassium dichromate titrimetric and dilution heat methods, total nitrogen (TN) content was measured by Kjeldahl method, and total phosphorus (TP) content was measured using the molybdenum blue method (Bao, 2000). Microbial biomass carbon (MBC) was determined through the chloroform fumigation-extracted with K2SO4 method. At the end of the incubation, all the soil samples were freeze-dried at -20 °C to determine the soil microbial community composition by PLFA method. Detailed information referred to Zhang et al. (2021). Statistical analysis was performed using the SPSS18.0 software for windows. The effects of temperature, glucose addition, the urban-rural gradient, and their interactions on CO2 emissions were tested using repeated measures analysis of variance (ANOVA), when variances were homogeneous, followed by LSD post-hoc tests. Otherwise, Tamhane’s T2 tests were used. The PEs induced by glucose addition at different temperatures were tested using the Tukey’s HSD test. Glucose addition effects on Q10 values were tested using one-way ANOVA with LSD tests. Three-way ANOVA with LSD tests was used to test the effects of temperature, glucose addition, and the urban-rural gradient on microbial PLFAs. Differences were considered significant at the p<0.05 level. Relationships between CO2 emissions and soil microbial community composition in the different treatments were examined using redundancy analysis (RDA) and variance partitioning analysis (VPA) in R Studio.

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