Data from: Extreme wetness reduces soil microbial residue carbon more substantially than extreme drought across grassland ecosystems
Abstract
Soil microbial residue carbon (MRC) represents a significant component of soil carbon pools and regulates the response of soil carbon sequestration to precipitation changes. However, how soil MRC content responds to extreme drought and wetness, and the underlying mechanisms in regional grassland ecosystems, remains unclear. Here, we quantified the responses of soil MRC content to extreme drought and wetness, and identified the key drivers using a coordinated precipitation change experiment across nine alpine and temperate grassland ecosystems in China. Extreme drought (-50% precipitation) reduced MRC content by 8% on average. In contrast, extreme wetness (+50% precipitation) unexpectedly caused a pronounced 24% average decline in MRC content. Under extreme drought, reduced plant biomass inhibited soil MRC formation, and soil microbial N enzymes accelerated soil MRC decomposition. Moreover, wetter ecosystems exhibited greater losses of soil MRC, while drier ecosystems experienced a more moderate decline. Under extreme wetness, increased soil microbial N enzyme activity accelerated the decomposition and utilization of microbial residue due to intensified microbial nitrogen limitation, resulting in a reduction in MRC. Our findings challenged the conventional understanding that extreme wetness promotes MRC accumulation by revealing a stronger reduction in MRC content under extreme wetness than under extreme drought. By uncovering distinct mechanisms driving MRC responses to extreme drought and wetness, our study provides critical insights into the dynamics of microbial-derived carbon in grassland ecosystems under future climate change.
Data Description
Data.xlsx: Contains measurements of variables for each sample, along with the associated Site and Treatment.
Each row represents an individual sample (Sample), corresponding to one measurement or sampling event.
Each column represents a variable (Sample, Site, Treatment, pH...) describing sample attributes or measurements.
Variable Descriptions
3.1 Sample ID
Type: String
Description: Name of the sample.
Format Example: A1.1, A1.2...
Note: The letter (A–C) denotes the Treatment plot. The first digit (1-9) indicates the Site number. The last digit (1-3 or 4) indicates the Block number.
3.2 Site
Type: String
Description: Name of the sampling Site.
Example: Dangxiong...
3.3 Treatment
Type: String
Description: Experimental Treatment plot.
Examples: Control, -50%Pre, +50%Pre
3.4 Plant, Soil, Microbial variables
Type: Numeric
Description: Measurement value and unit
SWC: Soil Water Content change (%)
MRC: microbial residue carbon, g kg-1
ANPP: aboveground net primary productivity, g m-2
SOC: soil organic carbon, g kg-1
DOC: dissolved organic carbon, mg kg-1
TN: total nitrogen, g kg-1
AN: available nitrogen, mg kg-1
TP: total phosphorus, g kg-1
Bacterial: bacterial biomass, nmol g-1
Fungal: fungal biomass, nmol g-1
Microbial: microbial biomass, nmol g-1
βG: β-1,4-glucosidase, nmol g-1 h-1
NAG: β-N-acetylglucosaminidase, nmol g-1 h-1
LAP: leucine aminopeptidase, nmol g-1 h-1
AP: alkaline phosphatase, nmol g-1 h-1
Oxidase: soil microbial oxidase enzyme, µmol g-1 h-1
