Table 1_Soil bacteria community characteristics and their regulatory mechanisms on greenho
by Jin-Bo Li·Updated 12d ago
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Description
Four distinct island forest types in China's Sanjiang Plain—Populus davidiana, Betula platyphylla, Quercus mongolica, and mixed forest—were studied to link soil properties and bacterial communities to greenhouse gas fluxes. Betula platyphylla forests exhibited the highest soil moisture and bacterial α-diversity, while mixed forests had the highest pH and available nitrogen. The research reveals gas-specific regulatory pathways, with CO2 emissions influenced by both soil factors and bacteria, CH4 uptake entirely bacteria-mediated, and N2O emissions primarily linked to soil temperature.
Use Cases
Modeling greenhouse gas (CO2, CH4, N2O) emissions based on forest type and soil physicochemical properties.
Analyzing the relationship between bacterial community α-diversity, network structure, and ecosystem function.
Investigating the relative roles of deterministic vs. stochastic processes in bacterial community assembly across different forest types.
Training models to predict soil moisture, organic carbon, or nitrogen levels from forest type characteristics.
Studying the gas-specific mediating effects of bacterial attributes on greenhouse gas fluxes.
Strengths
Data compares four distinct forest types, enabling comparative ecological analysis.
Analysis includes multiple greenhouse gases (CO2, CH4, N2O) and links them to both soil properties and microbial community metrics.
Findings are based on specific statistical methods including co-occurrence network analysis and partial least squares path models.
Limitations
The dataset is small (147.6 KB), indicating limited scope and likely a small number of observations.
Column-level documentation is absent; field semantics must be inferred after download.
Data may reflect geographic bias inherent to the specific island forests of the Sanjiang Plain.
Provenance
Source
figshare
Collection Method
Field study focusing on four island forest types, with subsequent laboratory and statistical analysis.
Freshness
Last updated 2026-05-25 06:03:17; freshness should be verified.
Geography
Island forests of the Sanjiang Plain, China.
Data is provided in a DOCX file format, which may require extraction or conversion for analysis.