<b>Ex</b><b>perimental</b><b> </b><b>duration shapes microbial</b><b> carbon use efficienc

250 paired observations from 52 field experiments quantify the effects of nitrogen addition and exogenous organic carbon inputs on soil microbial carbon use efficiency (CUE). The dataset, authored by Chenyang Zhang, includes hierarchical meta-analysis and linear mixed-effects model results. It was last updated on April 24, 2026.

Use Cases

• Analyzing the interaction between experimental duration and input rate on microbial CUE based on the described biphasic response.
• Modeling long-term soil carbon dynamics under sustained nutrient inputs based on the shift in CUE correlates over time.
• Comparing microbial responses to inorganic nitrogen versus exogenous organic carbon inputs based on the 8.6% and 29.4% increase figures.
• Investigating the influence of soil pH and total nitrogen on microbial CUE in short-term experiments based on the described chemical correlates.

Strengths

• Includes 250 paired observations from 52 distinct field experiments.
• Quantifies specific percentage increases in microbial CUE: 8.6% under N addition and 29.4% under exogenous organic C inputs.
• Identifies a key temporal threshold of 24 years for shifts in CUE response patterns.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data may reflect geographic or experimental bias inherent to the meta-analysis source studies.

Provenance

Source

figshare

Collection Method

Hierarchical meta-analysis and linear mixed-effects models applied to data from field experiments.

Freshness

Last updated 2026-04-24 09:00:30; freshness should be verified.