Hierarchical Controls Over Methane Cycling in Ecosystem Models

A microbial-explicit methane model and field observations from three hydrologically distinct ecosystems. The dataset, created by Wang and shared under CC-BY-4.0, demonstrates a hierarchical framework for predicting land-surface methane flux. It integrates environmental controls, substrate limitations, and microbial traits to improve model predictability by 5% to 50%.

Use Cases

• Benchmarking methane flux predictions based on the hierarchical microbial-explicit model.
• Analyzing the measurement-model gap in methane cycling based on the described mismatch between microbial biomass and substrate-driven outputs.
• Refining predictive ecosystem models across diverse land types based on the integrated framework of environmental and microbial controls.

Strengths

• Dataset size is 1.0 MB, facilitating quick download and local analysis.
• Model framework improved methane predictability by 5% to 50% according to the description.
• Data is licensed under CC-BY-4.0, allowing for broad reuse.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for large-scale modeling tasks.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

figshare

Collection Method

Leveraging field observations and a microbial-explicit CH4 model.

Freshness

Last updated 2026-05-25 03:21:02; freshness should be verified.

Geography

Three hydrologically distinct ecosystems (specific locations unknown).