Global Wood Decomposition Patterns with Termite and Fungal Spatial Data

A global experiment dataset supporting research on spatial self-organization of termites and fungi as primary deadwood decomposers. The data, authored by Donghao Wu and last updated in May 2026, includes measurements of decomposition rates, termite and fungal spatial occupancy, and associated environmental variables. It is used to analyze how temperature and anthropogenic pressure influence decomposer clustering and overdispersion, shaping global carbon cycling.

Use Cases

• Modeling the relationship between termite spatial clustering and site-scale wood decomposition rates.
• Analyzing the indirect effects of temperature on decomposition patterns via termite occupancy.
• Investigating how anthropogenic pressure directly promotes overdispersed decomposition patterns by reducing termite occupancy.
• Studying the contrasting roles of fungi-driven overdispersion and termite-driven clustering on global decomposition variation.

Strengths

• Data originates from a designed global experiment, providing structured observations.
• Includes multiple file formats (TIF, R, CSV, XLSX) totaling 605.3 MB, suggesting diverse data types.
• Released under a permissive CC-BY-4.0 license, facilitating reuse and sharing.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for specific modeling tasks.
• The dataset description is detailed but does not specify the exact temporal or geographic coverage of the underlying experiment.

Provenance

Source

figshare, authored by Donghao Wu.

Collection Method

Leveraged a global experiment, as described in the associated research.

Freshness

Last updated 2026-05-09 01:44:29; freshness should be verified.

Geography

Global, inferred from the description of a 'global experiment'.