Global Forest Leaf Traits and Photosynthesis Maps with Plot-Level Data

Seven files include plot-level functional trait data, global 0.1-degree resolution maps of forest leaf traits and their uncertainty, and a map of forest photosynthesis. The dataset, authored by Feng Jiang, is 61.9 MB and was last updated on April 25, 2026. It includes R scripts for analysis and model performance metrics.

Use Cases

• Modeling global forest photosynthesis based on community canopy leaf traits.
• Mapping spatial distributions of leaf traits at a 0.1-degree resolution.
• Analyzing the relationship between environmental variables and forest functional traits.
• Assessing variable importance for predicting leaf traits using random forest models.

Strengths

• Includes global geospatial maps at 0.1-degree resolution for traits and photosynthesis.
• Provides plot-level data linking functional traits to environmental variables.
• Contains model performance metrics and variable importance analyses.
• Dataset size is 61.9 MB, making it relatively manageable for download and analysis.

Limitations

• Row count for the tabular data is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.

Provenance

Source

Feng Jiang via figshare.

Collection Method

Likely derived from field plot measurements and remote sensing data, processed with R scripts.

Freshness

Last updated 2026-04-25 15:12:19; freshness should be verified.

Geography

Global forest coverage.