Global Forest Mercury Uptake and Climate Variables, Gridded Spatial Layers

Global gridded spatial layers quantify forest foliar mercury accumulation rates and sinks, integrating observed concentrations with plant traits and climate. The 545.5 MB dataset, authored by Longyu Jia and last updated in May 2026, supports the associated scientific manuscript. It includes source files for main and supplementary figures on leaf lifespan, biomass, and projected climate changes.

Use Cases

• Modeling global atmospheric mercury sinks based on foliar accumulation rates and leaf biomass.
• Analyzing spatial patterns of mercury uptake in forests based on leaf lifespan and functional types.
• Projecting changes in mercury cycling based on relative changes in precipitation and temperature.
• Reproducing scientific visualizations of global foliar mercury distribution and uncertainty.

Strengths

• Integrates multiple global data sources, including observed foliar mercury concentrations, plant functional traits, and climate variables.
• Provides uncertainty layers and ensemble-model estimates for key variables.
• Includes geospatial products for both main and supplementary figures of the associated study.
• Dataset size is 545.5 MB, indicating a medium-scale, detailed spatial analysis.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for some analytical tasks.
• Data may reflect geographic or methodological bias inherent to the integrated observational and modeling sources.

Provenance

Source

figshare, authored by Longyu Jia.

Collection Method

Generated by integrating observed data with plant traits and climate variables within a machine-learning-based modeling framework.

Freshness

Last updated 2026-05-16 11:25:58; freshness should be verified.

Geography

Global