Global Net Ecosystem Productivity at 250m Resolution, 2001-2022

Qizhi Han from the Chinese Academy of Sciences produced a global Net Ecosystem Productivity (NEP) dataset for terrestrial ecosystems. The product spans the years 2001 to 2022 with a spatial resolution of 250 meters and a temporal resolution of one year, created by harmonizing tower-based NEP data with remote sensing and meteorological inputs using a random forest method. Data is provided in TIFF format.

Use Cases

• Modeling the global terrestrial carbon sink based on annual NEP estimates.
• Analyzing long-term trends in ecosystem carbon exchange based on the 2001-2022 time series.
• Validating Earth system models using spatially distributed NEP data at 250m resolution.
• Studying the relationship between ecosystem productivity and climate variables using the integrated meteorological data.

Strengths

• Covers a 22-year time range from 2001 to 2022.
• Provides global coverage at a high spatial resolution of 250 meters.
• Integrates multiple data sources: tower-based NEP, remote sensing, and meteorological data.
• Uses a machine learning method (random forest) optimized for spatial distribution.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

Chinese Academy of Sciences

Collection Method

Harmonized tower-based NEP from flux sites with remote sensing and meteorological data, optimized for spatial distribution using a random forest method.

Time Range

2001-2022

Geography

Global terrestrial ecosystems