Biome-BGC Model for Ponderosa Pine Carbon Dynamics

This archived product contains the model code, executables, and procedures for Biome-BGC version 4.1.2, enabling the replication of a seminal 2003 study on forest carbon dynamics. The underlying research analyzed carbon storage and fluxes across a chronosequence of 12 ponderosa pine stands aged 9 to over 300 years in central Oregon. The model and data support investigations into how carbon sequestration changes with forest age following disturbance.

Use Cases

• Calibrating the Biome-BGC model for ponderosa pine ecosystems using field-measured carbon pools and fluxes.
• Analyzing the relationship between stand age and metrics like Net Ecosystem Productivity (NEP) and carbon storage in vegetation and soil.
• Investigating forest management strategies for carbon sequestration by simulating dynamics across stands from 9 to over 300 years old.
• Comparing model outputs against biological measurements from 12 stands and forest inventory data from 950 plots in Oregon.

Strengths

• Model enables replication of a peer-reviewed study published in Global Change Biology.
• Underlying field study includes a chronosequence of 12 stands with ages spanning over 300 years.
• Analysis incorporates a large validation dataset from 950 forest inventory plots in Oregon.
• Cross-platform presence on NASA EarthData and Data.gov signals recognized scientific importance.

Limitations

• Conflicting metadata: last updated date is listed as both 2003-04-15 and 2026-03 13 across sources.
• Core dataset columns, row counts, and specific file sizes are not documented in the provided metadata.
• The product is an archived model package; the primary data format is not a standard analytical table.

Provenance

Source

ORNL_CLOUD, based on the research of Law B.E., Sun O.J., Campbell J., Van Tuyl S., and Thornton P.E.

Collection Method

Biological measurements from field plots combined with forest inventory data, used to parameterize and validate the Biome-BGC process model.

Time Range

Measurements were made in 2000; model and study published in 2003.

Freshness

2026-03-13 07:53:04.126393

Geography

Central Oregon, USA.