Barro Colorado Island Tropical Forest NPP and Biomass Data
Updated 2mo ago
6filesBIN
Available on 2 platforms
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Description
Field measurements from 1969-1990 provide net primary productivity (NPP) data for the moist lowland tropical forest on Barro Colorado Island, Panama. Estimates for above-ground NPP, biomass, litterfall, tree growth, mortality, and herbivory are derived from multi-year field campaigns and allometric equations. The dataset, managed by ORNL_CLOUD, includes three ASCII files covering NPP and onsite climate data.
Use Cases
Modeling tropical forest carbon budgets using net primary productivity (NPP) and above-ground biomass estimates.
Analyzing long-term litterfall trends using annual accumulation data for leaf, twig, and other litter components.
Studying forest demography through tree growth (554 g/m2/year) and mortality (2-3%) rates.
Assessing herbivory impacts using insect (50 g/m2/year) and estimated vertebrate herbivore loss data.
Correlating forest productivity with local climate conditions using the provided onsite climate data files.
Strengths
Long-term temporal coverage with specific measurement periods spanning from 1969 to 1990 for various components.
Detailed, field-based methodology for key metrics like NPP, biomass, and herbivory, citing specific measurement techniques (e.g., litter traps, allometric equations).
Cross-platform presence on NASA EarthData and Data.gov signals its importance as a foundational ecological dataset.
Limitations
Key metadata conflicts exist: the last updated date is listed as both 2026-03-12 and 2000-12-31 across sources.
Critical structural information is missing, including column names, row counts, and exact file sizes.
Provenance
Source
ORNL_CLOUD
Collection Method
Field measurements of litterfall accumulation, tree growth and mortality, herbivory, and onsite climate recording, combined with allometric regression equations.
Time Range
1969-1990
Freshness
2026-03-12
Geography
Barro Colorado Island, Panama
License is specified as 'other-license-specified'; users must check the specific terms. Data is provided in ASCII (.txt) file format.