NPP Tropical Forest: Darien, Panama, 1967-1968, R1

This NPP data set contains one ASCII file (.txt format). The data file contains above- and below-ground biomass, litterfall, LAI, vegetation/soil micro-nutrient content (P, K, Ca, Mg, etc.), and above-ground net primary productivity (ANPP) estimates for transitional moist/dry tropical forests at Rio Lara (wet season site) and Rio Sabana (dry season site) in Darien Province, Panama. Field measurements were made in 1967 and 1968. No climate data are provided. Apart from litter quantity, most of the differences between these data reflect variations between the two plots sampled, rather than seasonal changes. Both plots were considered representative of the surrounding forest. The area was thought to have been forested for the previous 400 years, following abandonment of open savanna lands maintained by the Precolumbian Indians. Total annual leaf and branch fall averaged for the two sites was 1,137 g/m2/yr, representing a minimum ANPP estimate. Litter decomposition over the 9-month wet season was around 90%. LAI at both sites was high; however, the index for the dry site (10.6 m2/m2) was only half that of the wet season site (22.4 m2/m2).

Data and Resources

Additional Info

Field Value
Maintainer Earthdata Forum
Last Updated April 13, 2026, 20:14 (UTC)
Created April 1, 2025, 18:09 (UTC)
accessLevel public
bureauCode {026:00}
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harvest_object_id 874a6605-90bb-4327-b944-18d76dbce83c
harvest_source_id b99e41c6-fe79-4c19-bbc3-9b6c8111bfac
harvest_source_title Science Discovery Engine
identifier 10.3334/ORNLDAAC/215
license https://www.usa.gov/government-works
modified 2026-04-06T22:16:01Z
programCode {026:000}
publisher ORNL_DAAC
resource-type Dataset
source_datajson_identifier true
source_hash 02766c9cbbba474842affd920fe32c86b80a1667865aca3e87f63e034673be19
source_schema_version 1.1
spatial [[{"WestBoundingCoordinate":-78.12,"NorthBoundingCoordinate":8.66,"EastBoundingCoordinate":-78.12,"SouthBoundingCoordinate":8.66}],"CARTESIAN"]
temporal 1967-02-02/1968-02-27
theme {"Earth Science"}