December 2008 to present flux tower measurements from a complex mesophyll vine forest in the Daintree Rainforest, Australia. The data were processed by James Cook University using PyFluxPro (v3.4.23) to produce gap-filled Net Ecosystem Exchange (NEE), Gross Primary Productivity (GPP), and Ecosystem Respiration (ER) products. The site is part of the Terrestrial Ecosystem Research Network (TERN) and the FNQ Rainforest SuperSite.
Use Cases
- Modeling carbon sequestration based on gap-filled Net Ecosystem Exchange (NEE) data.
- Analyzing ecosystem respiration (ER) and gross primary productivity (GPP) partitioning in a biodiverse forest.
- Studying microclimate dynamics based on supplementary measurements of temperature, humidity, wind, and radiation.
- Investigating the impact of high precipitation (3935 mm annual average) on forest-atmosphere exchange.
Strengths
- Data processed with a specific, documented methodology (PyFluxPro v3.4.23 as per Isaac et al., 2017).
- Provides a final, gap-filled product for key carbon flux variables (NEE, GPP, ER).
- Includes long-term temporal coverage from a site established in December 2008.
- Site metadata is detailed, including forest type (94 species in 1 Ha), tree height (22 m), and elevation (90 m).
Limitations
- The early years (2009-2012) had several data gaps.
- Shadowing of radiometric equipment causes artifacts in radiation measurements.
- Column-level documentation is absent; field semantics must be inferred after download.
Provenance
- Source
- James Cook University, Terrestrial Ecosystem Research Network (TERN)
- Collection Method
- Eddy covariance techniques using open-path flux instruments mounted on a 35 m tower.
- Time Range
- December 2008 to present
- Freshness
- Last updated 2026-05-21 19:53:40.102919; freshness should be verified.
- Geography
- Cow Bay, Daintree Rainforest, Queensland, Australia