This release consists of flux tower measurements of the exchange of energy and mass between the surface and the atmospheric boundary-layer using eddy covariance techniques. Data were processed using standard micrometeorological methods for the quality control and post-processing steps. The final, gap-filled product containing Net Ecosystem Exchange (NEE) partitioned into Gross Primary Productivity (GPP) and Ecosystem Respiration (ER) has been produced using the ONEFlux software as described in Pastorello et al (2020). This data set has been produced as part of the FLUXNET Shuttle project.
The Kopuatai EC tower is located in a raised bog on the Hauraki Plains of New Zealand’s North Island, one of the country’s largest intact wetlands and peatlands. The site is dominated by peat-forming vegetation, particularly Empodisma minus, and has been protected as a Ramsar site since 1989. The bog spans about 100 km² with peat depths up to 14 m and vegetation including rushes, sedges, and mānuka. It has a mean annual temperature of 14.6°C and rainfall of 1262 mm, though its long-term sustainability is uncertain due to climate change and surrounding agriculture.
Credit
We at TERN acknowledge the Traditional Owners and Custodians throughout Australia, New Zealand and all nations. We honour their profound connections to land, water, biodiversity and culture and pay our respects to their Elders past, present and emerging.
Lineage
Data collected using standard eddy covariance and meteorological instrumentation on a 4.5m tower at the Kopuatai site. The data were quality controlled by the site Principle Investigator. Gap filling and partitioning has been done using the ONEFlux software package, see Pastorello et al 2020, which is available at
https://github.com/fluxnet/ONEFlux.
Procedure Steps1.
Data is measured using standard micro-meteorological instrumentation on a flux tower.
2.
Data is recorded on a data logger and is collected by the site PI.
3.
Data quality control and post-processing has been done by the site PI.
4.
Filtering for low-ustar conditions, gap filling and partitioning of NEE into GPP and ER are done using ONEFlux.