Brief description
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 PyFluxPro (v3.4.21) as described by Isaac et al. (2017) 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.
Ashley Dene Dry is a paired site, growing irrigated and non-irrigated lucerne & #40;Medicago sativa L.& #41; until 2020, then converted to dairy pasture with rotational grazing. It is located on a research dairy station on the Mid-Canterbury plains, South Island, New Zealand, owned and managed by Lincoln University. The lucerne crops and the pivot-irrigation system were established in spring 2015. The flux sites began operating in 2015/16. The research is supported by the Endeavour Fund and the Strategic Science Investment Fund from New Zealand’s Ministry of Business, Innovation and Employment, and for the pasture phase also from the New Zealand Agricultural Greenhouse Gas Research Centre.
Lineage
Data collected using standard eddy covariance and meteorological instrumentation on a 4m tower at the Ashley Dene Dry site. The data were quality controlled using the PyFluxPro software package, see Isaac et al (2017), which is available at https://github.com/OzFlux/PyFluxPro. 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.Data Creation
Data is measured using standard micro-meteorological instrumentation on a flux tower.
Data is recorded on a data logger and is collected by the site PI.
Data quality control including removal of data outside plausible ranges, removal of spikes, exclusion of particular date ranges and removal of data based on the dependence of one variable on another is done using PyFluxPro.
Filtering for low-ustar conditions, gap filling and partitioning of NEE into GPP and ER are done using ONEFlux.
Notes
CreditWe 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.
The purpose of the Ashley Dene Dry flux station is to examine the impact of land management practices on:
- soil carbon stores
- leaching of nitrates from the soil
- net greenhouse gas emissions
- ecosystem water use
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The effect of land management practices were examined by have paired sites over irrigated and non-irrigated lucerne pastures.
Data Quality Assessment Scope
local :
dataset
The data have been quality controlled using the PyFluxPro software. Quality control checks applied to the data include:<ul style="list-style-type: disc;">
<li>range checks for plausible limits</li>
<li>spike detection and removal</li>
<li>dependency on other variables</li>
<li>manual rejection of date ranges</li></ul>
<br>
Specific checks applied to the sonic and IRGA data including rejection of points based on the sonic and IRGA diagnostic values and on either automatic gain control (AGC) or CO2 and H2O signal strength, depending upon the configuration of the IRGA.</br>
<br>If the data quality is poor, the meteorological data is filled from ERA5 reanalysis data and fluxes are filled using the Marginal Distribution Sampling method. Filled data can be identified by the Quality Controls flags in the dataset. </br>
<br>The ONEFlux software used to gap fill and partition this data set also applies a Median Absolute Deviation (MAD) filter to the carbon dioxide, latent heat and sensible heat before the gap filling step.</br>
Isaac P., Cleverly J., McHugh I., van Gorsel E., Ewenz C. and Beringer, J. (2017). OzFlux data: network integration from collection to curation, Biogeosciences, 14: 2903-2928
doi :
https://doi.org/10.5194/bg-14-2903-2017
Data Quality Assessment Result
local :
Quality Result
No anomalous data detected after quality control.
Created: 2025-12-11
Issued: 2026-03-25
Modified: 2026-03-25
Data time period: 2016-01-20 to 2018-07-01
text: The Ashley Dene Dry flux tower was located at 30 km south-west of the city of Christchurch.
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Point-of-truth metadata URL
Isaac P., Cleverly J., McHugh I., van Gorsel E., Ewenz C. and Beringer, J. (2017). OzFlux data: network integration from collection to curation, Biogeosciences, 14: 2903-2928
doi :
https://doi.org/10.5194/bg-14-2903-2017
PyFluxPro
uri :
https://github.com/OzFlux/PyFluxPro
ONEFlux
uri :
https://github.com/fluxnet/ONEFlux
Pastorello, G., Trotta, C., Canfora, E. et al. The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data. Sci Data 7, 225 (2020).
- URI : geonetwork.tern.org.au/geonetwork/srv/eng/catalog.search#/metadata/f2516284-3d85-428b-a7e4-e0af71cc3a81
- global : f2516284-3d85-428b-a7e4-e0af71cc3a81
