Hunt, J. & Laubach, J. (2026). Ashley Dene Wet FLUXNET Release 2026_r1. Version 2026_r1. Terrestrial Ecosystem Research Network. Dataset. https://dx.doi.org/10.25901/60yf-et36
Ashley Dene Wet FLUXNET Release 2026_r1
Ver: 2026_r1
Status of Data: completed
Update Frequency: annually
Security Classification: unclassified
Record Last Modified: 2026-04-06
Viewed 0 times
Accessed 0 times
Dataset Created: 2026-03-27
Dataset Published: 2026-04-06
Data can be accessed from the following links:
How to cite this collection:
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.
Ashley Dene is a paired site, growing irrigated and non-irrigated lucerne Medicago sativa L.; 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.
Ashley Dene is a paired site, growing irrigated and non-irrigated lucerne Medicago sativa L.; 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.
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.
Purpose
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
Lineage
Data collected using standard eddy covariance and meteorological instrumentation on a 4m tower at the Ashley Dene Wet 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.
Method DocumentationPastorello, G., Trotta, C., Canfora, E. et al. The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data. Sci Data 7, 225 (2020).ONEFlux
Procedure Steps
1.
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.
Spatial Description
The Ashley Dene Wet flux tower was located at 30 km south-west of the city of Christchurch.
Temporal Coverage
From 2015-07-01 to 2022-07-01
Spatial Resolution
Data not provided.
Vertical Extent
Data not provided.
Data Quality Assessment Scope
The data have been quality controlled by the site PI using standard micro-meteorological methods.
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.
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.
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.
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.
Data Quality Report
Data not provided.
Data Quality Assessment Outcome
No anomalous data detected after quality control.
ANZSRC - FOR
GCMD Sciences
Horizontal Resolution
Parameters
Temporal Resolution
User Defined
FLUXNET ID
NZ-ADw
Contact Point
Principal Investigator
Terrestrial Ecosystem Research Network
80 Meiers Road, Indooroopilly, Queensland, 4068, Australia.
Contact Us
TERN services are provided on an "as-is" and "as available" basis. Users use any TERN services at their discretion and risk.
They will be solely responsible for any damage or loss whatsoever that results from such use including use of any data obtained through TERN and any analysis performed using the TERN infrastructure.
Web links to and from external, third party websites should not be construed as implying any relationships with and/or endorsement of the external site or its content by TERN.
Please advise any work or publications that use this data via the online form at https://www.tern.org.au/research-publications/#reporting
Web links to and from external, third party websites should not be construed as implying any relationships with and/or endorsement of the external site or its content by TERN.
Please advise any work or publications that use this data via the online form at https://www.tern.org.au/research-publications/#reporting
Please cite this dataset as {Author} ({PublicationYear}). {Title}. {Version, as appropriate}. Terrestrial Ecosystem Research Network. Dataset. {Identifier}.