Drewer, J. ; White, S.; Sionita, R. ; Pujianto, P.

Nitrous oxide and methane fluxes from different understory treatments in oil palm plantations in Riau, Indonesia 2018-2019

This dataset contains terrestrial fluxes of nitrous oxide (N2O), methane (CH4) and ecosystem respiration (carbon dioxide (CO2)) calculated from static chamber measurements in mature oil palm plantations on mineral soil, managed by Sinar Mas Agro Resources and Technology Research Institute (SMARTRI) and located on the Ujung Tanjung Estate in Riau, Sumatra, Indonesia. Measurements were made monthly, from October 2018 until September 2019.

A total of 54 static chambers were installed across nine plots, representing three different understory vegetation treatments: normal complexity (an intermediate-level of understory spraying with herbicide); reduced complexity (spraying of all understory vegetation with herbicides); and enhanced complexity (no herbicide spraying and limited understory cutting). Six chambers were installed in each of the nine plots, resulting in 18 replicates of each treatment. In addition, soil moisture measurements were also taken around each chamber.

The dataset was associated with a foreign research permit, issued by Foreign Research Permit Division Ministry of Research and Technology/National Research and Innovation Agency, Indonesia. As the project spanned two years it was covered by two permits, RISTEK permit number: 323/SIP/FRP/E5/Dit.KI/X/2018 and RISTEK permit number: 8B/TKPIPA/E5/Dit.KI/VIII/2019.

Publication date: 2020-07-20

Get the data

Format of the data: Comma-separated values (CSV)

You must cite: Drewer, J. ; White, S.; Sionita, R. ; Pujianto, P. (2020). Nitrous oxide and methane fluxes from different understory treatments in oil palm plantations in Riau, Indonesia 2018-2019. NERC Environmental Information Data Centre. https://doi.org/10.5285/378f028d-ab04-4fa5-a5ca-61f78ea0adb0

 

UK Centre for Ecology and Hydrology

Where/When

Study area
Temporal extent
2018-10-01    to    2019-09-30

Provenance & quality

The data were collected using the static chamber method. Gas samples were taken from chambers in the field via syringe and injected into vials for storage and later analysis. Samples were analysed on a gas chromatograph (GC) in the laboratory. Concentrations were calculated from GC peak areas, calibrated against standard gases of known concentration. Fluxes were calculated from the concentration change in each chamber by linear and non-linear regression, using the R package RCflux. Fluxes are expressed as micromoles of methane per square metre per second. Each flux has an associated 95 % confidence interval, based on the regression fit, which gives a guide to the reliability and uncertainty of each measurement.

This work is part of the Biodiversity and Ecosystem Function in Tropical Agriculture (BEFTA) programme, a collaborative research project established in 2012 as a collaboration of the University of Cambridge and Sinar Mas Agro Resources and Technology Research Institute (SMARTRI). This work was funded by the UK Natural Environment Research Council (grant NE/R005214/1).

Correspondence/contact details

White, S.
UK Centre for Ecology & Hydrology
 enquiries@ceh.ac.uk

Authors

Drewer, J.
UK Centre for Ecology & Hydrology
White, S.
UK Centre for Ecology & Hydrology
Sionita, R.
Sinar Mas Agro Resources and Technology Research Institute (SMARTRI)
Pujianto, P.
Sinar Mas Agro Resources and Technology Research Institute (SMARTRI)

Other contacts

Custodian
Environmental Information Data Centre
 info@eidc.ac.uk
Publisher
NERC Environmental Information Data Centre
 info@eidc.ac.uk
Rights Holder
UK Centre for Ecology & Hydrology
 enquiries@ceh.ac.uk

Additional metadata

Topic categories
Environment , Farming
Keywords
Agriculture Biodiversity carbon dioxide,  CH4,  Climate and climate change CO2,  Ecosystem services Elaeis guineensis greenhouse gas emissions,  Indonesia methane,  N2O,  nitrous oxide (,  RCFlux,  Riau
Funding
Natural Environment Research Council Award: NE/R005214/1
Spatial representation type
Tabular (text)
Spatial reference system
WGS 84
Last updated
20 January 2021 12:10