This dataset provides data on automated high resolution soil respiration measurements as micromoles of Carbon dioxide per square metre per second. Automated high resolution soil measurements were carried out in campaigns in 2013 and 2014. Campaigns were carried out monthly between June and October 2013 and in June and August 2014 capturing the plants growing season. Data were collected from the climate change field site, Climoor, that is located in the Clocaenog forest, North East Wales. The experimental field site consists of three untreated control plots three plots where the plant canopy air is artificially warmed during night time hours and three plots where rainfall is excluded from the plots at least during the plants growing season (March to September). Measurements were taken with automated soil respiration chambers. The Climoor field experiment intends to answer questions regarding the effects of warming and drought on ecosystem processes. Plot level soil respiration measurements are important to investigate soil carbon dynamics and changes in soil carbon cycling and storage under the imposed climatic treatments. Soil respiration measurements were carried out by trained CEH Bangor members of staff.
Publication date: 2016-06-07
This dataset is part of the following
Automated soil respiration measurements were carried out as daily-weekly campaigns 2013 and 2014. Therefore, one soil collar (20.3 cenimetre (cm) diameter) was installed (6-8 cm deep) per plot on top of one out of three permanent soil respiration collars in June 2013. Areas were chosen where vegetation (mostly calluna vulgaris) could be tied back and removal of vegetation could be avoided. Following installation, the vegetation surrounding the collars was not visually affected suggesting limited or no disturbance to the plants, however, the soil became visibly drier with time. Collars remained in the soil and re-grown vegetation was removed regularly throughout the years.
Automated soil respiration chambers (8100-104, LI-COR, Bad Homburg, Germany) were coupled via a multiplexer (LI-8150, LI-COR) to an infrared Carbon Dioxide (CO2) analyser (LI-8100A, LI-COR) in each plot (n = 9). Automated measurements (120 sec) were taken every hour for at least 24 hours.
The HMR-package for R was used to calculated soil respiration rates from CO2 concentrations measured by the infrared gas analyser. For each point, the CO2 concentration was plotted against time, taking the chamber area and volume into account. An acclimation phase of 25 seconds was applied where respiration rates are likely to be disturbed by the closure of the chambers. Soil respiration was estimated by linear regression because it provided a better fit over suggested non-linear regressions. Fits of linear regressions were checked visually. The slope of the regression equals the soil CO2 efflux per square metre and unit time. Values are reported in micromoles of Carbon dioxide per square metre per second . Data were exported to Excel as .csv files for ingestion into the EIDC.