NERC Data Catalogue Service
Automated high resolution soil respiration campaign data from Climoor fieldsite in Clocaenog Forest (2013 - 2014)
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. Full details about this dataset can be found at
https://doi.org/10.5285/dcfc2081-f42c-4238-93dd-2ce64438b3ea
Simple
- Date (Publication)
- 2016-06-07
- Date (Creation)
- 2016-05-23
- Identifier
- doi: / 10.5285/dcfc2081-f42c-4238-93dd-2ce64438b3ea
- Other citation details
- Reinsch, S., Emmett, B.A., Brooks, M.R. (2016). Automated high resolution soil respiration campaign data from Climoor fieldsite in Clocaenog Forest (2013 - 2014). NERC Environmental Information Data Centre 10.5285/dcfc2081-f42c-4238-93dd-2ce64438b3ea
- Maintenance and update frequency
- notPlanned Not planned
- GEMET - INSPIRE themes, version 1.0
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- Environmental Monitoring Facilities
- GEMET - Concepts, version 4.1.3
- GeoNames
- Keywords
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- Soil
- LICOR
- North Wales
- Plot level data
- High resolution data
- Soil Carbon
- flux
- Access constraints
- otherRestrictions Other restrictions
- Other constraints
- no limitations
- Use constraints
- otherRestrictions Other restrictions
- Use constraints
- otherRestrictions Other restrictions
- Other constraints
- © UK Centre for Ecology & Hydrology
- Use constraints
- otherRestrictions Other restrictions
- Other constraints
- If you reuse this data, you should cite: Reinsch, S., Emmett, B.A., Brooks, M.R. (2016). Automated high resolution soil respiration campaign data from Climoor fieldsite in Clocaenog Forest (2013 - 2014). NERC Environmental Information Data Centre https://doi.org/10.5285/dcfc2081-f42c-4238-93dd-2ce64438b3ea
- Spatial representation type
- textTable Text, table
- Metadata language
- EnglishEnglish
- Character set
- utf8 UTF8
- Topic category
-
- Environment
- Begin date
- 2013-06-13
- End date
- 2014-08-26
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S
E
W
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- Unique resource identifier
- WGS 84
- Distribution format
-
-
Comma-separated values (CSV)
()
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Comma-separated values (CSV)
()
- OnLine resource
-
Supporting information
Supporting information available to assist in re-use of this dataset
- OnLine resource
-
Download the data
Download a copy of this data
- Hierarchy level
- dataset Dataset
- Other
- dataset
Conformance result
- Date (Publication)
- 2010-12-08
- Statement
- 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.
- File identifier
- dcfc2081-f42c-4238-93dd-2ce64438b3ea XML
- Metadata language
- EnglishEnglish
- Character set
- ISO/IEC 8859-1 (also known as Latin 1) 8859 Part 1
- Hierarchy level
- dataset Dataset
- Hierarchy level name
- dataset
- Date stamp
- 2025-11-13T16:19:21
- Metadata standard name
- UK GEMINI
- Metadata standard version
- 2.3
Point of contact
NERC EDS Environmental Information Data Centre
Lancaster Environment Centre, Library Avenue, Bailrigg
,
Lancaster
,
LA1 4AP
,
UK
https://eidc.ac.uk/
Overviews
Spatial extent
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W
Provided by
Associated resources
Not available