Identification

Title

Automated high resolution soil respiration campaign data from Climoor fieldsite in Clocaenog Forest (2013 - 2014)

Abstract

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

Resource type

dataset

Resource locator

https://data-package.ceh.ac.uk/sd/dcfc2081-f42c-4238-93dd-2ce64438b3ea.zip

name: Supporting information

description: Supporting information available to assist in re-use of this dataset

function: information

https://data-package.ceh.ac.uk/data/dcfc2081-f42c-4238-93dd-2ce64438b3ea

name: Download the data

description: Download a copy of this data

function: download

Unique resource identifier

code

https://catalogue.ceh.ac.uk/id/dcfc2081-f42c-4238-93dd-2ce64438b3ea

codeSpace

doi:

Dataset language

eng

Spatial reference system

code identifying the spatial reference system

Classification of spatial data and services

Topic category

environment

Keywords

Keyword set

keyword value

Environmental Monitoring Facilities

originating controlled vocabulary

title

GEMET - INSPIRE themes, version 1.0

reference date

date type

publication

effective date

2008-06-01

Keyword set

keyword value

originating controlled vocabulary

title

GeoNames

reference date

date type

creation

effective date

2006-01-01

Keyword set

keyword value

North Wales

Heathland

Soil

Plot level data

High resolution data

Soil Carbon

CO2

flux

LICOR

Geographic location

West bounding longitude

-3.479

East bounding longitude

-3.391

North bounding latitude

53.077

South bounding latitude

53.033

Temporal reference

Temporal extent

Begin position

2013-06-13

End position

2014-08-26

Dataset reference date

date type

publication

effective date

2016-06-07

date type

creation

effective date

2016-05-23

Frequency of update

notPlanned

Quality and validity

Lineage

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.

Conformity

Conformity report

specification

title

Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services

reference date

date type

publication

effective date

2010-12-08

degree

explanation

Data format

name of format

Comma-separated values (CSV)

version of format

Constraints related to access and use

Constraint set

Limitations on public access

Constraint set

Limitations on public access

Constraint set

Limitations on public access

Constraint set

Limitations on public access

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

owner

Metadata on metadata

Metadata point of contact

organisation name

Environmental Information Data Centre

full postal address

Lancaster Environment Centre, Library Avenue, Bailrigg

Lancaster

LA1 4AP

email address

info@eidc.ac.uk

responsible party role

pointOfContact

Metadata date

2022-05-20T10:55:20

Metadata language

eng