nonCciKeyword

soil temperature

11 record(s)

 

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From 1 - 10 / 11
  • Soil temperature measurements taken at various sites on Signy Island during the 2008-2009 field season. These measurements were used as part of an investigation to understand the effect of temperature and moisture on the availability of different nitrogen forms.

  • Soil temperature was monitored at 5 soil sampling times and ambient air temperature was monitored at each site throughout the field season. The sampling sites were: Bare soil at higher elevations, namely Observation Bluff, Factory Bluffs, Jane Col and lower parts of Spindrift Col; Soils from below mosses on the Backslope and on Moss Braes. Soils from below higher plant species at Bernsten Point, Factory Bluffs, Moss Braes and North Point. Orthinogenic soils from around penguin colonies at Gourlay Peninsula, Spindrift Rocks and North Point and disturbed soil from around Signy Base.

  • This dataset consists of measurements of leaf and root growth, species abundance and soil temperature made in ten subarctic plant communities located at the Arctic Biosphere Atmosphere Coupling at Multiple Scales (ABACUS) project sites near to Abisko, Sweden, and Kevo, Finland. The data were collected during the summer growing seasons (May to September) in 2008 and 2009, and comprise field survey measurements, temperature logs and values derived from analyses of mini-rhizotron images. Full details about this dataset can be found at https://doi.org/10.5285/887a5e91-93be-4f5d-8674-b2d22a1ae8ae

  • This dataset contains greenhouse gas flux data and vegetation survey data from an experiment based at Winklebury Hill, UK. The vegetation survey comprises total species percentage cover and species richness data from four 50 cm by 50 cm quadrats. The greenhouse gas flux data comprises net ecosystem carbon dioxide exchange, photosynthesis and respiration data measured with an Infra-red Gas Analyser (IRGA); methane, carbon dioxide and nitrous oxide data measured using gas chromatography; and nitrate and ammonium from soil samples extracted with potassium chloride. The experiment used seeds and plug plants to create different plant communities on the bare chalk on Winklebury Hill and tested the resulting carbon and nutrient cycling rates and compared these to the characteristics of different plant functional groups. The experiment ran from 2013 to 2016 and this dataset contains data from 2014 only. This experiment was part of the Wessex BESS project, a six-year (2011-2017) project aimed at understanding how biodiversity underpins the ecosystem functions and services that landscapes provide. Full details about this dataset can be found at https://doi.org/10.5285/1e9cd575-66a0-4d7e-920c-4ce462efe5ce

  • [THIS DATASET HAS BEEN WITHDRAWN]. This dataset contains daily and sub-daily hydrometeorological and soil observations from COSMOS-UK (cosmic-ray soil moisture) monitoring network from October 2013 to the end of 2017. These data are from 46 sites across the UK recording a range of hydrometeorological and soil variables. Each site in the network hosts a cosmic-ray sensing probe; a novel sensor technology which can be used, in combination with hydrometeorological data, to calculate the volumetric water content of soil over a field scale. The hydrometeorological and soil data are recorded at a 30 minute resolution and they include neutron counts from the Cosmic-ray sensing probe, humidity and atmospheric pressure data that are used to derive volumetric water content at two temporal resolutions (hourly and daily). Also included are soil heat flux, air temperature, wind speed and radiation data which are used to derive potential evapotranspiration at a daily resolution. This work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability. Full details about this dataset can be found at https://doi.org/10.5285/a6012796-291c-4fd6-a7ef-6f6ed0a6cfa5

  • The data resource comprises of two datasets. The first dataset comprises of fortnightly measurements soil respiration, soil temperature, soil moisture and photosynthetic activity. The second data set comprises of fortnightly measurements of rainfall, throughfall and water table depth. Data were collected from the climate change field site Climoor that is located in Clocaenog forest, Northeast Wales during 2015 and 2016. 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,) All measurements of this dataset have been carried out every fortnight if not indicated otherwise. Rainfall in millimetres (mm) was measured at the site using a ground-level rain gauge. Rain throughfall (in mm) was measured in each plot using a funnel-bottle construction to collect rain water in the plant canopy. Water table depth was measured for each plot using a measuring tape. Soil respiration and related soil temperature and soil moisture were measured in three areas of each plot. Soil respiration was measured in pre-installed opaque soil collars (20 centimetre diameter) that were installed in 1999. An infra-red gas analyser (EGM-4) was used. Photosynthetic active radiation was measured above the canopy while the soil respiration measurement was conducted. The measurements were carried out by different groups of CEH Bangor staff. 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. More detailed information about the field site, measurements and related datasets can be found in the supporting documentation. Soil respiration data for 1999-2015 are published and can be requested using the NERC Environmental Information Data Centre and the DOI: 10.5285/4ed6f721-b23b-454e-b185-02ba54d551f0. Full details about this dataset can be found at https://doi.org/10.5285/9df4ca6b-6c24-44f9-be25-0bd97ff9594e

  • Automatic data loggers are often used to monitor environmental variables such as temperature (of air and soil), humidity, wind speed and radiation in microclimates where experimental or ecological studies are being carried out. Some loggers are only in operation for a few weeks or months while others have been run for several years. Loggers have been sited in a wide variety of locations from the sub-Antarctic (South Georgia), South Orkney Islands (Signy) various Peninsula sites (as far south as Alexander Island - 70S), and some continental localities (e.g. Victoria Land). These form an important data resource to the climate conditions experienced by Antarctic terrestrial organisms. Various types of logger are used. Sensors tend to be deployed at or near ground level and in and around particular types of vegetation, or other experimental sites, such as cloches. Loggers used include Grant, Delta-T, Campbell and Squirrels. Victoria Land data for Kay Island and Edmonson Point in 1995 and 1996 was collected under the BIOTEX 1 experiment of the SCAR BIOTAS (Biological Investigations of Terrestrial Antarctic Systems) Programme. An overview of BIOTEX is available as a PDF file.

  • [THIS DATASET HAS BEEN WITHDRAWN]. This dataset contains daily and sub-daily hydrometeorological and soil observations from COSMOS-UK (cosmic-ray soil moisture) monitoring network from October 2013 to the end of 2018. These data are from 50 sites across the UK recording a range of hydrometeorological and soil variables. Each site in the network records the following hydrometeorological and soil data at 30 minute resolution: Radiation (short wave, long wave and net), precipitation, atmospheric pressure, air temperature, wind speed and direction, humidity, soil heat flux, and soil temperature and volumetric water content (VWC), measured by point senors at various depths. Each site hosts a cosmic-ray sensing probe; a novel sensor technology which counts fast neutrons in the surrounding atmosphere. In combination with the recorded hydrometeorological data, neutron counts are used to derive VWC over a field scale (COSMOS VWC), at two temporal resolutions (hourly and daily). The presence of snow leads to erroneously high measurements of COSMOS VWC due to all the extra water in the surrounding area. Included in the daily data are indications of snow days, on which, the COSMOS VWC are adjusted and the snow water equivalent (SWE) is given. The potential evapotranspiration (PE), derived from recorded hydrometeorological and soil are also included at daily resolution. Two levels of quality control are carried out, firstly data is run through a series of automated checks, such as range tests and spike tests, and then all data is manually inspected each week where any other faults are picked up, including sensor faults or connection issues. Quality control flags are provided for all recorded (30 minute) data, indicating the reason for any missing data. Full details about this dataset can be found at https://doi.org/10.5285/37702a54-b7a4-40ff-b62e-d14b161b69ca

  • Eddy covariance (EC) observations of surface-atmosphere exchanges of sensible heat and latent heat, momentum and net ecosystem carbon dioxide exchange were measured at thirty minute resolution at three Land Surface Stations in India. The dataset includes ancillary weather and soil physics observations, as well as variables describing atmospheric turbulence and the quality of the turbulent flux observations. Meteorological observations include: the net radiation and its incoming and outgoing short- and long-wave components, air temperature, barometric pressure, relative humidity, wind speed and direction, and rainfall. Soil physics observations include: Soil heat fluxes, soil temperatures and soil volumetric water content. Observations were collected under the Interaction of Convective Organization and Monsoon Precipitation, Atmosphere, Surface and Sea (INCOMPASS) Project between January 2016 and January 2018. Full details about this dataset can be found at https://doi.org/10.5285/78c64025-1f8d-431c-bdeb-e69a5877d2ed

  • This dataset contains daily and sub-daily hydrometeorological and soil observations from COSMOS-UK (cosmic-ray soil moisture) monitoring network from October 2013 to the end of 2019. These data are from 51 sites across the UK recording a range of hydrometeorological and soil variables. Each site in the network records the following hydrometeorological and soil data at 30 minute resolution: Radiation (short wave, long wave and net), precipitation, atmospheric pressure, air temperature, wind speed and direction, humidity, soil heat flux, and soil temperature and volumetric water content (VWC), measured by point senors at various depths. Each site hosts a cosmic-ray sensing probe; a novel sensor technology which counts fast neutrons in the surrounding atmosphere. In combination with the recorded hydrometeorological data, neutron counts are used to derive VWC over a field scale (COSMOS VWC), at two temporal resolutions (hourly and daily). The presence of snow leads to erroneously high measurements of COSMOS VWC due to all the extra water in the surrounding area. Included in the daily data are indications of snow days, on which, the COSMOS VWC are adjusted and the snow water equivalent (SWE) is given. The potential evapotranspiration (PE), derived from recorded hydrometeorological and soil are also included at daily resolution. Two levels of quality control are carried out, firstly data is run through a series of automated checks, such as range tests and spike tests, and then all data is manually inspected each week where any other faults are picked up, including sensor faults or connection issues. Quality control flags are provided for all recorded (30 minute) data, indicating the reason for any missing data. This work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability. Full details about this dataset can be found at https://doi.org/10.5285/b5c190e4-e35d-40ea-8fbe-598da03a1185