nonCciKeyword

soil

44 record(s)

 

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From 1 - 10 / 44
  • Data comprise phytohormone concentrations (plant growth hormones: adenosine, zeatin, isopentenyladenosine, indole-3-acetic acid and abscisic acid) measured during plant growth experiments in soil and hydroponic growth media in the presence and absence of earthworms (Lumbricus terrestris and Eisenia fetida respectively). Also presented are plant biomass, pH of the hydroponic solution and soil biological activity (concentration of Fluorescein diacetate - a measure of the hydrolytic capacity) at the end of the study. The study was funded by the NERC (Grant number NE/M000648/1). Mass spectrometry was carried out in The York Centre of Excellence in Mass Spectrometry; the centre was created thanks to a major capital investment through Science City York, supported by Yorkshire Forward with funds from the Northern Way Initiative, and subsequent support from EPSRC (EP/K039660/1; EP/M028127/1). Full details about this dataset can be found at https://doi.org/10.5285/809cd6e8-0615-45ff-b79b-6ba1ae474713

  • The dataset consists of pH values from soil samples taken in Roudsea Wood National Nature Reserve in 1961. Soil samples were taken from between 5 and 10cm in depth from transects across the reserve and from under oak trees. pH was measured by the Woodlands Research Section at The Nature Conservancy's Merlewood Research Station, Grange over Sands, Cumbria and the data have been stored and digitised by the Centre for Ecology & Hydrology, Lancaster. Full details about this dataset can be found at https://doi.org/10.5285/1b977181-a3bf-4535-b38e-32509001f7aa

  • This dataset consists of measures of topsoil mineralisable nitrogen (Mineral-N) from soils sampled from up to 256 1km squares across Great Britain in 2007. The Countryside Survey is a unique study or 'audit' of the natural resources of the UK's countryside. The sample sites are chosen from a stratified random sample, based on a 15 by 15 km grid of GB. Surveys have been carried out in 1978, 1984, 1990, 1998 and 2007 by the Centre for Ecology & Hydrology, with repeated visits to the majority of squares. The countryside is sampled and surveyed using rigorous scientific methods, allowing us to compare new results with those from previous surveys. In this way we can detect the gradual and subtle changes that occur in the UK's countryside over time. In addition to soil data, habitat areas, vegetation species data, linear habitat data, and freshwater habitat data are also gathered by Countryside Survey. Full details about this dataset can be found at https://doi.org/10.5285/3bafb72b-9f2a-4cbc-a7b8-46e3731c6759

  • These data are NERC-funded but not held by the EIDC. These data are archived in the SAFE repository, hosted by Zenodo. This dataset contains calculated greenhouse gas fluxes and associated parameters from 56 static chambers that were installed within the Stability of Altered Forest Ecosystems (SAFE) landscape in Malaysian Borneo. Of the chosen ‘fragment’ in the SAFE design, all chambers were put in the 10 ha fragments. Four chambers each were placed in each of the two 10 ha plots in Logged Fragmented Forest (LFE), Fragment B, and Fragment E resulting in 8 per site. Additionally 12 chambers were installed in a 7-year old oil palm plantation, 8 in a young (2-year) old oil palm and 8 in a 12 – year old oil palm plantations. All 56 chambers were sampled for greenhouse gases (methane, nitrous oxide and carbon dioxide soil respiration) every two months over a two-year period from January 2015 to November 2016, resulting in 12 measurement occasions for each of the chambers. Other environmental parameters were measured during the time of chamber enclosure as possible explanatory variables for correlation with recorded greenhouse gas fluxes including soil and air temperature, soil moisture, soil mineral N (nitrate and ammonium).

  • These data comprise substrate utilisation profiles (using the BIOLOG gram-negative method) and moisture content data from soil sampled in an upland grassland experiment at Sourhope, Scotland. BIOLOG-GN (gram-negative) substrate utilisation analyses were used to give an indication of the ability of a subset of the bacterial community to utilise various carbon sources. These data include both temporal and spatial diversity in different depths of semi-natural grassland soil cores collected at different sample dates. Samples were collected in July 1999, October 1999, April 2000 and August 2000. Data were collected as part of the NERC Soil Biodiversity Thematic Programme, established in 1999 and centred upon the intensive study of a large field experiment located at the Macaulay Land Use Research Institute (now the James Hutton Institute)'s farm at Sourhope in the Scottish Borders (Grid reference: NT 8545 1963). During this time, the site was monitored to assess changes in aboveground biomass production (productivity), species composition and relative abundance (diversity). Full details about this dataset can be found at https://doi.org/10.5285/c42b0e3b-69e4-4941-addf-20c2e0612c58

  • Data are presented of enzymatic activity of soil collected from paired intensive and extensive grassland systems including low and high pH parent soils, from 32 sites across the United Kingdom. The samples were collected during winter and spring 2015-2016 by project staff experienced in soil core collection. Dry soil samples were analysed for a suit of extracellular hydrolytic enzyme activities. Fluorescently labeled substrates were used to enable the activity of the following enzymes to be measured. All analysis was carried out at CEH Wallingford. The data were collected to help understand soil functional change in a variety of management and climatic scenarios as part of NERC U-GRASS (Understanding and enhancing soil ecosystem services and resilience in UK grass and croplands) award (NERC Reference NE/M017125/1) part of the NERC Soil Security Programme. Full details about this dataset can be found at https://doi.org/10.5285/15026591-f803-4b18-a359-cd69ea0e6069

  • This is an application providing code for the non-parametric comparison of soil depth profiles, and testing for significant differences between soil depth profiles, using bootstrapped Loess (local) regressions (BLR). The BLR approach was developed to be able to compare and test for significant differences in potentially non-linear depth profiles of soil properties across land use transitions, which does not need to meet any parametric distribution assumptions, and is intended to be generally applicable regardless of specific contexts of land use and soil type. A small dataset is provided with the code to demonstrate the BLR approach and its outputs. The code was written using the R statistical programming language and provides two examples of the BLR approach. This application was created by the Centre for Ecology & Hydrology at Lancaster in 2015 during the ELUM (Ecosystem Land Use Modelling & Soil Carbon GHG Flux Trial) project, which was commissioned and funded by the Energy Technologies Institute (ETI). Full details about this application can be found at https://doi.org/10.5285/d4f92cd8-43e8-49e4-8f9e-efcc0e3b2478

  • [THIS DATASET HAS BEEN WITHDRAWN]. This dataset includes a range of determinands present in soil water in the experimental plot at the Climoor field site in the Clocaenog Forest, in north-east Wales. Soil water was collected at two depths in the soil profile - approximately 5cm and 20cm. At the bottom of the rooting zone (approximately 5cm depth) zero tension lysimeters were used. At the deeper depth (approximately 20cm depth) ceramic cup suction samplers were used. Data were collected between October 1998 and March 2009 at two weekly intervals. Determinands include: pH, Ammonium nitrogen (NH4-N), Nitrate nitrogen (NO3-N), Sulphate (SO4-S), dissolved organic carbon, dissolved organic nitrogen, Calcium (Ca), Potassium (K), Magnesium (Mg), Sodium (Na), Phosphate phosphorus (PO4-P), Chloride (Cl), total dissolved phophorus and total dissolved nitrogen. Full details about this dataset can be found at https://doi.org/10.5285/1deb9ee0-a01c-4ce6-a5b0-a1ad32beeff7

  • These data are from an investigation of the effects of biochar application to soil, on soil greenhouse gas emissions and N transformations within the soil. Biochar is a carbon rich substance which is being advocated as a climate mitigation tool to increase carbon sequestration and reduce nitrous oxide emissions. The data were collected during a 15N pool dilution incubation to investigate the nitrogen transformations within biochar-amended soil following the addition of 15N-labelled ammonium nitrate. Analyses included 15N content of nitrous oxide and 15N content of soil. The N transformations were then modelled using a model for calculating nitrogen fluxes in soil using 15N tracing (FLUAZ model). Full details about this dataset can be found at https://doi.org/10.5285/69d89261-b7ee-4b56-bb13-1128e3c8dd93

  • A set of data arising from a detailed ecological survey of the native Scots Pine woodland habitats within Scotland. In all, 27 woods from throughout Scotland were identified as the major remaining native pinewoods, and within each wood 16 randomly selected 200m2 plots were surveyed (26 of the woods were surveyed in 1971, with 1 extra wood surveyed in 1972). Details about the trees, ground flora, soil, habitat types as well as general plot information were collected for each plot using standardized procedures and coding systems. The survey was carried out by the Nature Conservancy, a forerunner of the Centre for Ecology & Hydrology. Full details about this dataset can be found at https://doi.org/10.5285/56a48373-771c-4d4a-8b5a-45ef496c6e55