nonCciKeyword

Climate and climate change

71 record(s)

 

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From 1 - 10 / 71
  • Regular temperature, rainfall and other weather data, as collected between February 1999 and September 2002 from an on-site Automatic Weather Station, located on experimental plots at Sourhope, Scotland. Data were collected as part of the NERC Soil Biodiversity Thematic Programme, which was established in 1999 and was centred upon the intensive study of a large field experiment located at the Macaulay Land Use Research Institute (now the James Hutton Institute) farm at Sourhope in the Scottish Borders (Grid reference: NT8545019630). During this time, the site was monitored to assess changes in above-ground biomass production (productivity), species composition and relative abundance (diversity). Full details about this dataset can be found at https://doi.org/10.5285/e6e835ae-99e6-445e-b0dc-0d0db44e310a

  • This data set includes longitudinal occurrence of bird species at 36 forest plots – half of which burned during the 2015-16 El Niño drought – distributed across a gradient of prior human disturbance in the Brazilian Amazon. Data was collected in 2010 and 2016 (around 6 years before, and one year after the 2015-16 El Niño, respectively) as part of the projects ‘Assessing ENSO-induced Fire Impacts in tropical Rainforest Ecosystems’ (AFIRE) and ‘Biodiversity and Ecosystem Functioning in degraded and recovering Amazonian and Atlantic Forests’ (ECOFOR), within the NERC Human-Modified Tropical Forest (HTMF) programme. Full details about this dataset can be found at https://doi.org/10.5285/4b05caee-a3c8-46a7-b675-e5a94554bd9f

  • [THIS DATASET HAS BEEN WITHDRAWN]. This dataset contains hourly micro-meteorological data from the experimental plots at the Climoor field site in Clocaenog forest, NE Wales. It runs from 11/9/2008 until 31/12/2013, and contains air temperature, soil temperature at two depths (5cm and 20cm) as well as soil moisture. Climoor is a climate change experiment which investigates the possible impact of increased temperatures and repeated summer drought on an Atlantic upland moorland. The experiment uses automatic roof technology to warm experimental plots by 0.5 - 1 degC and reproduces drought conditions in other experimental plots (July to September annually). In 2014, the Climoor experiment was the second longest running climate change experiment in the UK and data from the experiment has been used in several modelling exercises. The site was originally established under a EU consortium project - called CLIMOOR - where replica manipulation experiments were built in six European countries. As well as our site in North-East Wales (United Kingdom), there are identical sites in Denmark, the Netherlands, Sardinia (Italy) and Hungary. There was also a site in Catalonia (Spain). Full details about this dataset can be found at https://doi.org/10.5285/124ae988-41d3-4555-b704-5acc85633a05

  • [THIS DATASET HAS BEEN WITHDRAWN]. This dataset includes manual measurements of water table depth at the Climoor fieldsite in the Clocaenog Forest, north-east Wales. Water table depth was collected via water permeable tubes installed through the soil profile down to bedrock. Measurements were taken, usually every two weeks, using a tape measure and head torch to assist in seeing the water level in the tube. Data are available from May 2009 to January 2014. Full details about this dataset can be found at https://doi.org/10.5285/5ba28b53-6b20-4e31-9c0f-ba234ddc55ef

  • The data consist of observations of cover of plant species in permanent quadrats in a nitrogen deposition experiment on a peat bog. The experiment was located at Whim Moss in central Scotland, between 2002 and 2016. Recording of cover was by visual assessment in 40 x 40 cm quadrats. The experiment was designed to look at the change in vegetation composition with different rates of deposition of nitrogen in different forms (ammonia, ammonium, and nitrate). 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/10.5285/65ecd65f-e518-4cf5-85bf-7d93e66fdb96

  • [This dataset is embargoed until December 31, 2020]. This dataset contains time series observations of surface-atmosphere exchanges of net ecosystem carbon dioxide exchange (NEE), sensible heat (H) and latent heat (LE), and momentum (τ) measured at a at a Miscanthus x. giganteus Greef et Deu (hereafter Miscanthus) plantation in Lincolnshire, UK. Turbulent flux densities were monitored using the micrometeorological eddy covariance (EC) technique between 4 July 2013 and 25 November 2017. The dataset includes ancillary weather and soil physics observations, as well as variables describing atmospheric turbulence and the quality of the turbulent flux observations. 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/10.5285/71e5b799-fc4d-4a44-8860-a5e358c807fd

  • [THIS DATASET HAS BEEN WITHDRAWN]. This dataset includes all measurements of roots from the Climoor fieldsite in the Clocaenog Forest. The data spans three periods: 2003-2004, 2008 and 2011. In 2003 and 2004, 5cm x 15cm plastic root cores were measured, and roots manually picked out the soil. In 2008, root biomass was determined by sieving and washing. In 2011, root biomass, density and length was also determined using sieving and washing. However, the methods used in each of the periods differs so significantly the data should not be directly compared, only differences between experimental plots should be considered. Full details about this dataset can be found at https://doi.org/10.5285/36eeb185-cdf7-44cc-ab69-4bacde9ca50b

  • Gridded potential evapotranspiration over Great Britain for the years 1961-2017 at 1 km resolution. This dataset contains two potential evapotranspiration variables: daily total potential evapotranspiration (PET; kg m-2) for a well-watered grass and daily total potential evapotranspiration with interception correction (PETI; kg m-2). The data are provided in gridded netCDF files. There is one file for each variable for each month of the data set. This data set supersedes the previous version as bugs in the calculation of the variables have been fixed (for all years), temporal coverage of both variables has been extended to include the years 2016-2017 and the netCDF metadata has been updated and improved. Full details about this dataset can be found at https://doi.org/10.5285/9116e565-2c0a-455b-9c68-558fdd9179ad

  • The dataset contains annual soil greenhouse gas emissions following sheep urine (real and artificial) applications to a semi-improved upland grassland in North Wales, UK, across two seasons (spring and autumn) within the year 2016-2017. Soil greenhouse gas data were collected using a combination of automated chambers and manually sampled chambers, both analysed via gas chromatography. Supporting data include meteorological data, soil chemistry and above ground biomass data collected on a time-series throughout the study, following urine application. The data were used to calculate sheep urine patch nitrous oxide emission factors from an upland environment, to improve estimates of greenhouse gas emissions from extensively grazed agroecosystems. Full details about this dataset can be found at https://doi.org/10.5285/0434c74c-4a8e-45b8-a187-13e422c0ed0f

  • [This application is embargoed until March 31, 2022]. This dataset contains a water resource systems model for the Sutlej-Beas system in western Himalayas. It includes all the files required to run the model for the historical period 1989-2008 and climate change scenarios for the middle (2032-2050) and end of the century (2082-2100) considering the uncertainty associated to different Representative Concentration Pathways and Global Climate Models. The WEAP model was built within the “Sustaining Himalayan Water Resources in a Changing Climate” (SusHi-Wat) project (NE/N015541/1), funded by the UK Natural Environment Research Council and the Indian Ministry of Earth Sciences through the Newton-Bhabha Fund. Full details about this application can be found at https://doi.org/10.5285/715db0b2-1d63-4842-ab80-f0f33b39e5e0