nonCciKeyword

Climate and climate change

70 record(s)

 

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From 1 - 10 / 70
  • [This dataset is embargoed until November 1, 2020]. 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

  • 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 dataset provides daily estimates of the Snow Water Equivalent (SWE) using data from 46 COSMOS-UK sites across the United Kingdom. One set of estimates is derived from the cosmic ray neutron sensor and provides an estimate of the average SWE within the sensor’s large (>100m) footprint. Other SWE estimates are based on either a snowmelt model, or, for certain sites, either a snow depth sensor or a buried “SnowFox” neutron sensor. Additionally, daily neutron counts, the albedo, and a collection of figures for each snow event are provided. Full details about this dataset can be found at https://doi.org/10.5285/e1fa6897-0f09-4472-adab-5d0d7bbc2548

  • This dataset represents the hydro-meteorological monitoring activities undertaken in Ouagadougou, Burkina Faso, during 2016-2018, as part of the DFID funded AMMA-2050 (African Monsoon Multidisciplinary Analysis) project (amma2050.org). The data comprises time series of rainfall, water level and river flow recorded at locations across Ouagadougou city for the purposes of building an understanding of hydrological function and hydrological model development. In-situ data were collected using tipping bucket raingauges and pressure level sensors, with spot gauging of river flows used to develop rating curves used to derive flow from level measurements in channels. The network was designed and set-up by the UK Centre for Ecology and Hydrology (UKCEH) and maintained by the Burkina Faso Institut International d’Ingenierie de l’Eau et de l’Environment (2iE) and processing was undertaken by UKCEH. Full details about this dataset can be found at https://doi.org/10.5285/30ae0230-e352-4a82-901d-ac1d42449044

  • [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

  • This dataset includes rainfall data from a ground level rain gauge as well as from basic storage rain gauges within the experimental plots in the Climoor field site in the Clocaenog Forest. Data includes volume of rainfall at both site and plot level, and rainfall chemistry (site level) from 1999-2012. Determinands include: Sodium (Na), Potassium (K), Calcium (Ca), Magnesium (Mg), Aluminium (Al), PO4-P, Chlorine (Cl), Phosphorus (P), Nitogen (N), Ammonium Nitrogen (NH4-N), Nitrate Nitrogen (NO3-N), Sulphate (SO4), dissolved organic Carbon (DOC) and pH for 1999-2002; and NH4-N, NO3-N, SO4, DOC and pH for 2002-2012. Full details about this dataset can be found at https://doi.org/10.5285/7b0da62f-14fc-4636-abb0-4dd9a668a6eb

  • [THIS DATASET HAS BEEN WITHDRAWN]. This dataset includes litterfall data from the experimental plots at the Climoor field site in the Clocaenog forest, NE Wales. Litterfall (natural senesced plant material) was collected in litterfall traps (12 x 7.5cm pots standing slightly proud of the soil/litter surface, emptied monthly). Litterfall was calculated by drying the contents of the traps and weighing the samples; values were calculated for each quadrat (total weight (g) only) and for each plot (total weight (g) and weight per metre squared (g/m2)). Data spans the periods Oct 1999 to Jan 2004 and July 2008 to June 2011. Full details about this dataset can be found at https://doi.org/10.5285/dd4dfc72-dafe-44a2-af2b-0118d949d7ad

  • [This dataset is embargoed until December 1, 2021]. This dataset contains terrestrial fluxes of nitrous oxide (N2O), methane (CH4) and ecosystem respiration (carbon dioxide (CO2)) calculated from static chamber measurements in mature oil palm plantations on mineral soil, managed by Sinar Mas Agro Resources and Technology Research Institute (SMARTRI) and located on the Ujung Tanjung Estate in Riau, Sumatra, Indonesia. Measurements were made monthly, from October 2018 until September 2019. A total of 54 static chambers were installed across nine plots, representing three different understory vegetation treatments: normal complexity (an intermediate-level of understory spraying with herbicide); reduced complexity (spraying of all understory vegetation with herbicides); and enhanced complexity (no herbicide spraying and limited understory cutting). Six chambers were installed in each of the nine plots, resulting in 18 replicates of each treatment. In addition, soil moisture measurements were also taken around each chamber. The dataset was associated with a foreign research permit, issued by Foreign Research Permit Division Ministry of Research and Technology/National Research and Innovation Agency, Indonesia. As the project spanned two years it was covered by two permits, RISTEK permit number: 323/SIP/FRP/E5/Dit.KI/X/2018 and RISTEK permit number: 8B/TKPIPA/E5/Dit.KI/VIII/2019. Full details about this dataset can be found at https://doi.org/10.5285/378f028d-ab04-4fa5-a5ca-61f78ea0adb0

  • [THIS DATASET HAS BEEN WITHDRAWN]. This dataset includes data on the degree of herbivory and infection of the fungal pathogen, Valdensia heterodoxa, on the deciduous shrub Vaccinium myrtillus in the experiment plots at the Climoor field site in the Clocaenog Forest, NE Wales. Herbivory was measured in the summer of 2000, 2005 (control and drought plots only) and 2006. Fungal infection was measured in 2000, 2005 (control and drought plots only) 2006, 2007, 2008 and 2009. Measurements were taken at the same time as annual vegetative growth and flowering assessment at a time of maximal growth (late August- early September). Full details about this dataset can be found at https://doi.org/10.5285/4eb85182-6b40-47e9-bff6-4711750272c7

  • [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