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2012

648 record(s)
 
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  • The data consists of a matrix of 12 land cover classes by 20 stream sites with the area of each land cover class given in km2. The areal coverage (km2) of each of 12 land cover classes was recorded for each of 20 chalkstream catchments in southern England. The 20 discrete chalkstream catchments are distributed along the white chalk geology extending from Dorset in the south west, through Wiltshire, to Hampshire in the north east, to cover a gradient of catchment land cover intensification from extensive calcareous grassland and woodland through to arable and improved grasslands. These data were acquired in July 2012. This dataset was created as part of work package 3.1 of the Wessex Biodiversity & Ecosystem Service Sustainability (BESS) project. Full details about this dataset can be found at https://doi.org/10.5285/b8a66584-da67-49e5-a0b0-d8e0b3e75b99

  • Future Flows Climate (FF-HadRM3-PPE) is an 11-member ensemble climate projection for Great Britain at a 1-km resolution spanning from 1950 to 2098. It was specifically developed for hydrological application and contain daily time series of Available Precipitation, which is the precipiated water available to hydrological processes after delays due to snow and ice storage are accounted for; and monthly reference Potential Evapotranspiration calculated using the FAO56 method. Future Flows Climate is derived from the Hadley Centre's Regional climate projection ensemble HadRM3-PPE based on 11 different variants of the regional climate model run under the SRES A1B emission scenario. HadRM3-PPE is underpinning the UKCP09 products. Bias correction and spatial downscaling were applied to the total precpitation and air temperature variables before Future Flows Climate APr and PE were generated. The development of Future Flows Climate was made during the partnership project 'Future Flows and Groundwater Levels' funded by the Environment Agency for England and Wales, Defra, UK Water Research Industry, NERC (Centre for Ecology & Hydrology and British Geological Survey) and Wallingford HydroSolutions. Full details about this dataset can be found at https://doi.org/10.5285/bad1514f-119e-44a4-8e1e-442735bb9797

  • This dataset includes individual passive detector measurements of radon Rn-222 in the air of artificial burrows, Rn-222 measurements by instrumentation in soil gas of interstitial soil pores and burrow air, gamma analyses results for soil samples and, soil moisture and temperature data. Estimates of absorbed dose rates to wildlife from exposure to natural background radionuclides are required to put estimates of dose rates arising from regulated releases of radioactivity and proposed benchmarks into context. These data are from a study conducted at seven sites in northwest England (comprising broadleaved and coniferous woodlands, scrubland and pastures). Passive track etch detectors were used to measure the Rn-222 concentrations in artificial burrows over a period of approximately one year (July 2009 to June 2010). Instrumented measurements of burrow air and soil pore gas were also conducted in October 2009. The data result from a study funded by NERC-CEH and the England & Wales Environment Agency. Full details about this dataset can be found at https://doi.org/10.5285/2641515F-5B76-445C-A936-1DA51BF365AD

  • This data consist of measurements on soil microbial enzyme activity of six hydrolytic enzymes and related soil measurements from the experimental field sites at Clocaenog forest and Peaknaze. Samples were collected in 2012 from plots subjected to experimental drought and warming as well as untreated control plots. Soil cores were taken for the topsoil 0 to10 centimetres. Enzymes were measured at the climate change field site Climoor that is located in Clocaenog forest, North East Wales and the Peaknaze field site located in the Peak District. The experimental field sites each consist 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). Six hydrolytic soil microbial enzymes and one oxidase were extracted from the topsoil to test the effect of these enzymes that are involved in carbon, nitrogen and phosphorus cycling, under the imposed long-term climate change treatments. The hydrolytic enzymes were assayed using 4-methylumbelliferone (MUF) or 7-amino-4-methyl coumarin (AMC) linked-substrates, whereas the oxidase was extracted in pure water. All enzyme extracts were measured colorimetrically. The Clocaenog and Peaknaze field experiments intend to answer questions regarding the effects of warming and drought on ecosystem processes. Plot level microbial related measurements are important to investigate ecosystem carbon dynamics and changes in the soil carbon under the imposed climatic treatments. Measurements were undertaken by trained members of staff at the UK Centre for Ecology & Hydrology. Full details about this dataset can be found at https://doi.org/10.5285/9bfa5e3b-dbf0-46fc-a5c4-7970b0d850a8

  • The data consist of species level descriptions of macroinvertebrate communities from the Conwy catchment in Wales, UK, sampled over three years between 2008 and 2010. The water bodies studied are tributary streams of the river Conwy, Wales, UK. Sampling took place in November of each year. Macroinvertebrates were sampled using a 1 mm kick net following the RIVPACS (River Invertebrate Prediction and Classification System) field protocol. Site variables (depth, width, velocity, substrate cover, macrophyte cover) were also recorded and are supplied as supporting information. Full details about this dataset can be found at https://doi.org/10.5285/fbbf2775-2f4d-478b-b59e-38aeaafaf67c

  • Future Flows Hydrology (FF-HydMod-PPE) is an 11-member ensemble projections of river flow and groundwater levels time series for 283 catchments and 24 boreholes in Great Britain. It is derived from Future Flows Climate, an 11-member 1-km bias-corrected and downscaled climate projection products based on the SRES A1B emission scenario. River Flows data are at a daily time step: Groundwater Levels data are at a monthly time step. Future Flows Hydrology span from 1951 to 2098. The development of Future Flows Hydrology was made during the partnership project 'Future Flows and Groundwater Levels' funded by the Environment Agency for England and Wales, Defra, UK Water Research Industry, NERC (Centre for Ecology & Hydrology and British Geological Survey) and Wallingford HydroSolutions. Full details about this dataset can be found at https://doi.org/10.5285/f3723162-4fed-4d9d-92c6-dd17412fa37b

  • The spectacular botanical preservation and long occupation of Qasr Ibrim, Egypt make this site archaeobotanically matchless. 600 samples have been collected over 20 years covering a timespan of c. 1000 BC - AD 1800. The project has particularly focussed on the period AD 100-400 during which several new summer crops including sorghum, cotton, lablab and sesame first appear. These new crops are thought to be associated with the introduction of new irrigation technology, specifically a device known as the saqia, an ox-driven water wheel from which descends a conveyor belt to which pots are attached. It has never before been possible to examine this crucial change archaeologically and this project has allowed the investigation of when and how this great change happened. This has major implications for the history of agriculture in Africa and the Indian Ocean.

  • The data consist of woody biomass maps of three study areas - Mabalane, Gurue, and Maruppa in Mozambique. Each area map comprises three Geotiff layers stacked in the order band 1= 2007, band 2 = 2010, band 3 = 2014. Each pixel is an aboveground woody biomass in tonnes of carbon per hectare (ha). For the biomass maps -18.00000 means no data. Due to noise, it is possible to have negative biomass estimates. Individual layers can extracted for year specific analyses. Data were collected as part of the Abrupt Changes in Ecosystem Services and Wellbeing in Mozambican Woodlands (ACES) project under the ESPA programme Full details about this dataset can be found at https://doi.org/10.5285/6a8b07f9-552e-408c-8351-595ee6a7fc5f

  • The data consist of species level descriptions of macroinvertebrate communities from two abstracted streams in the Lowther catchment, UK, upstream and downstream of abstraction points. Supporting habitat and geographical data are included. Full details about this dataset can be found at https://doi.org/10.5285/df65085c-d376-413e-9fbc-984f7b332878

  • [THIS APPLICATION HAS BEEN WITHDRAWN]. MultiMOVE is an R package that contains fitted niche models for almost 1500 plant species in Great Britain. This package allows the user to access these models, which have been fitted using multiple statistical techniques, to make predictions of species occurrence from specified environmental data. It also allows plotting of relationships between species' occurrence and individual covariates so the user can see what effect each environmental variable has on the specific species in question. The package is built under R 2.10.1 and depends on R packages 'leaps', 'earth', 'fields' and 'mgcv'. Full details about this application can be found at https://doi.org/10.5285/c4d0393e-ff0a-47da-84e0-09ca9182e6cb