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Environmental survey

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  • Data comprise mealworm predation rates measured after 24 hours exposure to invertebrates in mature oil palm (2014), and mature and replanted oil palm (2016-2017) plots as part of a large-scale ecological experiment programme (the Biodiversity and Ecosystem Function in Tropical Agriculture project, established in 2013). Eighteen plots were examined across three estates – plots in Ujung Tanjung and Kandista estates were planted in 1987 to 1992 and are mature or over-mature oil palm, while Libo plots (2016-2017 dataset only) were replanted in 2014. Plots were organised in triplets and in in Ujung Tanjung and Kandista, for each triplet one plot was assigned to each of three vegetation treatments: Reduced vegetation cover, normal vegetation management and enhanced vegetation cover. Freshly-killed mealworms (larvae of darkling beetles, Tenebrionidae sp.) were glued onto oil palm fronds trimmed so that ca. 10 cm of each of six leaflets remained. Exclusion and stratum treatments in factorial combinations were applied: caged and uncaged, canopy and ground. The cage exclusion treatments were designed so that most invertebrates could access the fronds but vertebrates could not. Full details about this dataset can be found at https://doi.org/10.5285/03d36ac4-4cf4-46d9-a608-866ba0aab458

  • Data comprise plot location (latitude, longitude, elevation), taxonomic family and species names and measurements of trees (diameter, height, health). Presence of lianas (vines) and their measurements were also recorded. Funder: NERC - Brazil (CONFAP) Newton Fund: “Dry forest biomes in Brazil: biodiversity and ecosystem services” (NE/N000587/1) Full details about this dataset can be found at https://doi.org/10.5285/aa3babe9-072c-42ce-9ea5-9dbb921a922d

  • Data comprise soil organic carbon content from a simulation using the ECOSSE model; a pool-based carbon and nitrogen turnover model. Simulations were performed using input data from the Sunjia research farm in southeast China (Jianxi province). Data here is from simulations using the global version of the ECOSSE model, a package which applies the regular model spatially. Input data for the simulations were provided by the soil science department of the Chinese Academy of Sciences. Simulations were conducted in 2018. Full details about this dataset can be found at https://doi.org/10.5285/876fa724-c3d3-4091-8de2-8140b7c973eb

  • The datasets contains monthly Leica LS15 precise levelling data which is used to measure monthly peat surface motion from 49 points in 1km2 of upland (RSPB Forsinard Knockfin Heights) and 49 points in a 1km2 of lowland (Plantlife Munsary) blanket peatland within the Flow Country, Caithness and Sutherland. Data was obtained between August 2017 and February 2019 covering the 2018 European Drought Event. Also included are loop closures and measurement standard deviation data. Full details about this dataset can be found at https://doi.org/10.5285/f4f79d46-dac7-4628-a0b3-7427761737a6

  • This dataset consists of stock (area) data for Biodiversity Action Plan (BAP) Broad Habitats across Great Britain in 1978. Data are presented as areas of Broad (or Priority) Habitats within a set of 256 1km squares across Great Britain. 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 habitat areas, vegetation species data, soil 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/10.5285/86c017ba-dc62-46f0-ad13-c862bf31740e

  • This dataset consists of freshwater pond quality data for sites across Great Britain in 2007. Data include macrophyte species records, chemistry and water quality, and environmental variables such as pollution, grazing and management, from ponds surveyed within a set of 591 1km squares across Great Britain (note - not all squares contained ponds). The survey was part of Countryside Survey, a unique study or 'audit' of the natural resources of the UK's countryside, and was carried out by the Centre for Ecology & Hydrology and Pond Conservation. The sample sites are chosen from a stratified random sample, based on a 15 by 15 km grid of GB. 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 freshwater habitat data, habitat areas, vegetation species data, soil data and linear habitat data are also gathered by Countryside Survey. Full details about this dataset can be found at https://doi.org/10.5285/cbb9ee99-8078-4dc4-87de-ee99390e579e

  • This dataset comprises of weekly concentrations of fluoroquinolones in wastewater and receiving waters collected in the Avon river catchment South West UK. The following fluoroquinolones were analysed: (±)-ofloxacin, (±)-ofloxacin-N-oxide, (±)-desmethyl-ofloxacin, (±)-lomefloxacin, (±)-moxifloxacin, S,S-moxifloxacin-N-sulfate, R-(+)-besifloxacin, (±)-prulifloxacin, (±)-ulifloxacin, (±)-flumequine and (±)-nadifloxacin; ciprofloxacin, desethylene-ciprofloxacin, norfloxacin and nalidixic acid. The concentrations of (fluoro)quinolones were measured in receiving treated wastewater from 5 wastewater treatment plants (WWTPs), which serves 1.5 million people accounting for 75% of inhabitants living in the catchment area in the South West of England. NERC Grant NE/N019261/1 Full details about this dataset can be found at https://doi.org/10.5285/f4c79bd3-3ce9-4f4e-ae19-bb4fd2dce7a5

  • This dataset includes measured DOC concentration, and modelled DOC concentration derived from UV-visible absorbance spectra. We also include measured chlorophyll concentration, pH and conductivity. The natural water samples were collected from freshwater ecosystems in the UK, and site names and locations. Samples were also collected at set intervals throughout the year, from mesocosm experiments simulating natural lake ecosystems. Data on measured and modelled DOC concentration, chlorophyll concentration, pH and conductivity for the mesocosms sampled, are also included. Full details about this dataset can be found at https://doi.org/10.5285/6abbc357-1b69-49b4-be28-a77eb7bc6c7f

  • Data were generated to investigate the influence of bed roughness on the dynamics of large sand-bed rivers like the South Saskatchewan, Canada. The influence of roughness was investigated by using a numerical model to simulate the evolution of the river bed for a hypothetical sand-bed river modelled on the South Saskatchewan. The model generated information on the evolving river bed topography, water depth, flow velocities and sediment transport rates, over a period of 28 years as part of NERC project NE/L00738X/1 Full details about this dataset can be found at https://doi.org/10.5285/790e507c-ce99-47ca-99b4-c97a684ee8c6

  • This dataset consists of plant species presence and abundance in different sizes and types of plots from 591 1km x 1km square sites surveyed across Great Britain in 2007. Many of the plots are repeated from surveys in 1978, 1990 and 1998. General information about the plot was recorded including plot number and type as well as species presence and (usually) cover. Data were collected under the Countryside Survey long term monitoring project managed by the Centre for Ecology & Hydrology. Full details about this dataset can be found at https://doi.org/10.5285/57f97915-8ff1-473b-8c77-2564cbd747bc