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Environmental Monitoring Facilities

822 record(s)
 
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From 1 - 10 / 822
  • This service provides a view of Environmental Change Network (ECN) site locations from which data are collected. There are 12 terrestrial sites and 45 freshwater sites. Sites range from upland to lowland, moor land to chalk grassland, small ponds and streams to large rivers and lakes. ECN is the UK's long-term environmental monitoring programme. A wide range of integrated physical, chemical and biological variables which drive and respond to environmental change are collated, quality controlled and made freely available for scientific research. The data form an important evidence base for UK environmental policy development. ECN is a multi-agency programme sponsored by a consortium of fourteen government departments and agencies. These organisations contribute to the programme through funding either site monitoring and/or network co-ordination activities. These organisations are: Agri-Food and Biosciences Institute, Biotechnology and Biological Sciences Research Council, Cyfoeth Naturiol Cymru - Natural Resources Wales, Defence Science & Technology Laboratory, Department for Environment, Food and Rural Affairs, Environment Agency, Forestry Commission, Llywodraeth Cymru - Welsh Government, Natural England, Natural Environment Research Council, Northern Ireland Environment Agency, Scottish Environment Protection Agency, Scottish Government and Scottish Natural Heritage.

  • This dataset provides data on the timing of butterfly flight periods for each UK butterfly species across all monitored sites in the UK Butterfly Monitoring Scheme (UKBMS). Annual data from over 2,500 sites are presented relating to the timing (first appearance, last appearance, date of peak abundance and mean flight date) and the duration (total number of days, standard deviation around the mean flight date) of the flight period for all UK butterfly species from 1976 to 2021. In addition, this data is divided each year for eleven multi-voltine species to provide separate phenology data for distinct flight periods associated with first and subsequent generations. Phenology change is a widely used measure of the biological impacts of climate change because of the close relationship between temperature and the timing of biological events. This dataset provides an invaluable tool for assessing the impacts of climate change both spatially and temporally. The UK Butterfly Monitoring Scheme is organized and funded by Butterfly Conservation (BC), the UK Centre for Ecology & Hydrology (UKCEH), the British Trust for Ornithology (BTO), and the Joint Nature Conservation Committee (JNCC). The UKBMS is indebted to all volunteers who contribute data to the scheme. 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/10.5285/0c59eb20-26e3-4066-86f5-418afae18769

  • This dataset contains energy expenditure, sea surface temperature, foraging activity, day length, longitude, latitude, distance from the coastline and mass data from 17 common guillemots (Uria aalge) from the Isle of May during the 2016-2017 annual cycle. Full details about this dataset can be found at https://doi.org/10.5285/1cc5dcdb-e894-4973-a5b5-7a38a6cfc770

  • This dataset contains information on the occupancy of breeding sites in the non-breeding season, breeding timing and success, and breeding site quality for a sample of common guillemots breeding on the Isle of May, Scotland. Data is available for all attributes for the non-breeding season of 2017/18, 2018/19 and 2019/20. These data are part of the Isle of May long-term study to assess population trends of seabirds under environmental change (IMLOTS). Full details about this dataset can be found at https://doi.org/10.5285/40d28d0b-f93d-4c6c-90ef-97a26a510f81

  • A survey of the extent and species composition of the deciduous woodlands of Scotland (including those with some admixture of conifers) was undertaken between 1976 and 1979, by the Institute of Terrestrial Ecology, funded by the Natural Environment Research Council and the Nature Conservancy Council. A census of deciduous woodlands in Scotland was made (as marked on British Ordnance Survey (OS) maps, 7th Series 1:63,360), between 1976 and 1979. A desk-based map search was undertaken in the first instance, followed by field ground-truthing. Full details about this dataset can be found at https://doi.org/10.5285/7b2eb903-e513-4210-a073-fddb6aa73291

  • This data resource provides plot-level plant occurrence data for the first eight years (2015-2022) of the National Plant Monitoring Scheme (covering the UK, the Channel Islands, and the Isle of Man). Data consist of individual observations of plants, and other habitat characteristics, at the metre-scale; observations are accompanied by percentage cover information recorded according to the Domin frequency-abundance scale commonly used in plant community ecology. Other information provided includes the plot type (size, shape, according to the NPMS classification), the volunteer-recorded NPMS habitat, the date of sampling, and information regarding the spatial location of the plot. Information contained within the metadata file should allow users to reconstruct the sampling history (including gaps) of any plot that has been sampled within the NPMS scheme between 2015 and 2022. 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. Please be aware that this dataset is updated annually and that more recent versions exist. Full details about this dataset can be found at https://doi.org/10.5285/f7ef2dc5-2bce-4436-8f65-90f7a99acff2

  • This dataset contains measurements of ozone (O3) concentrations, and environmental conditions experienced by tropical tree species grown in a series of experiments using Open Top Chambers (OTC’s) conducted between July 2020 and November 2022 This also includes information on final biomass and leaf-level functional traits of experimental plants. The species studied include Brachichyton acerifolius, Carallia brachiate, Calophyllum inophyllum, Chionanthus ramiflorus, Darlingia darlingiana, Flindersia pimenteliana, Homalanthus novo-guineensis, Inga edulis, Syzygium gustavioides, and Theobroma cacao. Environmental variables recorded included air temperature, relative humidity and photosynthetically active radiation, alongside O3 concentrations in each of nine OTC’s. While harvested plants were analysed to determine total dry-biomass and biomass partitioning as well as leaf functional traits such as leaf mass per unit are, antioxidant capacity, total phenolic content and leaf nitrogen content. This dataset also contains the calculated phytotoxic O3 dose (POD) for each species calculated when employing the DO3SE model and parametrized function of stomatal conductance. This data was supported by the NERC project, NE/R001812/1: Ozone impacts on tropical vegetation; implications for forest productivity (Trop-Oz). Full details about this dataset can be found at https://doi.org/10.5285/10b70ce2-29ac-4676-a664-b6054b5ef650

  • The data are activity concentrations of Tc-99 and Se-75 in 61 species of flowering plants after exposure under similar controlled conditions. Species selection was focussed on a hierarchical, taxonomic spread across the herbaceous flora of the British Isles. Individual plants were grown in pots, with supplementary lighting and heating, until they reached the exponential phase of their growth. They were then radiobelled by addition of 109kBq/L Tc-99 and 95kBq/L Se-75. After 48h exposure, aboveground biomass and compost samples were taken and analysed for Tc-99 and Se-75. These data helped refine estimates of Concentration Ratios for use in radioecological modelling and were generated as part of NERC grant number NE/L000342/1. Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/e5122291-b5e2-47de-bf14-db67125f4c14

  • This dataset provides data on the timing of butterfly flight periods for each UK butterfly species across all monitored sites in the UK Butterfly Monitoring Scheme (UKBMS). Annual data from over 2,500 sites are presented relating to the timing (first appearance, last appearance, date of peak abundance and mean flight date) and the duration (total number of days, standard deviation around the mean flight date) of the flight period for all UK butterfly species from 1976 to 2022. In addition, these data are divided each year for eleven multi-voltine species to provide separate phenology data for distinct flight periods associated with first and subsequent generations. Phenology change is a widely used measure of the biological impacts of climate change because of the close relationship between temperature and the timing of biological events. This dataset provides an invaluable tool for assessing the impacts of climate change both spatially and temporally. The UK Butterfly Monitoring Scheme is organized and funded by Butterfly Conservation (BC), the UK Centre for Ecology & Hydrology (UKCEH), the British Trust for Ornithology (BTO), and the Joint Nature Conservation Committee (JNCC). The UKBMS is indebted to all volunteers who contribute data to the scheme. 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/10.5285/31cf8abb-892a-48fc-98e9-62312f51a6fb

  • The data consists of raw data on measured carbon dioxide (CO2) and nitrous oxide concentration (N2O) concentrations from intact soil topsoil (0-15 cm) and subsoil cores (85-100 cm) to added carbon, nitrogen and phosphorus. Four land uses (Bog, acid grassland, improved grassland and arable field) in North Wales were selected for this study with three replicates each. Intact soil cores were taken in January and February in 2014. The data consists of three datasets. The first dataset contains the measured CO2 concentration that was measured from intact topsoil cores (0-15 cm) as a result of carbon, nitrogen and phosphorus additions form a pilot study. For the pilot study intact topsoil cores were taken in November and December in 2013 from three sites. a Podzol, a coniferous forest soil and a grassland soil. These sites were not in the Conwy Catchment. The pilot study results were used to inform the experimental setup for the main experiment. The data from the main experiment, measured carbon dioxide (CO2) and nitrous oxide concentration (N2O), are reported in the second dataset for intact topsoil and subsoil cores. The third dataset contains nitrogen mineralization data from the intact soil cores that were used as control cores and did not receive any carbon or nutrient additions. The dataset contains measurements on soil nitrate, ammonium and total nitrogen mineralization rates in milligrammes of nitrogen per gramme of dry weight or per gramme of organic matter content. In both the experimental datasets, the weight of the soil cores at field capacity (in grammes) was reported and weight loss was adjusted by adding an artificial rain water solution. The incubation time (in minutes), the measured CO2 and N2O concentrations (in part per million = ppm) were recorded at the beginning and the end of the incubation. Total soil dry weight per soil core (in grammes) and the total weight of soil organic matter (loss on ignition, in grammes) are reported. The data were collected to calculate production of Measurements were undertaken by staff from the Centre for Ecology & Hydrology. The data were collected to link plant and soil nutrients to aboveground and belowground ecosystem processes to incorporate relevant parameters into the Joint UK Land Environment Simulator (JULES) model. This data was collected for the NERC project 'The Multi-Scale Response of Water quality, Biodiversity and Carbon Sequestration to Coupled Macronutrient Cycling from Source to Sea' (NE/J011991/1). The project is also referred to as Turf2Surf. Full details about this dataset can be found at https://doi.org/10.5285/0c17a041-8852-4800-9c04-2ab2dd858837