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International Satellite Land Surface Climatology Project Initiative II (ISLSCP2): Multiple Resolution of a 17-year Record of the Fourier-Adjusted, Sensor and Solar Zenith Angle Corrected, Interpolated, Reconstructed (FASIR) Adjusted Normalized Difference Vegetation Index (NDVI) and Derived Biophysical Parameter Fields
The Fourier-Adjusted, Sensor and Solar zenith angle corrected, Interpolated, Reconstructed (FASIR) adjusted Normalized Difference Vegetation Index (NDVI) dataset was detected with the Advanced Very High Resolution Radiometer (AVHRR) on-board the MetOp satellites. Derived biophysical parameter fields were generated to provide a 17-year satellite record of monthly changes in the photosynthetic activity of terrestrial vegetation. The FASIR NDVI data set was produced and provided by Dr. Sietse Los from the Department of Geography, University of Wales at Swansea. The production of the dataset and its associated biophysical parameters was funded by NASA's Land Surface Hydrology program and the Higher Education Funding Council for Wales (HEFCW) as a core component of the International Satellite Land Surface Climatology Project (ISLSCP) Initiative II Data Collection. AVHRR FASIR data is restricted to academic research use only.
The International Satellite Land Surface Climatology Project, Initiative II (ISLSCP II) is a follow on project from The International Satellite Land Surface Climatology Project (ISLSCP). ISLSCP II had the lead role in addressing land-atmosphere interactions - process modelling, data retrieval algorithms, field experiment design and execution, and the development of global data sets. The ISLSCP II dataset contains comprehensive data over the 10 year period from 1986 to 1995, from the International Satellite Land Surface Climatology Project (ISLSCP). This dataset contains: *Albedo *Ecosystem roots *Historic crop land and land cover *Potential vegetation *Continuous vegetation The data are mapped to consistent grids (0.5 x 0.5 degrees for topography, 1 x 1 degrees for meteorological parameters). Some data have a grid size of 0.25 x 0.25 degrees. The temporal resolution for most data sets is monthly (however a few are at finer resolution - 3 hourly). This dataset is public.
Vegetation survey data comprise per-quadrat species level data and abundances, abundance cover classes (following Braun-Blanquet method), family, growth duration, habitat and native species. Data also contain ground cover class and Denisom reading for tree canopy cover. Data were collected from the South Fork McKenzie river, Oregon, USA in June 2021 following the Holiday Farm wildfire in Autumn 2020. Vegetation surveys were conducted in restored and unrestored reaches of the South Fork McKenzie River with a view to quantifying differences in vegetation response to wildfire in the restored vs. unrestored river reaches. The study was conducted by the University of Nottingham, with data collected by partners from The US Forest Service, Portland State University, Washington State University and Colorado State University. Funding for the work was received from the Natural Environment Research Council. Full details about this dataset can be found at https://doi.org/10.5285/251081d0-0388-44fa-b5f9-a4c784f64218
This dataset consists of ammonia (NH3) measurements from a set of ALPHA (Adapted Low-cost Passive High Absorption) sampler sites in the area surrounding Cuilcagh in Ireland and Northern Ireland in 2020. The purpose of these measurements was to observe the impact of local ammonia levels on vegetation. Local site operator duties were completed by Ulster Wildlife Trust and analysis is completed by UK Centre for Ecology and Hydrology Edinburgh. The sites around Cuilcagh were started on 01.2.2020 and measurements are ongoing. Full details about this dataset can be found at https://doi.org/10.5285/21562c80-96dc-4642-bfcf-285846000ceb
This dataset presents plant percentage cover by species, average plant cover and species richness for sites along the foredune area of sites distributed between Cape Canaveral (Florida) and Tybee Island (Georgia), USA. Plant cover by species was sampled on three occasions using 0.5 x 0.5m quadrats distributed along 3 transects at up to 28 sites. Observations were conducted in February 2018, July 2018, and January 2019. The coastline was impacted by Hurricane Irma in October 2017 and the data were collected to look at plant composition in coastal foredunes undergoing recovery from the hurricane. The data were collected as part of NERC grant NE/R016593/1, Resilience of a coastal ecosystem following hurricane Irma. Full details about this dataset can be found at https://doi.org/10.5285/100af68f-78e2-4b9d-86b9-5777a5ef38fa
This dataset is a compilation of results obtained from vegetation surveys in the Stalybride estate moorlands (commonly known as the Saddleworth moors) following a wildfire in 2018. Ten plots were established in October 2018 at the post-fire site which were 10 m x 10 m in size. Five plots were identified as suffering a less severe (shallow) burn. The other 5 plots were in areas where a more severe (deep) burn. In all plots the surface vegetation had been removed by the fire exposing the bare peat. The data file contains: (1) On-site post-fire vegetation data – species ID and coverage, and (2) species presence in the one-year post-fire seed bank. The dataset is the result of research in the light of an NERC Urgency grant entitled 'RECOUP-Moor: Restoring Ecosystem CarbOn Uptake of Post-fire Moorland' (NE/S011943/1, led by Dr. Bjorn Robroek of the University of Southampton (now Radboud University Nijmegen, the Netherlands). Full details about this dataset can be found at https://doi.org/10.5285/56561ed3-55d0-454c-a6b9-7e633ccf9647
This dataset contains netcdf files produced from the output of UK Met Office Unified Model atmosphere-only simulations over West Africa for current vegetation and 1950s vegetation scenarios. The region covered is 20W to 20E, 0N-25N and simulations were run for 5 days from 1st June 2014 conditions using boundary conditions and sea surface temperature from ERA-Interim reanalysis. The files contain ensemble means (from 10 member ensembles) and the results of a paired Student's T-Test between the two scenarios. There are also files for specific longitude bands and some averaged over 16W-16E, 4N-15N for all land, deforested land and unchanged land. The data is mostly hourly and allows analysis of the impact of recent deforestation in this region. The simulations were run by Julia Crook (University of Leeds) on the ARCHER supercomputer. This data was collected as part of the NERC project 'Vegetation Effects on Rainfall in West Africa (VERA)'.
This information product contains gridded estimates of Ellenberg vegetation indicator scores for four different indicators: fertility (N); pH/reactivity (R); light availability (L) and moisture (F) at 1km2 resolution. Both cover-weighted (cwt) and non-cover weighted (site) Ellenberg indicators are estimated. Estimates are made for two different time periods, 1990 and 2015-2019 and the change between the two time periods is also presented. 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/10.5285/0a9900f2-8556-4487-bc13-9c2fdc05082c
Terrestrial habitat, vegetation and soil data from a survey of Shetland, carried out in the summer of 1974 by the Institute of Terrestrial Ecology. Nearly 1000 x 200m2 plots were surveyed from across the islands, selected on the basis of a stratified sampling strategy. Details about plant species, soils, habitat types and major biota present were collected using standardized survey methods. This survey was part of a larger project to assess the status and value of Shetland's plant and animal species and communities. Full details about this dataset can be found at https://doi.org/10.5285/06fc0b8c-cc4a-4ea8-b4be-f8bd7ee25342
The dataset comprises 10 direct measurements in centimetres of plant height taken within a 1metre (m) x 1m quadrat. Also presented are the mean, standard deviation, standard error and coefficient variation values. Sampling was conducted at six salt marsh sites at four spatial scales: 1 m (the minimal sampling unit) nested within a hierarchy of increasing scales of 1-10 m, 10-100 m and 100-1000 m. Three of the sites were in Morecambe Bay, North West England and three of the sites were in Essex, South East England. All samples were taken during the winter and summer of 2013. This data was collected as part of Coastal Biodiversity and Ecosystem Service Sustainability (CBESS): NE/J015644/1. The project was funded with support from the Biodiversity and Ecosystem Service Sustainability (BESS) programme. BESS is a six-year programme (2011-2017) funded by the UK Natural Environment Research Council (NERC) and the Biotechnology and Biological Sciences Research Council (BBSRC) as part of the UK's Living with Environmental Change (LWEC) programme. Full details about this dataset can be found at https://doi.org/10.5285/d8d37579-83f1-4e36-a681-984a086d6b68