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Habitats and Biotopes

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  • This web map service provides a 1km resolution gridded coverage of wooded areas in riparian zones (river- or streamsides) across Great Britain. The areas classified as riparian in this dataset are defined by a 50 metre buffer applied to the CEH 1:50000 watercourse network. Wooded areas within this zone are identified as those classified by the Land Cover Map of Great Britain 2007 as either coniferous or deciduous woodland. The data are aggregated to a 1km resolution.

  • This web map service shows the suitability of climate conditions for infection of Phytophthora ramorum and Phytophthora kernoviae across the UK. Suitability is mapped for individual years 2007 to 2011; the average and standard deviations for the whole period are also provided. The model is based on laboratory data of environmental responses of these pathogens and hourly temperature and relative humidity regimes in the period, and describes how many times infection could have been completed within running 48 hour periods through the year. This research was funded by the Scottish Government under research contract CR/2008/55, 'Study of the epidemiology of Phytophthora ramorum and Phytophthora kernoviae in managed gardens and heathlands in Scotland' and involved collaborators from St Andrews University, Science and Advice for Scottish Agriculture (SASA), Scottish Natural Heritage (SNH), Forestry Commission, the Food and Environment Research Agency (FERA) and the Centre for Ecology & Hydrology (CEH).

  • This dataset consists of stock (length) data for linear features across Great Britain in 2007. The data are national estimates generated by analysing the sample data from 591 1km squares surveyed for the Countryside Survey long term monitoring project, then scaling up to a national level. The data are presented as mean lengths for 7 different feature categories within 45 different Land Class categories, based on the ITE Land Classification. The Countryside Survey is a unique study or 'audit' of the natural resources of the UK's countryside, carried out by the Centre for Ecology & Hydrology. 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 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 linear features, habitat areas, species plot, soil plot, freshwater habitat and satellite map data are also produced by Countryside Survey. Full details about this dataset can be found at https://doi.org/10.5285/e687330b-a0f7-45a1-b58c-398e67da3028

  • The dataset comprises of percentage plant cover by species observed by eye in a 1metre (m) x 1m quadrat. Measurements were recorded at six salt marsh sites at four spatial scales: 1 metre (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. Plant cover was measured during the winter and summer of 2013 for all six sites. 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/10.5285/90bdf4ff-03d9-4aa4-bcad-5139863ab188

  • Phenotypes (growth and phenology) for Scots pine trees in a long-term common garden trial planted in three sites in Scotland, surveyed annually from 2013 to 2020. Full details about this dataset can be found at https://doi.org/10.5285/1c9367fb-ea87-47a1-8257-d9fed54215e7

  • The dataset comprises the bulk density taken from bulk density rings (3.1 centimetre (cm) height, 7.5 cm diameter) within each 1metre (m) x 1m quadrat. Samples were taken vertically at three depths within each quadrat to roughly quantify the following zones: 0 -10 cm, 10 - 20 cm and 20 - 30 cm. 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. The Morecambe Bay samples were taken during the winter and summer of 2013. The Essex samples were taken during the winter, early spring 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/10.5285/814be4cf-0ff2-46dd-b296-c4d9b913b6e4

  • The dataset contains: (i) estimates of zinc tolerance for 50 populations of Silene uniflora in the UK and Ireland generated between 03/2021 and 09/2021. The data were collected using cuttings from wild collected specimens. Root growth of cuttings in zinc rich media was assessed using deep water culture experiments. The data set contains the zinc tolerance (mean and standard deviations of root growth scores) and the number of cuttings assessed for each population; (ii) GPS positions describing the locations of 56 populations of Silene uniflora in the UK and Ireland which were observed between 2018 and 2021. Basic habitat type (montane, serpentine, mine, coastal) information is also included. The work was supported by the Natural Environment Research Council NE/R001081/1. Full details about this dataset can be found at https://doi.org/10.5285/af4735e3-b5ba-4e0b-8a41-503eeff89a82

  • The dataset comprises the field soil organic matter content as a percentage at three depth zones (roughly 0-10 cm, 10-20 cm and 20-30 cm), measured from bulk density soil samples taken within each 1metre x 1metre quadrat. Prior to measurement of bulk density all soil samples were dried at 105°C for 72 hours. A sub-sample was then taken and dried at 375°C for 16 hours to determine the percentage organic matter of dry soil. Sampling was conducted at six salt marsh sites at four spatial scales: 1 metre (the minimal sampling unit) nested within a hierarchy of increasing scales of 1-10 metres, 10-100 metres and 100-1000 metres. Three of the sites were in Morecambe Bay, North West England and three of the sites were in Essex, South East England. The Morecambe Bay samples were taken during the winter and summer of 2013. The Essex samples were taken during the winter, early spring 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/10.5285/90457ba1-f291-4158-82dc-425d7cbb1ac5

  • The Pantheon database contains habitat-related traits, feeding guilds, conservation status (including rarity and threat status), legal protection data and associations with other taxa for just over 11,700 invertebrates. The database has been developed for invertebrates within England so the data should be used with caution when applying it to invertebrates of other countries. The data have been extracted from numerous sources within the published literature and compiled and categorised by entomological experts over a number of years. The database also includes (and supersedes) species assemblage types (SATs) from the Invertebrate Species-habitat Information System (ISIS). Species names have been linked with the Taxon Version Key (TVK; unique identifier) from the UK Species Inventory, held by the Natural History Museum, where possible. Overall the database holds 154,072 records. The database was developed by Natural England and the Centre for Ecology & Hydrology as part of a development of online analytical tools to benefit invertebrate conservation and site assessments. Full details about this dataset can be found at https://doi.org/10.5285/2a353d2d-c1b9-4bf7-8702-9e78910844bc

  • The dataset comprises the pH of a 10 gram soil sample from the top 5 centimetre of soil taken within each 1 metre (m) x 1m quadrat. 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. The Morecambe Bay samples were taken during the winter and summer of 2013. The Essex samples were taken during the winter, early spring 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/c726249f-c2d8-4aeb-9af2-60a40de40be2