This web map shows positive plant habitat condition indicators across Great Britain (GB). This data provides a metric of plant diversity weighted by the species that you would expect and desire to have in a particular habitat type so indicates habitat condition. In each Countryside Survey 2007 area vegetation plot the number of positive plant habitat indicators (taken from a list created from Common Standards Monitoring Guidance and consultation with the Botanical society of the British Isles (BSBI)) for the habitat type in which the plot is located are counted. This count is then divided by the possible indicators for that habitat type (and multiplied by 100) to get a percentage value. This is extrapolated to 1km squares across GB using a generalised additive mixed model. Co-variables used in the model are Broad Habitat (the dominant broad habitat of the 1km square), air temperature, nitrogen deposition, sulphur deposition, precipitation and whether the plot is located in a Site of Special Scientific Interest (SSSI) (presence or absence data).

This service displays a series of datasets consisting of mean estimate distribution maps of ash trees (Fraxinus excelsior) across Great Britain. It includes ash trees in areas less than half a hectare, ash trees in woody linear features and individual ash trees. The data are derived from Countryside Survey 2007. Trees were mapped in 569 1km sample squares across Britain using a stratified random sampling system based on the ITE Land Classification. Mean national estimates were produced by scaling up from the sample data.

This web map service shows bee nectar plant richness across Great Britain . The source data uses counts of bee nectar plants in Countryside Survey area vegetation plots in 2007 and extrapolates to 1km squares across GB using a generalised additive mixed model. Co-variables used in the model are Broad Habitat (the dominant broad habitat of the 1km square), air temperature, nitrogen deposition, precipitation and altitude. The map has the following layers: plantCount = a modelled estimate of the count of all bee nectar plants within a 1km by 1km square, SEM = a measure of the variance of the plantCount attribute Understanding the distribution of bee nectar plants does provide valuable information on the potential distribution of pollinators and hence pollination.

[This dataset is embargoed until July 1, 2026]. This dataset provides diatom taxon abundance data from 12 rivers in the Cordillera Vilcanota region of the Peruvian Andes. Benthic diatoms were collected from a 9cm2 surface on 5 submerged cobbles at each river site. Diatoms were identified and abundances determined using microscopy methods in the laboratory, then averaged across the 5 replicates for each site. Data were collected from 11/09/2019 to 18/09/2019. Full details about this dataset can be found at https://doi.org/10.5285/1ef65c7e-08d6-4148-b751-ae106346e091

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 the present year. 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 Centre for Ecology & Hydrology (CEH), 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/10.5285/4bc7bb9f-4a7a-46ff-aa63-2747e248fd1e

[This dataset is embargoed until July 1, 2026]. This dataset provides diatom taxon abundance data from 11 rivers in the Cordillera Blanca region of the Peruvian Andes. Benthic diatoms were collected from a 9cm2 surface on 5 submerged cobbles at each river site. Diatoms were identified and abundances determined using microscopy methods in the laboratory from each replicate, then averaged across the 5 replicates for each site. Data were collected from 7/05/2020 to 16/05/2020. Full details about this dataset can be found at https://doi.org/10.5285/6f8b326e-d1f0-413e-b8ac-472b83c7de5e

This dataset gives axiophyte score for plants in Great Britain, based on Botanical Society of Britain and Ireland (BSBI) published lists of axiophytes for 24 counties in Great Britain. Axiophytes have been defined as 'worthy plants', that is, species that are indicative of high quality habitat within a particular region. This information product takes the county lists that were available in May 2016, and summarises the data in order to produce national (i.e. Great Britain) level scores of 'axiophyte-ness'; that is, the extent to which a species has been selected as a good indicator of high quality habitat where it occurs. This meta-list of axiophytes will be updated in the future as more county-level lists become available. 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/af2ac4af-12c6-4152-8ed7-e886ed19622b

Collated indices are a relative measure of butterfly abundance across sites monitored as part of the UK Butterfly Monitoring Scheme. Data from all survey sites (standard UKBMS transects, Wider Countryside Survey transects and targeted species surveys such as timed, larval web and egg counts) are used in the calculation of these indices. The statistics are presented as log10 values. These values are centred round an arbitrary value of 2 as a mean for the time series in order to help show which years are below or above average. Collated indices are calculated annually for each individual butterfly species that has been recorded on five or more sites in that year. Indices are calculated at UK level and at individual country level for England, Scotland, Wales and Northern Ireland where sufficient data are available. Based on this criterion, collated indices have been calculated for the entire time series from 1976 (UK, England and Wales), 1979 (Scotland) and 2004 (Northern Ireland) to the current year for the majority of species, but for some rarer species this has not been possible in some years, particular those in the first part of the time series. Collated indices are calculated using a log-linear model incorporating individual site indices from all monitored sites across the UK or country for a given species in a given year. The number of sites for each species ranges from 5 to several hundred or more and fluctuates from year to year. By 2010 almost 2,000 sites were monitored in total across the UK, with this number rising to more than 3,000 over the next decade. Collated indices are calculated so that we can determine how butterfly populations are changing over time across the UK. This data can be used, for example, to determine where to target conservation efforts and more generally the condition of the UK countryside. Butterflies are recognised as important indicators of biodiversity and environmental change, for example in UK and country Biodiversity Indicators, and have been used in numerous studies of the impacts of climate and habitat change on biodiversity. The UK Butterfly Monitoring Scheme is organized and funded by Butterfly Conservation (BC), the Centre for Ecology & Hydrology (CEH), 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/10.5285/657a64b2-8c34-43d2-a0f0-662ddf73c720

Data on genetic variation in Acacia senegal across its natural range, based on two chloroplast marker types - RFLP (restriction fragment length polymorphism) and microsatellites. Full details about this dataset can be found at https://doi.org/10.5285/de1f9a43-dd0d-428c-af7b-2dfdfc8c127a

This is a database of all known birds, bryophytes, fungi, invertebrates, lichens and mammals that use Scots Pine (Pinus sylvestris) in the UK. Scots pine is the UK’s only native conifer that is used commercially and is the most common tree in the UK’s native Caledonian pine woods. In total 1589 species are listed in the database. For each species a level of association with Scots pine is provided, ranging from obligate (only found on Scots pine) to cosmopolitan (found on a wide range of other tree species). Data on the ecology of each Scots pine associated species were collated: part of tree used, and use made of tree (feeding, roosting, breeding). Data on use or otherwise of 34 other tree species were also collated for each of the 1589 species. Full details about this dataset can be found at https://doi.org/10.5285/97f8c19b-7451-4809-b011-0f9cf3eb8430