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 dataset models bee nectar plant richness across Great Britain (GB). It uses counts of bee nectar plants (using a list agreed with experts) 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. This data provides a metric of the Natural Capital associated with pollination, although to measure the service itself you would require additional datasets. Understanding the distribution of bee nectar plants does provide valuable information on the potential distribution of pollinators and hence pollination. Full details about this dataset can be found at https://doi.org/10.5285/623a38dd-66e8-42e2-b49f-65a15d63beb5

Data comprise monitoring records of a population of Gryllus campestris, a flightless, univoltine field cricket that lives in and around burrows excavated among the grass in a meadow in Asturias (North Spain). The area has an altitude range from around 60 to 270 metres above sea level. Data include basic traits, behavioural data, genotypes and pheromones. Data were collected from 2006 to 2016. Full details about this dataset can be found at https://doi.org/10.5285/42d9fc5d-f30e-46a9-9d09-50272f4538cb

This dataset provides linear trends, over varying time periods, for the UK Butterfly Monitoring Scheme (UKBMS) collated Indices of individual butterfly species across the UK. The main statistical values derived from a linear regression (slope, standard error, P-value) are presented for the entire time series for each species (1976 to 2018), for the last 20 years, and for the last decade. In addition a trend class, based on slope direction and its significance, and a percentage change for that time period are provided to describe the statistical trends. These trend data are provided for 59 UK butterfly species. Trends across different time series allow us to determine the long and short-term trends for individual species. This enables us to focus conservation and research and also to assess species responses to conservation already in place. 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/ee4b440e-2604-40b9-bca7-19d6392bd9ea

This dataset provides linear trends, over varying time periods, for the UK Butterfly Monitoring Scheme (UKBMS) Collated Indices of individual butterfly species across the UK. The main statistical values derived from a linear regression (slope, standard error, P-value) are presented for the entire time series for each species (1976 to 2013), for the last 20 years, and for the last decade. In addition a trend class, based on slope direction and its significance, and a percentage change for that time period are provided to describe the statistical trends. These trend data are provided for 59 UK butterfly species. Trends across different time series allow us to determine the long and short-term trends for individual species. This is enables us to focus conservation and research and also to assess species responses to conservation already in place. The Centre for Ecology & Hydrology (CEH) and Butterfly Conservation (BC) are responsible for the calculation and interpretation of this trend datasets. The collection of the underlying UKBMS data is reliant on a large volunteer community. The UK Butterfly Monitoring Scheme is funded by a consortium of organisations led by the Joint Nature Conservation Committee (JNCC). This dataset is updated annually and a more recent version of the UKBMS species trends (2014) is now available. Full details about this dataset can be found at https://doi.org/10.5285/15b65cf5-d54a-43ff-9cd9-7483bea36ab3

[This dataset is embargoed until December 14, 2025]. This data resource contains counts of bumblebee abundance between December 2019 and March 2020 along a latitudinal gradient within Argentina and Chile. Sampling of both invasive (Bombus terrestris and B. ruderatus) and native (B. dahlbomii) bumblebee species was undertaken using standardised transect walks along a latitudinal gradient from -54.871 to -29.906 from 145 individual locations. Full details about this dataset can be found at https://doi.org/10.5285/1797a623-e582-4c0c-bc67-cd9de04e0df0

This dataset provides linear trends, over varying time periods, for the UK Butterfly Monitoring Scheme (UKBMS) Collated Indices of individual butterfly species across the UK. The main statistical values derived from a linear regression (slope, standard error, P-value) are presented for the entire time series for each species (1976 to 2016), for the last 20 years, and for the last decade. In addition a trend class, based on slope direction and its significance, and a percentage change for that time period are provided to describe the statistical trends. These trend data are provided for 59 UK butterfly species. Trends across different time series allow us to determine the long and short-term trends for individual species. This enables us to focus conservation and research and also to assess species responses to conservation already in place. The Centre for Ecology & Hydrology (CEH) and Butterfly Conservation (BC) are responsible for the calculation and interpretation of the trend datasets. The collection of the underlying UKBMS data is reliant on a large volunteer community. The UK Butterfly Monitoring Scheme is funded by a consortium of organisations led by the Joint Nature Conservation Committee (JNCC). Full details about this dataset can be found at https://doi.org/10.5285/5c5bbee4-fe39-40b2-a58b-16e05f994a74

This dataset contains information on the trap-setting operations and the number and species of animals captured during systematic sampling surveys in natural habitats of Czechia, Germany, Italy and Poland in 2019-2023. The trapping data include dates of setting, checking and removal at multiple locations. Trapping at each location typically involved 3-5 nights per trap line, but this could vary. The trap lines typically comprised 12 pairs of traps each set 10 metres apart along a transect line, with geographical coordinates for the centre of a pair of traps along the trap line. Animals were primarily captured for tissue collection for genetic analysis (not included in this dataset) to investigate the effectiveness of habitat corridors for promoting movement. Full details about this dataset can be found at https://doi.org/10.5285/97528815-bd0b-484d-8e68-a1184828631d

This dataset contains data from the National Plant Monitoring Scheme in 2015. These consist of plant species occurrences, with abundance values, in plots. Plots are nested with 1 km squares, and are georeferenced according to the British/Irish/Channel Islands grid systems, or in latitude/longitude format; the 1 km squares surveyed were selected according to a weighted-random design, designed to enrich the sample for semi-natural habitats. Plots also have associated habitat and spatial information, as well as a small number of other environmental data. The species recorded in any particular plot are dependent on the habitat chosen for the plot by the surveyor, and the level of the scheme at which they were participating. Please see the references in the supporting documentation (survey guidance) for more information. 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/10.5285/33fe87f9-d45a-41ba-acca-ee8585ea6b7d

The dataset contains monitoring data for plants (surveyed using quadrats), sward insects (surveyed using suction samplers), insect pollinators (surveyed using transects) and sward structure (surveyed using drop disk height) across 60 calcareous grassland restoration sites from southern England and a further six wildcard sites made up of ancient grasslands and rewilding sites in 2021. Information on site management during the sampling year are also included as well as the historic age of the restoration site. Data were collected with the goal of understanding changes in the complexity of plant and invertebrate communities during grasslands restoration with a focus on the effects of duration of restoration. Full details about this dataset can be found at https://doi.org/10.5285/552977d4-b9aa-4932-a055-5ea3bdf16d56