The dataset contains abundance trends for 432 species of moths (mostly macro-moths) estimated using the data collected by Rothamsted Insect Survey (RIS) from their light-trap network between the years 1968 and 2016. The trends were calculated using a Generalized Abundance Index (GAI) model. The trends are presented as year coefficients from the statistical model, Annual Growth Rates (AGR), and the total percentage changes over the time series for each species. For each trend metric 95% and 90% confidence intervals are provided. Two versions of the trends are presented: one using data from all traps in the Britain & Ireland over the period of 1968-2016 and a second dataset restricted to traps in Great Britain over the period of 1970-2016. Data acquisition was partially funded by the Natural Environment Research Council (NERC) under research programme NE/N018125/1 Achieving Sustainable Agricultural Systems (ASSIST). ASSIST is an initiative jointly supported by NERC and the Biotechnology and Biological Sciences Research Council (BBSRC). The Rothamsted Insect Survey is funded by the BBSRC under the Core Capability Grant BBS/E/C/000J0200. The research builds upon model development supported by NERC 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/10.5285/0a7d65e8-8bc8-46e5-ab72-ee64ed851583

This product consists of maps of predicted average annual application rates of three different inorganic chemical fertilisers – nitrogen (N), phosphorus (P) and potassium (K) - in England across a six-year period (2010-2015). The estimates, along with their respective estimates of uncertainty, are provided at a 1 km x 1 km resolution. These data were modelled from Defra British Survey of Fertiliser Practice (BSFP) data using a spatial interpolation procedure. Different uses and potential applications of the produced maps, including the following: 1) Modelling nutrient fate to predict impacts of changes in farming practices (intensification/extensification) on nutrient runoff to water; 2) Estimating greenhouse gases (GHG) emissions due to fertiliser application to crops and grassland (linked with air quality impacts); 3) Quantifying past and future impacts of eutrophication and/or agricultural management on agricultural ecosystems and indicators such as arable plants, farmland birds, pollinators; 4) Linking crop growth models to predict areas where better nutrient management may improve yields; 5) Improving policies aimed at mitigating negative impacts of fertiliser use (e.g. catchment sensitive farming to reduce pollution and/or improve water quality). This data product was funded by the Natural Environment Research Council (NERC) under research programme NE/N018125/1 Achieving Sustainable Agricultural Systems (ASSIST). ASSIST is an initiative jointly supported by NERC and the Biotechnology and Biological Sciences Research Council (BBSRC). Full details about this dataset can be found at https://doi.org/10.5285/15f415db-e87b-4ab5-a2fb-37a78e7bf051

The dataset describes the functional effects traits derived for 57 taxonomic units (species, genus and family level classifications) of oilseed rape insect pollinators. This data provides information on both morphological and behavioural traits, typically at the species level, but also at a generic and functional group level. Data acquisition was funded by the Natural Environment Research Council (NERC) under research programme NE/N018125/1 Achieving Sustainable Agricultural Systems (ASSIST). ASSIST is an initiative jointly supported by NERC and the Biotechnology and Biological Sciences Research Council (BBSRC). Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/f09a0ada-b5c6-4dd9-9c7b-2fed23ab79b1

[THIS DATASET HAS BEEN WITHDRAWN]. This data product maps pesticide applications across England and Wales. It is produced at a 1km resolution with units of kg active ingredient applied per year. Pesticide application rates (kg/km2/yr) are calculated for each of the crops grown in each 1km square, with the total application calculated by multiplying the estimated rates by the area of each crop in the square. The product provides application estimates for 129 different active ingredients including herbicides, insecticides, molluscicides and fungicides. Uncertainty maps are produced alongside each active ingredient map to quantify the level of confidence in the estimated applications. Uncertainty is quantified using the distribution of each parameter estimate obtained from the modelling method and is expressed relative to the total application. The product is a snapshot of average applications between 2012 and 2016. The product builds upon the Centre for Ecology & Hydrology (CEH) Land Cover® Plus: Crops product. An average of CEH Land Cover® Plus: Crops 2015, 2016 and 2017 is used to reflect average crop coverage at the 1km resolution. Temporal variation in pesticide application is not modelled explicitly but is reflected in the uncertainty maps. This data product was funded by the Natural Environment Research Council (NERC) under research programme NE/N018125/1 Achieving Sustainable Agricultural Systems (ASSIST). ASSIST is an initiative jointly supported by NERC and the Biotechnology and Biological Sciences Research Council (BBSRC). Full details about this dataset can be found at https://doi.org/10.5285/a72f8ce8-561f-4f3a-8866-5da620c0c9fe

CEH Land Cover plus: Pesticides maps annual average pesticide applications across England, Wales and Scotland. The product provides application estimates for 162 different active ingredients including herbicides, insecticides, molluscicides and fungicides. It is produced at a 1km resolution with units of kg active ingredient applied per year, averaged between 2012 and 2017. Pesticide application rates (kg/km2/yr) are calculated for each of the crops grown in each 1km square, using information from CEH Land Cover® Plus: Crops 2015, 2016 and 2017 to determine where each crop is grown. Pesticide application data is provided by the Pesticide Usage Survey. Uncertainty maps are produced alongside each active ingredient map to quantify the level of confidence in the estimated applications. Uncertainty is quantified using the distribution of each parameter estimate obtained from the modelling method and is expressed relative to the total application. The product builds upon the Centre for Ecology & Hydrology (CEH) Land Cover® Plus: Crops product. These maps were created under the NERC funded ASSIST (Achieving Sustainable Agricultural Systems) project to enable exploration of the impacts of agrochemical usage on the environment, enabling farmers and policymakers to implement better, more sustainable agricultural practices. Full details about this dataset can be found at https://doi.org/10.5285/99a2d3a8-1c7d-421e-ac9f-87a2c37bda62