Estimates of annual loads of phosphorus, sediment, nitrogen and faecal coliform from non-agricultural sources to rivers in Scotland, reported at Water Framework Directive (WFD) catchment scale. The sources of pollutants include: urban, woodland, montane areas, river bank erosion, septic tanks and sewage treatment works. Loads are estimated based upon available data (e.g. septic tank licences) and modelling (bank erosion). The values specify phosphorous, nitrogen or sediment losses in kilograms per year and faecal coliform in 10^6 colony forming units (cfu) per year. Full details about this dataset can be found at https://doi.org/10.5285/eb73ca31-7eb9-479c-96be-6063e29c8a7f

Modelled predictions of annual pollutant loads in rivers from agricultural source areas for Scotland, reported at Water Framework Directive (WFD) catchment scale. The modelled pollutants include total phosphorous, nitrate (NO3-N), faecal indicator organisms (FIOs), suspended solids, methane (CH4) and nitrous oxide (N2O) gas emissions. The agricultural source areas include arable land, improved grassland, rough grazing land and others (e.g. steadings, tracks and other non-field losses). Modelled predictions account for current (c. 2012) implementation of General Binding Rules, Nitrate Vulnerable Zone Action Programme and a number of SRDP options. The values specify pollutant losses in 10^6 colony forming units (cfu) per year for FIOs and kilograms per year for the other pollutants. Full details about this dataset can be found at https://doi.org/10.5285/d4d5a10e-1612-4bb5-97b2-2b850cccdcb2

Estimates of annual volumes of manure produced by six broad farm livestock types for England and Wales at 10 km resolution, modelled with MANURES-GIS [1]. The farm livestock classes are: dairy cattle; beef cattle; pigs; sheep and other livestock; laying hens; broilers and other poultry. The quantities produced by each type are subsequently apportioned into managed and field-deposited manure. The managed manure sources are categorised as beef farmyard manure, beef slurry, dairy farmyard manure, dairy slurry, broiler litter, layer manure, pig farmyard manure, pig slurry and sheep farmyard manure. The destinations are recorded as grass, winter arable, spring arable and direct excreta when grazing. For each 10 km square, the quantity of manure going from each source to each destination is estimated. The values specify amount of excreta, in kilograms for solid manure and in litres for liquid manure. [1] ADAS (2008) The National Inventory and Map of Livestock Manure Loadings to Agricultural Land: MANURES-GIS. Final Report for Defra Project WQ0103 Full details about this dataset can be found at https://doi.org/10.5285/517717f7-d044-42cf-a332-a257e0e80b5c

73 ecosystem services variables for 11 Environmental Change Network (ECN) sites throughout the UK mainland. The variables cover provisioning (food, fibre, fuel, genetic resources, biochemical and pharmaceuticals, ornamental), regulating (air quality regulation, climate regulation, water regulation, erosion, human diseases, biological control, pollination, natural hazard, other hazards) and cultural (cultural diversity) service types. The list of variables was agreed at an ECN site manager's workshop as representative of the high level categories defined by the Millennium Ecosystem Assessment. The variables were calculated from data from three sources (i) data collected for the ECN to standard ECN protocols, (ii) data obtained by site managers from a variety of other sources for their site and (iii) expert knowledge of site managers. The data were from a single year (usually 2009) or were averages of annual measurements. Established in 1992, the ECN is the UK's long-term environmental monitoring and research programme and makes regular measurements of air, soil, water and a range of animals and plants across a network of sites to determine how and why the natural environment is changing. The ECN is a multi-agency programme sponsored by a consortium of UK government departments and agencies. Full details about this dataset can be found at https://doi.org/10.5285/2c5f823d-0dca-4e66-b021-de3e81131979