The Land Classification 1990 is a classification of Great Britain into a set of 32 environmental strata, termed land classes, to be used as a basis for ecological survey, originally developed by the Institute of Terrestrial Ecology (ITE) in the late 1970s. The strata were created from the multivariate analysis of 75 environmental variables, including climatic data, topographic data, human geographical features and geology data. The Land Classification can be used to stratify a wide range of ecological and biogeographical surveys to improve the efficiency of collection, analysis and presentation of information derived from a sample. The Land Classification 1990 provided stratification the Countryside Survey of Great Britain 1990. The dataset was later modified in 1998 and 2007 for successive Countryside Surveys, both versions of which are also available. Full details about this dataset can be found at https://doi.org/10.5285/ab320e08-faf5-48e1-9ec9-77a213d2907f
This is a web map service for the Land Classification of the Shetland Isles. The classification was originally developed by the Institute of Terrestrial Ecology (ITE) in 1974 as a framework for ecological sampling and is a stratification of the land into a set of sixteen environmental strata at a 1km resolution. Each strata is an area sharing similar environmental characteristics (such as altitude, geology, distance from sea). The web map service contains two layers: 1) EnvironmentalStrata - all sixteen land classes; 2) OverviewOfStrata - land classes arranged into four related groups. The strata may briefly be described thus: Classes 1-4 - Coastal strata with few rivers running into the sea, gentle terrain; Classes 5-8 - Coastal strata with more sea and steeper slopes; Classes 9-12 - High altitude inland group, with few small water bodies; Classes 13-16 - Lower altitude zones with much peat and freshwater lochans. The four strata within each of these groups contain subtly different variations.
This dataset includes the PROTECH validation output against a yearlong monitoring study conducted during 2016 in the lake and catchment of Rostherne Mere and the PROTECH output files following changes in internal and external nutrient loads and future climate scenarios based on the UK Climate Projections (UKCP09) data. These data were collected to demonstrate the future possible trajectories of change with alterations in air temperature, internal nutrient loads and external nutrient loads. Validation data is presented as daily model outputs, while all future projection data is presented as collated annual average model output data for each future change scenario. The PROTECH model (Phytoplankton RespOnses To Environmental CHange) simulates the in situ dynamics of phytoplankton in lakes and reservoirs, specialising in predicting phytoplankton species, particularly Cyanobacteria (blue-green algae) The work was carried out as part of a Natural Environment Research Council (NERC) funded PhD [grant number NE/L002493/1]. Full details about this dataset can be found at https://doi.org/10.5285/2f0eae1c-1512-4823-9cbe-cb54f05ee996
This dataset includes sediment trap diatom captures and water column temperature profiles from a PhD research project at Rostherne Mere in Cheshire. These data were collected to show the relationship between climate, especially short-term climatic perturbations, and diatom assemblages. The sediment trap data cover the period from October 2004 to January 2017, while the thermal profiles cover October 2005 to December 2016. Diatom data is presented with date, percentage taxa abundance and diatom fluxes based on total sediment yield. Temperature profiles are presented as mean daily figures. The work was carried out as part of a Natural Environment Research Council (NERC) funded PhD [grant number NE/L002493/1], with the temperature data funded by the UKLEON (UK Lake Ecological Observatory Network) project via a NERC small grant [grant number NE/I007261/1]. Full details about this dataset can be found at https://doi.org/10.5285/16f52064-a19d-4cf5-a388-aff04a592179