66 Works

Differential nutrient limitation and tree height control leaf physiology, supporting niche partitioning in tropical dipterocarp forests

David Bartholomew, Lindsay Banin, Paulo Bittencourt, Mohammed Aminur Bin Suis, Lina Mercado, Reuben Nilus, David Burslem & Lucy Rowland
Revealing the mechanisms of environmental niche partitioning within lowland tropical forests is important for understanding the drivers of current species distributions and potential vulnerability to environmental change. Tropical forest structure and species composition change across edaphic gradients in Borneo over short distances. However, our understanding of how edaphic conditions affect tree physiology and whether these relationships drive niche partitioning within Bornean forests remains incomplete. This study evaluated how leaf physiological function changes with nutrient availability...

Variation and correlation in the timing of breeding of North Atlantic seabirds across multiple scales

Katharine Keogan, Francis Daunt, Sarah Wanless, Richard Phillips, David Alvarez, Tycho Anker-Nilssen, Robert Barrett, Claus Bech, Peter Becker, Per-Arvid Berglund, Sandra Bouwhuis, Zofia Burr, Olivier Chastel, Signe Christensen-Dalsgaard, Sébastien Descamps, Tony Diamond, Kyle Elliott, Kjell Einar Erikstad, Mike Harris, Jonas Hentati-Sundberg, Martin Heubeck, Magdalene Langset, Svein Lorentsen, Heather Major, Mark Mallory … & Stephen Kress
Timing of breeding, an important driver of fitness in many populations, is widely studied in the context of global change, yet despite considerable efforts to identify environmental drivers of seabird nesting phenology, for most populations we lack evidence of strong drivers. Here we adopt an alternative approach, examining the degree to which different populations positively covary in their annual phenology to infer whether phenological responses to environmental drivers are likely to be (i) shared across...

Multi-tier archetypes to characterise British landscapes, farmland and farming practices

C.E.D. Goodwin, L. Bütikofer, J.H. Hatfield, G.M. Richter & J.W. Redhead
This dataset consists of landscape and agricultural management archetypes (1 km resolution) at three levels, defined by different opportunities for adaptation. Tier 1 archetypes quantify broad differences in soil, land cover and population across Great Britain, which cannot be readily influenced by the actions of land managers; Tier 2 archetypes capture more nuanced variations within farmland-dominated landscapes of Great Britain, over which land managers may have some degree of influence. Tier 3 archetypes are built...

Land Cover Map 2020 (25m rasterised land parcels, N. Ireland)

R.D. Morton, C.G. Marston, A.W. O’Neil & C.S. Rowland
This is a 25m pixel data set representing the land surface of Northern Ireland, classified into 21 UKCEH land cover classes, based upon Biodiversity Action Plan broad habitats. It is a three-band raster in GeoTiff format, produced by rasterising three properties of the classified land parcels dataset. The first band gives the most likely land cover type; the second band gives the per-parcel probability of the land cover, the third band is a measure of...

Physical and geochemical properties of saltmarsh soils from narrow diameter gouge cores in UK saltmarshes collected between 2018 and 2021

C. Smeaton, C.J.T. Ladd, G.M. Havelock, L.C. Miller, E. Garrett, W. Hiles, L. McMahon, R.T.E. Mills, A. Radbourne, L. Rees-Hughes, S. Riegel, N.L.M. Barlow, M.W. Skov, R. Gehrels & W.E.N. Austin
The dataset comprises of physical and biogeochemical measurements of saltmarsh soils from across 22 UK saltmarshes. Between 2018 and 2021, 462 narrow diameter gouge cores (30 mm in diameter) were collected as part of the Carbon Storage in Intertidal Environments (C-SIDE) project to facilitate the calculation of saltmarsh soil organic carbon stocks. Sites were chosen to represent contrasting habitats types in the UK, in particular sediment types, vegetation and sea level history. The data provides...

Soil moisture product merged from satellite and modelled data for Great Britain, April 2015-December 2017

M. Tanguy, J. Peng, E. Robinson, E. Pinnington, J. Evans, R. Ellis, E. Cooper, J. Hannaford, E. Blyth & S. Dadson
A soil moisture product for Great Britain at two spatial resolutions: 12.5km and 1km, based on triple collocation error estimation and a least-squares merging scheme. Two remote sensing soil moisture datasets (one passive microwave dataset: SMAP, and one active microwave dataset: ASCAT) and a modelled soil moisture dataset (from JULES-CHESS land surface model) were combined to produce this dataset. The dataset covers the period going from 1st April 2015 to 31st December 2017, at a...

R Shiny demonstrator application for advancing reproducible research

C.-H.M. Tso
This model code provides an example to demonstrate a new application of the 'learnr' R package to help authors to make elements of their research analysis more readily reproducible to users. It turns a R Markdown document to guided, editable, isolated, executable, and resettable code sandboxes where users can readily experiment with altering the codes exposed

Carbon concentrations in natural and restoration pools in blanket peatlands in Scotland, 2013-2015

P.J. Chapman, C.S. Moody, T.E. Turner, R. McKenzie, K.J. Dinsmore, A.J. Baird, M.F. Billett, R. Andersen, F. Leith & J. Holden
Dataset contains water chemistry data (pH, conductivity, dissolved carbon, dissolved gases, absorbance) from natural and artificial/restoration peat pools in Scottish peatlands. Water samples were collected seasonally from three sites, and more frequently (up to weekly) from one site, within the Flow Country. This work was supported by the Natural Environment Research Council award number NE/J007609/1

Vegetation plot data from the UKCEH Countryside Survey, Great Britain, 2020 and 2021

S.M. Smart, C. Andrews, M. Brentegani, E. Fitos, R.A. Garbutt, A. Gray, P.A. Henrys, C.E. Long, B. Meek, S. Mullally, C. Ó Ceallaigh, C. O’Rourke, D.W. Pallett, E. Peet, P. Scarlett, M. Wagner, H. Wallace, B. Williams & C.M. Wood
This dataset consists of plant species presence and abundance in different sizes of plots recorded from 159 1km squares across Great Britain in 2020 and 2021, as part of a rolling soil and vegetation monitoring program of 500 1km squares, beginning in 2019 and repeated every 5 years. The UKCEH Countryside Survey is a unique study or 'audit' of the natural resources of the UK's countryside. The sample sites are chosen from a stratified random...

Loch Leven monitoring data (water quality, chemistry, crustacean zooplankton), 2020

P.J. Taylor, A. Dobel, A. Grant, I.D.M. Gunn, J.P. Olszewska & L. May
This dataset contains weather conditions, water quality, water chemistry and crustacean zooplankton counts sampled at Loch Leven throughout the year 2020. Loch Leven is a lowland lake in Scotland, United Kingdom. The data were collected as part of a long-term monitoring programme, which began in 1968 and is still underway. Sampling occurs roughly every 2 weeks with laboratory analysis and data processing being performed at the UK Centre for Ecology & Hydrology Edinburgh site. The...

Motion-activated camera trap images of Eurasian Lynx in the Ukrainian Chornobyl Exclusion Zone, 2012-2018

S. Gashchak, S. Paskevych, E. Gulyaichenko, D. Vishnevskyi, C.L. Barnett & N.A. Beresford
Data comprise a catalogue of motion activated digital trap camera images of Eurasian Lynx (Lynx lynx (L., 1758)) obtained from motion-activated digital trap cameras located within the Chornobyl Exclusion Zone, Ukraine (CEZ) over multiple years (2012-2018). Images of Eurasian lynx obtained from the cameras are included as part of the dataset. The data were obtained from three research projects: (1) NatEnvPr - Studies conducted 2012–2018 (2) TREE - Studies conducted 2014–2016 and (3) RED FIRE...

Grid-to-Grid model estimates of soil moisture for Great Britain and Northern Ireland driven by UK Climate Projections 2018 (UKCP18) Regional (12km) data (1980 to 2080)

A.L. Kay, A.C. Rudd, H.N. Davies, R.A. Lane & V.A. Bell
Gridded hydrological model soil moisture estimates on a 1km grid over Great Britain and Northern Ireland for the period Dec 1980 - Nov 2080 (units: m water/m soil), driven by UK Climate Projections 2018 (UKCP18) Regional (12km) data (1980 to 2080). The data are provided in gridded netCDF files. There is one file for each ensemble member and separate files for Great Britain and Northern Ireland. To aid interpretation, two additional spatial datasets are provided:...

Historical (1950-2014) and projected (2015-2100) hydrological model (HMF-WA) estimates of monthly mean and annual maximum river flows across West Africa driven by CMIP6 projected climate data

P. Rameshwaran, V.A. Bell, M.J. Brown & H.N. Davies
This dataset comprises seven ensembles of hydrological model estimates of monthly mean and annual maximum river flows (m3s-1) on a 0.1° × 0.1° grid (approximate grid of 10 km × 10 km) across West Africa for historical (1950 to 2014) and projected future (2015 to 2100) periods. This dataset is the output from the Hydrological Modelling Framework for West Africa, or “HMF-WA” model. The ensembles correspond to CMIP6 (Coupled Model Inter-comparison Project Phase 6) historical...

Peak flow and probability of exceedance data for Grid-to-Grid modelled widespread flooding events across mainland GB from 1980-2010 and 2050-2080

A. Griffin, A. Kay, V. Bell, E.J. Stewart, P. Sayer & S. Carr
This dataset is a set of 24 gridded netcdf files, each including data describing a total of 14,400 widespread flooding events across mainland GB, with event selection based on a peaks-over-threshold approach. The data describes peak river flow in m3/s and the associated annual probability of exceedance for each 1km grid-square on the GB river network. The data is extracted from daily time series data from the Grid-to-Grid model, using UKCP18 12km regional projections from...

Long-term multisite Scots pine trial, Scotland: nursery phenotypes, 2007-2011

A. Perry, J.K. Beaton, J.A. Stockan, J.E. Cottrell, G.R. Iason & S. Cavers
Phenotypes (growth, phenology and form) for Scots pine trees in a long-term common garden trial grown in three nurseries in Scotland and surveyed from 2007 to 2011.

Bird and butterfly abundance from consistently surveyed agri-environmental monitoring transects at Hillesden, UK, 2006-2017

J.W. Redhead, M. Botham, P.E. Bellamy, R.K. Broughton, M. Heard, S. Hinsley & R.F. Pywell
This dataset contains bird and butterfly abundance data from field-surveyed transects at Hillesden, UK (2006-2017). Over this time period, Hillesden hosted two five-year experimental manipulations of agri-environmental habitats, alongside monitoring of their impacts on biodiversity and agronomic indicators. This dataset contains data suitable for analysis of ten-year interannual population trends across both 5-year phases of experimental work at Hillesden, and subsequent comparison with equivalent trends derived from equivalent national recording schemes (Breeding Bird Survey (BBS)...

European Monitoring and Evaluation Program Model for the UK (EMEP4UK) daily atmospheric composition for 2002-2021

J. Scheffler & M. Vieno
This dataset is a model output from the European Monitoring and Evaluation Programme (EMEP) model applied to the UK (EMEP4UK) driven by Weather and Research Forecast model meteorology (WRF). It provides UK estimates daily averaged atmospheric composition at 3x3 km² grid for the years 2002 to 2021. The data consists of atmospheric composition and deposition values of various pollutants; including PM10, PM2.5, secondary organic aerosols (SOA), elemental carbon (EC), secondary inorganic aerosols (SIA), SO₂, NH₃,...

Potential evapotranspiration derived from HadUK-Grid gridded climate observations 1969-2020 (Hydro-PE HadUK-Grid)

M.J. Brown, E.L. Robinson, A.L Kay, R. Chapman, V.A. Bell & E.M. Blyth
Gridded potential evapotranspiration calculated from HadUK-Grid gridded observed meteorological data at 1 km resolution over the United Kingdom for the years 1969-2020. This dataset contains two potential evapotranspiration variables: daily total potential evapotranspiration (PET; kg m-2 d-1) and daily total potential evapotranspiration with interception correction (PETI; kg m-2 d-1). The units kg m-2 d-1 are equivalent to mm d-1. The data are provided in gridded netCDF files. There is one file for each variable, for...

Land Cover Map 2021 (land parcels, N. Ireland)

C. Marston, C.S. Rowland, A.W. O’Neil & R.D. Morton
This is a vector data set representing the land surface of Northern Ireland, classified into 21 UKCEH land cover classes, based upon Biodiversity Action Plan broad habitats. This vector Land Parcel dataset is the result of intersecting the 10m raster classified pixel datasets with the UKCEH Land Parcel Spatial Framework to generate summary land parcel attributes for each land cover parcel. A full description of this and all UKCEH LCM2021 products are available from the...

United Kingdom Butterfly Monitoring Scheme: species trends 2020

M.S. Botham, I. Middlebrook, S. Harris, C. Harrower, M. Lowe & D.B. Roy
This dataset provides linear trends, over varying time periods, for the 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 the present year), for the last 20 years, and for the last decade. In addition, trends are classified based on the direction and significance of a linear slope together with...

Wildlife camera trap photographs from the Chornobyl Exclusion Zone, Ukraine (June 2020 - November 2020) following extensive wildfires

C.L. Barnett, S. Gashchak, M.D. Wood & N.A. Beresford
The data presented here comprise a catalogue of 61736 camera trap images obtained during the period June - November 2020 (this period is described within the dataset as 'setup 1'). Following the explosion at the Chornobyl nuclear power plant in April 1986, a 5000 km2 exclusion zone surrounding the plant was created; people and farm animals were subsequently evacuated from the area. In April 2020 there were severe wildfires within the Ukrainian part of the...

ISIMIP2a Simulation Data from the Regional Forests Sector

Mats Mahnken, Alessio Collalti, Daniela Dalmonech, Carlo Trotta, Volodymyr Trotsiuk, Andrey Lessa Derci Augustynczik, Rasoul Yousefpour, Martin Gutsch, David Cameron, Harald Bugmann, Nica Huber, Timothy Thrippleton, Friedrich Bohn, Daniel Nadal-Sala, Santiago Sabaté, Rüdiger Grote, Annikki Mäkelä, Francesco Minunno, Mikko Peltoniemi, Patrick Vallet, Marek Fabrika, Katarína Merganičová, Iliusi Vega del Valle, Jan Volkholz & Christopher Reyer
The Inter-Sectoral Impact Model Intercomparison Project (ISIMIP) provides a framework for the collation of a set of consistent, multi-sector, multi-scale climate-impact simulations, based on scientifically and politically relevant historical and future scenarios. This framework serves as a basis for robust projections of climate impacts, as well as facilitating model evaluation and improvement, allowing for advanced estimates of the biophysical and socio-economic impacts of climate change at different levels of global warming. It also provides a...

Gridded estimates of hourly areal rainfall for Great Britain 1990-2016 [CEH-GEAR1hr] v2

E. Lewis, N. Quinn, S. Blenkinsop, H.J. Fowler, J. Freer, M. Tanguy, O. Hitt, G. Coxon, P. Bates, R. Woods, M. Fry, A. Chevuturi, O. Swain & S.M. White
The dataset contains 1km gridded estimates of hourly rainfall for Great Britain for the period 1990-2016. The estimates are derived by applying the nearest neighbour interpolation method to a national database of hourly raingauge observations collated by Newcastle University and the UK Centre for Ecology & Hydrology (UKCEH). These interpolated hourly estimates were then used to temporally disaggregate the CEH-GEAR daily rainfall dataset. The estimated rainfall on a given hour refers to the rainfall amount...

Radar derived seasonal surface water maps for three Indian districts (Shivamogga, Sindhudurg, Wayanad), 2017-2018

N.G. Uday, B. Purse, A.T. Vanak, A. Samrat, A. Chaudhary & F. Gerard
Data provided are monthly surface water layers extracted from Sentinel1A SAR data for 3 districts in India (Shivamogga, Sindhudurg, Wayanad) for the year 2017 and 2018. Surface water body layers were mapped using an average monthly threshold value extracted from the image backscatter histogram. The average threshold value excluded the monsoon months due to the difference in water and not water area. The threshold value was slightly lesser than the mean threshold value. The end...

United Kingdom Butterfly Monitoring Scheme: site indices 2020

M.S. Botham, I. Middlebrook, S. Harris, C. Harrower, M. Lowe & D.B. Roy
This dataset comprises individual site indices for UK butterfly species calculated from data from the UK Butterfly Monitoring Scheme (UKBMS). Site indices are a relative rather than an absolute measure of the size of a population, and have been shown to relate closely to other, more intensive, measures of population size such as mark, release, recapture (MRR) methods. The site index can be thought of as a relative measure of the population size, being a...

Registration Year

  • 2022

Resource Types

  • Dataset
  • Other


  • UK Centre for Ecology & Hydrology
  • University of St Andrews
  • University of York
  • Bangor University
  • University of Glasgow
  • Butterfly Conservation
  • British Trust for Ornithology
  • University of Aberdeen
  • University of Leeds
  • Helmholtz Centre for Environmental Research