138 Works

Activity data from common guillemots from the Isle of May during the 2005-2006 annual cycle

R.E. Dunn, F. Daunt, S. Wanless, M.P. Harris & J.A. Green
This dataset contains activity data from 13 common guillemots (Uria aalge) from the Isle of May during the 2005-2006 annual cycle. These biologging data were collected using global location sensing (GLS) time depth recorder (TDR) devices. From these data we derived daily data on guillemot activity budgets, sea surface temperature values, energy expenditure, location fixes and the proportion of dive activity that occurred during day, twilight and night. Data on colony attendance were also collected...

Eddy Covariance measurements of carbon dioxide, energy and water flux at an intensively cultivated lowland deep peat soil, East Anglia, UK, 2012 to 2020

A.M.J. Cumming, T.R. Newman, S.J. Benson, H. Balzter, C. Evans, D. Jones, J. Kaduk, R.D. Morrison & S.E. Page
This dataset contains time series observations of surface-atmosphere exchanges of net ecosystem carbon dioxide exchange (NEE), sensible heat (H) and latent heat (LE), and momentum (τ) for a managed lowland deep peat soil in the East Anglian Fens, England, UK. The site is managed for the production of horticultural salad crops. Measurements were made between the 22nd June 2012 and 1st January 2020 during which lettuce, leek, celery, sugar beet and potatoes crops were grown...

Data from: The effect of root-associated microbes on plant growth and chemical defence traits across two contrasted elevations,

Ludovico Formenti, Veronica Caggia, Jeremy Puissant, Tim Goodall, Gaëtan Glauser, Robert Griffiths & Sergio Rasmann
1. Ecotypic differences in plant growth and anti-herbivore defence phenotypes are determined by the complex interactions between the abiotic and the biotic environment. 2. Root-associated microbes (RAMs) are pervasive in nature, vary over climatic gradients, and have been shown to influence the expression of multiple plant functional traits related to biomass accumulation and biotic interactions. We addressed how variation in climatic conditions between lowland and sub-alpine habitats in the Alps and RAMs can independently or...

Data from: Predicting disease risk areas through co-production of spatial models: the example of Kyasanur Forest Disease in India’s forest landscapes

Bethan Purse, Naryan Darshan, Charles George, Abhiskek Samrat, Stefanie Schäfer, Juliette Young, Manoj Murhekar, France Gerard, Mudassar Chanda, Peter Henrys, Meera Oommen, Subhash Hoti, Gudadappa Kasabi, Vijay Sandhya, Abi Vanak, Sarah Burthe, Prashanth Srinivas, Rahman Mujeeb & Shivani Kiran
This data package includes spatial environmental and social layers for Shivamogga District, Karnataka, India that were considered as potential predictors of patterns in human cases of Kyasanur Forest Disease (KFD). KFD is a fatal tick-borne viral haemorrhagic disease of humans, that is spreading across degraded forest ecosystems in India. The layers encompass a range of fifteen metrics of topography, land use and land use change, livestock and human population density and public health resources for...

Passive sampler ammonia measurements indoors and outdoors at a rural dwelling in South Lanarkshire (2017-2018)

A. Stephens
This dataset consists of ammonia (NH3) measurements at two sites in a rural location in South Lanarkshire. The sites are located in a dwelling, one site is inside in the hall and the other is outside in the garden area . The garden backs onto grassland which is part of a large dairy farm. The ammonia measurements are taken from a set of UKCEH ALPHA® (Adapted Low-cost Passive High Absorption) samplers from January 2017 to...

R implementation of the Ecological Risk due to Flow Alteration (ERFA) method

C.L.R. Laize & J.R. Thompson
This application is an implementation of the Ecological Risk due to Flow Alteration (ERFA) method in R language. This method assesses the potential impact of flow change on river ecosystems. Although the code was developed with a geographical focus on southeast Asia (example datasets are provided for the Mekong River Basin), it can be applied for any location where baseline and scenario monthly river flow time series are available. This program is distributed in the...

Phosphorus, carbon and nitrogen concentrations in UK soil mineral fractions, 2013-2014

J. Adams, E. Tipping, S.A. Thacker & J.N. Quinton
This dataset includes soil mass, organic phosphorus, carbon and nitrogen concentrations for light and heavy fractions, obtained from soils collected from UK habitats. The dataset includes 20 soils, collected from the Ribble, Avon and Conwy catchments in the North West, South and North Wales respectively. Samples were split into light and heavy fractions using a physicochemical fractionation method. The dataset also includes recoveries of carbon, nitrogen and phosphorus as a measure of the efficacy of...

Air pollution removed by vegetation in the UK, 2015

M. Vieno, E. Nemitz, L. Jones, E.J. Carnell & R.D. Morton
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 annual averaged atmospheric composition at approximately 5Km grid for the year 2015 for a set of vegetation removal experiments. * UK current vegetation * UK no vegetation * UK Urban current vegetation * UK No urban vegetation * UK Urban 25% open...

Stoichiometric traits (N:P) of understory plants contribute to reductions in plant diversity following long-term nitrogen addition in subtropical forest

Jianping Wu, Fangfang Shen, Jill Thompson, Wenfei Liu, Honglang Duan & Richard Bardgett
Nitrogen enrichment is pervasive in forest ecosystems, but its influence on understory plant communities and their stoichiometric characteristics is poorly understood. We hypothesize that when forest is enriched with nitrogen (N), the stoichiometric characteristics of plant species explains changes in understory plant diversity. A 13 year field experiment was conducted to explore the effects of N addition on foliar carbon (C): N: phosphorus (P) stoichiometry and understory plant species richness in a subtropical Chinese fir...

Pollinator data from calcareous grassland, heathland and woodland sites in Dorset, UK, 2017-2018

M.E. McCracken, J.M. Bullock, L.E. Ridding, L. Hulmes, S. Hulmes, P.M. Evans, A.C. Newton & S.C.L. Watson
This dataset contains pollinator abundance data from 13 calcareous grassland, 13 heathland and 12 woodland sites within Dorset, UK. The sites were selected to represent a range of habitat types across a condition gradient as measured by levels of degradation from the original habitat. The original habitats were identified as being calcareous grassland, heathland or woodland from a survey conducted in the 1930s. Butterflies, bees, hoverflies, flies and beetles were recorded to species level and...

European soil seed bank communities across a climate and land-cover gradient

Jan Plue, Hans Van Calster, Inger Auestad, Sofia Basto, Reneé M. Bekker, Hans Henrik Bruun, Richard Chevalier, Guillaume Decocq, Ulf Grandin, Martin Hermy, Hans Jacquemyn, Anna Jakobsson, Rein Kalamees, Rob H. Marrs, Bryndis Marteinsdóttir, Per Milberg, Robin J. Pakeman, Gareth Phoenix, Ken Thompson, Vigdis Vandvik, Markus Wagner, Sara A.O. Cousins, Ove Eriksson, Jamshid Ghorbani, Małgorzata Jankowska-Błaszczuk … & Alistair G. Auffret
This is the data set used for the publication Buffering effects of soil seed banks on plant community composition in response to land use and climate, published in the journal Global Ecology and Biogeography. Aim. Climate and land use are key determinants of biodiversity, with past and ongoing changes posing serious threats to global ecosystems. Unlike most other organism groups, plant species can possess dormant life-history stages such as soil seed banks, which may help...

Nutrient chemistry data from five rivers receiving sewage effluent in Oxfordshire, England, 2017

D.S. Read, M. Bowes, D. Nichols & L. Armstrong
This data set comprises water quality data from five tributaries of the River Thames, UK. Sampling sites at each river were from both upstream and downstream of sewage effluent point sources. Parameters measured were phosphorus and nitrogen species, dissolved organic carbon and major dissolved anions (fluoride, chloride, sulphate). This work was carried out as a part of the NERC project: “The environmental REsistome: confluence of Human and Animal Biota in antibiotic resistance spread (REHAB)” (Project...

Land Cover Map 2019 (land parcels, GB)

R. D. Morton, C. G. Marston, A. W. O’Neil & C. S. Rowland
This is the land parcels (polygon) dataset for the UKCEH Land Cover Map of 2019 (LCM2019) representing Great Britain. It describes Great Britain's land cover in 2019 using UKCEH Land Cover Classes, which are based on UK Biodiversity Action Plan broad habitats. This dataset was derived from the corresponding LCM2019 20m classified pixels dataset. All further LCM2019 datasets for Great Britain are derived from this land parcel product. A range of land parcel attributes are...

Land Cover Map 2017 (25m rasterised land parcels, GB)

R.D. Morton, C.G. Marston, A.W. O’Neil & C.S. Rowland
This is the 25m rasterised land parcels dataset for the UKCEH Land Cover Map of 2017 (LCM2017) representing Great Britain. It describes Great Britain's land cover in 2017 using UKCEH Land Cover Classes, which are based on UK Biodiversity Action Plan broad habitats. This dataset was derived by rasterising the corresponding LCM2017 land parcels dataset into 25m pixels. It is provided as a 3-band, 8-bit integer raster. The first band is the UKCEH Land Cover...

Insect pollinator and flower data from the Glastir Monitoring and Evaluation Programme, Wales, 2013-2016

M. Botham, J. Peyton, G. Tordoff, M. Edwards, J. Alison, S. Astbury, A. Burden, B.A. Emmett, A Garbutt, P. Henrys, A. Owen, S.M. Smart, K. Sharps, B Williams & C.M. Wood
This dataset consists of counts of pollinating insects from sites across Wales, with associated information on flower cover and survey conditions. Data were collected during (1) transect walks and (2) timed observations of pollinator-flower interactions. Data were collected between 2013 and 2016 from sites across Wales as part of the Glastir Monitoring and Evaluation Programme (GMEP). The monitoring programme was set up by the Welsh Government to monitor the effects of the Glastir agri-environment scheme...

Vegetation and habitat data for fragmented and continuous forest sites in Sabah, Malaysian Borneo, 2017

E.H. Waddell, S. Fleiss, B. Bala Ola, A. Bin Sailim, A. Jelling, K.L. Yeong, J. Tangah, S. Benedick, H. King, M. Hughes, C.J. McClean, D.S. Chapman, J.K. Hill & L.F. Banin
This dataset contains records for vegetation in 49 plots across 14 fragmented forest sites and 4 continuous forest sites in Sabah, Malaysian Borneo. Living vegetation and deadwood were surveyed in two or three 0.28-ha plots in each of the 18 sites. In addition to vegetation data, the dataset contains topsoil parameters, measurements of forest structure, and metrics of the degree of forest fragmentation in the landscape surrounding the plots. These data were collected in order...

Land Cover Map 1990 (25m raster, N. Ireland)

C.S. Rowland, C.G. Marston, R.D. Morton & A.W. O’Neil
This dataset consists of the 25m raster version of the Land Cover Map 1990 (LCM1990) for Northern Ireland. The 25m raster product consists of three bands: Band 1 - raster representation of the majority (dominant) class per polygon for 21 target classes; Band 2 - mean per polygon probability as reported by the Random Forest classifier (see supporting information); Band 3 - purity - percentage of the polygon covered by the majority class. The 21...

Land Cover Map 2017 (20m classified pixels, N. Ireland)

R.D. Morton, C.G. Marston, A.W. O'Neill & C.S. Rowland
This is the 20m classified pixels dataset for the UKCEH Land Cover Map of 2017 (LCM2017) representing Northern Ireland. It describes Northern Ireland's land cover in 2017 using UKCEH Land Cover Classes, which are based on UK Biodiversity Action Plan broad habitats. This dataset is the Random Forest classification result from classifying a 20m pixel raster containing multi-season spectral information combined with context layers, which help to resolve spectral confusion. It is provided as a...

R code to reproduce analyses of exotic plant invasion in fragmented and continuous forest sites in Sabah, Malaysian Borneo, 2017

E.H. Waddell & D.S. Chapman
This code uses pathway modelling to look at correlations of exotic plant invasion in tropical rainforest remnants and continuous sites. Partial least squares path-modelling looks at correlations between latent variables that are informed by measured variables. The code examines the relative influence of landscape-level fragmentation, local forest disturbance, propagule pressure, soil characteristics and native community composition on invasion. The total native community is examined first. Then subsets of the native community are modelled separately, adult...

Monthly sampling of riverine chemistry and organic matter for 41 rivers in Great Britain in 2017 as part of the LOCATE project

A. Tye, C. Balfour, M. Bowes, I. Brown, C. Evans, G. Farr, S. Felgate, G. Hargreaves, V. Kitidis, D. J. Lapworth, A. Martin, D. J. Mayor, I. Mounteney, P. Nightingale, A. Pickard, R. Sanders, B. Spears, J. Stephens, M. Stinchcombe, R. Torres, P. Williams, J. Williamson, M. Woodward, I. Boothroyd, M. Bowes … & D. Yarrow
This dataset contains particulate and dissolved organic carbon concentrations, nutrients (ammonia, nitrates, phosphate), alkalinity, pH, particulate organic nitrogen, delta-C-13 and delta-15-N isotopes, fluorescence and absorbance from river water samples. Data come from 41 rivers from around Great Britain, sampled on a monthly basis during 2017. LOCATE (Land Ocean CArbon TransfEr) is a multi-disciplinary project that undertakes coordinated sampling of the major rivers in Great Britain to establish how much carbon from soils is getting into...

Soil mid-infrared spectroscopy data from arable and grassland in Countryside Survey, Great Britain 2007

A.M. Keith, B.A. Dodd, G. Turner, C.H. Vane & C.M. Wood
This dataset consists of mid-infrared (MIR) spectra measured on 427 archived soil samples from arable and grassland habitats across Great Britain in 2007. Data on diffuse reflectance spectra were obtained from subsamples of finely ground soil, recorded as absorbance values for wavenumber range 4000–400 cm-1. The soil samples were collected as part of the Countryside Survey monitoring programme, a unique study or ‘audit’ of the natural resources of the UK’s countryside. The analyses were conducted...

Deposition and concentration of nitrogen and sulphur for protected sites in the UK, 2016-2018

W.J. Bealey, C. Martin Hernandez, P.E. Levy & J.R. Stedman
This dataset provides deposition values of sulphur and nitrogen deposition and concentration values for ammonia (NH3), sulphur dioxide (SO2) and nitrogen oxide (NOx) on the UK nature conservation protected sites, averaged over the years 2016 to 2018. The dataset also includes calculated minimum, maximum and gridded average values for each site. Protected nature sites covered are: (i) Special Areas of Conservation (SAC) (ii) Special Protection Areas (SPA) (iii) Sites of Special Scientific Interest (SSSI). The...

Data from: Strong survival selection on seasonal migration versus residence induced by extreme climatic events

Paul Acker, Francis Daunt, Sarah Wanless, Sarah J. Burthe, Mark A. Newell, Michael P. Harris, Hannah Grist, Jenny Sturgeon, Robert L. Swann, Carrie Gunn, Ana Payo-Payo & Jane M. Reid
1. Elucidating the full eco-evolutionary consequences of climate change requires quantifying the impact of extreme climatic events (ECEs) on selective landscapes of key phenotypic traits that mediate responses to changing environments. Episodes of strong ECE-induced selection could directly alter population composition, and potentially drive micro-evolution. However, to date, few studies have quantified ECE-induced selection on key traits, meaning that immediate and longer-term eco-evolutionary implications cannot yet be considered. 2. One widely-expressed trait that allows individuals...

Ensemble outputs from Ecosystem Service models for water supply, aboveground carbon storage and use of water, grazing, charcoal and firewood by beneficiaries in sub-Saharan Africa

D.A.P. Hooftman, S. Willcock, F. Eigenbrod & J.M. Bullock
This dataset contains the gridded estimates per 1 km2 for mean and median ensemble outputs from 4-6 individual ecosystem service models for Sub-Saharan Africa, for above ground Carbon stock, firewood use, charcoal use and grazing use. Water use and supply are identically supplied as polygons. Individual model outputs are taken from previously published research. Making ensembles results in a smoothing effect whereby the individual model uncertainties are cancelled out and a signal of interest is...

Insect species richness for each plant species and insect-plant interactions from the Database of Insects and their Food Plants [DBIF] version 2

R. Padovani, L. Ward, R.M. Smith, M. J.O. Pocock & D.B. Roy
This dataset consists of 4,397 insect species associated with 679 native plant species, 120 archaeophytes, and 234 neophytes from the Database of Insects and their Food Plants (DBIF). The DBIF details approximately 60,000 interactions between phytophagous insect (and mite) species and plants recorded in Great Britain over the last century, based on a wide variety of sources, including entomological journals and field guides. The data here represents a reduced subset of the full DBIF (13,277...

Registration Year

  • 2020
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Affiliations

  • UK Centre for Ecology & Hydrology
    121
  • Centre for Ecology and Hydrology
    16
  • University of Gothenburg
    4
  • University of Cambridge
    3
  • University College London
    3
  • University of Exeter
    3
  • Norwegian Meteorological Institute
    2
  • Research Institute for Nature and Forest
    2
  • University of Aberdeen
    2
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