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2020

609 record(s)
 
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From 1 - 10 / 609
  • This dataset contains prey items of common guillemot (Uria aalge) and razorbill (Alca torda) observed during the 2019 breeding season at East Caithness Special Protection Area (SPA), Buchan Ness to Collieston Coast SPA and Isle of May National Nature Reserve, off the east coast of Scotland. The diet of these two species has been studied on the Isle of May since the 1980s. To our knowledge, the only previous studies of diet were undertaken at Buchan Ness to Collieston Coast SPA (in 2006, 6km to the north of the site used in this study; and in 2017 & 2018, using a similar protocol as in 2019), and previous studies of diet have been undertaken at East Caithness SPA (2017 & 2018). Full details about this dataset can be found at https://doi.org/10.5285/3d90a2b0-9a9e-4e39-8986-9082d1ec529e

  • This dataset reports results on seedling growth and survival for two hyphal exclusion experiments in a subtropical forest. The data include survival status, height, total biomass and the biomass of component plant parts, percentage root colonisation by mycorrhizas, for tree seedlings of ten common species including five ectomycorrhizal (ECM) and five arbuscular mycorrhizal (AM) species, which were transplanted in the in-growth cores with windows covering different sizes of nylon meshes (35 vs. 0.5 µm). The dataset provides raw data on growth and survival metrics for each seedling, plus identifying codes for the dominant sites where the experiments were conducted, as well as experimental block, mesh treatment, botanical names for the tree species, and mycorrhizal type. The data were entered into Excel spreadsheets and exported as comma separated value files (csv). Study area - the Heishiding Nature Reserve (111°53’E, 23°27’N, 150-927 m a.s.l.) in Guangdong Province of south China. Full details about this dataset can be found at https://doi.org/10.5285/f1d17e61-bb6c-47a9-a648-062c63ea7f16

  • Gridded land use map of Peninsular Malaysia with a resolution of approximate 25 meters for the year 2018. The map includes nine different classes: 1) non-paddy agriculture, 2) paddy fields, 3) rural residential, 4) urban residential, 5) commercial/institutional, 6) industrial/infrastructure, 7) roads, 8) urban and 9) others. The land use map was created as part of the project “Malaysia - Flood Impact Across Scales”. The project is funded under the Newton-Ungku Omar Fund ‘Understanding of the Impacts of Hydrometeorological Hazards in South East Asia’ call. The grant was jointly awarded by the Natural Environment Research Council and the MYPAIR Scheme under the Ministry of Higher Education of Malaysia. Full details about this dataset can be found at https://doi.org/10.5285/36df244e-11c8-44bc-aa9b-79427123c42c

  • Data on timing of breeding, breeding success and diet of the European shag, sampled from the Isle of May population. The data were collected between 1985 and 2015 by visually checking nests and collecting regurgitated diet samples. These data are part of the Isle of May long-term study to assess population trends of seabirds under environmental change (IMLOTS https://www.ceh.ac.uk/our-science/projects/isle-may-long-term-study). Full details about this dataset can be found at https://doi.org/10.5285/6231bd5b-ee2d-4cca-a9ef-88006ffa4976

  • These datasets provide Concentration Based Estimated Deposition (CBED) values of nitrogen, sulphur and base cations deposition for 5x5 kilometre (km) grid squares of the UK averaged over the years 1986 to 2012. The data consist of deposition values for sulphur, oxidised nitrogen and reduced nitrogen, and base cations. Total deposition is the sum of four components calculated separately: wet deposition, dry deposition of gases, dry deposition of particulate matter and cloud droplet deposition. Habitat-specific data are provided for (i) moorland/short vegetation, and (ii) forest. Additionally, the grid square average over multiple land cover types (i.e. arable, grassland, forest, moorland, urban) is also calculated. The habitat-specific data are recommended for use with critical loads for the calculation of critical load exceedances. The work in generating and compiling the dataset has been funded by the UK Centre for Ecology & Hydrology (UKCEH) and various Department for Environment, Food & Rural Affairs (Defra) contracts. Full details about this dataset can be found at https://doi.org/10.5285/8e7644fe-9f17-4fc3-8e4e-8b10a42d5d50

  • The R code "carbon_stock_calculations.R" estimates aboveground carbon stocks for 49 plots in 14 fragmented forest sites and 4 continuous forest sites in Sabah, Malaysian Borneo, using the vegetation dataset ‘Vegetation and habitat data for fragmented and continuous forest sites in Sabah, Malaysian Borneo, 2017’. The 14 fragmented sites were all in Roundtable on Sustainable Palm Oil-certified oil palm plantations, and are hereafter termed 'conservation set-asides'. The code also estimates the aboveground carbon stocks of oil palm plantations for comparison. The R code "analyses_and_figures.R" runs analyses and makes figures of aboveground carbon stocks and associated plant diversity for these sites, as presented in Fleiss et al. (2020) This R code was created in order to investigate the following: (1) to establish the value of conservation set-asides for increasing oil palm plantation aboveground carbon stocks; (2) to establish whether set-asides with high aboveground carbon stocks can have co-benefits for plant diversity; (3) to compare the carbon stocks and vegetation structure of conservation set-asides with that of continuous forest, including assessing tree regeneration potential by examining variation in seedling density; (4) to examine potential drivers of variation in aboveground carbon stocks of conservation set-asides (topography, degree of fragmentation, and soil parameters); (5) to scale-up the estimates of the aboveground carbon stocks of conservation set-asides, in order to predict average carbon stocks of oil palm plantations with and without set-asides, and for varying coverage of set-asides across the plantation. Full details about this application can be found at https://doi.org/10.5285/9ff5cdca-b504-4994-8b07-5912ee6aff47

  • This R application is an implementation of state tagging approach for improved quality assurance of environmental data. The application returns state-dependent prediction intervals on input data. The states are determined based on clustering of auxiliary inputs (such as meteorological data) made on the same day. The method provides contextual information to assess the quality of observational data and is applicable to any point-based, daily time series observational data. To use this application, the user will need to input two separate csv files: one for state variables and the other for observations. This work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability. Full details about this application can be found at https://doi.org/10.5285/1de712d3-081e-4b44-b880-b6a1ebf9fcd8

  • To better-understand natural hydroclimate variability and to help place recent climatic change within a longer-term perspective, a reconstruction of summer precipitation was developed based upon the oxygen isotope ratios of precisely-dated latewood alpha-cellulose from oak tree rings. Oxygen isotopes in precipitation are closely related to precipitation variability across the UK, enabling the reconstruction to be used to extend May to August precipitation totals for the England and Wales precipitation series back to 1201CE. The agreement between instrumental and reconstructed values is unusually strong, with more than half of the variance explained and standard verification tests passed. The stability of this relationship is confirmed using split-period calibration and verification. This allows the reconstruction to be variance-scaled to the full length of the England and Wales instrumental series back to 1766CE. Near-constant replication, with a minimum of ten timbers sourced from historic buildings across central southern England ensures signal strength does not change over time. Summers during the late 20th century appear anomalously dry and those of the 21st century very close to the pre-20th century average with no evidence in the record of prolonged 'megadroughts' across England and Wales.

  • Primary forest cover and forest cover loss in Wallacea for the years 2000-2018 to train a deforestation model and produce maps of projected probability of deforestation until 2053. Full details about this dataset can be found at https://doi.org/10.5285/c7148c20-c6b3-43e1-9f99-b6e38e4dfdaf

  • The collection contains three packages of data relating to hunting and law enforcement in Keo Seima Wildlife Sanctuary, Cambodia: (1) a household survey intended to estimate the prevalence of different hunting behaviours and wildlife consumption, local communities’ knowledge of rules, and their perceptions of the ranger patrols responsible for enforcing rules, (2) an experiment designed to measure the ability of ranger patrols to detect snares in a tropical forest environment, and (3) an experiment designed to measure the length of time a snare remains an active threat after it is set. This data is NERC-funded but not held by the EIDC. This data is archived in the UK Data Service ReShare repository