This dataset is a model output from the JULES land surface model driven with the Watch Forcing Data methodology applied to Era-Interim (WFDEI) data. It provides monthly global methane emissions from natural wetlands on 0.5 x 0.5 degree grid between 1980-2014. It includes the following variables: - fch4_wetl: modelled methane flux from natural wetland, in mg CH4 m-2 day-1 - fwetl: fraction of wetland - cs: soil carbon in each of these four soil carbon pools: decomposable plant material, resistant plant material, microbial biomass and humus), in kg m-2 - t_soil: sub-surface temperature of the four modelled soil layers (0-0.1 m, 0.1-0.35 m, 0.35-1.0 m and 1.0-2.0 m), in K Full details about this dataset can be found at https://doi.org/10.5285/6ce61e91-6912-4fe2-a095-12136af86347

The data describe vegetation outlines and tree tops above 1m in height as polylines and points. Data have been processed from a digital terrain model (DTM) and digital surface model (DSM), converted from raw LiDAR data. The LiDAR dataset was acquired for Cornwall and Devon (all the land west of Exmouth) during the months of July and August 2013. The data were created as part of the Tellus South West project. Full details about this dataset can be found at https://doi.org/10.5285/78dba959-989b-43d4-b4da-efd2506e0c8e

The dataset contains: (i) estimates of zinc tolerance for 50 populations of Silene uniflora in the UK and Ireland generated between 03/2021 and 09/2021. The data were collected using cuttings from wild collected specimens. Root growth of cuttings in zinc rich media was assessed using deep water culture experiments. The data set contains the zinc tolerance (mean and standard deviations of root growth scores) and the number of cuttings assessed for each population; (ii) GPS positions describing the locations of 56 populations of Silene uniflora in the UK and Ireland which were observed between 2018 and 2021. Basic habitat type (montane, serpentine, mine, coastal) information is also included. The work was supported by the Natural Environment Research Council NE/R001081/1. Full details about this dataset can be found at https://doi.org/10.5285/af4735e3-b5ba-4e0b-8a41-503eeff89a82

The data describe the ecological responses (invertebrate diversity and biomass, plant diversity, soil characteristics and microbial diversity) to experimental manipulation of floristic diversity and vegetation height in planted urban meadows. The experiment consisted of a replicated set of nine different perennial meadow treatments, sown in six public urban greenspaces in the towns of Bedford and Luton, in the UK. Full details about this dataset can be found at https://doi.org/10.5285/d0741544-cdf3-497d-996b-e30b4b7373c1

The dataset contains abundance data of airborne pollen (including Anthoxanthum odoratum (sweet vernal-grass), Arrhenatherum elatius (false oat-grass), Cynosurus cristatus (crested dog's-tail), Dactylis glomerata (cock's-foot), Lolium perenne (perennial ryegrass), Phleum pratense (Timothy), Poa pratensis (smooth meadow-grass), grass species within the genera Alopecurus/Agrostis, and one probe that was found to be degenerate and unable to discriminate grass species. Here we used qPCR to track the seasonal progression of airborne grass pollen, in time and space. To do this we collected aerial samples from thirteen sites across the UK during the pollen seasons (May to September) of 2016 and 2017. Full details about this dataset can be found at https://doi.org/10.5285/28208be4-0163-45e6-912c-2db205126925

The data provide a quantitative measure of the dry bulk density, soil texture, organic matter content (LOI) and organic carbon present within surface soils (up to a depth of 10 cm). A total of 212 samples from 49 sites across England and Wales were collected using modified syringe samplers as part of the citizen scientist programme CarbonQuest, part of Carbon Storage in Intertidal Environments (C-SIDE) project. Sites were chosen to represent contrasting habitats across England and Wales, in particular sediment types, vegetation and sea level history.The samples were processed for bulk density, soil texture, organic matter content using the Loss on Ignition (LOI) method and the organic carbon was quantified through elemental analysis. The data were collected to help create a detailed picture of saltmarsh carbon storage in surficial soils across England and Wales. The work was carried out under the NERC programme - Carbon Storage in Intertidal Environment (C-SIDE), NERC grant reference NE/R010846/1 Full details about this dataset can be found at https://doi.org/10.5285/e5554b83-910f-4030-8f4e-81967dc7047c

This dataset consists of a survey of the vegetational impacts of deer in 20 forests as part of the NERC Rural Economy and Land Use (RELU) programme. It is widely accepted, at least in principle, that most kinds of natural resources are best handled collaboratively. Collaborative management avoids conflict and enhances the efficiency with which the resource is managed. However, simply knowing that collaboration is a good idea does not guarantee that collaboration can be achieved. In this project, the researchers have addressed issues of conflict and collaboration in ecological resource management using the example of wild deer in Britain. Deer are an excellent example since they highlight problems around ownership and because they offer both societal benefits and drawbacks. Wild deer are not owned, though the land they occupy is. As deer move around, they usually cross ownership boundaries and thus provoke potential conflicts between neighbouring owners who have differing management goals. Deer themselves are valued and a key component of the natural environment, but their feeding commonly limits or prevents woodland regeneration and can thus be harmful to ecological quality. Deer provide jobs but they also provoke traffic accidents. This study used a variety of methods from across the natural and social sciences, including choice experiments, semi-structured interviews with individuals and focus groups. It also incorporated the use of participatory GIS to map deer distributions and habitat preferences in conjunction with stakeholders. The study confirmed conventional wisdom about the importance of collaboration. However, it also showed that there were many barriers to achieving effective collaboration in practice, such as contrasting objectives, complex governance arrangements, power imbalances and personal relationships. Mechanisms for enhancing collaboration, such as incentives and incorporating deer within broader landscape management objectives, were examined. Though these proposals were worked out for the case of deer, they are likely to be applicable much more widely and should be considered in other cases of disputed or rapidly changing ecological resource management. This dataset consists of a survey of the vegetational impacts of deer in 20 forests. The interview and focus group transcripts, and the choice experiment datasets from this study are available at the UK Data Archive under study number 6545 (see online resources). Further documentation for this study may be found through the RELU Knowledge Portal and the project's ESRC funding award web page (see online resources).

This dataset contains information about water quality based on faecal indicators at 15 lakes in the Greater Glasgow conurbation, Scotland. Lakes were sampled in winter (2016/17) and summer (2017) with faecal indicators being quantified at high spatial resolution (up to 60 points per lake depending on water body size) in sediment and water from each lake. Faecal indicators were quantified based on standard dilution, membrane filtration and incubation for water, and incubation in bacteria-specific broth, followed by plating and incubation for sediment extracts. Contextual information about water quality, water bird densities, and land cover in different buffer sizes is also provided for each lake. The data were collected to investigate how connectivity and stressors interact to determine biodiversity and ecosystem function in freshwaters. The work was supported by the Natural Environment Research Council grant NE/N006437/1 (Hydroscape: connectivity x stressor interactions in freshwater habitats) Full details about this dataset can be found at https://doi.org/10.5285/34df30f2-3163-4c11-8743-3732e49220fb

The data provide information on a number of male cricket behaviours organized according to time and duration of the behaviour. Also included are the mean temperature at the ground level for the duration of each observation. Full details about this dataset can be found at https://doi.org/10.5285/f56d3d1c-28f2-4667-90b0-ef352243dd2a

This dataset contains locations of worker bumblebees of five species (Bombus terrestris, B. lapidarius, B. pascuorum, B. hortorum, B. ruderatus) across an agricultural landscape centred on the Hillesden Estate, Buckinghamshire, UK. Locations were recorded in the field using a handheld GPS unit. Workers were non-lethally DNA sampled between June and August 2011, and genetic analysis used to confirm species and assign individuals to full-sib groups (colonies). Data were collected as part of a project led by the Centre for Ecology & Hydrology, funded under the Insect Pollinators Initiative. Full details about this dataset can be found at https://doi.org/10.5285/a60f52b8-0f9f-44f6-aca4-861cb461a0eb