6 Works

Diversification of Molinia-dominated blanket bogs using Sphagnum propagules

Michael Pilkington, Jonathan Walker, Jonathan Walker, Chris Fry, Phil Eades, Roger Meade, Nicholas Pollett, Tony Rogers, Tom Helliwell, David Chandler, Emma Fawcett & Tom Keatley
This dataset contains vegetation and water table data from a trial described in the paper "Pilkington, M.G., Walker, J., Fry, C., Eades, P., Meade, R., Pollett, N., Rogers, T., Helliwell, T., Chandler, D., Fawcett, E. and Keatley T. (2021). Diversification of Molinia-dominated blanket bogs using Sphagnum propagules. Ecological Solutions and Evidence. Article DOI: 10.1002/2688-8319.12113 The trial investigates the establishment and growth of Sphagnum colonies arsing from planting Sphagnum propagules ("plugs") amongst purple moor grass, Molinia...

Evaluation of national scale, long-distance connectivity (and its protection) in England’s priority habitat inventory - 2015 dataset

T.J.P. Travers, J. Alison, S.D. Taylor, H.Q.P. Crick & J.A. Hodgson
The results of an analysis of the connectivity of sixteen priority habitat networks in England using the Condatis methodology. The dataset includes conductance scores for each of the priority habitat networks (an overall assessment of how connected the habitat network is), the flow scores for each contiguous habitat patch within each of the habitat networks (the importance of that patch to connectivity), as well as details of protection. Additionally, the dataset includes data and scripts...

Mapping differences in mammalian distributions and diversity using environmental DNA from rivers

Allan McDevitt, Holly Broadhurst, Luke Gregory, Emma Bleakley, Joseph Perkins, Jenna Lavin, Polly Bolton, Samuel Browett, Claire Howe, Natalie Singleton, Darren Tansley & Naiara Sales
Finding more efficient ways to monitor, and estimate the diversity of, mammalian communities is a major step towards their management and conservation. Environmental DNA (eDNA) from river water has recently been shown to be a viable method for biomonitoring mammalian communities. Yet, most of the studies to date have focused on the potential for eDNA to detect individual species, with little focus on describing patterns of community diversity and structure. In this study, we focus...

Deep learning object detection to estimate the nectar sugar mass of flowering vegetation

Damien Hicks, Mathilde Baude, Christoph Kratz, Pierre Ouvrard & Graham Stone
Floral resources are a key driver of pollinator abundance and diversity, yet their quantification in the field and laboratory is laborious and requires specialist skills. Using a dataset of 25000 labelled tags of fieldwork-realistic quality, a Convolutional Neural Network (Faster R-CNN) was trained to detect the nectar-producing floral units of 25 taxa in surveyors’ quadrat images of native, weed-rich grassland in the UK. Floral unit detection on a test set of 50 model-unseen images of...

Data from: The fifth review of Birds of Conservation Concern in the United Kingdom, Channel Islands and Isle of Man and second IUCN Red List assessment of extinction risk of birds for Great Britain

Andrew Stanbury, Mark Eaton, Nicholas Aebischer, Dawn Balmer, Andy Brown, Andy Douse, Patrick Lindley, Neil McCulloch, David Noble & Win Ilka
The fifth review of Birds of Conservation Concern (BoCC5) in the UK, Channel Islands and Isle of Man assessed and assigned 245 species to updated Red, Amber and Green lists of conservation concern and showed a continuing decline in the status of our bird populations. In total, 70 species (29% of those assessed) are now on the Red list, up from 36 species in the first review in 1996. Since the last review, in 2015,...

Registration Year

  • 2021
    6

Resource Types

  • Dataset
    6

Affiliations

  • Natural England
    6
  • UK Centre for Ecology & Hydrology
    1
  • Royal Society for the Protection of Birds
    1
  • Game & Wildlife Conservation Trust
    1
  • University of Lisbon
    1
  • University of Edinburgh
    1
  • University of Salford
    1
  • The National Trust
    1
  • British Trust for Ornithology
    1
  • University of Hull
    1