Annual estimates of occupancy for bryophytes, lichens and invertebrates in the UK, 1970–2015
| Autor: | Oliver L. Pescott, Helen E. Roy, Stephen E. Palmer, Tony Cook, Richard Fox, David B. Roy, Tristan Bantock, John Kramer, Colin W. Plant, Mark G. Telfer, Martin Harvey, Keith Alexander, Jim Flanagan, Ian Wallace, David Hepper, Charlotte L. Outhwaite, Stuart Ball, Paul Lee, Bjorn Beckmann, Roger Morris, Gary D. Powney, Adrian Norris, Richard E. Chandler, Tony Barber, Peter G. Sutton, Dave Hubble, Nick J. B. Isaac, Craig R. Macadam, Alan Stubbs, Peter R. Harvey, Janet Simkin, Adrian Fowles, Peter Hammond, Tom August, Stephanie L. Rorke |
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| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
0106 biological sciences
Statistics and Probability Data Descriptor Lichens Occupancy Population Dynamics Biodiversity Library and Information Sciences 010603 evolutionary biology 01 natural sciences Ecology and Environment Education Birds Animals Ecosystem Taxonomic rank Macroecology Lichen lcsh:Science Ecological modelling Invertebrate 010604 marine biology & hydrobiology 15. Life on land Invertebrates United Kingdom Computer Science Applications Taxon Geography lcsh:Q Physical geography Statistics Probability and Uncertainty Scale (map) Butterflies Information Systems |
| Zdroj: | Scientific Data, Vol 6, Iss 1, Pp 1-12 (2019) Scientific Data |
| DOI: | 10.1038/s41597-019-0269-1 |
| Popis: | Here, we determine annual estimates of occupancy and species trends for 5,293 UK bryophytes, lichens, and invertebrates, providing national scale information on UK biodiversity change for 31 taxonomic groups for the time period 1970 to 2015. The dataset was produced through the application of a Bayesian occupancy modelling framework to species occurrence records supplied by 29 national recording schemes or societies (n = 24,118,549 records). In the UK, annual measures of species status from fine scale data (e.g. 1 × 1 km) had previously been limited to a few taxa for which structured monitoring data are available, mainly birds, butterflies, bats and a subset of moth species. By using an occupancy modelling framework designed for use with relatively low recording intensity data, we have been able to estimate species trends and generate annual estimates of occupancy for taxa where annual trend estimates and status were previously limited or unknown at this scale. These data broaden our knowledge of UK biodiversity and can be used to investigate variation in and drivers of biodiversity change. Measurement(s)Occupancy • Species • biodiversity assessment objectiveTechnology Type(s)occupancy modelling • biological records • TrendsFactor Type(s)speciesSample Characteristic - OrganismLichens • Invertebrates • BryophytesSample Characteristic - LocationUnited Kingdom Machine-accessible metadata file describing the reported data: 10.6084/m9.figshare.9977426 |
| Databáze: | OpenAIRE |
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