Annual estimates of occupancy for bryophytes, lichens and invertebrates in the UK, 1970–2015

Outhwaite, Charlotte L.; Powney, Gary D.; August, Tom A. ORCID: https://orcid.org/0000-0003-1116-3385; Chandler, Richard E.; Rorke, Stephanie; Pescott, Oliver L. ORCID: https://orcid.org/0000-0002-0685-8046; Harvey, Martin; Roy, Helen E. ORCID: https://orcid.org/0000-0001-6050-679X; Fox, Richard; Roy, David B. ORCID: https://orcid.org/0000-0002-5147-0331; Alexander, Keith; Ball, Stuart; Bantock, Tristan; Barber, Tony; Beckmann, Bjorn C.; Cook, Tony; Flanagan, Jim; Fowles, Adrian; Hammond, Peter; Harvey, Peter; Hepper, David; Hubble, Dave; Kramer, John; Lee, Paul; MacAdam, Craig; Morris, Roger; Norris, Adrian; Palmer, Stephen; Plant, Colin W.; Simkin, Janet; Stubbs, Alan; Sutton, Peter; Telfer, Mark; Wallace, Ian; Isaac, Nick J.B. ORCID: https://orcid.org/0000-0002-4869-8052. 2019 Annual estimates of occupancy for bryophytes, lichens and invertebrates in the UK, 1970–2015. Scientific Data, 6, 259. 12, pp. https://doi.org/10.1038/s41597-019-0269-1

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Official URL: http://dx.doi.org/10.1038/s41597-019-0269-1

Abstract/Summary

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.

Item Type:	Publication - Article
Digital Object Identifier (DOI):	https://doi.org/10.1038/s41597-019-0269-1
UKCEH and CEH Sections/Science Areas:	Biodiversity (Science Area 2017-)
ISSN:	2052-4463
Additional Information. Not used in RCUK Gateway to Research.:	Open Access paper - full text available via Official URL link.
Additional Keywords:	biodiversity, ecological modelling, macroecology
NORA Subject Terms:	Ecology and Environment
Date made live:	15 Nov 2019 12:26 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/525900

Item Type:

Publication - Article

Digital Object Identifier (DOI):

https://doi.org/10.1038/s41597-019-0269-1

UKCEH and CEH Sections/Science Areas:

Biodiversity (Science Area 2017-)

ISSN:

2052-4463

Additional Information. Not used in RCUK Gateway to Research.:

Open Access paper - full text available via Official URL link.

Additional Keywords:

biodiversity, ecological modelling, macroecology