@article{487, author = {Outhwaite Charlotte L. and Powney Gary D. and August Tom A. and Chandler Richard E. and Rorke Stephanie and Pescott Oliver L. and Harvey Martin and Roy Helen E. and Fox Richard and Roy David B. and Alexander Keith and Ball Stuart and Bantock Tristan and Barber Tony and Beckmann Björn C. and Cook Tony and Flanagan Jim and Fowles Adrian and Hammond Peter and Harvey Peter and Hepper David and Hubble Dave and Kramer John and Lee Paul and Macadam Craig and Morris Roger and Norris Adrian and Palmer Stephen and Plant Colin W. and Simkin Janet and Stubbs Alan and Sutton Peter and Telfer Mark and Wallace Ian and Isaac Nick J. B.}, title = {Annual estimates of occupancy for bryophytes, lichens and invertebrates in the UK, 1970–2015}, abstract = {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. }, year = {2019}, journal = {Scientific Data}, volume = {6}, month = {2019/11/05}, isbn = {2052-4463}, url = {https://doi.org/10.1038/s41597-019-0269-1}, doi = {10.1038/s41597-019-0269-1}, }