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

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

Outhwaite, Charlotte L;Powney, Gary D;August, Tom A;Chandler, Richard E;Rorke, Stephanie;Pescott, Oliver L;Harvey, Martin;Roy, Helen E;Fox, Richard;Roy, David B;Alexander, Keith;Ball, Stuart;Bantock, Tristan;Barber, Tony;Beckmann, Björn 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;
scientific data 2019 Vol. 6 pp. 259
293
outhwaite2019annualscientific

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.

Citation

ID: 69274
Ref Key: outhwaite2019annualscientific
Use this key to autocite in SciMatic or Thesis Manager

References

Blockchain Verification

Account:
NFT Contract Address:
0x95644003c57E6F55A65596E3D9Eac6813e3566dA
Article ID:
69274
Unique Identifier:
10.1038/s41597-019-0269-1
Network:
Scimatic Chain (ID: 481)
Loading...
Blockchain Readiness Checklist
Authors
Abstract
Journal Name
Year
Title
5/5
Creates 1,000,000 NFT tokens for this article
Token Features:
  • ERC-1155 Standard NFT
  • 1 Million Supply per Article
  • Transferable via MetaMask
  • Permanent Blockchain Record
Blockchain QR Code
Scan with Saymatik Web3.0 Wallet

Saymatik Web3.0 Wallet