Integrating connectivity into actionable spatial planning for nature recovery: Lessons learnt from mapping the Nature Recovery Network in England
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Details
- Title
- Integrating connectivity into actionable spatial planning for nature recovery: Lessons learnt from mapping the Nature Recovery Network in England
- Creators
- Angela Liu - University of OxfordBen Siggery - University of Surrey, Centre for Environment and SustainabilityRobbie Still - Kent Community Health NHS Foundation TrustAlison Smith - University of Oxford
- Publication Details
- Ecological solutions and evidence, Vol.6(4), e70166
- Publisher
- Wiley
- Number of pages
- 8
- Publication Date
- 11/12/2025
- Grants
- RC-2021-076, RC-2021-076, Leverhulme Trust (United Kingdom, London)
- Grant note
- The Leverhulme Trust: RC-2021-076 Natural Environment Research Council (NERC): NE/W004976/1
We would like to thank Abi Mansley from the Northumberland County Council, Martin Baker from The Wildlife Trust for Bedfordshire, Cambridgeshire & Northamptonshire, Dr. Juliet Hynes from the Gloucestershire Wildlife Trust, Dr. Jonathan Mosedale from the University of Exeter, Paul Barrington from the Greater Manchester Ecology Unit for taking the time to speak with us and help us gain valuable practitioner insight into how the LNRS spatial plans are being developed. We would also like to thank Mike Waite and Jonathan Rutter for their helpful comments on our manuscript. Alison Smith is funded by the The Leverhulme Trust; the centre's work is made possible thanks to the generous support of The Leverhulme Trust and the Natural Environment Research Council (NERC) (grant number NE/W004976/1) as part of the Agile Initiative at the Oxford Martin School.
- Identifiers
- 991082329002346; WOS:001638145000001
- Academic Unit
- Mechanical Engineering Sciences
- Language
- English
- Resource Type
- Journal article
- Data Access Statement
- The data (LNRS reports) underpinning this work have been cited whenever referenced, and online reports consolidated in Table S2, and notes from the interviews are aggregated in Table S1.