Pulse Brain · Growing Health Evidence Index
Tier 3 — Observational / field trialPeer-reviewed

The database of the PREDICTS (projecting responses of ecological diversity in changing terrestrial systems) project

Hudson, L. N. et al

Ecol. Evol. 7, 145-188 (2017) · 2017

Read source ↗ All evidence

Summary

The PREDICTS project (www.predicts.org.uk) is a three-year NERC-funded project to model and predict at a global scale how local terrestrial diversity responds to human pressures such as land use, land cover, pollution, invasive species and infrastructure. PREDICTS is a collaboration between Imperial College London, the UNEP World Conservation Monitoring Centre, Microsoft Research Cambridge, UCL and the University of Sussex. In order to meet its aims, the project relies on extensive data describing the diversity and composition of biological communities at a local scale. Such data are collected on a vast scale through the committed efforts of field ecologists. If you have appropriate data that you would be willing to share with us, please get in touch (enquiries@predicts.org.uk). All contributions will be acknowledged appropriately and all data contributors will be included as co-authors on an open-access paper describing the database.

Outcomes reported

Referenced by Nature Communications British biodiversity scenarios as citation 158; likely supports topic area: methods / modelling / statistics. Topics: methods / modelling / statistics Evidence type: Trial / experiment Source report: Nature Communications British biodiversity scenarios Ref#: Nature Communications British biodiversity scenarios #158 Original: Hudson, L. N. et al. The database of the PREDICTS (projecting responses of ecological diversity in changing terrestrial systems) project. Ecol. Evol. 7, 145-188 (2017).

Theme
Farming systems, soils & land use
Subject
Other / interdisciplinary
Study type
Research
Source type
Peer-reviewed research
Status
Published
Geography
United Kingdom
System type
Other
DOI
10.21425/f54415577
Catalogue ID
IRmoq83nfn-aa3596
Pulse AI · ask about this record

Dig deeper with Pulse AI.

Pulse AI has read the whole catalogue. Ask about this record, its theme, or how the findings apply to UK farming and policy — every answer cites the underlying studies.