Evidence map›Paper›PMID 40496735›Full record

ArticleData in brief2025

State of nature 2023 terrestrial and freshwater animal dataset for the United Kingdom and its constituent countries.

Fiona Burns, Simone Mordue, Nida Al-Fulaij, Philipp Boersh-Supan, Katherine L Boughey, Philip Briggs, Mark A Eaton, Colin Harrower, Angus C Jackson, Steve Langton and 5 more

Abstract read
In one paragraph

Article in Data in brief, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Fiona BurnsRSPB, Centre for Conservation Science, David Attenborough Building, Pembroke Street, Cambridge CB2 3QZ, United Kingdom.
Simone MordueRSPB, Centre for Conservation Science, David Attenborough Building, Pembroke Street, Cambridge CB2 3QZ, United Kingdom.
Nida Al-FulaijPeople's Trust for Endangered Species, 3 Cloisters House, 8 Battersea Park Road, London SW8 4BG, United Kingdom.
Philipp Boersh-SupanBritish Trust for Ornithology, Thetford IP24 2PU, United Kingdom.
Katherine L BougheyBat Conservation Trust, Studio 15 Cloisters House, Cloisters Business Centre, 8 Battersea Park Road, London SW8 4BG, United Kingdom.
Philip BriggsBat Conservation Trust, Studio 15 Cloisters House, Cloisters Business Centre, 8 Battersea Park Road, London SW8 4BG, United Kingdom.
Mark A EatonME Rare Breeding Bird Panel, Alnwick NE66 1EL, United Kingdom.
Colin HarrowerUK Centre for Ecology & Hydrology, Maclean Building, Benson Lane, Crowmarsh Gifford, Wallingford, Oxfordshire OX10 8BB, United Kingdom.
Angus C JacksonSeasearch, Marine Conservation Society, Overross House, Ross Park, Ross-on-Wye HR9 7US, United Kingdom.
Steve LangtonHallgarth, Leavening, Malton, N Yorkshire YO17 9SA, United Kingdom.
Francesca ManciniUK Centre for Ecology & Hydrology, Maclean Building, Benson Lane, Crowmarsh Gifford, Wallingford, Oxfordshire OX10 8BB, United Kingdom.
David NobleBritish Trust for Ornithology, Thetford IP24 2PU, United Kingdom.
Chris R ShortallRothamsted Insect Survey, Rothamsted Research, Harpenden AL5 2JQ, United Kingdom.
Chloë A SmithButterfly Conservation, Manor Yard, East Lulworth, Wareham, Dorset BH20 5QP, United Kingdom.
Robin J PakemanThe James Hutton Institute, Craigiebuckler, Aberdeen AB15 8QH, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This article describes the terrestrial and freshwater animal trend data used in creating the 2023 State of Nature reports for the UK and its constituent countries. Trend data for long- (1970-2020/21) and short-term (2010-2020) periods have been calculated by fitting statistical models to measures of abundance (753 species) or occupancy (4979 species) across the UK. Trend data was also calculated for each constituent country: England, Northern Ireland, Scotland and Wales for reduced sets of species. Trends in abundance data were generally created from the analysis of repeat counts at specific sites. Trends in occupancy were created by analysing ad hoc species records of invertebrates provided by volunteers. Statistical methods partially controlled for the risk of bias and the noisy nature of such occupancy data. Trends were only calculated where the number of species records justified the creation of trend statistics. Species that make up three key groups of insects are identified in additional columns in the dataset, those responsible for key ecosystem functions: species providing freshwater nutrient cycling, pollinating insects and predators of crop pests. The data has one clear limitation in that it is only a partial representation of the fauna of the UK. Many cryptic, nocturnal or soil dwelling species are poorly recorded and even some easy to identify species such as amphibians and reptiles do not have a suitable recording scheme that captures abundance.

Indexed as

AbundanceBiodiversityLong-term trendOccupancyShort-term trend

Identifiers

PMID40496735
PMCPMC12151253

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.