Evidence map›Paper›PMID 41652665›Full record

ArticleGlobal change biology2026

Patterns and Drivers of Pest and Disease Occurrence in UK Treescapes.

Peter S Stewart, Louise J Barwell, Katharine Turvey, Jane Barbrook, Sarah Green, Ana Pérez-Sierra, Bethan V Purse, Daniel Chapman

Abstract read
In one paragraph

Article in Global change biology, 2026. 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. European Ash (Ecology and evolution · 2026
    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

8 authors.

Peter S StewartSchool of Mathematics and Statistics, University of Glasgow, Glasgow, UK.ORCID 0000-0001-6338-6279
Louise J BarwellUK Centre for Ecology and Hydrology, Wallingford, UK.ORCID 0000-0002-1643-1046
Katharine TurveyUK Centre for Ecology and Hydrology, Wallingford, UK.ORCID 0009-0001-2611-3391
Jane BarbrookAnimal and Plant Health Agency, Plant Health and Seeds Inspectorate, York, UK.
Sarah GreenForest Research, Northern Research Station, Roslin, UK.ORCID 0000-0003-4546-6368
Ana Pérez-SierraForest Research, Alice Holt Lodge, Farnham, UK.ORCID 0000-0001-5403-1433
Bethan V PurseUK Centre for Ecology and Hydrology, Wallingford, UK.ORCID 0000-0001-5140-2710
Daniel ChapmanBiological and Environmental Sciences, University of Stirling, Stirling, UK.ORCID 0000-0003-1836-4112

Funding

Natural Environment Research Council NE/V020005/1
6 · The paper itself

Abstract

Tree pests and diseases are a key threat to woodland biodiversity and commercial forestry worldwide. In the UK, the ongoing spread of pests and diseases is severely affecting a range of nationally important tree species, resulting in substantial ecological and economic impacts. As the risk posed by pests and diseases varies across the UK's treescapes, understanding the patterns of risk and the factors underlying these patterns is crucial for designing and implementing effective mitigation strategies. To address this challenge, we modelled the distribution of pests and diseases across mainland Great Britain, focusing on the total pest and disease burdens for nine host tree species of particular ecological, economic and cultural importance. Using integrated species distribution models, we combined two datasets-totalling 18,871 pest and disease records across 22 years-to model the spatial patterns of risk. To examine the factors underlying these distributions, we used graph-based causal inference approaches to inform our model design and to explore the robustness of our conclusions to variations in our modelling assumptions. We found that pest and disease burdens for broadleaved host trees exhibited hotspots in England, while burdens for conifer hosts tended to be high in Scotland. We identified urban area, human population density and local recreation as important drivers for several species, mainly native broadleaves. By contrast, woodland connectivity, afforestation and the level of conifer coverage were the most important drivers of pest and disease burdens for conifer hosts. Deforestation was also an important driver, with effects on pest and disease burdens for both conifers and broadleaves. Our findings have implications for the management of the UK's treescapes in the face of continuing threats from tree pests and diseases, including supporting targeted surveillance and the prioritisation of tree species for future planting.

Indexed as

Plant DiseasesTreesAnimalsForestsUnited Kingdomcausal inferenceForestintegrated species distribution modelinvasive speciesnewLEAFpathogenpest and diseasepest monitoring

Identifiers

PMID41652665
PMCPMC12881709

What OpenQuestion holds

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LicenceCC BY
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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.