Evidence map›Paper›PMID 28724732›Full record

ArticleProceedings. Biological sciences2017

Integrating regulatory surveys and citizen science to map outbreaks of forest diseases: acute oak decline in England and Wales.

Nathan Brown, Frank van den Bosch, Stephen Parnell, Sandra Denman

Abstract read
In one paragraph

Article in Proceedings. Biological sciences, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
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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

4 authors.

Nathan BrownComputational and Systems Biology, Rothamsted Research, Harpenden, UK nathan.brown@rothamsted.ac.uk.ORCID http://orcid.org/0000-0003-3590-0538
Frank van den BoschComputational and Systems Biology, Rothamsted Research, Harpenden, UK.
Stephen ParnellSchool of Environment and Life Sciences, University of Salford, Peel Building, Manchester, Lancashire, UK.
Sandra DenmanForest Research, Farnham, Surrey, UK.ORCID http://orcid.org/0000-0001-6138-3402

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The number of emerging tree diseases has increased rapidly in recent times, with severe environmental and economic consequences. Systematic regulatory surveys to detect and establish the distribution of pests are crucial for successful management efforts, but resource-intensive and costly. Volunteers who identify potential invasive species can form an important early warning network in tree health; however, what these data can tell us and how they can be best used to inform and direct official survey effort is not clear. Here, we use an extensive dataset on acute oak decline (AOD) as an opportunity to ask how verified data received from the public can be used. Information on the distribution of AOD was available as (i) systematic regulatory surveys conducted throughout England and Wales, and (ii) ad hoc sightings reported by landowners, land managers and members of the public (i.e. 'self-reported' cases). By using the available self-reported cases at the design stage, the systematic survey could focus on defining the boundaries of the affected area. This maximized the use of available resources and highlights the benefits to be gained by developing strategies to enhance volunteer efforts in future programmes.

Indexed as

Plant DiseasesQuercusCommunity-Based Participatory ResearchConservation of Natural ResourcesData CollectionEnglandForestryForestsSurveys and QuestionnairesWalesacute oak declinecitizen sciencedisease surveydispersal

Identifiers

PMID28724732
PMCPMC5543216

What OpenQuestion holds

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Registered trials

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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.