Evidence map›Paper›PMID 42382594›Full record

ArticleEcology and evolution2026

Evaluation of the e-Surveyor Mobile Application for Undertaking Plant Surveys and Predicting Habitat Type.

Lucy E Ridding, Morag McCracken, Zephyr Orsler, Emily V Upcott, Nadine Mitschunas, Karolis Kazlauskis, Zeke Marshall, Grace Skinner, Simon M Smart, Colin A Harrower and 3 more

Abstract read
In one paragraph

Article in Ecology and evolution, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

13 authors.

Lucy E RiddingUK Centre for Ecology and Hydrology Wallingford UK.ORCID https://orcid.org/0000-0003-3141-8795
Morag McCrackenUK Centre for Ecology and Hydrology Wallingford UK.
Zephyr OrslerUK Centre for Ecology and Hydrology Wallingford UK.ORCID https://orcid.org/0009-0003-5393-4851
Emily V UpcottUK Centre for Ecology and Hydrology Wallingford UK.ORCID https://orcid.org/0000-0003-1133-3102
Nadine MitschunasUK Centre for Ecology and Hydrology Wallingford UK.
Karolis KazlauskisFlumens Kaunas Lithuania.
Zeke MarshallUK Centre for Ecology and Hydrology Bailrigg UK.
Grace SkinnerUK Centre for Ecology and Hydrology Wallingford UK.ORCID https://orcid.org/0000-0002-6972-2963
Simon M SmartUK Centre for Ecology and Hydrology Bailrigg UK.ORCID https://orcid.org/0000-0003-2750-7832
Colin A HarrowerUK Centre for Ecology and Hydrology Wallingford UK.ORCID https://orcid.org/0000-0001-5070-5293
Oliver L PescottUK Centre for Ecology and Hydrology Wallingford UK.ORCID https://orcid.org/0000-0002-0685-8046
Richard F PywellUK Centre for Ecology and Hydrology Wallingford UK.
Tom A AugustUK Centre for Ecology and Hydrology Wallingford UK.ORCID https://orcid.org/0000-0003-1116-3385

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mobile applications with automated species identification can assist citizen scientists in undertaking plant and habitat surveys. Whilst a high level of accuracy for these applications has been reported, very little testing has been done with citizen scientists in the field. If such applications are going to be used to support biodiversity research and conservation management, they need to be sufficiently accurate and functional for their intended use. We evaluated the accuracy of the e-Surveyor mobile application, which includes automated identification for plant species and habitat prediction. We compared species lists and derived habitat associations collected by citizen scientists using the application in the field, with data recorded by expert botanists within the same survey plots. We also assessed the user experience via a questionnaire. Thirty-seven citizen scientists attended the e-Surveyor workshops and completed a questionnaire, with 51 individual plant surveys submitted across the three habitat types: calcareous grassland, neutral grassland and improved grassland. On average, experts recorded more plant species per plot compared with citizen scientists. Of the species recorded by citizen scientists on e-Surveyor that were known to be present, 71% were correctly identified to species level, though typically only 45% of all observable species in the plot according to the expert botanists were captured correctly by the citizen scientists. Eighty per cent of surveys identified the correct first broad habitat and 25% identified the correct first phytosociological community suggested by the application. Citizen scientists provided valuable input through the questionnaire, including improvements to e-Surveyor and future use cases. Most citizen scientists were able to accurately identify almost half of the observable plant species present and determine the correct broad habitat using e-Surveyor, regardless of their botanical skill level. This suggests that the application is a useful tool for supporting biological recording, whilst improving confidence, knowledge and engagement with nature.

Indexed as

automated identificationbroad habitatcitizen sciencehabitat classificationmobile application

Identifiers

PMID42382594
PMCPMC13314545

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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.