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Record W6929753715 · doi:10.5281/zenodo.10730768

Plant health status of Fagus spp.(FAGUSTAT)

2024· report· en· W6929753715 on OpenAlexaboutno aff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2024
Typereport
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsBeechFagus sylvaticaTwigFagaceaeDiseaseTransmission (telecommunications)

Abstract

fetched live from OpenAlex

Beech Leaf Disease (BLD) was detected in Ohio, USA, in 2012, on American beech (F. grandifolia). Since then it has spread to 12 northeastern states and Canada (Ontario), in forests and landscaped areas. The symptoms of BLD include interveinal dark bands on the leaves, crinkling and irregularly thickened leaves and twig dieback; ultimately leading to decline and death of young trees within years. Beech Leaf Disease causes severe damage to stands of F. grandifolia, but also to European beech, F. sylvatica, the main beech species in Europe. A new nematode, Litylenchus crenatae subsp. mccannii (Carta et al., 2020), is now considered as the causal agent of BLD (Vieira et al., 2023) but it was suggested that other microorganisms also play a role in the disease (Burke et al., 2020; Ewing et al., 2021). Pathways of transmission between trees have not been elucidated yet; they might include windborne water, mites, insects, or birds. BLD has never been reported from Europe and could be a severe threat to Fagus spp. stands. In this project, we made a first assessment of the presence/absence of BLD in Europe. Surveys were organised in Belgium, Ireland, the Netherlands, Romania, Slovenia and the UK. A fact sheet about BLD was made to inform people in the field and samples were collected using a common sampling strategy. Samples were taken during summer and fall (July-November) in 2021 and 2022, from beech trees showing symptoms similar to those caused by BLD. This resulted in 658 samples taken at 561 sites. More sites were visually inspected, but not all had trees showing BLD-like symptoms. Nematodes were extracted from leaves, buds and beechnuts, using the Baermann technique, with or without mistifier. Occasionally some non-plant parasitic nematodes were observed, but Litylenchus crenatae subsp. mccannii was never found. This project also aimed to increase public awareness of BLD and encourage the reporting of symptoms. Therefore, people in the field (inspectors, foresters, botanic gardens, parks, arboreta, NPPO…), as well as the general public, were informed via leaflets, posters, presentations, newsletters, publications in specialized magazines, institutional websites or observation platforms. Although the nematode was not found, the microbiome of symptomatic and healthy leaves was studied in Belgium and UK, using RNA-sequencing (metatranscriptomics) and metabarcoding. There were no clear differences compared with genera of bacteria and fungi reported from America. The drivers for the fungal and bacterial leaf microbiome, studied using barcoding, were mainly “location” and “environment” (nursery vs forest). Attempts were made to obtain inoculum of L. crenatae for the evaluation of the host status of European beech cultivars and to study the nematode’s behaviour under European climatic conditions (in confined conditions), but acquiring the nematode was very difficult. Moreover, attempts to culture the nematode on carrot disks, fungal mycelium, in beech plantlets and on beech callus failed. We engaged with BLD researchers in the USA and Canada through regular online meetings with BLD researchers, receiving valuable and updated information. To assess the possibilities of entry from America or Asia, information was gathered on the origin of beech tree materials. As current legislation does not allow import, except for some cases which require phytosanitary certificates, entry of infected leaves is theoretically impossible. Imports with BLD, could have occurred some decades ago however, so vigilance for the presence of BLD is still appropriate. The obtained information will contribute to pest risk assessments for Europe and the development of appropriate measures for protecting Fagus spp. in Europe.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.008
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.085
GPT teacher head0.317
Teacher spread0.233 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreOther

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2024
Admission routes1
Has abstractyes

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