Evidence map›Paper›PMID 40855074›Full record

ArticleScientific reports2025

High-resolution climate data reveals increased risk of Pierce's disease for grapevines worldwide.

Àlex Giménez-Romero, Eduardo Moralejo, Manuel A Matías

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

3 authors.

Àlex Giménez-RomeroInstituto de Física Interdisciplinar y Sistemas Complejos (IFISC, CSIC-UIB), Campus UIB, 07122, Palma de Mallorca, Spain. alex.gimenez@csic.es.
Eduardo MoralejoTragsa, Passatge Cala Figuera 6, 07009, Palma de Mallorca, Spain.
Manuel A MatíasInstituto de Física Interdisciplinar y Sistemas Complejos (IFISC, CSIC-UIB), Campus UIB, 07122, Palma de Mallorca, Spain.

Funding

Ministerio de Ciencia, Innovación y Universidades PID2021-123723OB-C22
6 · The paper itself

Abstract

Range shifts in plant disease distributions are sensitive to scaling processes; however, few crop case studies have included these considerations. High-quality wines are increasingly being produced in topographically heterogeneous river valleys, and disease models that capture steep relief gradients are especially relevant. Here, we show that nonlinear epidemiological models more accurately reflect the threat of an emerging grapevine pathogen in areas with significant spatial gradients. By comparing the results of simulations using climate data with different spatial resolutions, we identified an increased risk of Pierce's disease caused by the vector-borne bacterium Xylella fastidiosa in wine regions worldwide. Over 100,000 vineyards worldwide were analysed, with an increase from 21.8 to 41.2% of the area at risk in Europe, from 5.6 to 47.2% in South Africa, and to a lesser extent in other wine-growing regions. This general trend has been preceded by an accelerating rate of increase in risk within wine-growing areas. Our analysis demonstrates the importance of microclimatic conditions, highlighting previously unresolved risk zones in areas close to rivers and valleys and the insufficiency of lower-resolution datasets to capture complex climatic variations.

Indexed as

ClimatePlant DiseasesVitisXylellaWine

Identifiers

PMID40855074
PMCPMC12379226

What OpenQuestion holds

Textmetadata
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.