Evidence map›Paper›PMID 39831741›Full record

ReviewEcology letters2025

Impacts of Weather Anomalies and Climate on Plant Disease.

Devin Kirk, Jeremy M Cohen, Vianda Nguyen, Marissa L Childs, Johannah E Farner, T Jonathan Davies, S Luke Flory, Jason R Rohr, Mary I O'Connor, Erin A Mordecai

Abstract readReview
In one paragraph

Review in Ecology letters, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

10 authors.

Devin KirkDepartment of Biology, Stanford University, Stanford, California, USA.ORCID https://orcid.org/0000-0001-9588-1004
Jeremy M CohenDepartment of Ecology and Evolutionary Biology, Center for Biodiversity and Global Change, Yale University, New Haven, Connecticut, USA.ORCID https://orcid.org/0000-0001-9611-9150
Vianda NguyenDepartment of Biology, Stanford University, Stanford, California, USA.
Marissa L ChildsEmmett Interdisciplinary Program in Environment and Resources, Stanford University, Stanford, California, USA.ORCID https://orcid.org/0000-0002-8597-2161
Johannah E FarnerDepartment of Biology, Stanford University, Stanford, California, USA.
T Jonathan DaviesBiodiversity Research Centre, University of British Columbia, Vancouver, British Columbia, Canada.ORCID https://orcid.org/0000-0003-3318-5948
S Luke FloryAgronomy Department, University of Florida, Gainesville, Florida, USA.ORCID https://orcid.org/0000-0003-3336-8613
Jason R RohrDepartment of Biological Sciences, Environmental Change Initiative, Eck Institute of Global Health, University of Notre Dame, Notre Dame, Indiana, USA.ORCID https://orcid.org/0000-0001-8285-4912
Mary I O'ConnorDepartment of Zoology and Biodiversity Research Centre, University of British Columbia, Vancouver, British Columbia, Canada.ORCID https://orcid.org/0000-0001-9583-1592
Erin A MordecaiDepartment of Biology, Stanford University, Stanford, California, USA.ORCID https://orcid.org/0000-0002-4402-5547

Funding

The child health impacts of overlapping vector-borne diseases in KenyaR01AI102918 · NIAID · STANFORD UNIVERSITY · PI Angelle Desiree LaBeaud · 2013 to 2026
$7.7M
Leveraging environmental drivers to predict vector-borne disease transmissionR35GM133439 · NIGMS · STANFORD UNIVERSITY · PI Erin Mordecai · 2019 to 2026
$3.2M
Modeling the influence of temperature on the evolution of vector-virus interactionsR01AI168097 · NIAID · WADSWORTH CENTER · PI Alexander Timothy Ciota · 2022 to 2026
$2.4M
National Science Foundation DEB-2011147NIAID NIH HHS R01 AI102918NIAID NIH HHS R01 AI168097NIGMS NIH HHS R35 GM133439NIH HHS R01AI102918NIH HHS R01AI168097NIH HHS R35GM133439Stanford Center for Innovation in Global HealthStanford King Center on Global DevelopmentStanford Woods Institute for the EnvironmentUSDA-EEID 1031035
6 · The paper itself

Abstract

Predicting the effects of climate change on plant disease is critical for protecting ecosystems and food production. Here, we show how disease pressure responds to short-term weather, historical climate and weather anomalies by compiling a global database (4339 plant-disease populations) of disease prevalence in both agricultural and wild plant systems. We hypothesised that weather and climate would play a larger role in disease in wild versus agricultural plant populations, which the results supported. In wild systems, disease prevalence peaked when the temperature was 2.7°C warmer than the historical average for the same time of year. We also found evidence of a negative interactive effect between weather anomalies and climate in wild systems, consistent with the idea that climate maladaptation can be an important driver of disease outbreaks. Temperature and precipitation had relatively little explanatory power in agricultural systems, though we observed a significant positive effect of current temperature. These results indicate that disease pressure in wild plants is sensitive to nonlinear effects of weather, weather anomalies and their interaction with historical climate. In contrast, warmer temperatures drove risks for agricultural plant disease outbreaks within the temperature range examined regardless of historical climate, suggesting vulnerability to ongoing climate change.

Indexed as

Climate ChangePlant DiseasesWeatherTemperature

Identifiers

PMID39831741
PMCPMC11952683

What OpenQuestion holds

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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.