Impacts of weather anomalies and climate on plant disease

Predicting 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 hypothesized 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 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 curr..., , , # Impacts of weather anomalies and climate on plant disease

[https://doi.org/10.5061/dryad.p8cz8wb0h](https://doi.org/10.5061/dryad.p8cz8wb0h)

## Description of the data and file structure

Data was collected through a systematic literature review and by extracting relevant climatic data from available databases.

### Files and variables

#### File: ELE\_-\_climate\_and\_plant\_disease\_code\_and\_data.zip

**Description:** Files:

* Kirk_et_al_ELE_README.docx
* data folder

      Contains two CSV files: Plant disease survey data from literature review, Climate and weather data associated with plant disease surveys

* output folder

Empty folder to store output from R code
* Kirk_ELE_climate_and_plant_disease_code.R

       R script to run analyses to run models, create tables, create figures, and create supplemental figures.

 **Climate and weather data CSV details**

-       obs is an observation column to link the data to the disease survey data

-       bio01 represents the annu...