@article{6f4d989ebdbc4b30a9b3139de17649f7,
title = "Predicting the effects of climate change on the cross-scale epidemiological dynamics of a fungal plant pathogen",
abstract = "The potential for climate change to exacerbate the burden of human infectious diseases is increasingly recognized, but its effects on infectious diseases of plants have received less attention. Understanding the impacts of climate on the epidemiological dynamics of plant pathogens is imperative, as these organisms play central roles in natural ecosystems and also pose a serious threat to agricultural production and food security. We use the fungal {\textquoteleft}flax rust{\textquoteright} pathogen (Melampsora lini) and its subalpine wildflower host Lewis flax (Linum lewisii) to investigate how climate change might affect the dynamics of fungal plant pathogen epidemics using a combination of empirical and modeling approaches. Our results suggest that climate change will initially slow transmission at both the within- and between-host scales. However, moderate resurgences in disease spread are predicted as warming progresses, especially if the rate of greenhouse gas emissions continues to increase at its current pace. These findings represent an important step towards building a holistic understanding of climate effects on plant infectious disease that encompasses demographic, epidemiological, and evolutionary processes. A core result is that neglecting processes at any one scale of plant pathogen transmission may bias projections of climate effects, as climate drivers have variable and cascading impacts on processes underlying transmission that occur at different scales.",
author = "Miller, {Ian F.} and Juliana Jiranek and Mckenna Brownell and Sarah Coffey and Barrett Gray and Maria Stahl and Metcalf, {C. Jessica E.}",
note = "Funding Information: This research was supported by grants from the Princeton University High Meadows Environmental Institute, the Princeton University Center for Health and Wellbeing, and the Rocky Mountain Biological Laboratory. IFM is supported by a NSF Graduate Research Fellowship. We would like to thank Jennie Reithel and the Rocky Mountain Biological Laboratory for research and logistical support, and Emily Miller for help with data collection. We acknowledge the World Climate Research Programme's Working Group on Coupled Modeling, which is responsible for CMIP, and we thank the National Science Foundation, Department of Energy and National Center for Atmospheric Research modeling group for producing and making available their model output. For CMIP the U.S. Department of Energy's Program for Climate Model Diagnosis and Intercomparison provides coordinating support and led development of software infrastructure in partnership with the Global Organization for Earth System Science Portals. Funding Information: This research was supported by grants from the Princeton University High Meadows Environmental Institute, the Princeton University Center for Health and Wellbeing, and the Rocky Mountain Biological Laboratory. IFM is supported by a NSF Graduate Research Fellowship. We would like to thank Jennie Reithel and the Rocky Mountain Biological Laboratory for research and logistical support, and Emily Miller for help with data collection. We acknowledge the World Climate Research Programme's Working Group on Coupled Modeling, which is responsible for CMIP, and we thank the National Science Foundation, Department of Energy and National Center for Atmospheric Research modeling group for producing and making available their model output. For CMIP the U.S. Department of Energy's Program for Climate Model Diagnosis and Intercomparison provides coordinating support and led development of software infrastructure in partnership with the Global Organization for Earth System Science Portals. Publisher Copyright: {\textcopyright} 2022, The Author(s).",
year = "2022",
month = dec,
doi = "10.1038/s41598-022-18851-z",
language = "English (US)",
volume = "12",
journal = "Scientific Reports",
issn = "2045-2322",
publisher = "Nature Publishing Group",
number = "1",
}