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天气异常和气候对植物病害的影响

Impacts of Weather Anomalies and Climate on Plant Disease.

作者信息

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

机构信息

Department of Biology, Stanford University, Stanford, California, USA.

Department of Zoology and Biodiversity Research Centre, University of British Columbia, Vancouver, British Columbia, Canada.

出版信息

Ecol Lett. 2025 Jan;28(1):e70062. doi: 10.1111/ele.70062.

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.

摘要

预测气候变化对植物病害的影响对于保护生态系统和粮食生产至关重要。在此,我们通过汇编一个涵盖农业和野生植物系统中病害流行情况的全球数据库(4339个植物病害种群),展示了病害压力如何对短期天气、历史气候和天气异常做出反应。我们假设天气和气候在野生植物种群病害中所起的作用要大于在农业植物种群病害中所起的作用,结果证实了这一假设。在野生系统中,当温度比一年中同一时间的历史平均温度高2.7°C时,病害流行程度达到峰值。我们还发现了野生系统中天气异常与气候之间存在负向交互作用的证据,这与气候适应不良可能是病害爆发的一个重要驱动因素的观点一致。在农业系统中,温度和降水的解释力相对较小,不过我们观察到当前温度有显著的正向影响。这些结果表明,野生植物中的病害压力对天气、天气异常及其与历史气候的相互作用的非线性效应很敏感。相比之下,在所研究的温度范围内,无论历史气候如何,气温升高都会增加农业植物病害爆发的风险,这表明农业植物易受当前气候变化的影响。

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本文引用的文献

1
Plant disease risk is modified by multiple global change drivers.
Curr Biol. 2023 Jun 5;33(11):R574-R583. doi: 10.1016/j.cub.2023.03.075.
2
Climate change impacts on plant pathogens, food security and paths forward.
Nat Rev Microbiol. 2023 Oct;21(10):640-656. doi: 10.1038/s41579-023-00900-7. Epub 2023 May 2.
3
Mechanistic models to meet the challenge of climate change in plant-pathogen systems.
Philos Trans R Soc Lond B Biol Sci. 2023 Mar 27;378(1873):20220017. doi: 10.1098/rstb.2022.0017. Epub 2023 Feb 6.
5
Use to Effectively Utilize Plotting Space to Deal With Large Datasets and Outliers.
Front Genet. 2021 Nov 2;12:774846. doi: 10.3389/fgene.2021.774846. eCollection 2021.
6
Nonlinear shifts in infectious rust disease due to climate change.
Nat Commun. 2021 Aug 24;12(1):5102. doi: 10.1038/s41467-021-25182-6.
7
The persistent threat of emerging plant disease pandemics to global food security.
Proc Natl Acad Sci U S A. 2021 Jun 8;118(23). doi: 10.1073/pnas.2022239118.
8
Climate change and disease in plant communities.
PLoS Biol. 2020 Nov 24;18(11):e3000949. doi: 10.1371/journal.pbio.3000949. eCollection 2020 Nov.
9
Divergent impacts of warming weather on wildlife disease risk across climates.
Science. 2020 Nov 20;370(6519). doi: 10.1126/science.abb1702.
10

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