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    An examination of how climate change could affect the future spread of Fusarium spp. around the world, using correlative models to model the changes

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    1-s2.0-S2352186423001736-main.pdf (3.208Mb)
    Date
    2023-08-31
    Author
    Muhammad Riaz, Ejaz
    Jaoua, Samir
    Ahmadi, Mohsen
    Shabani, Farzin
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    Abstract
    Climate change is predicted to have a significant impact on the geographic distribution of various flora, fauna, and insect species by expanding, contracting, or shifting their suitable climate environment. The plant pathogenic fungus Fusarium is known for causing crop diseases like blight, root and stem rots, and wilts, making it the most significant mycotoxigenic genus in weeds and food across various climatic zones worldwide. In this study, we hypothesize that crop diseases caused by Fusarium spp. will increase across all four corners of the world by 2050 and 2070 in response to future climate conditions. A series of correlative species distribution models (SDMs), including a generalized linear model (GLM), maximum entropy (MaxEnt), generalized boosting model (GBM), and surface range envelope, were employed to project and compare how the niche of Fusarium spp. will change from the present time to 2050 and 2070 under two Climate Change Representative Concentration Pathways (RCPs) of 8.5 and 4.5 (scenarios of high and low greenhouse gas emissions, respectively). Our approach (the ensemble predictions of 4 SDMs) minimizes the uncertainty (differences) of the projection results from each one of the models. The findings of this study have global implications because Fusarium spp. are associated with host species that are present on major continents such as Asia, Europe, Australia, and North and South America. The information gathered could be beneficial to farmers and planners when creating strategies to prevent the proliferation of Fusarium spp. as well as calculating the expenses associated with using pesticides to minimize contamination and increase yields.
    URI
    https://www.sciencedirect.com/science/article/pii/S2352186423001736
    DOI/handle
    http://dx.doi.org/10.1016/j.eti.2023.103177
    http://hdl.handle.net/10576/60155
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    • Biological & Environmental Sciences [‎931‎ items ]

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