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Assessing agricultural risks of climate change in the 21st century in a global gridded crop model intercomparison. Changes in crop yields and their variability at different levels of global warming. The proportion of soil-borne pathogens increases with warming at the global scale. Climate Change effects on Black Sigatoka disease of banana. Fungal infections of rice, wheat, and grape in Europe in 2030–2050. Modelling the role of agriculture for the 20th century global terrestrial carbon balance. Mechanistic niche modelling: combining physiological and spatial data to predict species’ ranges. Species distribution models: ecological explanation and prediction across space and time. Potential distributional changes of invasive crop pest species associated with global climate change. Crop pests and pathogens move polewards in a warming world. Ecological and evolutionary responses to recent climate change. Many unreported crop pests and pathogens are probably already present. Range-expanding pests and pathogens in a warming world. Geometry and evolution of the ecological niche in plant-associated microbes. Threats to global food security from emerging fungal and oomycete crop pathogens. The coastal outlines were obtained from package rworldmap version 1.3–6 for R version 4.0.1.įones, H. Administrative boundaries for the maps were obtained from GADM ( ). Coupled Model Intercomparison Project 5 single-level monthly near-surface RH data were obtained from the Climate Data Store ( ). The annual per capita GDP (PPP) data were obtained from the World Bank ( ). The fungal and oomycete names and name disambiguation data were obtained from Species Fungorum ( ) and MycoBank ( ). The global gridded crop distribution data used in this study are available from EarthStat ( ) and MIRCA2000 ( ). The global gridded climate data and climate projections are available from WorldClim ( ). The FAOSTAT commodity list is available from.
#Mestrenova peaks go beneath baseline license
The fungal and oomycete host plant data and geographical distributions (the Plantwise database) were used under license for the current study and are available with permission from CABI.
The data on annual crop yield projections used in this study are from the Inter-Sectoral Model Intercomparison Project ( ). The fungal and oomycete cardinal temperature data are available in Dryad 42 ( ) and from ref.
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