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All datasets used and generated during this study are provided in a public repository: https://github.com/legli/AgriculturalStability.
The codes used for data preparation and analyses are provided in a public repository: https://github.com/legli/AgriculturalStability.
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L.E. acknowledges funding from the Helmholtz Association (Research School ESCALATE, VH-KO-613). We thank V. Grimm for discussions; M. Wu for statistical support and D. Renard for discussions and the exchange of code to make our analysis clearer and more consistent. The FAOSTAT database is maintained and regularly updated by FAO with regular support from its Member States.
The authors declare no competing interests.
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Extended data figures and tables
a–h, Effects of crop diversity (a), crop asynchrony (b), irrigation (c), nitrogen use intensity (d), temperature instability (e), precipitation instability (f), warfare (g) and time (h) on caloric production stability. Results are shown for the linear regression models including crop diversity (green), crop asynchrony (blue) and both (orange) (n = 590). Irrigation and nitrogen use intensity were back-transformed from square-root-transformation, predicted values were back-transformed from log-transformation. Predictions were calculated using the observed range of the focal predictor, while keeping all the other predictors at their mean values. Shaded areas represent 95% confidence intervals. The figure was created with the statistical software package R 3.6.110.
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Egli, L., Schröter, M., Scherber, C. et al. Crop asynchrony stabilizes food production. Nature 588, E7–E12 (2020). https://doi.org/10.1038/s41586-020-2965-6
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