Three-dimensional copula framework for early warning of agricultural droughts using meteorological drought and vegetation health conditions

ABSTRACT

This study develops an early warning system for crop yield (CY) failure based on meteorological drought and vegetation health conditions. The framework combines three drought indices – the Standardized Precipitation Evapotranspiration Index (SPEI), standardized Normalized Difference Vegetation Index (stdNDVI), and standardized CY (stdCY) values – using copulas. Datasets for five major wheat-producing cities in Turkey between 2000 and 2022 are used for analysis. Results indicate that the time periods used to calculate SPEI and NDVI are critical in determining agricultural drought and CY conditions. The critical threshold values for SPEI and NDVI, with a 10% probability of causing agricultural drought, are found to be ~0.28 and ~0.42, respectively. Using a three-dimensional copula model resulted in more precise CY simulations than a two-dimensional model. The validation efforts showed that all of the observed CYs fell within the simulated range, indicating the robustness of the methodology in capturing drought impacts on CY conditions.

KEYWORDS:

• Drought
• crop yield
• SPEI
• NDVI
• vegetation health
• copula

Editor K. Soulis; Associate Editor G. Mascaro

Editor K. Soulis; Associate Editor G. Mascaro

Acknowledgements

We thank the Turkish Statistical Institute for the wheat CY values, ECMWF for the ERA5 datasets, the ESA Climate Change Initiative Consortium for the land cover classification, and the Land Processes Distributed Active Archive Center (LP DAAC; “lpdaac.usgs.gov”) for providing access to the MODIS data used in this study.

Disclosure statement

No potential conflict of interest was reported by the author(s).