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

Abstract

This study focuses on developing an early warning system for crop yield (CY) failure based on meteorological drought and vegetation health conditions. The framework combines three drought indices of Standardized Precipitation-Evapotranspiration Index (SPEI), standardized Normalized Difference Vegetation Index (stdNDVI), and standardized CY (stdCY) values, using copulas. The datasets of five major wheat-producing cities in Turkey between the years 2000-2022 are used for analysis. Results indicate that the time periods used to calculate SPEI and NDVI indices 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 three-dimensional copula model resulted in more precise CY simulations than 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.