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

• Published in: Hydrological sciences journal Vol. 69; no. 5; pp. 592 - 606
• Main Authors: Afshar, Mehdi H., Şorman, Ali Unal, Tosunoglu, Fatih
• Format: Journal Article
• Language: English
• Published: Abingdon Taylor & Francis 03.04.2024; Taylor & Francis Ltd
• Subjects: Agricultural drought; copula; Crop yield; Drought; Drought index; Early warning systems; Environmental impact; Evapotranspiration; Evapotranspiration-precipitation relationships; NDVI; Normalized difference vegetative index; SPEI; Three dimensional models; Two dimensional models; Vegetation; vegetation health; Vegetation index
• ISSN: 0262-6667; 2150-3435
• DOI: 10.1080/02626667.2024.2326187

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.