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Comparison of meteorological and satellite-based drought indices as yield predictors of Spanish cereals

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  • García-León, David
  • Contreras, Sergio
  • Hunink, Johannes

Abstract

In the context of global warming, as drought episodes become increasingly frequent, it is crucial to accurately measure the impacts of droughts on the overall performance of agrosystems. This study aims to compare the effectiveness of meteorological drought indices against satellite-based agronomical drought indices as crop yield explanatory factors in statistical models calibrated at a local scale. The analysis is conducted in Spain using a spatially detailed, 12-year (2003–2015) dataset on crop yields, including different types of cereals. Yields and drought indices were spatially aggregated at the agricultural district level. The Standardised Precipitation Index (SPI), computed at different temporal aggregation levels, and two satellite-based drought indices, the Vegetation Condition Index (VCI) and the Temperature Condition Index (TCI), were used to characterise the dynamics of drought severity conditions in the study area. Models resting on satellite-based indices showed higher performance in explaining yield levels as well as yield anomalies for all the crops evaluated. In particular, VCI/TCI models of winter wheat and barley were able to explain 70% and 40% of annual crop yield level and crop yield anomaly variability, respectively. We also observed gains in explanatory power when models for climate zones (instead of models at the national scale) were considered. All the results were cross-validated on subsamples of the whole dataset and on models fitted to individual agricultural districts and their predictive accuracy was assessed with a real-time forecasting exercise. Results from this study highlight the potential for including satellite-based drought indices in agricultural decision support systems (e.g. agricultural drought early warning systems, crop yield forecasting models or water resource management tools) complementing meteorological drought indices derived from precipitation grids.

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  • García-León, David & Contreras, Sergio & Hunink, Johannes, 2019. "Comparison of meteorological and satellite-based drought indices as yield predictors of Spanish cereals," Agricultural Water Management, Elsevier, vol. 213(C), pages 388-396.
    • Handle: RePEc:eee:agiwat:v:213:y:2019:i:c:p:388-396
    DOI: 10.1016/j.agwat.2018.10.030
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    Cited by:

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    2. García-León, David & Standardi, Gabriele & Staccione, Andrea, 2021. "An integrated approach for the estimation of agricultural drought costs," Land Use Policy, Elsevier, vol. 100(C).
    3. Glauciene Justino Ferreira da Silva & Nádja Melo Oliveira & Celso Augusto Guimarães Santos & Richarde Marques Silva, 2020. "Spatiotemporal variability of vegetation due to drought dynamics (2012–2017): a case study of the Upper Paraíba River basin, Brazil," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 102(3), pages 939-964, July.
    4. Ludwik Wicki & Hanna Dudek, 2019. "Factors influencing cereals yield in Polish agriculture," Economia agro-alimentare, FrancoAngeli Editore, vol. 21(3), pages 793-806.
    5. Cao, Meng & Chen, Min & Liu, Ji & Liu, Yanli, 2022. "Assessing the performance of satellite soil moisture on agricultural drought monitoring in the North China Plain," Agricultural Water Management, Elsevier, vol. 263(C).
    6. Araneda-Cabrera, Ronnie J. & Bermúdez, María & Puertas, Jerónimo, 2021. "Assessment of the performance of drought indices for explaining crop yield variability at the national scale: Methodological framework and application to Mozambique," Agricultural Water Management, Elsevier, vol. 246(C).
    7. Wu, Bingfang & Ma, Zonghan & Boken, Vijendra K. & Zeng, Hongwei & Shang, Jiali & Igor, Savin & Wang, Jinxia & Yan, Nana, 2022. "Regional differences in the performance of drought mitigation measures in 12 major wheat-growing regions of the world," Agricultural Water Management, Elsevier, vol. 273(C).
    8. Abdol Rassoul Zarei & Marzieh Mokarram & Mohammad Reza Mahmoudi, 2023. "Comparison of the capability of the Meteorological and Remote Sensing Drought Indices," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(2), pages 769-796, January.

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