Temporal variability of <scp>ENSO</scp> effects on corn yield at the central region of Argentina

Jozami, Emiliano; Bulacio, Enrique Montero; Coronel, Alejandra

doi:10.1002/joc.5154

Cited by 5 publications

(3 citation statements)

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“…Removing those trends facilitates contrasting of year-to-year yield variability and climate variations. Previous studies have partially addressed the relationship between droughts and losses on crop yields (e.g., Podestá et al, 2009;Holzman et al, 2014;Jozami et al, 2018). Our study advances the topic by providing a novel severity analysis and quantifying the link between detrended crop yield and drought indicators (SPI/SSI) during crop critical growth periods.…”

Section: Discussionmentioning

confidence: 91%

“…It also recognizes the Standardized Precipitation Index (SPI) advantages for studying meteorological droughts (Hayes et al, 2011). SPI represents a standardized precipitation anomaly and stands among the most used indices to quantify and monitor droughts (Keyantash and Dracup, 2002;Mishra et al, 2009;Hayes et al, 2011). In addition to the SPI or any precipitation index, other environmental variables may need to be included, depending on the study region's characteristics and climate (e.g., Byakatonda et al, 2018).…”

Section: Data Sets and Drought Indicesmentioning

confidence: 99%

“…The drought magnitude is defined as the average deficit of an index during the duration of the event. The drought severity (S) is equivalent to the accumulated water deficit on the event (Dracup et al, 1980), and it is defined as the magnitude times the duration, i.e., S = D × M (see Yevjevich, 1967;Keyantash and Dracup, 2002). The properties of frequency, duration, and severity of droughts are unique to the thresholds that define them.…”

Section: Definitions and Approachmentioning

confidence: 99%

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Characteristics of droughts in Argentina's core crop region

Sgroi

Lovino

Berbery

et al. 2021

Hydrol. Earth Syst. Sci.

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Abstract. This study advances the understanding and impacts of dry episodes on wheat, corn, and soybean yields over Argentina's core crop region. The production of these major crops is intense and is the main contribution to the country's gross domestic product. Our analysis focuses on the droughts' properties, including their magnitude, frequency at different timescales, duration, and severity. We analyzed 40 years of precipitation and soil moisture anomalies and their corresponding nonparametric standardized indices at timescales of 1, 3, and 6 months. The climate variables were complemented with 40 years of the crops' yield data. The percentage of drought occurrence in northeastern Argentina ranges between 12 % and 18 %, with the larger values located towards the core crop region's eastern–northeastern sector. An analysis of drought duration suggests that most cases tend to occur for periods shorter than 3 months, while a few can extend up to 1 year, and even fewer can last longer. More importantly, regardless of the duration, droughts have larger impacts during the crops' critical growth period. Corn and soybean have their critical growth periods during summer and are more sensitive to precipitation and soil moisture deficits than wheat, which has its critical growth period during spring. Quantification of the relation between the droughts' indicators during the crops' critical periods and detrended annual crop yields was performed. Large drought severity values during the crop-sensitive months result in significant crop yield losses. Results suggest that shorter-scale indicators during sensitive periods are more appropriate for predicting crop yield losses than the longer-scale indicators. This new approach can be helpful for regional decision-making systems that support planning by water managers and agricultural stakeholders.

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Section: Discussionmentioning

confidence: 91%