A soil water based index as a suitable agricultural drought indicator

• Published in: Journal of hydrology (Amsterdam) Vol. 522; pp. 265 - 273
• Main Authors: Martínez-Fernández, J., González-Zamora, A., Sánchez, N., Gumuzzio, A.
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01-03-2015
• Subjects: Agronomy; Available water content; Drought; Droughts; Estimators; Field capacity; Hydrology; Indicators; Monitoring; Seasons; Soil (material); Soil moisture; Wilting point; Spain; Available water content; Drought; Wilting point; Soil moisture; Field capacity
• ISSN: 0022-1694; 1879-2707
• DOI: 10.1016/j.jhydrol.2014.12.051

•A soil water index for agricultural drought monitoring is proposed and tested.•The SWDI has been satisfactory tested at daily and weekly scales.•SWDI parameters can easily estimated from long-term soil water series.
Currently, the availability of soil water databases is increasing worldwide. The presence of a growing number of long-term soil moisture networks around the world and the impressive progress of remote sensing in recent years has allowed the scientific community and, in the very next future, a diverse group of users to obtain precise and frequent soil water measurements. Therefore, it is reasonable to consider soil water observations as a potential approach for monitoring agricultural drought. In the present work, a new approach to define the soil water deficit index (SWDI) is analyzed to use a soil water series for drought monitoring. In addition, simple and accurate methods using a soil moisture series solely to obtain soil water parameters (field capacity and wilting point) needed for calculating the index are evaluated. The application of the SWDI in an agricultural area of Spain presented good results at both daily and weekly time scales when compared to two climatic water deficit indicators (average correlation coefficient, R, 0.6) and to agricultural production. The long-term minimum, the growing season minimum and the 5th percentile of the soil moisture series are good estimators (coefficient of determination, R2, 0.81) for the wilting point. The minimum of the maximum value of the growing season is the best estimator (R2, 0.91) for field capacity. The use of these types of tools for drought monitoring can aid the better management of agricultural lands and water resources, mainly under the current scenario of climate uncertainty.