Preprints
https://doi.org/10.5194/egusphere-2023-2622
https://doi.org/10.5194/egusphere-2023-2622
21 Nov 2023
 | 21 Nov 2023

Influence of irrigation on root zone storage capacity estimation

Fransje van Oorschot, Ruud J. van der Ent, Andrea Alessandri, and Markus Hrachowitz

Abstract. Vegetation plays a crucial role in regulating the water cycle through transpiration, which is the water flux from the subsurface to the atmosphere via vegetation roots. The amount and timing of transpiration is controlled by the interplay of seasonal energy and water supply. The latter strongly depends on the size of the root zone storage capacity (Sr) which represents the maximum accessible volume of water that vegetation can use for transpiration. Sr is primarily influenced by hydro-climatic conditions as vegetation optimizes its root system in a way it can guarantee water uptake and overcome dry periods. Sr estimates are commonly derived from root zone water deficits that result from the phase shift between the seasonal signals of root zone water inflow (i.e., precipitation) and outflow (i.e., evaporation). In irrigated croplands, irrigation water serves as an additional input into the root zone. However, this aspect has been ignored in many studies, and the extent to which irrigation influences Sr estimates was never comprehensively quantified. In this study, our objective is to quantify the influence of irrigation on Sr and identify the regional differences therein. To this aim, we integrated two irrigation methods, based on irrigation water use and irrigated area fractions, respectively, into the Sr estimation. We evaluated the effects in comparison to Sr estimates that do not consider irrigation for a sample of 4511 catchments globally with varying degrees of irrigation activities. Our results show that Sr consistently decreased when considering irrigation with a larger effect in catchments with a larger irrigated area. For catchments with an irrigated area fraction exceeding 10 %, the median decrease of Sr was 17 mm and 22 mm for the two methods, corresponding to 12 % and 17 %, respectively. Sr decreased the most for catchments in tropical climates. However, the relative decrease was the largest in catchments in temperate climates. Our results demonstrate, for the first time, that irrigation has a considerable influence on Sr estimates over irrigated croplands. This effect is as strong as the effects of snow melt that were previously documented in catchments that have a considerable amount of precipitation falling as snow.

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Fransje van Oorschot, Ruud J. van der Ent, Andrea Alessandri, and Markus Hrachowitz

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2023-2622', Anonymous Referee #1, 17 Jan 2024
    • AC1: 'Reply on RC1', Fransje van Oorschot, 15 Mar 2024
  • RC2: 'Comment on egusphere-2023-2622', Anonymous Referee #2, 21 Feb 2024
    • AC2: 'Reply on RC2', Fransje van Oorschot, 15 Mar 2024

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2023-2622', Anonymous Referee #1, 17 Jan 2024
    • AC1: 'Reply on RC1', Fransje van Oorschot, 15 Mar 2024
  • RC2: 'Comment on egusphere-2023-2622', Anonymous Referee #2, 21 Feb 2024
    • AC2: 'Reply on RC2', Fransje van Oorschot, 15 Mar 2024
Fransje van Oorschot, Ruud J. van der Ent, Andrea Alessandri, and Markus Hrachowitz
Fransje van Oorschot, Ruud J. van der Ent, Andrea Alessandri, and Markus Hrachowitz

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Short summary
Vegetation plays a crucial role in regulating the water cycle by transporting water from the subsurface to the atmosphere via vegetation roots, which depends on the extent of the vegetation root system. In this study we quantified the effect of irrigation on the vegetation roots globally. Our results emphasize the importance of accounting for irrigation in estimating the root extent of vegetation, which is essential to adequately represent the water cycle in hydrological and climate models.