Using soil-moisture drought indices to evaluate key indicators of agricultural drought in semi-arid Mediterranean Southern Africa.

Drought Hydrological change Rainfall/runoff modelling Soil Moisture Deficit Index

Journal

The Science of the total environment
ISSN: 1879-1026
Titre abrégé: Sci Total Environ
Pays: Netherlands
ID NLM: 0330500

Informations de publication

Date de publication:
15 Mar 2022
Historique:
received: 03 08 2021
revised: 01 12 2021
accepted: 12 12 2021
pubmed: 24 12 2021
medline: 3 2 2022
entrez: 23 12 2021
Statut: ppublish

Résumé

Droughts are natural disasters that globally affect large numbers of people each year. While different forms of drought exist, their severity and extent are dependent on critical points of onset. Understanding these onsets is crucial for water, food and energy security, as well as to develop climate change adaptation strategies. This study used the JAMS/J2000 hydrological model to detect agricultural drought using the Soil Moisture Deficit Index (SMDI). The Berg River catchment in Mediterranean South Africa was used as the pilot study area, which experienced a severe drought between 2015 and 2018 and where meteorological drought progressed into agricultural drought that resulted in significant crop reductions and job losses within the agricultural sector. To combat the effects of meteorological shortfalls, water resource management opted to curb agricultural reservoir releases, forcing farmers to rely on groundwater. Modelling results illustrated the importance of detecting headwater stress within the catchment, where in 2015/2017 headwater areas were affected for the first time over the 35-year simulation. Furthermore, regional changes to the groundwater system, during which severe to extremely severe SMDI values (-3 to -4) were simulated, is postulated to be caused by wide-spread groundwater overuse resulting in a 47% reduction in winter (JJA) and a 68% reduction in spring (SON) streamflow. Immediate streamflow reductions were observed, illustrating the low resilience of these systems to meteorological and agricultural droughts, as well as the impacts of water use behavioural changes. By using SMDI in conjunction with a well constrained hydrological model, crucial drought onset triggers can be detected as well as tipping points regarding water use behaviour. As climate change drives an increase in the occurrence of meteorological droughts in many parts of the world, understanding the advance of severe long-term effects is important for the development of effective adaption strategies to promote water, food and energy security.

Identifiants

pubmed: 34942252
pii: S0048-9697(21)07542-2
doi: 10.1016/j.scitotenv.2021.152464
pii:
doi:

Substances chimiques

Soil 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

152464

Informations de copyright

Copyright © 2021 Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Andrew Watson (A)

Stellenbosch University Water Institute, Stellenbosch University, Private Bag X1, Matieland 7602, South Africa. Electronic address: awatson@sun.ac.za.

Jodie Miller (J)

Department of Earth Sciences, Stellenbosch University, Private Bag X1, Matieland 7602, South Africa.

Annika Künne (A)

Institute of Geography, Friedrich Schiller University Jena, Loebdergraben 32, 07743 Jena, Germany.

Sven Kralisch (S)

Institute of Geography, Friedrich Schiller University Jena, Loebdergraben 32, 07743 Jena, Germany.

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