Climate change impact on crop stress and food security in a semi-arid river basin

Author:

Sharma Alka1,Patel Prem Lal1,Sharma Priyank J.2

Affiliation:

1. a Department of Civil Engineering, Sardar Vallabhbhai National Institute of Technology, Surat 395007, India

2. b Department of Civil Engineering, Indian Institute of Technology Indore, Indore 453552, India

Abstract

Abstract This investigation explores the spatio-temporal variations of aridity across the Sabarmati River basin (SRB), India, using rainfall and temperature datasets for the baseline (1951–2019) and future (2020–2100) periods. The projected changes are analysed using a multi-model ensemble of five general circulation models under two representative concentration pathways (RCPs). The long-term variation and dependency between the aridity index (AI) and other climate indices are explored. Further, the sensitivity of Kharif and Rabi crops to atmospheric warming is investigated using anthesis heat stress (AHS) at the district level. The results project increased rainfall and temperature at the end of the 21st century. The projected rise in AI denotes a transition from semi-arid to sub-humid conditions in parts of the SRB, particularly the southern SRB. However, AI shows a stronger positive association with rainfall compared to temperature, which drives the basin towards moisture-sufficient conditions. High to very high AHS levels are noted for the Kharif and Rabi crops in all the districts. The escalating severe temperature episodes during RCP8.5 may significantly impact crop stress and food security in the SRB. Thus, there is a need to adopt resilient agricultural practices to overcome the negative impact of increasing temperatures in the future.

Funder

Ministry of Jal Shakti

Publisher

IWA Publishing

Subject

Management, Monitoring, Policy and Law,Pollution,Water Science and Technology,Ecology,Civil and Structural Engineering,Environmental Engineering

Reference70 articles.

1. Multi-model ensemble predictions of precipitation and temperature using machine learning algorithms

2. How Do We Improve Crop Production in a Warming World?

3. Vulnerable Populations Perceive Their Health as at Risk from Climate Change

4. Allen R. G., Pereira L. S., Raes D. & Smith M. 1998 Crop evapotranspiration-guidelines for computing crop water requirements-FAO irrigation and drainage paper 56. Fao, Rome 300 (9), D05109.

5. Amarasinghe U., Sharma B. R., Aloysius N., Scott C., Smakhtin V. & De Fraiture C. 2005 Spatial variation in water supply and demand across river basins of India (83). IWMI.

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