EGU24-1070, updated on 08 Mar 2024
https://doi.org/10.5194/egusphere-egu24-1070
EGU General Assembly 2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Understanding spatio-temporal pattern of crop diversification for India

Chanda Kumari1, Roopam Shukla1, and Stephanie Gleixner2
Chanda Kumari et al.
  • 1IIT Roorkee, IIT Roorkee, Centre of Excellence in Disaster Mitigation and Management, India (roopam.shukla@dm.iitr.ac.in)
  • 2Potsdam Institute for Climate Impact Research, University of Potsdam, Potsdam, Germany (stephanie.gleixner@pik-potsdam.de)

Abstract: Agrobiodiversity, a key principle of agroecology, encompasses crop diversification, offering resilience to climate variability (Ronnie Vernooy, 2022). Increasing crop species diversity within a region could improve agricultural sustainability, but knowledge of the spatiotemporal variation of crop species diversity and how this is related to climatic conditions is limited (Sjulgård, H., et al., 2022). Higher crop diversity may alleviate the effects of heat stress (Degani et al., 2019, Marini et al., 2020) and drought (Bowles et al., 2020, Marini et al., 2020) on crop yields. Therefore, crop diversity will play a crucial role in the functioning of agroecosystems under climate change (Sjulgård, H., et al., 2022). Hence, this study aims to investigate the relation between the spatiotemporal pattern of crop diversity and changing climatic conditions at the district level in India by building relationship between crop diversification and climatic variables. Crop species diversity was estimated using the Shannon Index. Advanced statistical analysis was used to understand the relationship between climatic variables and crop diversity. The outcome will also help the policymaker, researchers, and field practitioners in designing climate-resilient agricultural practices following the principles of agroecology.

Keywords:

Crop diversification, Shannon Index, Climate variables, Risk map, Agrobiodiversity, Agroecology, India.

Figure 1: Schematic representation of the proposed work

How to cite: Kumari, C., Shukla, R., and Gleixner, S.: Understanding spatio-temporal pattern of crop diversification for India, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-1070, https://doi.org/10.5194/egusphere-egu24-1070, 2024.