Implications of Agricultural Practices on Vegetation and Terrestrial Invertebrates in Riparian Zone: A Nonlinear Modelling Study

Vaishnudebi Dutta, Abhinav Tandon*

*Corresponding author for this work

Research output: Contribution to journalArticle (Academic Journal)peer-review

Abstract

Uncontrolled land-use owing to agricultural practices has not only resulted in depletion of vegetation, but has also worsened the habitat of terrestrial invertebrates living in riparian zones. With these dynamic interactions in mind, a nonlinear model is developed using a set of differential equations, including riparian vegetation, terrestrial invertebrates, and agricultural production as system variables. The model is based on the notion that terrestrial invertebrates totally depend on riparian vegetation for their survival and utilization of riparian zones for agricultural purposes not only cause the loss of riparian vegetation, but of terrestrial invertebrates as well. The generated differential-equation system is examined for equilibrium solutions, their existences and stabilities. The mathematical analysis demonstrates the conditions under which agricultural production, riparian vegetation, and terrestrial invertebrates can coexist and create a stable system. These intuitive conclusions are supported by quantitative results using numerical simulation and differential sensitivity analysis. The qualitative as well as quantitative findings suggest that excessive utilization of forested riparian land for agricultural practices may cause destabilization of the system and therefore, they should be put under check in riparian zones.
Original languageEnglish
Article number268
Number of pages22
JournalInternational Journal of Applied and Computational Mathematics
Volume8
Issue number5
Early online date30 Sept 2022
DOIs
Publication statusPublished - 1 Oct 2022

Bibliographical note

Publisher Copyright:
© 2022, The Author(s), under exclusive licence to Springer Nature India Private Limited.

Keywords

  • Agriculture
  • Differential equation
  • Mathematical model
  • Riparian vegetation
  • Sensitivity analysis
  • Stability analysis

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