A Mathematical Analysis of Wind-Driven Bottom-Up Interactions in a Plant–Ungulate–Wolf Ecosystem

Understanding how abiotic influences affect organisms and their interactions within ecological communities has long been of interest to ecologists. The significance of this comprehension has increased given rapid human-induced climate change. Wind speed variation is one of the less researched effects of climate change, as wind speeds worldwide are generally falling. Although wind is a fairly universal component of the environment, relatively little work has been conducted to integrate our knowledge of how wind affects interactions between different species. In this study, the influence of wind on bottom-up trophic interactions in the plant–ungulate–wolf food chain has been investigated through mathematical modeling. Positivity and boundedness of the model have been proven, and the existence of equilibrium points and their stability have been established. Saddle-node, transcritical, and Hopf bifurcations are discussed. Finally, all theoretical results are confirmed by numerical simulations.