TY - JOUR
T1 - Analysis and numerical simulations of travelling waves due to plant-soil negative feedback
AU - Iuorio, Annalisa
AU - Salvatori, Nicole
AU - Toraldo, Gerardo
AU - Giannino, Francesco
N1 - Funding Information:
AI acknowledges support from an FWF Hertha Firnberg Research Fellowship (T 1199-N) and is a member of Gruppo Nazionale per la Fisica Matematica, Istituto Nazionale di Alta Matematica (INdAM). FG and GT are members of Gruppo Nazionale per il Calcolo Scientifico, Istituto Nazionale di Alta Matematica (INdAM). GT was supported by the PRIN grant (Bando 2022) Numerical Optimization with Adaptive Accuracy and Applications to Machine Learning (Prot. 2022N3ZNAX).
Publisher Copyright:
© The Author(s), 2023. Published by Cambridge University Press.
PY - 2023/12
Y1 - 2023/12
N2 - In this work, we carry out an analytical and numerical investigation of travelling waves representing arced vegetation patterns on sloped terrains. These patterns are reported to appear also in ecosystems which are not water deprived; therefore, we study the hypothesis that their appearance is due to plant-soil negative feedback, namely due to biomass-(auto)toxicity interactions. To this aim, we introduce a reaction-diffusion-advection model describing the dynamics of vegetation biomass and toxicity which includes the effect of sloped terrains on the spatial distribution of these variables. Our analytical investigation shows the absence of Turing patterns, whereas travelling waves (moving uphill in the slope direction) emerge. Investigating the corresponding dispersion relation, we provide an analytic expression for the asymptotic speed of the wave. Numerical simulations not only just confirm this analytical quantity but also reveal the impact of toxicity on the structure of the emerging travelling pattern. Our analysis represents a further step in understanding the mechanisms behind relevant plants"spatial distributions observed in real life. In particular, since vegetation patterns (both stationary and transient) are known to play a crucial role in determining the underlying ecosystems' resilience, the framework presented here allows us to better understand the emergence of such structures to a larger variety of ecological scenarios and hence improve the relative strategies to ensure the ecosystems' resilience.
AB - In this work, we carry out an analytical and numerical investigation of travelling waves representing arced vegetation patterns on sloped terrains. These patterns are reported to appear also in ecosystems which are not water deprived; therefore, we study the hypothesis that their appearance is due to plant-soil negative feedback, namely due to biomass-(auto)toxicity interactions. To this aim, we introduce a reaction-diffusion-advection model describing the dynamics of vegetation biomass and toxicity which includes the effect of sloped terrains on the spatial distribution of these variables. Our analytical investigation shows the absence of Turing patterns, whereas travelling waves (moving uphill in the slope direction) emerge. Investigating the corresponding dispersion relation, we provide an analytic expression for the asymptotic speed of the wave. Numerical simulations not only just confirm this analytical quantity but also reveal the impact of toxicity on the structure of the emerging travelling pattern. Our analysis represents a further step in understanding the mechanisms behind relevant plants"spatial distributions observed in real life. In particular, since vegetation patterns (both stationary and transient) are known to play a crucial role in determining the underlying ecosystems' resilience, the framework presented here allows us to better understand the emergence of such structures to a larger variety of ecological scenarios and hence improve the relative strategies to ensure the ecosystems' resilience.
KW - autotoxicity
KW - numerical simulations
KW - reaction-diffusion-advection
KW - Travelling waves
KW - vegetation patterns
UR - http://www.scopus.com/inward/record.url?scp=85180981557&partnerID=8YFLogxK
U2 - 10.1017/S0956792523000323
DO - 10.1017/S0956792523000323
M3 - Article
AN - SCOPUS:85180981557
SN - 0956-7925
JO - European Journal of Applied Mathematics
JF - European Journal of Applied Mathematics
ER -