Joint multiscale dynamics in soil–vegetation–atmosphere systems: Multifractal cross‐correlation analysis of arid and semiarid rangelands

Vadose Zone Journal, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 3, 2024

Abstract Understanding the dynamics of soil–vegetation–atmosphere (SVA) system, particularly in arid and semiarid regions, remains challenging due to its intricate interdependent nature. This system creates problems for rangeland administration, such as insurance risk management. paper focuses on complex interactions within SVA ecosystems Spain's regions. By employing multifractal detrended cross‐correlation analysis (MFCCA), we explore joint behavior key variables, including precipitation (PCP), evapotranspiration (ETP), aridity index (Arid. I.), soil water availability (SWA), biomass (Bio), normalized difference vegetation (NDVI). Analyzing a 20‐year data series from Madrid Almeria provinces, reveal distinct patterns studied variables’ persistence, multifractality, asymmetry. Notably, differences generalized Hurst exponents (( q )) between SWA with NDVI, Bio, NDVI Bio underscore these Moreover, analyses unveil complexity behaviors two exhibits higher multifractality across indicating more variable environmental interactions, likely conditions. These findings suggest that has sensitivity changes, requiring adaptive management strategies, while Madrid, related variables play dominant role driving dynamics. shed light through MFCCA nuanced emphasizing importance considering complexity‐based approaches understand interplay among system.

Language: Английский

---

Nonlocal delay gives rise to vegetation patterns in a vegetation-sand model

Mathematical Biosciences & Engineering, Journal Year: 2024, Volume and Issue: 21(3), P. 4521 - 4553

Published: Jan. 1, 2024

<abstract><p>The vegetation pattern generated by aeolian sand movements is a typical type of patterns in arid and semi-arid areas. This paper presents vegetation-sand model with nonlocal interaction characterized an integral term kernel function. The instability the Turing was analyzed conditions stable occurrence were obtained. At same time, multiple scales method applied to obtain amplitude equations at critical value bifurcation. spatial distributions under different delays obtained numerical simulation. results revealed that biomass increased as intensity decreased or distance increased. We demonstrated between crucial mechanism for forming patterns, which provides theoretical basis preserving restoring vegetation.</p></abstract>

Language: Английский

---

Bifurcations analysis and pattern formation in a plant-water model with nonlocal grazing

Nonlinear Dynamics, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 17, 2024

Language: Английский

---

Unravelling the spatial structure of regular dryland vegetation patterns

CATENA, Journal Year: 2024, Volume and Issue: 247, P. 108442 - 108442

Published: Nov. 16, 2024

Language: Английский

---

Global perspectives linking climate change with vegetation pattern

Physics of Life Reviews, Journal Year: 2023, Volume and Issue: 47, P. 119 - 121

Published: Oct. 10, 2023

Language: Английский

---