Intermittent percolation and the scale-free distribution of vegetation clusters

Understanding the causes and effects of spatial vegetation patterns is a fundamental problem in ecology, especially because these can be used as early predictors of catastrophic shifts such as desertification processes. Empirical studies of the vegetation cover in some areas such as drylands and sem...

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Main Authors: Paula Villa Martín, Virginia Domínguez-García, Miguel A Muñoz
Format: Article
Language:English
Published: IOP Publishing 2020-01-01
Series:New Journal of Physics
Subjects:
Online Access:https://doi.org/10.1088/1367-2630/ab9f6e
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author Paula Villa Martín
Virginia Domínguez-García
Miguel A Muñoz
author_facet Paula Villa Martín
Virginia Domínguez-García
Miguel A Muñoz
author_sort Paula Villa Martín
collection DOAJ
description Understanding the causes and effects of spatial vegetation patterns is a fundamental problem in ecology, especially because these can be used as early predictors of catastrophic shifts such as desertification processes. Empirical studies of the vegetation cover in some areas such as drylands and semiarid regions have revealed the existence of vegetation patches of broadly diverse sizes. In particular, the probability distribution of patch sizes can be fitted by a power law, i.e. vegetation patches are approximately scale free up to some maximum size. Different explanatory mechanisms, such as plant–plant interactions and plant-water feedback loops have been proposed to rationalize the emergence of such scale-free patterns, yet a full understanding has not been reached. Using a simple model for vegetation dynamics, we show that environmental temporal variability—a well-recognized feature of semiarid environments—promotes in a robust way (i.e. for a wide range of parameter values) the emergence of vegetation patches with broadly distributed cluster sizes. Furthermore, this result is related to a percolation phenomenon that occurs in an intermittent or fluctuating way. The model also reveals that the power-law exponents fitting the tails of the probability distributions depend on the overall vegetation-cover density, in agreement with empirical observations. This supports the idea that environmental variability plays a key role in the formation of scale-free vegetation patterns. From a practical viewpoint, this may be of importance to predict the effects that changes in environmental conditions may have in real ecosystems. From a theoretical side, our study sheds new light on a novel type of percolation phenomena occurring under temporally-varying external conditions, that still needs further work to be fully characterized.
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spelling doaj.art-08209709f7044f02a007a7069e4619ea2023-08-08T15:24:59ZengIOP PublishingNew Journal of Physics1367-26302020-01-0122808301410.1088/1367-2630/ab9f6eIntermittent percolation and the scale-free distribution of vegetation clustersPaula Villa Martín0Virginia Domínguez-García1Miguel A Muñoz2Biological Complexity Unit, Okinawa Institute for Science and Technology and Graduate University , Onna, Okinawa 904-0495, JapanISEM, CNRS, Univ Montpellier , EPHE, IRD, 34095 Montpellier, FranceDepartamento de Electromagnetismo y Física de la Materia and Instituto Carlos I de Física Teórica y Computacional, Universidad de Granada , Granada E-18071, SpainUnderstanding the causes and effects of spatial vegetation patterns is a fundamental problem in ecology, especially because these can be used as early predictors of catastrophic shifts such as desertification processes. Empirical studies of the vegetation cover in some areas such as drylands and semiarid regions have revealed the existence of vegetation patches of broadly diverse sizes. In particular, the probability distribution of patch sizes can be fitted by a power law, i.e. vegetation patches are approximately scale free up to some maximum size. Different explanatory mechanisms, such as plant–plant interactions and plant-water feedback loops have been proposed to rationalize the emergence of such scale-free patterns, yet a full understanding has not been reached. Using a simple model for vegetation dynamics, we show that environmental temporal variability—a well-recognized feature of semiarid environments—promotes in a robust way (i.e. for a wide range of parameter values) the emergence of vegetation patches with broadly distributed cluster sizes. Furthermore, this result is related to a percolation phenomenon that occurs in an intermittent or fluctuating way. The model also reveals that the power-law exponents fitting the tails of the probability distributions depend on the overall vegetation-cover density, in agreement with empirical observations. This supports the idea that environmental variability plays a key role in the formation of scale-free vegetation patterns. From a practical viewpoint, this may be of importance to predict the effects that changes in environmental conditions may have in real ecosystems. From a theoretical side, our study sheds new light on a novel type of percolation phenomena occurring under temporally-varying external conditions, that still needs further work to be fully characterized.https://doi.org/10.1088/1367-2630/ab9f6escale invariancepower lawspercolationspatial patternsmultiplicative noise
spellingShingle Paula Villa Martín
Virginia Domínguez-García
Miguel A Muñoz
Intermittent percolation and the scale-free distribution of vegetation clusters
New Journal of Physics
scale invariance
power laws
percolation
spatial patterns
multiplicative noise
title Intermittent percolation and the scale-free distribution of vegetation clusters
title_full Intermittent percolation and the scale-free distribution of vegetation clusters
title_fullStr Intermittent percolation and the scale-free distribution of vegetation clusters
title_full_unstemmed Intermittent percolation and the scale-free distribution of vegetation clusters
title_short Intermittent percolation and the scale-free distribution of vegetation clusters
title_sort intermittent percolation and the scale free distribution of vegetation clusters
topic scale invariance
power laws
percolation
spatial patterns
multiplicative noise
url https://doi.org/10.1088/1367-2630/ab9f6e
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