title: Early warning signals of desertification transitions in semiarid ecosystems.
abstract: The identification of early warning signals for regime shifts in ecosystems is of crucial importance given their impact in terms of economic and social effects. We present here the results of a theoretical study on the desertification transition in semiarid ecosystems under external stress. We performed numerical simulations based on a stochastic cellular automaton model, and we studied the dynamics of the vegetation clusters in terms of percolation theory, assumed as an effective tool for analyzing the geometrical properties of the clusters. Focusing on the role played by the strength of external stresses, measured by the mortality rate m, we followed the progressive degradation of the ecosystem for increasing m, identifying different stages: first, the fragmentation transition occurring at relatively low values of m, then the desertification transition at higher mortality rates, and finally the full desertification transition corresponding to the extinction of the vegetation and the almost complete degradation of the soil, attained at the maximum value of m. For each transition we calculated the spanning probabilities as functions of m and the percolation thresholds according to different spanning criteria. The identification of the different thresholds is proposed as an useful tool for monitoring the increasing degradation of real-world finite-size systems. Moreover, we studied the time fluctuations of the sizes of the biggest clusters of vegetated and nonvegetated cells over the entire range of mortality values. The change of sign in the skewness of the size distributions, occurring at the fragmentation threshold for the biggest vegetation cluster and at the desertification threshold for the nonvegetated cluster, offers new early warning signals for desertification. Other new and robust indicators are given by the maxima of the root-mean-square deviation of the distributions, which are attained respectively inside the fragmentation interval, for the vegetated biggest cluster, and inside the desertification interval, for the nonvegetated cluster.
authors.affiliation: PhD School on Climate Change Sciences, University of Salento, I-73100 Lecce, Italy.
authors.forename: Raffaele
authors.initials: R
authors.lastname: Corrado
authors.affiliation: Dipartimento di Matematica e Fisica "Ennio De Giorgi," University of Salento, I-73100 Lecce, Italy.
authors.forename: Anna Maria
authors.initials: AM
authors.lastname: Cherubini
authors.affiliation: Dipartimento di Matematica e Fisica "Ennio De Giorgi," University of Salento, I-73100 Lecce, Italy and Istituto Nazionale di Fisica Nucleare (INFN), Italy.
authors.forename: Cecilia
authors.initials: C
authors.lastname: Pennetta
mesh_terms: D057231:Climate Change; D003247:Conservation of Natural Resources; D055864:Droughts; D017753:Ecosystem; D008962:Models, Theoretical; D011336:Probability; D013269:Stochastic Processes