A stochastic approach for Recovery Times of Coastal Dune Vegetation
Davide DemichelePolytechnic University of TurinCarlo CamporealePolitecnico di TORINO
Zenodo (CERN European Organization for Nuclear Research)repository2026
ABI
Abstract
Matlab scripts and datasets used to generate the results presented in the publication "A stochastic approach for Recovery Times of Coastal Dune Vegetation". The study introduces a novel analytical formulation to quantify coastal vegetation recovery time, defined as the time required to transition from a degraded to an optimal state. The approach is based on a minimal stochastic model that captures environmental variability while remaining computationally efficient. The framework links recovery dynamics to wind forcing, dune morphology, and species-specific traits.
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