A multidisciplinary approach to evaluate ecosystems resilience under climate change

The key objective of matforpat is to build up a multidisciplinary framework which, by exploiting the know-how acquired in the fields of applied mathematics, numerical analysis, computer science and ecology, aims at comprehending and predicting natural transitions more thoroughly as well as providing a qualitative and quantitative measure of the ecosystem resilience under climate change. To achieve such goals, the integrated framework gathers information arising from: satellite images, machine learning tools for pattern recognition, different mathematical models, numerical schemes, parameter identification techniques, dynamical system theory, stability analysis, ecological indicators and interpretations.

.

News: Workshop Mathematical modeling of complex biological systems

Messina - September 22-23, 2025

This workshop is related to the activities of the following two projects supported by the Italian Ministry of University and Research:

  • PRIN 2022 entitled “Modelling complex biOlogical systeMs for biofuEl productioN and sTorAge: mathematics meets green industry (MOMENTA), code PRIN_202248TY47The network involves the following teams: University of Naples “Federico II”, University of Messina and “University of Cassino and Lazio Meridionale”;
  • PNRR 2022 PNRR entitled “A multidisciplinary approach to evaluate ecosystems resilience under climate change (MATFORPAT)”, code P2022WC2ZZ. The network involves the following teams: University of Naples “Federico II”, University of Messina and “University of Campania “Luigi Vanvitelli”.

The workshop aims at gathering researchers with different backgrounds by advancing and sharing cutting-edge knowledge in mathematical modelling of complex biological systems, ordinary and partial differential equations, reaction-advection-diffusion systems, pattern formation and stability, and free-boundary problems. Particular emphasis will be given on applications in the production and storage of biofuels as well as on vegetation dynamics and ecosystems’ resilience.