Cnr-Istituto di Scienze Marine

L’Istituto di Scienze Marine del Consiglio Nazionale delle Ricerche svolge attività di ricerca fondamentale e applicata in oceanografia fisica, chimica e biologica e in geologia marina.

L’obiettivo è contribuire allo studio dei processi oceanici e della variabilità climatica, allo sviluppo di sistemi/servizi per l’osservazione, la protezione e la gestione sostenibile dell’ambiente marino e delle coste.

                               L’Istituto di Scienze Marine del Consiglio Nazionale delle Ricerche (CNR-ISMAR) svolge attività di

Ricerca Fondamentale e Applicata

in oceanografia fisica, chimica e biologica e in geologia marina con l’obiettivo di contribuire sia allo studio dei processi oceanici e della variabilità climatica che allo sviluppo di sistemi/servizi per l’osservazione, la protezione e la gestione sostenibile dell’ambiente marino e delle coste

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Dati presto disponibili

Directional and frequency spread of surface ocean waves from CFOSAT/SWIM satellite measurements

Understand and forecast ocean waves is very important for operational needs, such as navigation, coastal and offshore activities, but also for scientific needs. Indeed, ocean waves play a significant role on air-sea interactions that occur through complicated physical processes. Ocean waves are usually characterized by their significant wave height, their dominant wavelength and propagation direction. However, it is known that these principal parameters are not sufficient to fully characterize the distribution of wave energy and understand or validate the physical processes impacting its evolution during growth order decay. The SWIM instrument onboard the CFOSAT mission uses a new concept to measure ocean waves and provides very detailed information about the distribution of wave energy at the global scale. During this seminar, several parameters which quantify how the energy spreads around the dominant frequency and the dominant propagation direction of the waves will be presented as well as the Benjamin Feir Index (BFI), which characterize the probability of occurrence of extreme waves. Similarities with the MFWAM model will also be discussed.

Collegamento WEBEX:
cnronline.webex.com

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Per informazioni sulla partecipazione: gianluigi.liberti@cnr.it

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Winter School in Interdisciplinary Biodiversity

La Winter School in Interdisciplinary Biodiversity, interamente offerta in lingua inglese, punta a provvedere definizioni e strumenti per capire e gestire le diverse componenti della biodiversità, osservate da biologi, climatologi, economisti, sociologi, e altre figure professionali. 

Il programma ha luogo nella stupenda cornice della laguna veneziana, culla di una biodiversità straordinaria. I partecipanti potranno inoltre vedere da vicino il sistema MOSE e comprenderne le sue implicazioni a livello sociale, ambientale e tecnico.

Questa Winter School è organizzata dall’Università Ca’ Foscari di Venezia, in collaborazione con CNR ISMAR (Istituto di Scienze Marine), e finanziata dal National Biodiversity Future Center.

Non ci sono costi di partecipazione. Gli studenti selezionati pagheranno solo una quota d’iscrizione di €50.

Iscrizioni aperte fino al 7 novembre 2024.

Per maggiori info, visita il sito: www.unive.it/winter-biodiversity

scarica la brochure >

Next seminar

Giovedì 8 maggio ore 14:30    –    ON LINE LINK

Gian Marco Palamara, CNR-ISMAR-Roma
“Integrated Modelling for Integrative Ecology”

ABSTRACT: Ecology is a discipline with flexible boundaries, where characterizing species interactions and ecosystem responses often requires accounting for the complexity, nonlinearity, and stochastic nature of biological and environmental processes.
In this talk, I will present different ecological case studies combining experimental and theoretical approaches to explore population and community dynamics under environmental stress and spatial heterogeneity. In the first part of the talk, we analyse long-term experiments on Daphnia galeata exposed to sublethal pesticide concentrations using a stochastic, age-structured population model. Bayesian inference reveals significant treatment effects — particularly for the insecticide Diazinon — on mortality and fertility, with clone-specific responses reflecting potential adaptation. The model also accounts for strong demographic stochasticity, supporting more reliable interpretation of ecotoxicological data. In a second case study, we develop stochastic models for multi-species systems, including food webs and metacommunities. Using continuous-time Markov processes, we revisit functional response theory, predator prey equations, and finally explore biodiversity dynamics in dynamic landscapes modelled as time-varying random geometric graphs with neutral dynamics. Among other things, our findings show that fluctuating connectivity can enhance both local and regional species richness, offering new theoretical insights into spatiotemporal drivers of biodiversity.
Together, these studies demonstrate how stochastic models can reveal hidden mechanisms in ecological systems — from controlled experiments to complex landscapes.

Gian Marco Palamara was born in Rome and trained as a physicist. For over a decade, he has worked internationally at the intersection of theoretical ecology and ecological modelling, collaborating closely with empiricists to develop robust theoretical frameworks for understanding the drivers of biological diversity. More recently, Gian Marco has been exploring integrative approaches to ecology that bridge disciplinary boundaries, drawing together insights from the mathematical, natural, and social sciences.

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