Manuel Matías

IFISC (CSIC-UIB)
Campus Universitat de les Illes Balears
E-07122 Palma de Mallorca. Spain
Despacho 211
+34 971 17 33 83

Contact
Página web: http://ifisc.uib-csic.es/~manuel

Perfil

UIB page: https://www.uib.eu/personal/ABjIwOTgxOQ/

Publicaciones recientes

Universal spatial properties of coral reefs

Giménez-Romero, Àlex; Matías, Manuel A.; Duarte, Carlos M.
Submitted (2023)

A compartmental model for Xylella fastidiosa diseases with explicit vector seasonal dynamics

Giménez-Romero, Àlex; Moralejo, Eduardo; Matias, Manuel A.
Phytopathology 113, 1686-1696 (2023)

Age of infection disease modeling: from Kermack and McKendrick to multi-compartment models

Bousakla El Boujdaini, Mustapha (supervisors: Matias, Manuel A.; Giménez-Romero, Alex)
Master Thesis (2023)

Contrasting Patterns of Pierce’s Disease Risk in European Vineyards Under Global Warming

Giménez-Romero, Àlex; Iturbide, Maialen; Moralejo, Eduardo; Gutiérrez, José M.; Matías, Manuel A.
Submitted (2023)

Degree-day-based model to predict egg hatching of Philaenus spumarius (Hemiptera: Aphrophoridae), the main vector of Xylella fastidiosa in Europe

Lago, Clara; Giménez-Romero, Àlex; Morente, Marina; Matías, Manuel A.; Moreno, Aránzazu; Fereres, Alberto
Environmental Entomology 52, 350–359 (2023)

Proyectos de investigación vigentes

Ocean Citizen

Marine forest coastal restoration: an underwater gardening socio-ecological plan

I.P.: Damià Gomila

Following the non-achievement of the AICHI targets and most of the Good Environmental Status objectives for 2020, active restoration has been emerged (also envisaged by the EU) as one of the preferred ...

CYCLE

Complex DYnamics of CoastaL Ecosystems: Resilience to Climate Change. Modelling and Simulations.

I.P.: Damià Gomila, Tomás Sintes

Complex Dynamics of Coastal Ecosystems: Resilience to Climate Change (CYCLE) is a coordinated multidisciplinary research project that brings together the efforts of experts in the fields of marine ecology and the physics ...

SEDIMENT

SEagrass DIversity in the MEditerranean basin in a global change scenario: a machine learNing approach from saTellite images

I.P.: Manuel Matías, Tomás Sintes

The main challenge of this project is to correlate the changes in the sea surface temperature (SST) in the Mediterranean basin with the spatial distribution and size of different seagrass species. We ...