Maria Grazia Pennino

Species distribution modeling: a statistical review with focus in spatio-temporal issues

David Conesa, Michela Cameletti, Joaquín Martínez-Minaya, 2018, Stochastic Environmental Research and Risk Assessment.

Fishery-dependent and -independent data lead to consistent estimations of essential habitats

Facundo Muñoz, David Conesa, Maria Grazia Pennino, 2016 .

Identifying the best fishing-suitable areas under the new European discard ban

David Conesa, Maria Grazia Pennino, Iosu Paradinas, 2016 .

Discard ban: A simulation-based approach combining hierarchical Bayesian and food web spatial models

Maria Grazia Pennino, Marta Coll, Jeroen Steenbeek, 2020 .

Using a Bayesian modelling approach (INLA-SPDE) to predict the occurrence of the Spinetail Devil Ray (Mobular mobular)

Maria Grazia Pennino, Nerea Lezama-Ochoa, Martin A. Hall, 2020, Scientific Reports.

The Bias of combining variables on fish’s aggressive behavior studies

Maria Grazia Pennino, M. Pennino, E. Gonçalves-de-Freitas, 2019, Behavioural Processes.

Discard management: A spatial multi-criteria approach

Maria Grazia Pennino, Jose M. Bellido, R. Vilela, 2017 .