Maria Grazia Pennino
Cited by
Cited by
Fishery discards and bycatch: solutions for an ecosystem approach to fisheries management?
JM Bellido, MB Santos, MG Pennino, X Valeiras, GJ Pierce
Hydrobiologia 670 (1), 317-333, 2011
A risk-based approach to cumulative effect assessments for marine management
V Stelzenmüller, M Coll, AD Mazaris, S Giakoumi, S Katsanevakis, ...
Science of the Total Environment 612, 1132-1140, 2018
Estimation and prediction of the spatial occurrence of fish species using Bayesian latent Gaussian models
F Munoz, MG Pennino, D Conesa, A López-Quílez, JM Bellido
Stochastic Environmental Research and Risk Assessment 27 (5), 1171-1180, 2013
Bayesian spatio-temporal discard model in a demersal trawl fishery
MG Pennino, F Muñoz, D Conesa, A López-Quílez, JM Bellido
Journal of Sea Research 90, 44-53, 2014
Modeling sensitive elasmobranch habitats
MG Pennino, F Muñoz, D Conesa, A López-Quίlez, JM Bellido
Journal of sea research 83, 209-218, 2013
Predicting future invaders and future invasions
A Fournier, C Penone, MG Pennino, F Courchamp
Proceedings of the National Academy of Sciences 116 (16), 7905-7910, 2019
Fishery-dependent and -independent data lead to consistent estimations of essential habitats
MG Pennino, D Consea, A Lopez-Quilez, F Munoz, A Fernandez, ...
ICES Journal of Marine Science, 2016
Bayesian spatio-temporal approach to identifying fish nurseries by validating persistence areas
I Paradinas, D Conesa, MG Pennino, F Munoz, A López-Quílez, ...
Marine Ecology Progress Series, 2015
Identifying the best fishing-suitable areas under the new European discard ban
I Paradinas, M Marín, M Grazia Pennino, A López-Quílez, D Conesa, ...
ICES Journal of Marine Science 73 (10), 2479-2487, 2016
Species distribution modeling: a statistical review with focus in spatio-temporal issues
J Martinez-Minaya, M Cameletti, D Conesa, MG Pennino
Stochastic environmental research and risk assessment 32 (11), 3227-3244, 2018
Climate‐induced changes in the suitable habitat of cold‐water corals and commercially important deep‐sea fishes in the North Atlantic
T Morato, JM González‐Irusta, C Dominguez‐Carrió, CL Wei, A Davies, ...
Global change biology 26 (4), 2181-2202, 2020
Predicting species distribution from fishers’ local ecological knowledge: a new alternative for data-poor management
PFM Lopes, JT Verba, A Begossi, MG Pennino
Canadian journal of fisheries and aquatic sciences 76 (8), 1423-1431, 2019
Identifying fish diversity hot-spots in data-poor situations
V Prado Fonseca, MG Pennino, M de Nobrega, E Lins Oliveira, L Mendes
Marine Environmental Research, 2017
Modeling sensitive parrotfish (Labridae: Scarini) habitats along the Brazilian coast
NC Roos, AR Carvalho, PFM Lopes, MG Pennino
Marine Environmental Research, 2015
Effect of the toxin (microcystin) content of Microcystis on copepod grazing
G Kemal Ali, EJ Faassen, MG Pennino, M Lürling
Harmful Algae 52, 34-45, 2016
Predicting marine species distributions: complementarity of food-web and Bayesian hierarchical modelling approaches
M Coll, MG Pennino, J Steenbeek, J Solé, JM Bellido
Ecological Modelling 405, 86-101, 2019
Trophic indicators to measure the impact of fishing on an exploited ecosystem
MG Pennino, D Conesa, A López–Quílez
Animal Biodiversity and Conservation 34 (1), 123-131, 2011
Accounting for preferential sampling in species distribution models
MG Pennino, I Paradinas, JB Illian, F Muñoz, JM Bellido, A López‐Quílez, ...
Ecology and evolution 9 (1), 653-663, 2019
Environmental factors and megafauna spatio-temporal co-occurrence with purse-seine fisheries
L Escalle, MG Pennino, D Gaertner, P Chavance, A Delgado de Molina, ...
Fisheries Oceanography 25 (4), 433–447, 2016
Shift in tuna catches due to ocean warming
A Monllor-Hurtado, MG Pennino, JL Sánchez Lizaso
Plos ONE 12 (6), e0178196, 2017
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