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

J Martínez-Minaya, M Cameletti, D Conesa… - … research and risk …, 2018 - Springer
The use of complex statistical models has recently increased substantially in the context of
species distribution behavior. This complexity has made the inferential and predictive …

Ingestion of microplastics and occurrence of parasite association in Mediterranean anchovy and sardine

MG Pennino, E Bachiller, E Lloret-Lloret… - Marine Pollution …, 2020 - Elsevier
We quantified the incidence of microplastics in the gut contents of the European sardine
(Sardina pilchardus) and anchovy (Engraulis encrasicolus) in the Northwestern …

Spatial statistical models: An overview under the Bayesian approach

F Louzada, DC Nascimento, OA Egbon - Axioms, 2021 - mdpi.com
Spatial documentation is exponentially increasing given the availability of Big Data in the
Internet of Things, enabled by device miniaturization and data storage capacity. Bayesian …

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

MG Pennino, D Conesa, A López-Quílez… - ICES Journal of …, 2016 - academic.oup.com
Species map** is an essential tool for conservation programmes as it provides clear
pictures of the distribution of marine resources. However, in fishery ecology, the amount of …

Coral distribution and bleaching vulnerability areas in Southwestern Atlantic under ocean warming

J Bleuel, MG Pennino, GO Longo - Scientific Reports, 2021 - nature.com
Global climate change is a major threat to reefs by increasing the frequency and severity of
coral bleaching events over time, reducing coral cover and diversity. Ocean warming may …

Applying Bayesian spatiotemporal models to fisheries bycatch in the Canadian Arctic

A Cosandey-Godin, ET Krainski, B Worm… - Canadian Journal of …, 2015 - cdnsciencepub.com
Understanding and reducing the incidence of accidental bycatch, particularly for vulnerable
species such as sharks, is a major challenge for contemporary fisheries management. Here …

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

N Lezama-Ochoa, MG Pennino, MA Hall, J Lopez… - Scientific reports, 2020 - nature.com
To protect the most vulnerable marine species it is essential to have an understanding of
their spatiotemporal distributions. In recent decades, Bayesian statistics have been …

Potential application of artificial neural networks for analyzing the occurrences of fish larvae and juveniles in an estuary in northern Vietnam

ANT Do, HD Tran - Aquatic Ecology, 2023 - Springer
The early stages of fish during their life cycle, including larvae and juveniles, are sensitive to
the environment. Determining the occurrences of fish larvae and juvenile relative to their …

Predicting marine species distributions: complementarity of food-web and Bayesian hierarchical modelling approaches

M Coll, MG Pennino, J Steenbeek, J Solé… - Ecological Modelling, 2019 - Elsevier
The spatial prediction of species distributions from survey data is a significant component of
spatial planning and the ecosystem-based management approach to marine resources …

Estimating the spatial distribution of the white shark in the Mediterranean Sea via an integrated species distribution model accounting for physical barriers

G Panunzi, S Moro, I Marques, S Martino… - …, 2025 - Wiley Online Library
Conserving oceanic apex predators, such as sharks, is of utmost importance. However,
scant abundance and distribution data often challenge understanding the population status …