Species distribution modeling: a statistical review with focus in spatio-temporal issues
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 …
species distribution behavior. This complexity has made the inferential and predictive …
Ingestion of microplastics and occurrence of parasite association in Mediterranean anchovy and sardine
We quantified the incidence of microplastics in the gut contents of the European sardine
(Sardina pilchardus) and anchovy (Engraulis encrasicolus) in the Northwestern …
(Sardina pilchardus) and anchovy (Engraulis encrasicolus) in the Northwestern …
Spatial statistical models: An overview under the Bayesian approach
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 …
Internet of Things, enabled by device miniaturization and data storage capacity. Bayesian …
Fishery-dependent and-independent data lead to consistent estimations of essential habitats
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 …
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
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 …
coral bleaching events over time, reducing coral cover and diversity. Ocean warming may …
Applying Bayesian spatiotemporal models to fisheries bycatch in the Canadian Arctic
Understanding and reducing the incidence of accidental bycatch, particularly for vulnerable
species such as sharks, is a major challenge for contemporary fisheries management. Here …
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)
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 …
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 …
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
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 …
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
Conserving oceanic apex predators, such as sharks, is of utmost importance. However,
scant abundance and distribution data often challenge understanding the population status …
scant abundance and distribution data often challenge understanding the population status …