Gaussian processes and random fields have a long history, covering multiple approaches to
representing spatial and spatio-temporal dependence structures, such as covariance …

In the last decades, interest in species distribution models (SDMs) has grown greatly. The
descriptive and predictive power of correlative SDMs is highly valued to meet the high …

In order to better quantify spatial and temporal patterns in freshwater biodiversity, and
potential underlying drivers of change, we must utilise the increasingly broad range of data …

Modern methods for quantifying, predicting and map** species distributions have played
a crucial part in biodiversity conservation. Occupancy models have become a popular …

The EU regulative framework for the protection of marine biodiversity and habitats requires
the assessment of species' conservation status and the identification of core habitats to …

Aim Anthropogenic changes such as land use and climate change affect species'
geographic ranges, causing range shifts, contractions, or expansions. However, data on …

Conserving oceanic apex predators, such as sharks, is of utmost importance. However,
scant abundance and distribution data often challenge understanding the population status …

We report first-time evidence of barrier feeding techniques in the population of common
bottlenose dolphin (Tursiops truncatus) at the estuary of the Tiber River (Rome, Italy), used …

Assessing the distribution of marine apex–predators is pivotal to understanding community
interactions and defining management goals. However, several challenges arise in both …

The integrated nested Laplace approximation (INLA) method has become a popular
approach for computationally efficient approximate Bayesian computation. In particular, by …