Quantitative studies of fossil data have proven critical to a number of major
macroevolutionary and macroecological discoveries, such as the 'Big 5'mass extinctions of …

Species distribution models (SDMs) are algorithms designed to infer the distribution of
species using environmental and biotic variables and have become an important tool for …

Using the most comprehensive fish occurrence database, we evaluated the importance of
ecological and historical drivers in diversity patterns of subdrainage basins across the …

Convolutional Neural Networks (CNNs) are statistical models suited for learning complex
visual patterns. In the context of Species Distribution Models (SDM) and in line with …

Spatial truncation in species distribution models (SDMs) might cause niche truncation and
model transferability issues, particularly when extrapolating models to non‐analog …

Climate change is likely to impact multiple dimensions of biodiversity. Species range shifts
are expected and may drive changes in the composition of species assemblages. In some …

Aims Assessing climate change impacts on biodiversity is a main scientific challenge,
especially in the tropics. We predicted the future of plant species and communities on the …

Biodiversity is rapidly changing due to changes in the climate and human related activities;
thus, the accurate predictions of species composition and diversity are critical to develo** …

Community‐level models (CLMs) consider multiple, co‐occurring species in model fitting
and are lesser known alternatives to species distribution models (SDMs) for analysing and …

Growing interest in biodiversity map** has spurred the development of species
distribution atlases, often mainly based on citizen-science projects. Atlas data have been …