Deep learning is driving recent advances behind many everyday technologies, including
speech and image recognition, natural language processing and autonomous driving. It is …

Resource tracking, where animals increase energy gain by moving to track phenological
variation in resources across space, is emerging as a fundamental attribute of animal …

Freshwater fish represent one-fourth of the world's vertebrates and provide irreplaceable
goods and services but are increasingly affected by human activities. A new index …

The Mekong River Basin, site of the biggest inland fishery in the world, is undergoing
massive hydropower development. Planned dams will block critical fish migration routes …

Habitat heterogeneity is considered a primary causal driver underpinning patterns of
diversity, yet the universal role of heterogeneity in structuring biodiversity is unclear due to a …

With the growth of statistical modeling in the ecological sciences, researchers are using
more complex methods, such as artificial neural networks (ANNs), to address problems …

Broad‐scale variation in taxonomic richness is strongly correlated with climate. Many
mechanisms have been hypothesized to explain these patterns; however, testable …

Artificial neural networks (ANNs) are non-linear map** structures based on the function of
the human brain. They have been shown to be universal and highly flexible function …

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

Machine learning methods, a family of statistical techniques with origins in the field of
artificial intelligence, are recognized as holding great promise for the advancement of …