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 …

Macroecologists and biogeographers continue to predict the distribution of species across
space based on the relationship between biotic processes and environmental variables …

Anthropogenic noise threatens ecological systems, including the cultural and biodiversity
resources in protected areas. Using continental-scale sound models, we found that …

Data integration is a statistical modeling approach that incorporates multiple data sources
within a unified analytical framework. Macrosystems ecology–the study of ecological …

Sex is ubiquitous and variable throughout the animal kingdom. Historically, scientists have
used reductionist methodologies that rely on a priori sex categorizations, in which two …

The complex and interactive effects of genotype (G), environment (E), and management (M)
can be a barrier to the development of sound agronomic recommendations. We hypothesize …

The increasing demand for ecosystem services in regional development has presented
significant challenges to environmental sustainability. To alleviate environmental pressure, it …

Technological advances have steadily increased the detail of animal tracking datasets, yet
fundamental data limitations exist for many species that cause substantial biases in home …

Ecological diffusion is a theory that can be used to understand and forecast spatio‐temporal
processes such as dispersal, invasion, and the spread of disease. Hierarchical Bayesian …

Bringing Bayesian Models to Life empowers the reader to extend, enhance, and implement
statistical models for ecological and environmental data analysis. We open the black box …