Source Themes

Learning from monitoring networks

In order to learn about broad scale ecological patterns, data from large-scale surveys must allow us to either estimate the correlations between the environment and an outcome and/or accurately predict ecological patterns. An important part of data …

Modeling Community Dynamics Through Environmental Effects, Species Interactions and Movement

Understanding how communities respond to environmental change is frustrated by the fact that both species interactions and movement affect biodiversity in unseen ways. To evaluate the contributions of species interactions on community growth, dynamic …

Zero-inflated Beta distribution regression modeling

A frequent challenge encountered with ecological data is how to interpret, analyze, or model data having a high proportion of zeros. Much attention has been given to zero-inflated count data, whereas models for non-negative continuous data with an …

Modeling Spatially Biased Citizen Science Effort Through the eBird Database

Citizen science databases are increasing in importance as sources of ecological information, but variability in location and effort is inherent to such data. Spatially biased data—data not sampled uniformly across the study region—is expected. A …