The decisions we make about how to implement camera trap studies can affect the ecological parameters we are trying to model (e.g. occupancy, density, habitat use, etc), the types of analyses we can use, and how we interpret our findings. A new paper co-authored by WildCAM member Chris Beirne titled An empirical evaluation of camera trap study design: how many, how long, and when? aims to help researchers make informed decisions about how to distribute sampling effort for camera trap research. The authors used an extensive dataset from temperate and tropical ecosystems. These data were used to determine the number of camera stations and the study duration that would result in precise estimates of species richness, occupancy, and detection rates. Sampling effort that led to precise estimates of their response variables was affected by spatial scale and whether species were common or rare and the researchers also cautioned that findings may be affected by seasonality.